Quality assurance and quality control for autonomously collected geoscience data

NASA Astrophysics Data System (ADS)

Versteeg, R. J.; Richardson, A.; Labrecque, D.

2006-12-01

The growing interest in processes, coupled with the reduction in cost and complexity of sensors which allow for continuous data collection and transmission is giving rise to vast amounts of semi autonomously collected data. Such data is typically collected from a range of physical and chemical sensors and transmitted - either at the time of collection, or periodically as a collection of measurements - to a central server. Such setups can collect vast amounts of data. In cases where power is not an issue one datapoint can be collected every minute, resulting in tens of thousands of data points per month per sensor. Especially in cases in which multiple sensors are deployed it is infeasible to examine each individual datapoint for each individual sensor, and users typically will look at aggregates of such data on a periodic (once a week to once every few months) basis. Such aggregates (and the timelag between data collection and data evaluation) will impact the ability to rapidly identify and resolve data issues. Thus, there is a need to integrate data qa/qc rules and procedures in the data collection process. These should be implemented such that data is analyzed for compliance the moment it arrives at the server, and that any issues with this data result in notification of cognizant personnel. Typical issues (encountered in the field) include complete system failure (resulting in no data arriving at all), to complete sensor failure (data is collected, but is meaningless), to partial sensor failure (sensor gives erratic readings, or starts to exhibit a bias) to partial powerloss (system collects and transmits data only intermittently). We have implemented a suite of such rules and tests as part of the INL developed performance monitoring system. These rules are invoked as part of a data qa/qc workflow, and result in quality indicators for each datapoint as well as user alerts in case of issues. Tests which are applied to the data include tests on individual datapoints, tests on suites of datapoints, and tests applied over the whole dataset. Example of tests include: Did data arrive on time, is received data in a valid format, are all measurements present, is data within valid range, is data collected at appropriate time intervals, are the statistics of the data changing over time and is the data collected within an appropriate instrument calibration window? This approach, which is executed automatically on all data provides data end users with confidence and auditability regarding the quality and useability of autonomously collected data.

Establishing a Commercial Buildings Energy Data Framework for India: A Comprehensive Look at Data Collection Approaches, Use Cases and Institutions

DOE Office of Scientific and Technical Information (OSTI.GOV)

Iyer, Maithili; Kumar, Satish; Mathew, Sangeeta

Enhancing energy efficiency of the commercial building stock is an important aspect of any national energy policy. Understanding how buildings use energy is critical to formulating any new policy that may impact energy use, underscoring the importance of credible data. Data enables informed decision making and good quality data is essential for policy makers to prioritize energy saving strategies and track implementation. Given the uniqueness of the buildings sector and challenges to collecting relevant energy data, this study characterizes various elements involved in pertinent data collection and management, with the specific focus on well-defined data requirements, appropriate methodologies and processes,more » feasible data collection mechanisms, and approaches to institutionalizing the collection process. This report starts with a comprehensive review of available examples of energy data collection frameworks for buildings across different countries. The review covers the U.S. experience in the commercial buildings sector, the European experience in the buildings sector and other data collection initiatives in Singapore and China to capture the more systematic efforts in Asia in the commercial sector. To provide context, the review includes a summary and status of disparate efforts in India to collect and use commercial building energy data. Using this review as a key input, the study developed a data collection framework for India with specific consideration to relevant use cases. Continuing with the framework for data collection, this study outlines the key performance indicators applicable to the use cases and their collection feasibility, as well as immediate priorities of the participating stakeholders. It also discusses potential considerations for data collection and the possible approaches for survey design. With the specific purpose of laying out the possible ways to structure and organize data collection institutionally, the study collates existing mechanisms to analyze building energy performance in India and opportunities for standardizing data collection. This report describes the existing capacities and resources for establishing an institutional framework for data collection, the legislation and mandates that support such activity, and identifies roles and responsibilities of the relevant ministries and organizations. Finally, the study presents conclusions and identifies two major data collection strategies within the existing legal framework.« less

STS payload data collection and accommodations analysis study. Volume 2: Payload data collection

NASA Technical Reports Server (NTRS)

1978-01-01

A format developed for Space Transportation System payload data collection and a process for collecting the data are described along with payload volumes and a data deck to be used as input for the Marshall Interactive Planning System. Summary matrices of the data generated are included.

Tightly integrated single- and multi-crystal data collection strategy calculation and parallelized data processing in JBluIce beamline control system

PubMed Central

Pothineni, Sudhir Babu; Venugopalan, Nagarajan; Ogata, Craig M.; Hilgart, Mark C.; Stepanov, Sergey; Sanishvili, Ruslan; Becker, Michael; Winter, Graeme; Sauter, Nicholas K.; Smith, Janet L.; Fischetti, Robert F.

2014-01-01

The calculation of single- and multi-crystal data collection strategies and a data processing pipeline have been tightly integrated into the macromolecular crystallographic data acquisition and beamline control software JBluIce. Both tasks employ wrapper scripts around existing crystallographic software. JBluIce executes scripts through a distributed resource management system to make efficient use of all available computing resources through parallel processing. The JBluIce single-crystal data collection strategy feature uses a choice of strategy programs to help users rank sample crystals and collect data. The strategy results can be conveniently exported to a data collection run. The JBluIce multi-crystal strategy feature calculates a collection strategy to optimize coverage of reciprocal space in cases where incomplete data are available from previous samples. The JBluIce data processing runs simultaneously with data collection using a choice of data reduction wrappers for integration and scaling of newly collected data, with an option for merging with pre-existing data. Data are processed separately if collected from multiple sites on a crystal or from multiple crystals, then scaled and merged. Results from all strategy and processing calculations are displayed in relevant tabs of JBluIce. PMID:25484844

Tightly integrated single- and multi-crystal data collection strategy calculation and parallelized data processing in JBluIce beamline control system

DOE PAGES

Pothineni, Sudhir Babu; Venugopalan, Nagarajan; Ogata, Craig M.; ...

2014-11-18

The calculation of single- and multi-crystal data collection strategies and a data processing pipeline have been tightly integrated into the macromolecular crystallographic data acquisition and beamline control software JBluIce. Both tasks employ wrapper scripts around existing crystallographic software. JBluIce executes scripts through a distributed resource management system to make efficient use of all available computing resources through parallel processing. The JBluIce single-crystal data collection strategy feature uses a choice of strategy programs to help users rank sample crystals and collect data. The strategy results can be conveniently exported to a data collection run. The JBluIce multi-crystal strategy feature calculates amore » collection strategy to optimize coverage of reciprocal space in cases where incomplete data are available from previous samples. The JBluIce data processing runs simultaneously with data collection using a choice of data reduction wrappers for integration and scaling of newly collected data, with an option for merging with pre-existing data. Data are processed separately if collected from multiple sites on a crystal or from multiple crystals, then scaled and merged. Results from all strategy and processing calculations are displayed in relevant tabs of JBluIce.« less

77 FR 28853 - Proposed Information Collection; Comment Request; Generic Clearance for Usability Data Collections

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-16

... the Department of Commerce, proposes to conduct a number of data collection efforts--both quantitative and qualitative. The data collections will be designed to determine requirement and evaluate the usability and utility of NIST research for measurement and standardization work. These data collections...

Reliable Collection of Real-Time Patient Physiologic Data from less Reliable Networks: a "Monitor of Monitors" System (MoMs).

PubMed

Hu, Peter F; Yang, Shiming; Li, Hsiao-Chi; Stansbury, Lynn G; Yang, Fan; Hagegeorge, George; Miller, Catriona; Rock, Peter; Stein, Deborah M; Mackenzie, Colin F

2017-01-01

Research and practice based on automated electronic patient monitoring and data collection systems is significantly limited by system down time. We asked whether a triple-redundant Monitor of Monitors System (MoMs) to collect and summarize key information from system-wide data sources could achieve high fault tolerance, early diagnosis of system failure, and improve data collection rates. In our Level I trauma center, patient vital signs(VS) monitors were networked to collect real time patient physiologic data streams from 94 bed units in our various resuscitation, operating, and critical care units. To minimize the impact of server collection failure, three BedMaster® VS servers were used in parallel to collect data from all bed units. To locate and diagnose system failures, we summarized critical information from high throughput datastreams in real-time in a dashboard viewer and compared the before and post MoMs phases to evaluate data collection performance as availability time, active collection rates, and gap duration, occurrence, and categories. Single-server collection rates in the 3-month period before MoMs deployment ranged from 27.8 % to 40.5 % with combined 79.1 % collection rate. Reasons for gaps included collection server failure, software instability, individual bed setting inconsistency, and monitor servicing. In the 6-month post MoMs deployment period, average collection rates were 99.9 %. A triple redundant patient data collection system with real-time diagnostic information summarization and representation improved the reliability of massive clinical data collection to nearly 100 % in a Level I trauma center. Such data collection framework may also increase the automation level of hospital-wise information aggregation for optimal allocation of health care resources.

Spine Tango registry data collection in a conservative spinal service: a feasibility study.

PubMed

Morris, Samuel; Booth, James; Hegarty, James

2016-09-01

The study reports the feasibility of implementing routine registry data collection and sustaining a high rate of data capture within a secondary care spinal osteopathy service, using the Spine Tango Conservative registry data collection tool (STC) with multiple patient-reported outcome measures (PROMs): Oswestry Disability Index (ODI), Neck Disability Index (NDI), COMI Low Back Conservative, COMI Neck Conservative and EQ-5D-3L. Data collection rates were studied during the implementation of a registry data collection project from October 2011 to June 2015. The primary outcome was completion rate of PROMs and the STC, measured as a percentage of total expected data collection. Descriptive statistics were used to illustrate completion rates by year, age group, sex, region of spinal complaint, baseline ODI or NDI score and number of PROMs required to complete the data set. Data were collected on 349 patients. Overall data collection rates increased from 54.8 % in January-June 2012 to 90.4 % in January-June 2015. The percentage of fully completed data sets was lower in the patient group required to complete 4-5 PROMs at each data collection point (15.4 %) than it was in the patient group required to complete 2-3 PROMs (37.4 %). Other comparisons showed no clear patterns. Our analysis shows that a high rate of data capture can be sustained in a clinical setting using the STC and multiple PROMs. However, increasing the burden of data collection on patients and practitioners was associated with increased data loss. We describe measures taken to reduce data loss in the future and to increase the efficiency of the data collection project.

45 CFR 153.340 - Data collection under risk adjustment.

Code of Federal Regulations, 2012 CFR

2012-10-01

... program, the State may vary the amount and type of data collected, but the State must collect or calculate... 45 Public Welfare 1 2012-10-01 2012-10-01 false Data collection under risk adjustment. 153.340... CARE ACT State Standards Related to the Risk Adjustment Program § 153.340 Data collection under risk...

34 CFR 300.601 - State performance plans and data collection.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Monitoring, Technical Assistance, and Enforcement § 300.601 State performance plans and data collection. (a... 34 Education 2 2010-07-01 2010-07-01 false State performance plans and data collection. 300.601... described in § 300.600(d). (b) Data collection. (1) Each State must collect valid and reliable information...

40 CFR 60.3041 - What is the minimum amount of monitoring data I must collect with my continuous emission...

Code of Federal Regulations, 2010 CFR

2010-07-01

... monitoring data I must collect with my continuous emission monitoring systems, and is the data collection... collect with my continuous emission monitoring systems, and is the data collection requirement enforceable? (a) Where continuous emission monitoring systems are required, obtain 1-hour arithmetic averages...

40 CFR 60.3041 - What is the minimum amount of monitoring data I must collect with my continuous emission...

Code of Federal Regulations, 2011 CFR

2011-07-01

... monitoring data I must collect with my continuous emission monitoring systems, and is the data collection... collect with my continuous emission monitoring systems, and is the data collection requirement enforceable? (a) Where continuous emission monitoring systems are required, obtain 1-hour arithmetic averages...

Investigations into near-real-time surveying for geophysical data collection using an autonomous ground vehicle

USGS Publications Warehouse

Phelps, Geoffrey A.; Ippolito, C.; Lee, R.; Spritzer, R.; Yeh, Y.

2014-01-01

The U.S. Geological Survey and the National Aeronautics and Space Administration are cooperatively investigating the utility of unmanned vehicles for near-real-time autonomous surveys of geophysical data collection. Initially focused on unmanned ground vehicle collection of magnetic data, this cooperative effort has brought unmanned surveying, precision guidance, near-real-time communication, on-the-fly data processing, and near-real-time data interpretation into the realm of ground geophysical surveying, all of which offer advantages over current methods of manned collection of ground magnetic data. An unmanned ground vehicle mission has demonstrated that these vehicles can successfully complete missions to collect geophysical data, and add advantages in data collection, processing, and interpretation. We view the current experiment as an initial phase in further unmanned vehicle data-collection missions, including aerial surveying.

20 CFR 653.109 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 20 Employees' Benefits 3 2014-04-01 2014-04-01 false Data collection. 653.109 Section 653.109... SERVICE SYSTEM Services for Migrant and Seasonal Farmworkers (MSFWs) § 653.109 Data collection. State agencies shall: (a) Collect data on MSFWs, including data on the number (1) contacted through outreach...

20 CFR 653.109 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 20 Employees' Benefits 3 2013-04-01 2013-04-01 false Data collection. 653.109 Section 653.109... SERVICE SYSTEM Services for Migrant and Seasonal Farmworkers (MSFWs) § 653.109 Data collection. State agencies shall: (a) Collect data on MSFWs, including data on the number (1) contacted through outreach...

20 CFR 653.109 - Data collection.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 20 Employees' Benefits 3 2012-04-01 2012-04-01 false Data collection. 653.109 Section 653.109... SERVICE SYSTEM Services for Migrant and Seasonal Farmworkers (MSFWs) § 653.109 Data collection. State agencies shall: (a) Collect data on MSFWs, including data on the number (1) contacted through outreach...

20 CFR 653.109 - Data collection.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 20 Employees' Benefits 3 2011-04-01 2011-04-01 false Data collection. 653.109 Section 653.109... SERVICE SYSTEM Services for Migrant and Seasonal Farmworkers (MSFWs) § 653.109 Data collection. State agencies shall: (a) Collect data on MSFWs, including data on the number (1) contacted through outreach...

20 CFR 653.109 - Data collection.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Data collection. 653.109 Section 653.109... SERVICE SYSTEM Services for Migrant and Seasonal Farmworkers (MSFWs) § 653.109 Data collection. State agencies shall: (a) Collect data on MSFWs, including data on the number (1) contacted through outreach...

75 FR 14630 - Agency Information Collection Activities: Proposed Collection; Comments Requested

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-26

... on a recurring basis. In the SCPS data collection program, felony defendants are tracked for up to 1 year with data collected on a variety of felony case processing characteristics. These include the... convicted, sentencing data are collected. The SCPS 2009 project also involves collecting aggregate...

77 FR 64343 - Agency Information Collection Activities: Submission for OMB Review; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-19

... Information Collection Request: New collection; Title of Information Collection: Minimum Data Set for Medicaid... National Registry of Evidence-Based Programs. The proposed information collection, the MIPCD Minimum Data Set (MDS), is intended to collect data for program performance monitoring and evaluation. The MDS is a...

Missouri K-12 school collection and reporting of school-based syndromic surveillance data: a cross sectional study.

PubMed

Rebmann, Terri; Kunerth, Allison K; Zelicoff, Alan; Elliott, Michael B; Wieldt, Harper F

2016-02-01

School participation in collecting and reporting syndromic surveillance (SS) data to public health officials and school nurses' attitudes regarding SS have not been assessed. An online survey was sent to Missouri Association of School Nurses members during the 2013/2014 school year to assess whether K-12 schools were collecting and reporting SS data. Z-scores were used to assess collection versus reporting of SS indicators. Logistic regressions were used to describe factors predicting nurses' collection and reporting of SS indicators: all-cause absenteeism, influenza-like illness and gastrointestinal illness. Univariate predictors were assessed with Chi-Squares. In total, 133 school nurses participated (33.6 % response rate). Almost all (90.2 %, n = 120) collect at least one SS indicator; half (49.6 %, n = 66) report at least one. Schools are collecting more SS data than they are reporting to the health department (p < .05 for all comparisons). Determinants of school nurses' collection of SS data included perceived administrative support, and knowledge of collecting and analyzing SS data. The strongest predictive factors for reporting SS data were the perception that the health department was interested in SS data and being approached by the health department to collect SS data. Schools are collecting SS indicators at a relatively high rate, yet less than half of the data is reported to public health officials. Findings from this study indicate that public health officials can increase access to school-based SS data by approaching schools about collecting and reporting this important data.

Common data elements collected among universities for sport-related concussion studies.

PubMed

Yang, Jingzhen; Peek-Asa, Corinne; Noble, James M; Torner, James; Schmidt, Paul; Cooper, Martha L

2018-02-12

Universities are increasingly implementing programs to effectively respond to and manage sport-related concussions (SRCs). One such effort is to develop common data elements (CDEs) and standardize data collection methods. The objectives of this study were to describe CDEs currently collected by Big Ten and Ivy League universities for SRC studies, and to compare the data collected with the core CDEs recommended by the National Institute of Neurological Disorders and Stroke (NINDS). We conducted an anonymous cross-sectional online survey among medical staff at the 14 Big Ten and 8 Ivy League universities (one per university) between September and October 2015. The survey instrument, including 9 questions corresponding to the concussion data collected before, during, and after a concussion, was developed and pilot-tested before field use. We analyzed patterns of the concussion CDEs being collected, including when, what, and how the data were collected and stored, and compared them with the NINDS' recommended core CDEs. A total of 19 out of 22 universities were included, with 13 from Big Ten and 6 from Ivy-League universities. All 19 participating universities currently collected concussion data with athletes before, during, and after a concussion. Great similarities in data collection were observed at baseline and acutely post-concussion across participating universities. All 19 universities collected at least one of the ten recommended acute symptoms checklists, and 18 universities collected one of the four recommended core neuropsychological function cognitive measures. However, CDEs in the sub-acute and chronic timeframes were limited, with only 9 (47%) universities collecting post-concussion short to long term outcome data. While over 60% of universities collected and stored concussion data electronically, only 17% to 42% of data collected were readily available for research. Significant inter-institutional similarities in acute concussion CDEs were found. Further efforts should focus on collecting sub-acute and chronic timeframe core CDEs and creating data access protocols to facilitate evidence-based concussion prevention and treatment for all collegiate athletes.

40 CFR 51.365 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 40 Protection of Environment 2 2014-07-01 2014-07-01 false Data collection. 51.365 Section 51.365....365 Data collection. Accurate data collection is essential to the management, evaluation, and enforcement of an I/M program. The program shall gather test data on individual vehicles, as well as quality...

Guide to data collection

NASA Technical Reports Server (NTRS)

1981-01-01

Guidelines and recommendations are presented for the collection of software development data. Motivation and planning for, and implementation and management of, a data collection effort are discussed. Topics covered include types, sources, and availability of data; methods and costs of data collection; types of analyses supported; and warnings and suggestions based on software engineering laboratory (SEL) experiences. This document is intended as a practical guide for software managers and engineers, abstracted and generalized from 5 years of SEL data collection.

Study of data collection platform concepts: Data collection system user requirements

NASA Technical Reports Server (NTRS)

1973-01-01

The overall purpose of the survey was to provide real world data on user requirements. The intent was to assess data collection system user requirements by questioning actual potential users rather than speculating on requirements. The end results of the survey are baseline requirements models for both a data collection platform and a data collection system. These models were derived from the survey results. The real value of these models lies in the fact that they are based on actual user requirements as delineated in the survey questionnaires. Some users desire data collection platforms of small size and light weight. These sizes and weights are beyond the present state of the art. Also, the survey provided a wealth of information on the nature and constituency of the data collection user community as well as information on user applications for data collection systems. Finally, the data sheds light on the generalized platform concept. That is, the diversity of user requirements shown in the data indicates the difficulty that can be anticipated in attempting to implement such a concept.

Series: Pragmatic trials and real world evidence: Paper 8. Data collection and management.

PubMed

Meinecke, Anna-Katharina; Welsing, Paco; Kafatos, George; Burke, Des; Trelle, Sven; Kubin, Maria; Nachbaur, Gaelle; Egger, Matthias; Zuidgeest, Mira

2017-11-01

Pragmatic trials can improve our understanding of how treatments will perform in routine practice. In a series of eight papers, the GetReal Consortium has evaluated the challenges in designing and conducting pragmatic trials and their specific methodological, operational, regulatory, and ethical implications. The present final paper of the series discusses the operational and methodological challenges of data collection in pragmatic trials. A more pragmatic data collection needs to balance the delivery of highly accurate and complete data with minimizing the level of interference that data entry and verification induce with clinical practice. Furthermore, it should allow for the involvement of a representative sample of practices, physicians, and patients who prescribe/receive treatment in routine care. This paper discusses challenges that are related to the different methods of data collection and presents potential solutions where possible. No one-size-fits-all recommendation can be given for the collection of data in pragmatic trials, although in general the application of existing routinely used data-collection systems and processes seems to best suit the pragmatic approach. However, data access and privacy, the time points of data collection, the level of detail in the data, and the lack of a clear understanding of the data-collection process were identified as main challenges for the usage of routinely collected data in pragmatic trials. A first step should be to determine to what extent existing health care databases provide the necessary study data and can accommodate data collection and management. When more elaborate or detailed data collection or more structured follow-up is required, data collection in a pragmatic trial will have to be tailor-made, often using a hybrid approach using a dedicated electronic case report form (eCRF). In this case, the eCRF should be kept as simple as possible to reduce the burden for practitioners and minimize influence on routine clinical practice. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

The Feasibility of Collecting School Nurse Data.

PubMed

Bergren, Martha Dewey

2016-10-01

School nurses cite barriers to collecting comprehensive data on the care they provide. This study evaluated the feasibility of collecting school nurse data on selected child health and education outcomes. Outcome variables included school health office visits; health provider, parent, and staff communication; early dismissal; and medications administered. On an average day, the school nurses cared for 43.5 students, administered 14 medications, and averaged of 17 daily communications. Day 1 data collection times averaged 15 min or less. By Day 5, 6.6 min was needed to complete the survey. Data collection was feasible for 76% of those who elected to participate. Feasibility is enhanced by limiting the number of data points and the number of days for data collection using a data collection web interface. Data collection across large numbers of nurses and a wide range of school nurse delivery models is necessary to measure the impact of school nurse presence and interventions on child health and education outcomes. © The Author(s) 2016.

40 CFR 60.1825 - What is the minimum amount of monitoring data I must collect with my continuous parameter...

Code of Federal Regulations, 2010 CFR

2010-07-01

... monitoring data I must collect with my continuous parameter monitoring systems and is the data collection... must collect with my continuous parameter monitoring systems and is the data collection requirement enforceable? (a) Where continuous parameter monitoring systems are used, obtain 1-hour arithmetic averages for...

40 CFR 60.1750 - What is the minimum amount of monitoring data I must collect with my continuous emission...

Code of Federal Regulations, 2011 CFR

2011-07-01

... monitoring data I must collect with my continuous emission monitoring systems and is the data collection... I must collect with my continuous emission monitoring systems and is the data collection requirement enforceable? (a) Where continuous emission monitoring systems are required, obtain 1-hour arithmetic averages...

40 CFR 60.1825 - What is the minimum amount of monitoring data I must collect with my continuous parameter...

Code of Federal Regulations, 2011 CFR

2011-07-01

... monitoring data I must collect with my continuous parameter monitoring systems and is the data collection... must collect with my continuous parameter monitoring systems and is the data collection requirement enforceable? (a) Where continuous parameter monitoring systems are used, obtain 1-hour arithmetic averages for...

40 CFR 60.1750 - What is the minimum amount of monitoring data I must collect with my continuous emission...

Code of Federal Regulations, 2010 CFR

2010-07-01

... monitoring data I must collect with my continuous emission monitoring systems and is the data collection... I must collect with my continuous emission monitoring systems and is the data collection requirement enforceable? (a) Where continuous emission monitoring systems are required, obtain 1-hour arithmetic averages...

Novel and emerging strategies for longitudinal data collection.

PubMed

Udtha, Malini; Nomie, Krystle; Yu, Erica; Sanner, Jennifer

2015-03-01

To describe novel and emerging strategies practiced globally in research to improve longitudinal data collection. In research studies, numerous strategies such as telephone interviews, postal mailing, online questionnaires, and electronic mail are traditionally utilized in longitudinal data collection. However, due to technological advances, novel and emerging strategies have been applied to longitudinal data collection, such as two-way short message service, smartphone applications (or "apps"), retrieval capabilities applied to the electronic medical record, and an adapted cloud interface. In this review, traditional longitudinal data collection strategies are briefly described, emerging and novel strategies are detailed and explored, and information regarding the impact of novel methods on participant response rates, the timeliness of participant responses, and cost is provided. We further discuss how these novel and emerging strategies affect longitudinal data collection and advance research, specifically nursing research. Evidence suggests that the novel and emerging longitudinal data collection strategies discussed in this review are valuable approaches to consider. These strategies facilitate collecting longitudinal research data to better understand a variety of health-related conditions. Future studies, including nursing research, should consider using novel and emerging strategies to advance longitudinal data collection. A better understanding of novel and emerging longitudinal data collection strategies will ultimately improve longitudinal data collection as well as foster research efforts. Nurse researchers, along with all researchers, must be aware of and consider implementing novel and emerging strategies to ensure future healthcare research success. © 2014 Sigma Theta Tau International.

The public cancer radiology imaging collections of The Cancer Imaging Archive.

PubMed

Prior, Fred; Smith, Kirk; Sharma, Ashish; Kirby, Justin; Tarbox, Lawrence; Clark, Ken; Bennett, William; Nolan, Tracy; Freymann, John

2017-09-19

The Cancer Imaging Archive (TCIA) is the U.S. National Cancer Institute's repository for cancer imaging and related information. TCIA contains 30.9 million radiology images representing data collected from approximately 37,568 subjects. This data is organized into collections by tumor-type with many collections also including analytic results or clinical data. TCIA staff carefully de-identify and curate all incoming collections prior to making the information available via web browser or programmatic interfaces. Each published collection within TCIA is assigned a Digital Object Identifier that references the collection. Additionally, researchers who use TCIA data may publish the subset of information used in their analysis by requesting a TCIA generated Digital Object Identifier. This data descriptor is a review of a selected subset of existing publicly available TCIA collections. It outlines the curation and publication methods employed by TCIA and makes available 15 collections of cancer imaging data.

Estimation of Japanese international financial assistance for HIV/AIDS control for 2003-2007: difficulties and limitations of data collection.

PubMed

Mori, Koichiro; Yonemoto, Kiyoshi; Takei, Teiji; Izazola-Licea, Jose; Gobet, Benjamin

2010-01-01

The purpose of this paper is to: (1) collect relevant data and estimate Japanese international financial assistance for HIV/AIDS control; (2) discuss the difficulties in collecting relevant data and the limitations of the collected data; and (3) conduct a comparative analysis on the estimated data with OECD and Kaiser Family Foundation aggregate data. The point is that we have comprehensively collected and estimated the data on Japanese international expenditures for HIV/AIDS control while there is no reliable data that is totally managed and published. In addition, we discuss the difficulties and limitations of data collection: unpublished data; insufficient data; inseparable data; problems of exchange rates; gaps between disbursement and commitment; and difference in year period among calendar, fiscal and organization-specific years. Furthermore, we show the risk of underestimating the Japanese international contribution to HIV/AIDS control on the basis of OECD and Kaiser data. In this respect, it is significant to comprehensively collect and estimate the data on Japanese international assistance for HIV/AIDS control. Finally, we derive the implication that it is crucial for a relevant international organization and/or individual countries to comprehensively collect and administer data for international cooperation in the development of health policies for HIV/AIDS.

Collecting verbal autopsies: improving and streamlining data collection processes using electronic tablets.

PubMed

Flaxman, Abraham D; Stewart, Andrea; Joseph, Jonathan C; Alam, Nurul; Alam, Sayed Saidul; Chowdhury, Hafizur; Mooney, Meghan D; Rampatige, Rasika; Remolador, Hazel; Sanvictores, Diozele; Serina, Peter T; Streatfield, Peter Kim; Tallo, Veronica; Murray, Christopher J L; Hernandez, Bernardo; Lopez, Alan D; Riley, Ian Douglas

2018-02-01

There is increasing interest in using verbal autopsy to produce nationally representative population-level estimates of causes of death. However, the burden of processing a large quantity of surveys collected with paper and pencil has been a barrier to scaling up verbal autopsy surveillance. Direct electronic data capture has been used in other large-scale surveys and can be used in verbal autopsy as well, to reduce time and cost of going from collected data to actionable information. We collected verbal autopsy interviews using paper and pencil and using electronic tablets at two sites, and measured the cost and time required to process the surveys for analysis. From these cost and time data, we extrapolated costs associated with conducting large-scale surveillance with verbal autopsy. We found that the median time between data collection and data entry for surveys collected on paper and pencil was approximately 3 months. For surveys collected on electronic tablets, this was less than 2 days. For small-scale surveys, we found that the upfront costs of purchasing electronic tablets was the primary cost and resulted in a higher total cost. For large-scale surveys, the costs associated with data entry exceeded the cost of the tablets, so electronic data capture provides both a quicker and cheaper method of data collection. As countries increase verbal autopsy surveillance, it is important to consider the best way to design sustainable systems for data collection. Electronic data capture has the potential to greatly reduce the time and costs associated with data collection. For long-term, large-scale surveillance required by national vital statistical systems, electronic data capture reduces costs and allows data to be available sooner.

Data Collection with Linux in the Undergraduate Physics Lab

NASA Astrophysics Data System (ADS)

Ramey, R. Dwayne

2004-11-01

Electronic data devices such as photogates can greatly facilitate data collection in the undergraduate physics laboratory. Unfortunately, these devices have several practical drawbacks. While the photogates themselves are not particularly expensive, manufacturers of these devices have created intermediary hardware devices for data buffering and manipulation. These devices, while useful in some contexts, greatly increase the overall price of data collection and, through the use of proprietary software, limit the ability of the enduser to customize the software. As an alternative, I outline the procedure for establishing a computer-based data collection system that consists of opensource software and user constructed connections. The data collection system consists of the wiring needed to connect a data device to a computer and the software needed to collect and manipulate data. Data devices can be connected to a computer through either through the USB port or the gameport of a sound card. Software capable of collecting and manipulating the data from a photogate type device on a Linux system has been developed and will be discrussed. Results for typical undergraduate photogate based experiments will be shown, error limits and data collect rates will be discussed for both the gameport and USB connections.

77 FR 75434 - Proposed Agency Information Collection Activities; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-20

... Credit Card Data Collection Data Dictionary The Federal Reserve proposes to add 65 data items to the Domestic Credit Card Data Collection Data Dictionary schedule. 46 data items would be added at the account...

77 FR 13151 - Agency Information Collection Activities: Proposed Collection; Comments Requested; Records and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-05

... Data: Daily Summaries, Records of Production, Storage, and Disposition, and Supporting Data by Licensed... approved collection. (2) Title of the Form/Collection: Records and Supporting Data: Daily Summaries, Records of Production, Storage and Disposition and Supporting Data by Explosives Manufacturers. (3) Agency...

Enhancements for a Dynamic Data Warehousing and Mining System for Large-scale HSCB Data

DTIC Science & Technology

2016-06-20

YouTube Data Collection ................................................................................. 2 1.1.1 Scraawl YouTube Data Collection API...Development ............................... 2 1.1.2 Scraawl UI Development for YouTube Searches ....................................... 3 2 Current...following tasks.  Developed automated YouTube data collection capabilities. We have developed automated YouTube video metadata collection capabilities and

Demonstration of LiDAR and Orthophotography for Wide Area Assessment at Pueblo Precision Bombing Range #2, Colorado

DTIC Science & Technology

2008-01-01

Figure 11. Screenshot of OrthoPro seam lines (pink), tiles (blue), and photos (green)................ 26 Figure 12. Calibration craters (existing...with aerial targets for the orthophotography data collection, 1 per data collection tile (1 sq km). For the Phase I data collection, 9 LiDAR ground...Orthophotography data were collected concurrently with the LiDAR data collection. Based on the LiDAR flight line spacing parameters, the orthophoto images were

Nurse staffing levels and outcomes - mining the UK national data sets for insight.

PubMed

Leary, Alison; Tomai, Barbara; Swift, Adrian; Woodward, Andrew; Hurst, Keith

2017-04-18

Purpose Despite the generation of mass data by the nursing workforce, determining the impact of the contribution to patient safety remains challenging. Several cross-sectional studies have indicated a relationship between staffing and safety. The purpose of this paper is to uncover possible associations and explore if a deeper understanding of relationships between staffing and other factors such as safety could be revealed within routinely collected national data sets. Design/methodology/approach Two longitudinal routinely collected data sets consisting of 30 years of UK nurse staffing data and seven years of National Health Service (NHS) benchmark data such as survey results, safety and other indicators were used. A correlation matrix was built and a linear correlation operation was applied (Pearson product-moment correlation coefficient). Findings A number of associations were revealed within both the UK staffing data set and the NHS benchmarking data set. However, the challenges of using these data sets soon became apparent. Practical implications Staff time and effort are required to collect these data. The limitations of these data sets include inconsistent data collection and quality. The mode of data collection and the itemset collected should be reviewed to generate a data set with robust clinical application. Originality/value This paper revealed that relationships are likely to be complex and non-linear; however, the main contribution of the paper is the identification of the limitations of routinely collected data. Much time and effort is expended in collecting this data; however, its validity, usefulness and method of routine national data collection appear to require re-examination.

Routine data for disease surveillance in the undeveloped region of the OR Tambo district of the Eastern Cape Province.

PubMed

Kabuya, Chrispin; Wright, Graham; Odama, Anthony; O'Mahoney, Don

2014-01-01

The research team needed to upsize the solution previously tested so that it could expand the routine data collected via tablet computers. The research team identified the general flow of data within clinics. Data was mainly collected from registers, which were later converted to electronic form and checked for duplication. A database was designed for the collection of demographic data (Patient Master Index), which was aimed at eliminating duplication of patients' data in several registers. Open Data Kit (ODK) Collect was setup on Android tablets for collecting disease related routine data, while ODK Aggregate as the storage and aggregates of data captured by ODK Collect and the Patient Master Index for demographic data, were setup on an Apple Mini Mac server. Data collection is in progress. The expected results include improved data quality, reliability and quick access to summary data. Secondly, instant retrieval of patient demographic details and clinic numbers are included. Thirdly, ability to form standard reporting from the SQL database and lastly exporting data into the TIER.net and DHIS systems via CVS files thus eliminating the need for data capturers are shown.

EpiCollect+: linking smartphones to web applications for complex data collection projects

PubMed Central

Aanensen, David M.; Huntley, Derek M.; Menegazzo, Mirko; Powell, Chris I.; Spratt, Brian G.

2014-01-01

Previously, we have described the development of the generic mobile phone data gathering tool, EpiCollect, and an associated web application, providing two-way communication between multiple data gatherers and a project database. This software only allows data collection on the phone using a single questionnaire form that is tailored to the needs of the user (including a single GPS point and photo per entry), whereas many applications require a more complex structure, allowing users to link a series of forms in a linear or branching hierarchy, along with the addition of any number of media types accessible from smartphones and/or tablet devices (e.g., GPS, photos, videos, sound clips and barcode scanning). A much enhanced version of EpiCollect has been developed (EpiCollect+). The individual data collection forms in EpiCollect+ provide more design complexity than the single form used in EpiCollect, and the software allows the generation of complex data collection projects through the ability to link many forms together in a linear (or branching) hierarchy. Furthermore, EpiCollect+ allows the collection of multiple media types as well as standard text fields, increased data validation and form logic. The entire process of setting up a complex mobile phone data collection project to the specification of a user (project and form definitions) can be undertaken at the EpiCollect+ website using a simple ‘drag and drop’ procedure, with visualisation of the data gathered using Google Maps and charts at the project website. EpiCollect+ is suitable for situations where multiple users transmit complex data by mobile phone (or other Android devices) to a single project web database and is already being used for a range of field projects, particularly public health projects in sub-Saharan Africa. However, many uses can be envisaged from education, ecology and epidemiology to citizen science. PMID:25485096

EpiCollect+: linking smartphones to web applications for complex data collection projects.

PubMed

Aanensen, David M; Huntley, Derek M; Menegazzo, Mirko; Powell, Chris I; Spratt, Brian G

2014-01-01

Previously, we have described the development of the generic mobile phone data gathering tool, EpiCollect, and an associated web application, providing two-way communication between multiple data gatherers and a project database. This software only allows data collection on the phone using a single questionnaire form that is tailored to the needs of the user (including a single GPS point and photo per entry), whereas many applications require a more complex structure, allowing users to link a series of forms in a linear or branching hierarchy, along with the addition of any number of media types accessible from smartphones and/or tablet devices (e.g., GPS, photos, videos, sound clips and barcode scanning). A much enhanced version of EpiCollect has been developed (EpiCollect+). The individual data collection forms in EpiCollect+ provide more design complexity than the single form used in EpiCollect, and the software allows the generation of complex data collection projects through the ability to link many forms together in a linear (or branching) hierarchy. Furthermore, EpiCollect+ allows the collection of multiple media types as well as standard text fields, increased data validation and form logic. The entire process of setting up a complex mobile phone data collection project to the specification of a user (project and form definitions) can be undertaken at the EpiCollect+ website using a simple 'drag and drop' procedure, with visualisation of the data gathered using Google Maps and charts at the project website. EpiCollect+ is suitable for situations where multiple users transmit complex data by mobile phone (or other Android devices) to a single project web database and is already being used for a range of field projects, particularly public health projects in sub-Saharan Africa. However, many uses can be envisaged from education, ecology and epidemiology to citizen science.

Data collection with the ACTS propagation terminal

NASA Technical Reports Server (NTRS)

Remaklus, Will

1993-01-01

Viewgraphs on data collection with the ACTS propagation terminal are included. Topics covered include: DACS system overview; DACS board; APT data collection computer; APT software downloading; data storage for APT; and ACTS propagation experiment data flow.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Coppens, Philip; Makal, Anna; Fournier, Bertrand

In picosecond and slower pump–probe diffraction experiments, collection of response–ratio correlation sets prior to full data collection provides an invaluable confirmation of the existence of a light-induced signal prior to full data collection. If a response to light exposure is observed, the quality of the data being collected can be assessed. We present a number of such correlation plots both for synchrotron and in-house pump–probe data collection.

United States data collection activities and requirements, volume 1

NASA Technical Reports Server (NTRS)

Hrin, S.; Mcgregor, D.

1977-01-01

The potential market for a data collection system was investigated to determine whether the user needs would be sufficient to support a satellite relay data collection system design. The activities of 107,407 data collections stations were studied to determine user needs in agriculture, climatology, environmental monitoring, forestry, geology, hydrology, meteorology, and oceanography. Descriptions of 50 distinct data collections networks are described and used to form the user data base. The computer program used to analyze the station data base is discussed, and results of the analysis are presented in maps and graphs. Information format and coding is described in the appendix.

75 FR 79056 - Proposed Data Collection(s) Available for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-12-17

... RAILROAD RETIREMENT BOARD Proposed Data Collection(s) Available for Public Comment and Recommendations SUMMARY: In accordance with the requirement of Section 3506 (c)(2)(A) of the Paperwork Reduction Act of 1995 which provides opportunity for public comment on new or revised data collections, the...

Discovery and analysis of time delay sources in the USGS personal computer data collection platform (PCDCP) system

USGS Publications Warehouse

White, Timothy C.; Sauter, Edward A.; Stewart, Duff C.

2014-01-01

Intermagnet is an international oversight group which exists to establish a global network for geomagnetic observatories. This group establishes data standards and standard operating procedures for members and prospective members. Intermagnet has proposed a new One-Second Data Standard, for that emerging geomagnetic product. The standard specifies that all data collected must have a time stamp accuracy of ±10 milliseconds of the top-of-the-second Coordinated Universal Time. Therefore, the U.S. Geological Survey Geomagnetism Program has designed and executed several tests on its current data collection system, the Personal Computer Data Collection Platform. Tests are designed to measure the time shifts introduced by individual components within the data collection system, as well as to measure the time shift introduced by the entire Personal Computer Data Collection Platform. Additional testing designed for Intermagnet will be used to validate further such measurements. Current results of the measurements showed a 5.0–19.9 millisecond lag for the vertical channel (Z) of the Personal Computer Data Collection Platform and a 13.0–25.8 millisecond lag for horizontal channels (H and D) of the collection system. These measurements represent a dynamically changing delay introduced within the U.S. Geological Survey Personal Computer Data Collection Platform.

Some strategies to address the challenges of collecting observational data in a busy clinical environment.

PubMed

Jackson, Debra; McDonald, Glenda; Luck, Lauretta; Waine, Melissa; Wilkes, Lesley

2016-01-01

Studies drawing on observational methods can provide vital data to enhance healthcare. However, collecting observational data in clinical settings is replete with challenges, particularly where multiple data-collecting observers are used. Observers collecting data require shared understanding and training to ensure data quality, and particularly, to confirm accurate and consistent identification, discrimination and recording of data. The aim of this paper is to describe strategies for preparing and supporting multiple researchers tasked with collecting observational data in a busy, and often unpredictable, hospital environment. We hope our insights might assist future researchers undertaking research in similar settings.

75 FR 24505 - Modernization of OSHA's Injury and Illness Data Collection Process

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-05

... data collected by an improved and modernized OSHA recordkeeping system and made public under the Open.... OSHA-2010-0024] Modernization of OSHA's Injury and Illness Data Collection Process AGENCY: Occupational... modernization of OSHA's injury and illness data collection system. OSHA encourages stakeholders who cannot...

CTEPP STANDARD OPERATING PROCEDURE FOR SHIPPING AND STORING DATA COLLECTION FORMS (SOP-3.12)

EPA Science Inventory

This SOP describes the method for shipping and storing data collection forms. All data collection forms will be processed in the Battelle North Carolina (NC) office. The Ohio field staff will ship the completed data collection forms to the Battelle NC office.

75 FR 13134 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-18

...] Proposed Data Collections Submitted for Public Comment and Recommendations In compliance with the... on proposed data collection projects, the Centers for Disease Control and Prevention (CDC) will... to obtain a copy of the data collection plans and instruments, call 404-639-5960 and send comments to...

77 FR 59614 - Office of Citizen Services and Innovative Technologies; Information Collection; Data.gov Feedback...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-28

... of Citizen Services and Innovative Technologies; Information Collection; Data.gov Feedback Mechanisms... regarding Data.gov Feedback Mechanisms. Public comments are particularly invited on: Whether this collection... Collection 3090- 0284, Data.gov Feedback Mechanisms, by any of the following methods: Regulations.gov : http...

75 FR 8956 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-02-26

...] Proposed Data Collections Submitted for Public Comment and Recommendations In compliance with the... on proposed data collection projects, the Centers for Disease Control and Prevention (CDC) will... to obtain a copy of the data collection plans and instruments, call 404-639-5960 and send comments to...

76 FR 40917 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-12

...] Proposed Data Collections Submitted for Public Comment and Recommendations In compliance with the... on proposed data collection projects, the Centers for Disease Control and Prevention (CDC) will... to obtain a copy of the data collection plans and instruments, call 404-639-5960 or send comments to...

29 CFR 42.21 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 29 Labor 1 2013-07-01 2013-07-01 false Data collection. 42.21 Section 42.21 Labor Office of the Secretary of Labor COORDINATED ENFORCEMENT § 42.21 Data collection. (a) For each protective statute, ESA, OSHA, and the Office of the Solicitor (SOL) shall regularly collect statistical data reflecting their...

29 CFR 42.21 - Data collection.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 29 Labor 1 2012-07-01 2012-07-01 false Data collection. 42.21 Section 42.21 Labor Office of the Secretary of Labor COORDINATED ENFORCEMENT § 42.21 Data collection. (a) For each protective statute, ESA, OSHA, and the Office of the Solicitor (SOL) shall regularly collect statistical data reflecting their...

29 CFR 42.21 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 29 Labor 1 2014-07-01 2013-07-01 true Data collection. 42.21 Section 42.21 Labor Office of the Secretary of Labor COORDINATED ENFORCEMENT § 42.21 Data collection. (a) For each protective statute, ESA, OSHA, and the Office of the Solicitor (SOL) shall regularly collect statistical data reflecting their...

Controlling Data Collection to Support SAR Image Rotation

DOEpatents

Doerry, Armin W.; Cordaro, J. Thomas; Burns, Bryan L.

2008-10-14

A desired rotation of a synthetic aperture radar (SAR) image can be facilitated by adjusting a SAR data collection operation based on the desired rotation. The SAR data collected by the adjusted SAR data collection operation can be efficiently exploited to form therefrom a SAR image having the desired rotational orientation.

77 FR 66467 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-05

...] Proposed Data Collections Submitted for Public Comment and Recommendations In compliance with the... on proposed data collection projects, the Centers for Disease Control and Prevention (CDC) will... to obtain a copy of the data collection plans and instruments, call 404-639-7570 and send comments to...

29 CFR 42.21 - Data collection.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 29 Labor 1 2011-07-01 2011-07-01 false Data collection. 42.21 Section 42.21 Labor Office of the Secretary of Labor COORDINATED ENFORCEMENT § 42.21 Data collection. (a) For each protective statute, ESA, OSHA, and the Office of the Solicitor (SOL) shall regularly collect statistical data reflecting their...

29 CFR 42.21 - Data collection.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 29 Labor 1 2010-07-01 2010-07-01 true Data collection. 42.21 Section 42.21 Labor Office of the Secretary of Labor COORDINATED ENFORCEMENT § 42.21 Data collection. (a) For each protective statute, ESA, OSHA, and the Office of the Solicitor (SOL) shall regularly collect statistical data reflecting their...

48 CFR 216.401-70 - Data collection.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 48 Federal Acquisition Regulations System 3 2011-10-01 2011-10-01 false Data collection. 216.401...-70 Data collection. Section 814 of the National Defense Authorization Act for Fiscal Year 2007 (Pub. L. 109-364) requires DoD to collect relevant data on award and incentive fees paid to contractors...

Primary data collection in health technology assessment.

PubMed

McIsaac, Michelle L; Goeree, Ron; Brophy, James M

2007-01-01

This study discusses the value of primary data collection as part of health technology assessment (HTA). Primary data collection can help reduce uncertainty in HTA and better inform evidence-based decision making. However, methodological issues such as choosing appropriate study design and practical concerns such as the value of collecting additional information need to be addressed. The authors emphasize the conditions required for successful primary data collection in HTA: experienced researchers, sufficient funding, and coordination among stakeholders, government, and researchers. The authors conclude that, under specific conditions, primary data collection is a worthwhile endeavor in the HTA process.

The art and science of data curation: Lessons learned from constructing a virtual collection

NASA Astrophysics Data System (ADS)

Bugbee, Kaylin; Ramachandran, Rahul; Maskey, Manil; Gatlin, Patrick

2018-03-01

A digital, or virtual, collection is a value added service developed by libraries that curates information and resources around a topic, theme or organization. Adoption of the virtual collection concept as an Earth science data service improves the discoverability, accessibility and usability of data both within individual data centers but also across data centers and disciplines. In this paper, we introduce a methodology for systematically and rigorously curating Earth science data and information into a cohesive virtual collection. This methodology builds on the geocuration model of searching, selecting and synthesizing Earth science data, metadata and other information into a single and useful collection. We present our experiences curating a virtual collection for one of NASA's twelve Distributed Active Archive Centers (DAACs), the Global Hydrology Resource Center (GHRC), and describe lessons learned as a result of this curation effort. We also provide recommendations and best practices for data centers and data providers who wish to curate virtual collections for the Earth sciences.

Replacing missing data between airborne SAR coherent image pairs

DOE PAGES

Musgrove, Cameron H.; West, James C.

2017-07-31

For synthetic aperture radar systems, missing data samples can cause severe image distortion. When multiple, coherent data collections exist and the missing data samples do not overlap between collections, there exists the possibility of replacing data samples between collections. For airborne radar, the known and unknown motion of the aircraft prevents direct data sample replacement to repair image features. Finally, this paper presents a method to calculate the necessary phase corrections to enable data sample replacement using only the collected radar data.

Replacing missing data between airborne SAR coherent image pairs

DOE Office of Scientific and Technical Information (OSTI.GOV)

Musgrove, Cameron H.; West, James C.

For synthetic aperture radar systems, missing data samples can cause severe image distortion. When multiple, coherent data collections exist and the missing data samples do not overlap between collections, there exists the possibility of replacing data samples between collections. For airborne radar, the known and unknown motion of the aircraft prevents direct data sample replacement to repair image features. Finally, this paper presents a method to calculate the necessary phase corrections to enable data sample replacement using only the collected radar data.

Technical solution for data collection, data safety and data privacy legislation: experiences from the SWEET study.

PubMed

Forsander, Gun; Pellinat, Martin; Volk, Michael; Muller, Markus; Pinelli, Leonardo; Magnen, Agnes; Danne, Thomas; Aschemeier, Bärbel; de Beaufort, Carine

2012-09-01

One of the most important tasks of the SWEET study is benchmarking the data collected. Information on the occurrence of the disease of diabetes, the treatment, and their outcomes in children from the different member states of European Union (EU) is crucial. How the collection of data is realized is essential, concerning both the technical issues and the results. The creation of SWEET Centers of Reference (CoR), all over Europe will be facilitated by the access to safe data collection, where legal aspects and privacy are ascertained. To describe the rationale for- and the technical procedure in the data collection implementation, in the SWEET study. Selected data on all patients treated at SWEET CoR are collected. The SWEET project data collection and management system, consists of modular components for data collection, online data interchange, and a database for statistical analysis. The SWEET study and the organization of CoR aims for the goal of offering an updated, secure, and continuous evaluation of diabetes treatment regimens for all children with diabetes in Europe. To support this goal, an appropriate and secure data management system as described in this paper has been created. © 2012 John Wiley & Sons A/S.

Comparison of manual versus automated data collection method for an evidence-based nursing practice study.

PubMed

Byrne, M D; Jordan, T R; Welle, T

2013-01-01

The objective of this study was to investigate and improve the use of automated data collection procedures for nursing research and quality assurance. A descriptive, correlational study analyzed 44 orthopedic surgical patients who were part of an evidence-based practice (EBP) project examining post-operative oxygen therapy at a Midwestern hospital. The automation work attempted to replicate a manually-collected data set from the EBP project. Automation was successful in replicating data collection for study data elements that were available in the clinical data repository. The automation procedures identified 32 "false negative" patients who met the inclusion criteria described in the EBP project but were not selected during the manual data collection. Automating data collection for certain data elements, such as oxygen saturation, proved challenging because of workflow and practice variations and the reliance on disparate sources for data abstraction. Automation also revealed instances of human error including computational and transcription errors as well as incomplete selection of eligible patients. Automated data collection for analysis of nursing-specific phenomenon is potentially superior to manual data collection methods. Creation of automated reports and analysis may require initial up-front investment with collaboration between clinicians, researchers and information technology specialists who can manage the ambiguities and challenges of research and quality assurance work in healthcare.

Pan-Canadian assessment of pandemic immunization data collection: study methodology

PubMed Central

2010-01-01

Background The collection of individual-level pandemic (H1N1) 2009 influenza immunization data was considered important to facilitate optimal vaccine delivery and accurate assessment of vaccine coverage. These data are also critical for research aimed at evaluating the new vaccine's safety and effectiveness. Systems used to collect immunization data include manual approaches in which data are collected and retained on paper, electronic systems in which data are captured on computer at the point of vaccination and hybrid systems which are comprised of both computerized and manual data collection components. This study's objective was to compare the efficiencies and perceptions of data collection methods employed during Canada's pandemic (H1N1) 2009 influenza vaccination campaign. Methods/Design A pan-Canadian observational study was conducted in a convenience sample of public health clinics and healthcare institutions during the H1N1 vaccination campaign in the fall of 2009. The study design consisted of three stages: Stage 1 involved passive observation of the site's layout, processes and client flow; Stage 2 entailed timing site staff on 20 clients through five core immunization tasks: i) client registration, ii) medical history collection, iii) medical history review, iv) vaccine administration record keeping and v) preparation of proof of vaccine administration for the client; in Stage 3, site staff completed a questionnaire regarding perceived usability of the site's data collection approach. Before the national study began, a pilot study was conducted in three seasonal influenza vaccination sites in Ontario, to both test that the proposed methodology was logistically feasible and to determine inter-rater reliability in the measurements of the research staff. Comparative analyses will be conducted across the range of data collection methods with respect to time required to collect immunization data, number and type of individual-level data elements collected, and clinic staff perceptions of the usability of the method employed at their site, using analysis of variance (ANOVA). Discussion Various data collection methods were employed at immunization sites across Canada during the pandemic (H1N1) 2009 influenza vaccination campaign. Our comparison of methods can facilitate planning an efficient, coordinated approach for collecting immunization data in future influenza seasons. PMID:20624270

Pan-Canadian assessment of pandemic immunization data collection: study methodology.

PubMed

Pereira, Jennifer A; Quach, Susan; Heidebrecht, Christine; Foisy, Julie; Quan, Sherman; Finkelstein, Michael; Sikora, Christopher A; Bettinger, Julie A; Buckeridge, David L; McCarthy, Anne; Deeks, Shelley; Kwong, Jeffrey C

2010-06-08

The collection of individual-level pandemic (H1N1) 2009 influenza immunization data was considered important to facilitate optimal vaccine delivery and accurate assessment of vaccine coverage. These data are also critical for research aimed at evaluating the new vaccine's safety and effectiveness. Systems used to collect immunization data include manual approaches in which data are collected and retained on paper, electronic systems in which data are captured on computer at the point of vaccination and hybrid systems which are comprised of both computerized and manual data collection components. This study's objective was to compare the efficiencies and perceptions of data collection methods employed during Canada's pandemic (H1N1) 2009 influenza vaccination campaign. A pan-Canadian observational study was conducted in a convenience sample of public health clinics and healthcare institutions during the H1N1 vaccination campaign in the fall of 2009. The study design consisted of three stages: Stage 1 involved passive observation of the site's layout, processes and client flow; Stage 2 entailed timing site staff on 20 clients through five core immunization tasks: i) client registration, ii) medical history collection, iii) medical history review, iv) vaccine administration record keeping and v) preparation of proof of vaccine administration for the client; in Stage 3, site staff completed a questionnaire regarding perceived usability of the site's data collection approach. Before the national study began, a pilot study was conducted in three seasonal influenza vaccination sites in Ontario, to both test that the proposed methodology was logistically feasible and to determine inter-rater reliability in the measurements of the research staff. Comparative analyses will be conducted across the range of data collection methods with respect to time required to collect immunization data, number and type of individual-level data elements collected, and clinic staff perceptions of the usability of the method employed at their site, using analysis of variance (ANOVA). Various data collection methods were employed at immunization sites across Canada during the pandemic (H1N1) 2009 influenza vaccination campaign. Our comparison of methods can facilitate planning an efficient, coordinated approach for collecting immunization data in future influenza seasons.

A Novel Electronic Data Collection System for Large-Scale Surveys of Neglected Tropical Diseases

PubMed Central

King, Jonathan D.; Buolamwini, Joy; Cromwell, Elizabeth A.; Panfel, Andrew; Teferi, Tesfaye; Zerihun, Mulat; Melak, Berhanu; Watson, Jessica; Tadesse, Zerihun; Vienneau, Danielle; Ngondi, Jeremiah; Utzinger, Jürg; Odermatt, Peter; Emerson, Paul M.

2013-01-01

Background Large cross-sectional household surveys are common for measuring indicators of neglected tropical disease control programs. As an alternative to standard paper-based data collection, we utilized novel paperless technology to collect data electronically from over 12,000 households in Ethiopia. Methodology We conducted a needs assessment to design an Android-based electronic data collection and management system. We then evaluated the system by reporting results of a pilot trial and from comparisons of two, large-scale surveys; one with traditional paper questionnaires and the other with tablet computers, including accuracy, person-time days, and costs incurred. Principle Findings The electronic data collection system met core functions in household surveys and overcame constraints identified in the needs assessment. Pilot data recorders took 264 (standard deviation (SD) 152 sec) and 260 sec (SD 122 sec) per person registered to complete household surveys using paper and tablets, respectively (P = 0.77). Data recorders felt a lack of connection with the interviewee during the first days using electronic devices, but preferred to collect data electronically in future surveys. Electronic data collection saved time by giving results immediately, obviating the need for double data entry and cross-correcting. The proportion of identified data entry errors in disease classification did not differ between the two data collection methods. Geographic coordinates collected using the tablets were more accurate than coordinates transcribed on a paper form. Costs of the equipment required for electronic data collection was approximately the same cost incurred for data entry of questionnaires, whereas repeated use of the electronic equipment may increase cost savings. Conclusions/Significance Conducting a needs assessment and pilot testing allowed the design to specifically match the functionality required for surveys. Electronic data collection using an Android-based technology was suitable for a large-scale health survey, saved time, provided more accurate geo-coordinates, and was preferred by recorders over standard paper-based questionnaires. PMID:24066147

Real-time data collection of scour at bridges

USGS Publications Warehouse

Mueller, David S.; Landers, Mark N.

1994-01-01

The record flood on the Mississippi River during the summer of 1993 provided a rare opportunity to collect data on scour of the streambed at bridges and to test data collection equipment under extreme hydraulic conditions. Detailed bathymetric and hydraulic information were collected at two bridges crossing the Mississippi River during the rising limb, near the peak, and during the recession of the flood. Bathymetric data were collected using a digital echo sounder. Three-dimensional velocities were collected using Broadband Acoustic Doppler Current Profilers (BB-ADCP) operating at 300 kilohertz (kHz), 600 kHz, and 1,200 kHz. Positioning of the data collected was measured using a range-azimuth tracking system and two global positioning systems (GPS). Although differential GPS was able to provide accurate positions and tracking information during approach- and exit-reach data collection, it was unable to maintain lock on a sufficient number of satellites when the survey vessel was under the bridge or near the piers. The range-azimuth tracking system was used to collect position and tracking information for detailed data collection near the bridge piers. These detailed data indicated local scour ranging from 3 to 8 meters and will permit a field-based evaluation of the ability of various numerical models to compute the hydraulics, depth, geometry, and time-dependent development of local scour.

Feasibility and acceptability of alternate methods of postnatal data collection.

PubMed

McCormack, Lacey A; Friedrich, Christa; Fahrenwald, Nancy; Specker, Bonny

2014-05-01

This study was done in preparation for the launch of the National Children's Study (NCS) main study. The goal of this study was to examine the feasibility (completion rates and completeness of data), acceptability, staff time and cost-effectiveness of three methods of data collection for the postnatal 3- and 9-month questionnaires completed as part of NCS protocol. Eligible NCS participants who were scheduled to complete a postnatal questionnaire at three and nine months were randomly assigned to receive either: (a) telephone data collection (b) web-based data collection, or (c) self-administered (mailed) questionnaires. Event completion rates and satisfaction across the three data collection methods were compared and the influence of socio-demographic factors on completion rates and satisfaction rates was examined. Cost data were compared to data for completion and satisfaction for each of the delivery methods. Completion rates and satisfaction did not differ significantly by method, but completeness of data did, with odds of data completeness higher among web than phone (p < 0.001) or mail (p < 0.001). Costs were highest for the phone, followed by mail and web methods (p < 0.001). No significant differences in participant time (i.e. burden) across the three data collection methods were seen. Mail and phone data collection were the least complete of the three methods and were the most expensive. Mailed data collection was neither complete nor exceptionally economical. Web-based data collection was the least costly and provided the most complete data. Participants without web access could complete the questionnaire over the phone.

Privacy Impact Assessment for the Central Data Exchange

EPA Pesticide Factsheets

The Central Data Exchange collects personally identifiable information, including personal answers to security questions. Learn how this data will be collected in the system, how it will be used, access to the data, and the purpose of data collection.

Collection Analysis: Powerful Ways To Collect, Analyze, and Present Your Data.

ERIC Educational Resources Information Center

Hart, Amy

2003-01-01

Discussion of collection analysis in school libraries focuses on the kinds of data used and how to use library automation software to collect the data. Describes the use of Microsoft Excel and its chart-making capabilities to enhance the presentation of the analysis and suggests ways to use collection analysis output. (LRW)

76 FR 11444 - Agency Information Collection Activities: Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-02

... Natural Gas Data Collection Program Package. The surveys covered by this request include: Form EIA-176... burden for the surveys included in the Natural Gas Data Collection Program Package is shown below as an... help the EIA prepare data requests that maximize the utility of the information collected and assess...

Bicycle and pedestrian travel demand forecasting : summary of data collection activities

DOT National Transportation Integrated Search

1997-09-01

This report summarizes data collection activities performed at eight different sites in Texas urban areas. The data : were collected to help develop and test bicycle and pedestrian travel demand forecasting techniques. The : research team collected d...

76 FR 33323 - Agency Information Collection Activities: Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-08

... Federal child welfare data sets, a Federal substance abuse treatment data set, the North Carolina Family... Courts. The proposed data collection for the grantees, referred to as the Children Affected by... needed and provided to these and similar families. The data to be collected by the CAM-FTDC program is...

76 FR 55059 - Agency Information Collection Activities: Submission for OMB Review; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-06

... the Natural Gas Data Collection Program Package is to collect basic and detailed data to meet the EIA... Natural Gas Data Collection Program Package surveys are among those that are required to address the... Request. SUMMARY: The EIA has submitted the Energy Information Administration's Natural Gas Data...

40 CFR 60.2942 - What is the minimum amount of monitoring data I must collect with my continuous emission...

Code of Federal Regulations, 2010 CFR

2010-07-01

... monitoring data I must collect with my continuous emission monitoring systems, and is the data collection... with my continuous emission monitoring systems, and is the data collection requirement enforceable? (a) Where continuous emission monitoring systems are required, obtain 1-hour arithmetic averages. Make sure...

40 CFR 60.1335 - What is the minimum amount of monitoring data I must collect with my continuous parameter...

Code of Federal Regulations, 2011 CFR

2011-07-01

... monitoring data I must collect with my continuous parameter monitoring systems and is the data collection... parameter monitoring systems and is the data collection requirement enforceable? (a) Where continuous parameter monitoring systems are used, obtain 1-hour arithmetic averages for three parameters: (1) Load...

40 CFR 60.1335 - What is the minimum amount of monitoring data I must collect with my continuous parameter...

Code of Federal Regulations, 2010 CFR

2010-07-01

... monitoring data I must collect with my continuous parameter monitoring systems and is the data collection... parameter monitoring systems and is the data collection requirement enforceable? (a) Where continuous parameter monitoring systems are used, obtain 1-hour arithmetic averages for three parameters: (1) Load...

40 CFR 60.2942 - What is the minimum amount of monitoring data I must collect with my continuous emission...

Code of Federal Regulations, 2011 CFR

2011-07-01

... monitoring data I must collect with my continuous emission monitoring systems, and is the data collection... with my continuous emission monitoring systems, and is the data collection requirement enforceable? (a) Where continuous emission monitoring systems are required, obtain 1-hour arithmetic averages. Make sure...

Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy12

PubMed Central

Ahluwalia, Namanjeet; Dwyer, Johanna; Terry, Ana; Moshfegh, Alanna; Johnson, Clifford

2016-01-01

NHANES is the cornerstone for national nutrition monitoring to inform nutrition and health policy. Nutritional assessment in NHANES is described with a focus on dietary data collection, analysis, and uses in nutrition monitoring. NHANES has been collecting thorough data on diet, nutritional status, and chronic disease in cross-sectional surveys with nationally representative samples since the early 1970s. Continuous data collection began in 1999 with public data release in 2-y cycles on ∼10,000 participants. In 2002, the Continuing Survey of Food Intakes by Individuals and the NHANES dietary component were merged, forming a consolidated dietary data collection known as What We Eat in America; since then, 24-h recalls have been collected on 2 d using the USDA’s Automated Multiple-Pass Method. Detailed and targeted food-frequency questionnaires have been collected in some NHANES cycles. Dietary supplement use data have been collected (in detail since 2007) so that total nutrient intakes can be described for the population. The continuous NHANES can adapt its content to address emerging public health needs and reflect federal priorities. Changes in data collection methods are made after expert input and validation/crossover studies. NHANES dietary data are used to describe intake of foods, nutrients, food groups, and dietary patterns by the US population and large sociodemographic groups to plan and evaluate nutrition programs and policies. Usual dietary intake distributions can be estimated after adjusting for day-to-day variation. NHANES remains open and flexible to incorporate improvements while maintaining data quality and providing timely data to track the nation’s nutrition and health status. In summary, NHANES collects dietary data in the context of its broad, multipurpose goals; the strengths and limitations of these data are also discussed in this review. PMID:26773020

Privacy Impact Assessment for the Emergency Management Portal

EPA Pesticide Factsheets

The Emergency Management Portal System collects cleanup site data, and personnel readiness data. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Data Collection and Harmonization in HIV Research: The Seek, Test, Treat, and Retain Initiative at the National Institute on Drug Abuse.

PubMed

Chandler, Redonna K; Kahana, Shoshana Y; Fletcher, Bennett; Jones, Dionne; Finger, Matthew S; Aklin, Will M; Hamill, Kathleen; Webb, Candace

2015-12-01

Large-scale, multisite data sets offer the potential for exploring the public health benefits of biomedical interventions. Data harmonization is an emerging strategy to increase the comparability of research data collected across independent studies, enabling research questions to be addressed beyond the capacity of any individual study. The National Institute on Drug Abuse recently implemented this novel strategy to prospectively collect and harmonize data across 22 independent research studies developing and empirically testing interventions to effectively deliver an HIV continuum of care to diverse drug-abusing populations. We describe this data collection and harmonization effort, collectively known as the Seek, Test, Treat, and Retain Data Collection and Harmonization Initiative, which can serve as a model applicable to other research endeavors.

How hospitals view unit-level nurse turnover data collection: analysis of a hospital survey.

PubMed

Park, Shin Hye; Boyle, Diane K

2015-02-01

The objectives of this study were to examine the quality of unit-level nurse turnover data collection among the National Database of Nursing Quality Indicators hospitals and to identify the burdens of collecting such data. Tracking and managing nurse turnover at the unit level are critical for administrators who determine managerial strategies. Little is known about the quality of and burdens of unit-level turnover data collection. Surveys from 178 hospitals were analyzed descriptively. Most hospitals strongly agreed or agreed with the quality of unit-level turnover data collection. Hospitals identified the burdens of additional time and resources needed for unit-level turnover data collection and the difficulty of obtaining specific reasons for turnover. Collecting unit-level nurse turnover data can be important and useful for administrators to improve nurse retention, workforce stability, and quality of care. We suggest that the advantages of unit-level nurse turnover data and reports can overcome the identified burdens.

Review of Building Data Frameworks across Countries: Lessons for India

DOE Office of Scientific and Technical Information (OSTI.GOV)

Iyer, Maithili; Stratton, Hannah; Mathew, Sangeeta

The report outlines the initial explorations carried out by LBNL on available examples of energy data collection frameworks for buildings. Specifically, this monograph deals with European experience in the buildings sector, the US experience in the commercial buildings sector, and examples of data collection effort in Singapore and China to capture the Asian experience in the commercial sector. The review also provides a summary of the past efforts in India to collect and use commercial building energy data and its strengths and weaknesses. The overall aim of this activity is to help understand the use cases that drive the granularitymore » of data being collected and the range of methodologies adopted for the data collection effort. This review is a key input and reference for developing a data collection framework for India, and also clarifies general thinking on the institutional structure that may be amenable for data collection effort to match the needs and requirements of commercial building sector in India.« less

EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection.

PubMed

Aanensen, David M; Huntley, Derek M; Feil, Edward J; al-Own, Fada'a; Spratt, Brian G

2009-09-16

Epidemiologists and ecologists often collect data in the field and, on returning to their laboratory, enter their data into a database for further analysis. The recent introduction of mobile phones that utilise the open source Android operating system, and which include (among other features) both GPS and Google Maps, provide new opportunities for developing mobile phone applications, which in conjunction with web applications, allow two-way communication between field workers and their project databases. Here we describe a generic framework, consisting of mobile phone software, EpiCollect, and a web application located within www.spatialepidemiology.net. Data collected by multiple field workers can be submitted by phone, together with GPS data, to a common web database and can be displayed and analysed, along with previously collected data, using Google Maps (or Google Earth). Similarly, data from the web database can be requested and displayed on the mobile phone, again using Google Maps. Data filtering options allow the display of data submitted by the individual field workers or, for example, those data within certain values of a measured variable or a time period. Data collection frameworks utilising mobile phones with data submission to and from central databases are widely applicable and can give a field worker similar display and analysis tools on their mobile phone that they would have if viewing the data in their laboratory via the web. We demonstrate their utility for epidemiological data collection and display, and briefly discuss their application in ecological and community data collection. Furthermore, such frameworks offer great potential for recruiting 'citizen scientists' to contribute data easily to central databases through their mobile phone.

EIA's Role in Energy Data Collection, With Some Notes on Water Data

NASA Astrophysics Data System (ADS)

Leckey, T. J.

2017-12-01

The U.S. Energy Information Administration (EIA) is the statistical and analytical agency within the U.S. Department of Energy. EIA collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. EIA conducts a comprehensive data collection program that covers the full spectrum of energy sources, end uses, and energy flows. This presentation will describe EIA's authority to collect energy data, report on the range of energy areas currently collected by EIA, discuss some areas where energy information and water issues intersect, and describe the relatively few areas where EIA does collect a small amount of water data. The presentation will conclude with some thoughts about necessary components for effective collection of water data at the federal level.

An evaluation of the ERTS data collection system as a potential operational tool. [automatic hydrologic data collection and processing system for geological surveys

NASA Technical Reports Server (NTRS)

Paulson, R. W.

1974-01-01

The Earth Resources Technology Satellite Data Collection System has been shown to be, from the users vantage point, a reliable and simple system for collecting data from U.S. Geological Survey operational field instrumentation. It is technically feasible to expand the ERTS system into an operational polar-orbiting data collection system to gather data from the Geological Survey's Hydrologic Data Network. This could permit more efficient internal management of the Network, and could enable the Geological Survey to make data available to cooperating agencies in near-real time. The Geological Survey is conducting an analysis of the costs and benefits of satellite data-relay systems.

Water quality monitoring and data collection in the Mississippi sound

USGS Publications Warehouse

Runner, Michael S.; Creswell, R.

2002-01-01

The United States Geological Survey and the Mississippi Department of Marine Resources are collecting data on the quality of the water in the Mississippi Sound of the Gulf of Mexico, and streamflow data for its tributaries. The U.S. Geological Survey is collecting continuous water-level data, continuous and discrete water-temperature data, continuous and discrete specific-conductance data, as well as chloride and salinity samples at two locations in the Mississippi Sound and three Corps of Engineers tidal gages. Continuous-discharge data are also being collected at two additional stations on tributaries. The Mississippi Department of Marine Resources collects water samples at 169 locations in the Gulf of Mexico. Between 1800 and 2000 samples are collected annually which are analyzed for turbidity and fecal coliform bacteria. The continuous data are made available real-time through the internet and are being used in conjunction with streamflow data, weather data, and sampling data for the monitoring and management of the oyster reefs, the shrimp fishery and other marine species and their habitats.

14 CFR 217.5 - Data collected (data elements).

Code of Federal Regulations, 2014 CFR

2014-01-01

... 14 Aeronautics and Space 4 2014-01-01 2014-01-01 false Data collected (data elements). 217.5..., CHARTER, AND NONSCHEDULED SERVICES § 217.5 Data collected (data elements). (a) Within each of the service classifications prescribed in § 217.4, data shall be reported in applicable traffic elements. (b) The statistical...

14 CFR 217.5 - Data collected (data elements).

Code of Federal Regulations, 2013 CFR

2013-01-01

... 14 Aeronautics and Space 4 2013-01-01 2013-01-01 false Data collected (data elements). 217.5..., CHARTER, AND NONSCHEDULED SERVICES § 217.5 Data collected (data elements). (a) Within each of the service classifications prescribed in § 217.4, data shall be reported in applicable traffic elements. (b) The statistical...

14 CFR 217.5 - Data collected (data elements).

Code of Federal Regulations, 2012 CFR

2012-01-01

... 14 Aeronautics and Space 4 2012-01-01 2012-01-01 false Data collected (data elements). 217.5..., CHARTER, AND NONSCHEDULED SERVICES § 217.5 Data collected (data elements). (a) Within each of the service classifications prescribed in § 217.4, data shall be reported in applicable traffic elements. (b) The statistical...

14 CFR 217.5 - Data collected (data elements).

Code of Federal Regulations, 2010 CFR

2010-01-01

... 14 Aeronautics and Space 4 2010-01-01 2010-01-01 false Data collected (data elements). 217.5..., CHARTER, AND NONSCHEDULED SERVICES § 217.5 Data collected (data elements). (a) Within each of the service classifications prescribed in § 217.4, data shall be reported in applicable traffic elements. (b) The statistical...

14 CFR 217.5 - Data collected (data elements).

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 4 2011-01-01 2011-01-01 false Data collected (data elements). 217.5..., CHARTER, AND NONSCHEDULED SERVICES § 217.5 Data collected (data elements). (a) Within each of the service classifications prescribed in § 217.4, data shall be reported in applicable traffic elements. (b) The statistical...

Privacy Impact Assessment for the Compass Financials IT System

EPA Pesticide Factsheets

This system collects data on accounts receivable, accounts payable, human resources and travel data. This document describes how the data will be collected in the system, how it will be used, access to the data, and the purpose of data collection.

77 FR 7166 - Draft Guidance for Industry on Determining the Extent of Safety Data Collection Needed in Late...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-02-10

... clinical investigations in determining the amounts and types of safety data to collect in trials conducted... types of safety data that should be collected during late-stage premarket and postmarket clinical...] Draft Guidance for Industry on Determining the Extent of Safety Data Collection Needed in Late Stage...

40 CFR 63.5895 - How do I monitor and collect data to demonstrate continuous compliance?

Code of Federal Regulations, 2010 CFR

2010-07-01

... 40 Protection of Environment 12 2010-07-01 2010-07-01 true How do I monitor and collect data to... Composites Production Continuous Compliance Requirements § 63.5895 How do I monitor and collect data to demonstrate continuous compliance? (a) During production, you must collect and keep a record of data as...

40 CFR 63.5895 - How do I monitor and collect data to demonstrate continuous compliance?

Code of Federal Regulations, 2011 CFR

2011-07-01

... 40 Protection of Environment 12 2011-07-01 2009-07-01 true How do I monitor and collect data to... Composites Production Continuous Compliance Requirements § 63.5895 How do I monitor and collect data to demonstrate continuous compliance? (a) During production, you must collect and keep a record of data as...

Remote-Sensing Survey of the Bayou Labranche Wetlands Restoration Borrow Area, St. Charles Parish, Louisiana

DTIC Science & Technology

1993-03-01

55 17. Magnetic contour and survey data collected at Target 1 ............................ 56 18... Magnetic contour and survey data collected at Target 3 ............................ 58 19. Magnetic contour and survey data collected at Target 4...59 20. Magnetic contour and survey data collected at Target 5 ............................ 60 ’ iii LIST OF TABLES 1. South

15 CFR 911.4 - Use of the NOAA Data Collection Systems.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 15 Commerce and Foreign Trade 3 2013-01-01 2013-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

15 CFR 911.4 - Use of the NOAA Data Collection Systems.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 15 Commerce and Foreign Trade 3 2014-01-01 2014-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

15 CFR 911.4 - Use of the NOAA Data Collection Systems.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 15 Commerce and Foreign Trade 3 2011-01-01 2011-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

15 CFR 911.4 - Use of the NOAA Data Collection Systems.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 15 Commerce and Foreign Trade 3 2012-01-01 2012-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

Audio-magnetotelluric data collected in the area of Beatty, Nevada

DOE Office of Scientific and Technical Information (OSTI.GOV)

Williams, J.M.

1998-11-01

In the summer of 1997, electrical geophysical data was collected north of Beatty, Nevada. Audio-magnetotellurics (AMT) was the geophysical method used to collect 16 stations along two profiles. The purpose of this data collection was to determine the depth to the alluvial basement, based upon the needs of the geologists requesting the data.

A discrete global grid of photointerpretation

Treesearch

Joseph M McCollum; Jamie K. Cochran; Anita K. Rose

2008-01-01

The Forest Inventory and Analysis (FIA) Program of the Forest Service, U.S.Department of Agriculture, collects its data in three phases. The first phase is collection of photointerpretation data or dot counts, the second phase is field collection of FIA plot data, and the third phase is collection of Forest Health Monitoring data. This paper describes the development...

38 CFR Appendix A to Part 41 - Data Collection Form (Form SF-SAC)

Code of Federal Regulations, 2010 CFR

2010-07-01

... 38 Pensions, Bonuses, and Veterans' Relief 2 2010-07-01 2010-07-01 false Data Collection Form (Form SF-SAC) A Appendix A to Part 41 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS.... Appendix A to Part 41—Data Collection Form (Form SF-SAC) Note: Data Collection Form SF-SAC and instructions...

15 CFR 911.4 - Use of the NOAA Data Collection Systems.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Use of the NOAA Data Collection... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.4 Use of the NOAA Data Collection Systems. (a) Use of the NOAA DCS will only be authorized in accordance with the...

40 CFR 60.1260 - What is the minimum amount of monitoring data I must collect with my continuous emission...

Code of Federal Regulations, 2010 CFR

2010-07-01

... monitoring data I must collect with my continuous emission monitoring systems and is the data collection... monitoring systems and is the data collection requirement enforceable? (a) Where continuous emission monitoring systems are required, obtain 1-hour arithmetic averages. Make sure the averages for sulfur dioxide...

40 CFR 60.1260 - What is the minimum amount of monitoring data I must collect with my continuous emission...

Code of Federal Regulations, 2011 CFR

2011-07-01

... monitoring data I must collect with my continuous emission monitoring systems and is the data collection... monitoring systems and is the data collection requirement enforceable? (a) Where continuous emission monitoring systems are required, obtain 1-hour arithmetic averages. Make sure the averages for sulfur dioxide...

Research strategies that result in optimal data collection from the patient medical record

PubMed Central

Gregory, Katherine E.; Radovinsky, Lucy

2010-01-01

Data obtained from the patient medical record are often a component of clinical research led by nurse investigators. The rigor of the data collection methods correlates to the reliability of the data and, ultimately, the analytical outcome of the study. Research strategies for reliable data collection from the patient medical record include the development of a precise data collection tool, the use of a coding manual, and ongoing communication with research staff. PMID:20974093

Comparison of Manual Versus Automated Data Collection Method for an Evidence-Based Nursing Practice Study

PubMed Central

Byrne, M.D.; Jordan, T.R.; Welle, T.

2013-01-01

Objective The objective of this study was to investigate and improve the use of automated data collection procedures for nursing research and quality assurance. Methods A descriptive, correlational study analyzed 44 orthopedic surgical patients who were part of an evidence-based practice (EBP) project examining post-operative oxygen therapy at a Midwestern hospital. The automation work attempted to replicate a manually-collected data set from the EBP project. Results Automation was successful in replicating data collection for study data elements that were available in the clinical data repository. The automation procedures identified 32 “false negative” patients who met the inclusion criteria described in the EBP project but were not selected during the manual data collection. Automating data collection for certain data elements, such as oxygen saturation, proved challenging because of workflow and practice variations and the reliance on disparate sources for data abstraction. Automation also revealed instances of human error including computational and transcription errors as well as incomplete selection of eligible patients. Conclusion Automated data collection for analysis of nursing-specific phenomenon is potentially superior to manual data collection methods. Creation of automated reports and analysis may require initial up-front investment with collaboration between clinicians, researchers and information technology specialists who can manage the ambiguities and challenges of research and quality assurance work in healthcare. PMID:23650488

2014 Assessment of the Ballistic Missile Defense System (BMDS)

DTIC Science & Technology

2015-03-23

for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of...take several more years to collect the test data needed to adequately VV&A the BMDS M&S required to perform such assessments. As data are collected ...Accreditation is possible only if a sufficient quantity and quality of flight test data have been collected to support model verification and

Australia ground data collection 1981-82 crop year, volume 1

NASA Technical Reports Server (NTRS)

Quinones, C. R.

1982-01-01

Under AgRISTARS management, ground data were collected at 20 agricultural sites within Australia during the crop year 1981-82. The data collection activity is summarized. Specifically, the following information is provided: discussion of data procedures, methods, and products; crop production results; photographs of the Australia agriculture scene, map sheets of segments, LANDSAT full frames, and aerial photographs of data collection areas; and summarizations of district agronomist reports.

Strategies to Maximize Data Collection Response Rates in a Randomized Control Trial Focused on Children with Medical Complexity.

PubMed

Finkelstein, Stanley M; Celebrezze, Margaret; Cady, Rhonda; Lunos, Scott; Looman, Wendy S

2016-04-01

Obtaining complete and timely subject data is key to the success of clinical trials, particularly for studies requiring data collected from subjects at home or other remote sites. A multifaceted strategy for data collection in a randomized controlled trial (RCT) focused on care coordination for children with medical complexity is described. The influences of data collection mode, incentives, and study group membership on subject response patterns are analyzed. Data collection included monthly healthcare service utilization (HCSU) calendars and annual surveys focused on care coordination outcomes. One hundred sixty-three families were enrolled in the 30-month TeleFamilies RCT. Subjects were 2-15 years of age at enrollment. HCSU data were collected by parent/guardian self-report using mail, e-mail, telephone, or texting. Surveys were collected by mail. Incentives were provided for completed surveys after 8 months to improve collection returns. Outcome measures were the number of HCSU calendars and surveys returned, the return interval, data collection mode, and incentive impact. Return rates of 90% for HCSU calendars and 82% for annual surveys were achieved. Mean return intervals were 72 and 65 days for HCSU and surveys, respectively. Survey response increased from 55% to 95% after introduction of a gift card and added research staff. High return rates for HCSU calendars and health-related surveys are attainable but required a flexible and personnel-intensive approach to collection methods. Family preference for data collection approach should be obtained at enrollment, should be modified as needed, and requires flexible options, training, intensive staff/family interaction, and patience.

Feasibility of using routinely collected inpatient data to monitor quality and inform choice: a case study using the UK inflammatory bowel disease audit

PubMed Central

Roberts, Stephen E; Williams, John G; Cohen, David R; Akbari, Ashley; Groves, Sam; Button, Lori A

2011-01-01

Objective To assess the utility and cost of using routinely collected inpatient data for large-scale audit. Design Comparison of audit data items collected nationally in a designed audit of inflammatory bowel disease (UK IBD audit) with routinely collected inpatient data; surveys of audit sites to compare costs. Setting National Health Service hospitals across England, Wales and Northern Ireland that participated in the UK IBD audit. Patients Patients in the UK IBD audit. Interventions None. Main outcome measures Percentage agreement between designed audit data items collected for the UK IBD audit and routine inpatient data items; costs of conducting the designed UK IBD audit and the routine data audit. Results There were very high matching rates between the designed audit data and routine data for a small subset of basic important information collected in the UK IBD audit, including mortality; major surgery; dates of admission, surgery, discharge and death; principal diagnoses; and sociodemographic patient characteristics. There were lower matching rates for other items, including source of admission, primary reason for admission, most comorbidities, colonoscopy and sigmoidoscopy. Routine data did not cover most detailed information collected in the UK IBD audit. Using routine data was much less costly than collecting designed audit data. Conclusion Although valuable for large population-based studies, and less costly than designed data, routine inpatient data are not suitable for the evaluation of individual patient care within a designed audit. PMID:28839601

Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial

PubMed Central

Roelofs, Erik; Persoon, Lucas; Nijsten, Sebastiaan; Wiessler, Wolfgang; Dekker, André; Lambin, Philippe

2016-01-01

Introduction Collecting trial data in a medical environment is at present mostly performed manually and therefore time-consuming, prone to errors and often incomplete with the complex data considered. Faster and more accurate methods are needed to improve the data quality and to shorten data collection times where information is often scattered over multiple data sources. The purpose of this study is to investigate the possible benefit of modern data warehouse technology in the radiation oncology field. Material and methods In this study, a Computer Aided Theragnostics (CAT) data warehouse combined with automated tools for feature extraction was benchmarked against the regular manual data-collection processes. Two sets of clinical parameters were compiled for non-small cell lung cancer (NSCLC) and rectal cancer, using 27 patients per disease. Data collection times and inconsistencies were compared between the manual and the automated extraction method. Results The average time per case to collect the NSCLC data manually was 10.4 ± 2.1 min and 4.3 ± 1.1 min when using the automated method (p < 0.001). For rectal cancer, these times were 13.5 ± 4.1 and 6.8 ± 2.4 min, respectively (p < 0.001). In 3.2% of the data collected for NSCLC and 5.3% for rectal cancer, there was a discrepancy between the manual and automated method. Conclusions Aggregating multiple data sources in a data warehouse combined with tools for extraction of relevant parameters is beneficial for data collection times and offers the ability to improve data quality. The initial investments in digitizing the data are expected to be compensated due to the flexibility of the data analysis. Furthermore, successive investigations can easily select trial candidates and extract new parameters from the existing databases. PMID:23394741

Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial.

PubMed

Roelofs, Erik; Persoon, Lucas; Nijsten, Sebastiaan; Wiessler, Wolfgang; Dekker, André; Lambin, Philippe

2013-07-01

Collecting trial data in a medical environment is at present mostly performed manually and therefore time-consuming, prone to errors and often incomplete with the complex data considered. Faster and more accurate methods are needed to improve the data quality and to shorten data collection times where information is often scattered over multiple data sources. The purpose of this study is to investigate the possible benefit of modern data warehouse technology in the radiation oncology field. In this study, a Computer Aided Theragnostics (CAT) data warehouse combined with automated tools for feature extraction was benchmarked against the regular manual data-collection processes. Two sets of clinical parameters were compiled for non-small cell lung cancer (NSCLC) and rectal cancer, using 27 patients per disease. Data collection times and inconsistencies were compared between the manual and the automated extraction method. The average time per case to collect the NSCLC data manually was 10.4 ± 2.1 min and 4.3 ± 1.1 min when using the automated method (p<0.001). For rectal cancer, these times were 13.5 ± 4.1 and 6.8 ± 2.4 min, respectively (p<0.001). In 3.2% of the data collected for NSCLC and 5.3% for rectal cancer, there was a discrepancy between the manual and automated method. Aggregating multiple data sources in a data warehouse combined with tools for extraction of relevant parameters is beneficial for data collection times and offers the ability to improve data quality. The initial investments in digitizing the data are expected to be compensated due to the flexibility of the data analysis. Furthermore, successive investigations can easily select trial candidates and extract new parameters from the existing databases. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

The feasibility of using 'bring your own device' (BYOD) technology for electronic data capture in multicentre medical audit and research.

PubMed

Faulds, M C; Bauchmuller, K; Miller, D; Rosser, J H; Shuker, K; Wrench, I; Wilson, P; Mills, G H

2016-01-01

Large-scale audit and research projects demand robust, efficient systems for accurate data collection, handling and analysis. We utilised a multiplatform 'bring your own device' (BYOD) electronic data collection app to capture observational audit data on theatre efficiency across seven hospital Trusts in South Yorkshire in June-August 2013. None of the participating hospitals had a dedicated information governance policy for bring your own device. Data were collected by 17 investigators for 392 individual theatre lists, capturing 14,148 individual data points, 12, 852 (91%) of which were transmitted to a central database on the day of collection without any loss of data. BYOD technology enabled accurate collection of a large volume of secure data across multiple NHS organisations over a short period of time. Bring your own device technology provides a method for collecting real-time audit, research and quality improvement data within healthcare systems without compromising patient data protection. © 2015 The Association of Anaesthetists of Great Britain and Ireland.

A systematic review of the cost of data collection for performance monitoring in hospitals.

PubMed

Jones, Cheryl; Gannon, Brenda; Wakai, Abel; O'Sullivan, Ronan

2015-04-01

Key performance indicators (KPIs) are used to identify where organisational performance is meeting desired standards and where performance requires improvement. Valid and reliable KPIs depend on the availability of high-quality data, specifically the relevant minimum data set ((MDS) the core data identified as the minimum required to measure performance for a KPI) elements. However, the feasibility of collecting the relevant MDS elements is always a limitation of performance monitoring using KPIs. Preferably, data should be integrated into service delivery, and, where additional data are required that are not currently collected as part of routine service delivery, there should be an economic evaluation to determine the cost of data collection. The aim of this systematic review was to synthesise the evidence base concerning the costs of data collection in hospitals for performance monitoring using KPI, and to identify hospital data collection systems that have proven to be cost minimising. We searched MEDLINE (1946 to May week 4 2014), Embase (1974 to May week 2 2014), and CINAHL (1937 to date). The database searches were supplemented by searching for grey literature through the OpenGrey database. Data was extracted, tabulated, and summarised as part of a narrative synthesis. The searches yielded a total of 1,135 publications. After assessing each identified study against specific inclusion exclusion criteria only eight studies were deemed as relevant for this review. The studies attempt to evaluate different types of data collection interventions including the installation of information communication technology (ICT), improvements to current ICT systems, and how different analysis techniques may be used to monitor performance. The evaluation methods used to measure the costs and benefits of data collection interventions are inconsistent across the identified literature. Overall, the results weakly indicate that collection of hospital data and improvements in data recording can be cost-saving. Given the limitations of this systematic review, it is difficult to conclude whether improvements in data collection systems can save money, increase quality of care, and assist performance monitoring of hospitals. With that said, the results are positive and suggest that data collection improvements may lead to cost savings and aid quality of care. PROSPERO CRD42014007450 .

Development and Implementation of Production Area of Agricultural Product Data Collection System Based on Embedded System

NASA Astrophysics Data System (ADS)

Xi, Lei; Guo, Wei; Che, Yinchao; Zhang, Hao; Wang, Qiang; Ma, Xinming

To solve problems in detecting the origin of agricultural products, this paper brings about an embedded data-based terminal, applies middleware thinking, and provides reusable long-range two-way data exchange module between business equipment and data acquisition systems. The system is constructed by data collection node and data center nodes. Data collection nodes taking embedded data terminal NetBoxII as the core, consisting of data acquisition interface layer, controlling information layer and data exchange layer, completing the data reading of different front-end acquisition equipments, and packing the data TCP to realize the data exchange between data center nodes according to the physical link (GPRS / CDMA / Ethernet). Data center node consists of the data exchange layer, the data persistence layer, and the business interface layer, which make the data collecting durable, and provide standardized data for business systems based on mapping relationship of collected data and business data. Relying on public communications networks, application of the system could establish the road of flow of information between the scene of origin certification and management center, and could realize the real-time collection, storage and processing between data of origin certification scene and databases of certification organization, and could achieve needs of long-range detection of agricultural origin.

BRIEF REPORT: Beyond Clinical Experience: Features of Data Collection and Interpretation That Contribute to Diagnostic Accuracy

PubMed Central

Nendaz, Mathieu R; Gut, Anne M; Perrier, Arnaud; Louis-Simonet, Martine; Blondon-Choa, Katherine; Herrmann, François R; Junod, Alain F; Vu, Nu V

2006-01-01

BACKGROUND Clinical experience, features of data collection process, or both, affect diagnostic accuracy, but their respective role is unclear. OBJECTIVE, DESIGN Prospective, observational study, to determine the respective contribution of clinical experience and data collection features to diagnostic accuracy. METHODS Six Internists, 6 second year internal medicine residents, and 6 senior medical students worked up the same 7 cases with a standardized patient. Each encounter was audiotaped and immediately assessed by the subjects who indicated the reasons underlying their data collection. We analyzed the encounters according to diagnostic accuracy, information collected, organ systems explored, diagnoses evaluated, and final decisions made, and we determined predictors of diagnostic accuracy by logistic regression models. RESULTS Several features significantly predicted diagnostic accuracy after correction for clinical experience: early exploration of correct diagnosis (odds ratio [OR] 24.35) or of relevant diagnostic hypotheses (OR 2.22) to frame clinical data collection, larger number of diagnostic hypotheses evaluated (OR 1.08), and collection of relevant clinical data (OR 1.19). CONCLUSION Some features of data collection and interpretation are related to diagnostic accuracy beyond clinical experience and should be explicitly included in clinical training and modeled by clinical teachers. Thoroughness in data collection should not be considered a privileged way to diagnostic success. PMID:17105525

12 CFR 345.42 - Data collection, reporting, and disclosure.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Data collection, reporting, and disclosure. 345... OF GENERAL POLICY COMMUNITY REINVESTMENT Records, Reporting, and Disclosure Requirements § 345.42 Data collection, reporting, and disclosure. (a) Loan information required to be collected and...

76 FR 80377 - Notice of Submission of Proposed Information Collection to OMB Additional On-Site Data Collection...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-23

... with PHA staff and reviews of client files and administrative data collected by the PHA. The results of... reviews of client files and administrative data collected by the PHA. The results of the site visits will...

76 FR 62414 - Agency Information Collection Activities: Submission for OMB Review; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-07

... Collection: Collection of Encounter Data from Medicare Advantage Organizations; Use: The Centers for Medicare... delivered to an enrollee, from Medicare Advantage Organizations. Medicare Advantage organizations will obtain this data from providers. CMS would collect the data electronically from Medicare Advantage...

77 FR 14348 - Proposed Information Collection; Comment Request; Marine Recreational Information Program

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-09

... Collection; Comment Request; Marine Recreational Information Program AGENCY: National Oceanic and Atmospheric... for revision of a current information collection. Marine recreational anglers are surveyed to collect catch and effort data, fish biology data, and angler socioeconomic characteristics. These data are...

78 FR 6070 - Proposed Information Collection; Comment Request; Marine Recreational Information Program...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-29

... Collection; Comment Request; Marine Recreational Information Program Longitudinal Survey of Recreational... information collection. Marine recreational anglers are surveyed to collect catch and effort data, fish biology data, and angler socioeconomic characteristics. These data are required to carry out provisions of...

78 FR 22889 - Agency Information Collection Activities; Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-17

... the data collection plans and draft instruments, email [email protected] or call the HRSA Reports... technology to minimize the information collection burden. Information Collection Request Title: Data... utilize technology and systems for the purpose of collecting, validating and verifying information...

On the Structure of Earth Science Data Collections

NASA Astrophysics Data System (ADS)

Barkstrom, B. R.

2009-12-01

While there has been substantial work in the IT community regarding metadata and file identifier schemas, there appears to be relatively little work on the organization of the file collections that constitute the preponderance of Earth science data. One symptom of this difficulty appears in nomenclature describing collections: the terms `Data Product,' `Data Set,' and `Version' are overlaid with multiple meanings between communities. A particularly important aspect of this lack of standardization appears when the community attempts to developa schema for data file identifiers. There are four candidate families of identifiers: ● Randomly assigned identifiers, such as GUIDs or UUIDs, ● Segmented numerical identifiers, such as OIDs or the prefixes for DOIs, ● Extensible URL-based identifiers, such as URNs, PURL, ARK, and similar schemas, ● Text-based identifiers based on citations for papers and books, such as those suggested for the International Polar Year (IPY) citations. Unfortunately, these schema families appear to be devoid of content based on the actual structures of Earth science data collections. In this paper, we consider an organization based on an industrial production paradigm that appears to provide the preponderance of Earth science data from satellites and in situ observations. This paradigm produces a hierarchical collection structure, similar to one discussed in Barkstrom [2003: Lecture Notes in Computer Science, 2649, pp. 118-133]. In this organization, three key collection types are ● a Data Product, which is a collection of files that have similar key parameters and included data time interval, ● a Data Set, which is a collection of files within a Data Product that comes from a specified set of Data Sources, ● a Data Set Version, which is a collection of files within a Data Set for which the data producer has attempted to ensure error homogeneity. Within a Data Set Version, files appear as a time series of instances that may be identified by the starting time of the data in the file. For data intended for climate uses, it seems appropriate to state this time in terms of Astronomical Julian Date, which is a long-standing international standard that provides continuity between current observations and paleo-climatic observations. Because this collection structure is hierarchical, it could be used by either of the two hierarchical identifier schema families, although it is probably easier to use with the OID/DOI family. This hierarchical collection structure fits into the hierarchical structure of Archival Information Packages (AIPs) identified in the Open Archival Information Systems (OAIS) Reference Model. In that model, AIPs are subdivided into Archival Information Units (AIUs), which describe individual files, or Archival Information Collections (AICs). The latter can be hierarchically nested, leading to an OAIS RM-consistent collection structure that does not appear clearly in other metadata standards. This paper will also discuss the connection between these collection categories and other metadata, as well as the possible need for other organizational schemas to capture the full range of Earth science data collection structures.

Fracture Systems - Digital Field Data Capture

NASA Astrophysics Data System (ADS)

Haslam, Richard

2017-04-01

Fracture systems play a key role in subsurface resources and developments including groundwater and nuclear waste repositories. There is increasing recognition that there is a need to record and quantify fracture systems to better understand the potential risks and opportunities. With the advent of smart phones and digital field geology there have been numerous systems designed for field data collection. Digital field data collection allows for rapid data collection and interpretations. However, many of the current systems have principally been designed to cover the full range of field mapping and data needs, making them large and complex, plus many do not offer the tools necessary for the collection of fracture specific data. A new multiplatform data recording app has been developed for the collection of field data on faults and joint/fracture systems and a relational database designed for storage and retrieval. The app has been developed to collect fault data and joint/fracture data based on an open source platform. Data is captured in a form-based approach including validity checks to ensure data is collected systematically. In addition to typical structural data collection, the International Society of Rock Mechanics' (ISRM) "Suggested Methods for the Quantitative Description of Discontinuities in Rock Masses" is included allowing for industry standards to be followed and opening up the tools to industry as well as research. All data is uploaded automatically to a secure server and users can view their data and open access data as required. Users can decide if the data they produce should remain private or be open access. A series of automatic reports can be produced and/or the data downloaded. The database will hold a national archive and data retrieval will be made through a web interface.

Development of an interactive data base management system for capturing large volumes of data.

PubMed

Moritz, T E; Ellis, N K; VillaNueva, C B; Steeger, J E; Ludwig, S T; Deegan, N I; Shroyer, A L; Henderson, W G; Sethi, G K; Grover, F L

1995-10-01

Accurate collection and successful management of data are problems common to all scientific studies. For studies in which large quantities of data are collected by means of questionnaires and/or forms, data base management becomes quite laborious and time consuming. Data base management comprises data collection, data entry, data editing, and data base maintenance. In this article, the authors describe the development of an interactive data base management (IDM) system for the collection of more than 1,400 variables from a targeted population of 6,000 patients undergoing heart surgery requiring cardiopulmonary bypass. The goals of the IDM system are to increase the accuracy and efficiency with which this large amount of data is collected and processed, to reduce research nurse work load through automation of certain administrative and clerical activities, and to improve the process for implementing a uniform study protocol, standardized forms, and definitions across sites.

Automated data collection in single particle electron microscopy

PubMed Central

Tan, Yong Zi; Cheng, Anchi; Potter, Clinton S.; Carragher, Bridget

2016-01-01

Automated data collection is an integral part of modern workflows in single particle electron microscopy (EM) research. This review surveys the software packages available for automated single particle EM data collection. The degree of automation at each stage of data collection is evaluated, and the capabilities of the software packages are described. Finally, future trends in automation are discussed. PMID:26671944

2016 Emergent Data on Students in Australian Schools Receiving Adjustments for Disability. Nationally Consistent Collection of Data. School Students with Disability

ERIC Educational Resources Information Center

Education Council, 2016

2016-01-01

The Nationally Consistent Collection of Data on School Students with Disability (the collection) identified 685,911 students received an educational adjustment due to disability. Through this collection, teachers use their professional judgement based on evidence to capture information. This report looks at the emergent data on students in…

A Comparative Study on Electronic versus Traditional Data Collection in a Special Education Setting

ERIC Educational Resources Information Center

Ruf, Hernan Dennis

2012-01-01

The purpose of the current study was to determine the efficiency of an electronic data collection method compared to a traditional paper-based method in the educational field, in terms of the accuracy of data collected and the time required to do it. In addition, data were collected to assess users' preference and system usability. The study…

75 FR 20602 - Agency Information Collection Activities: Proposed Collection: Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-20

.../ 250 40 8,000 1 8,000 Preparation Data 100-Day Post-Transplant Data... 250 40 8,000 2.25 18,000 6-Month... opportunity for public comment on proposed data collection projects (section 3506(c)(2)(A) of Title 44, United... more information on the proposed project or to obtain a copy of the data collection plans and draft...

Selected hydrologic data for the central Virgin River basin area, Washington and Iron counties, Utah, 1915-97

USGS Publications Warehouse

Wilkowske, Christopher D.; Heilweil, Victor M.; Wilberg, Dale E.

1998-01-01

Hydrologic data were collected in Washington and Iron Counties, Utah, from 1995 to 1997 to better understand the hydrologic system. Data from earlier years also are presented. Data collected from wells include well-completion data, water-level measurements, and physical properties of the water. Data collected from springs and surface-water sites include discharge and physical properties of the water. Selected water samples collected from ground- and surface-water sites were analyzed for isotopes, chlorofluorocarbons, and dissolved gases.

Trends in the salience of data collected in a multi user virtual environment: An exploratory study

NASA Astrophysics Data System (ADS)

Tutwiler, M. Shane

In this study, by exploring patterns in the degree of physical salience of the data the students collected, I investigated the relationship between the level of students' tendency to frame explanations in terms of complex patterns and evidence of how they attend to and select data in support of their developing understandings of causal relationships. I accomplished this by analyzing longitudinal data collected as part of a larger study of 143 7th grade students (clustered within 36 teams, 5 teachers, and 2 schools in the same Northeastern school district) as they navigated and collected data in an ecosystems-based multi-user virtual environment curriculum known as the EcoMUVE Pond module (Metcalf, Kamarainen, Tutwiler, Grotzer, Dede, 2011) . Using individual growth modeling (Singer & Willett, 2003) I found no direct link between student pre-intervention tendency to offer explanations containing complex causal components and patterns of physical salience-driven data collection (average physical salience level, number of low physical salience data points collected, and proportion of low physical salience data points collected), though prior science content knowledge did affect the initial status and rate of change of outcomes in the average physical salience level and proportion of low physical salience data collected over time. The findings of this study suggest two issues for consideration about the use of MUVEs to study student data collection behaviors in complex spaces. Firstly, the structure of the curriculum in which the MUVE is embedded might have a direct effect on what types of data students choose to collect. This undercuts our ability to make inferences about student-driven decisions to collect specific types of data, and suggests that a more open-ended curricular model might be better suited to this type of inquiry. Secondly, differences between teachers' choices in how to facilitate the units likely contribute to the variance in student data collection behaviors between students with different teachers. This foreshadows external validity issues in studies that use behaviors of students within a single class to develop "detectors" of student latent traits (e.g., Baker, Corbett, Roll, Koedinger, 2008).

Single-crystal diffraction at the Extreme Conditions beamline P02.2: procedure for collecting and analyzing high-pressure single-crystal data.

PubMed

Rothkirch, André; Gatta, G Diego; Meyer, Mathias; Merkel, Sébastien; Merlini, Marco; Liermann, Hanns Peter

2013-09-01

Fast detectors employed at third-generation synchrotrons have reduced collection times significantly and require the optimization of commercial as well as customized software packages for data reduction and analysis. In this paper a procedure to collect, process and analyze single-crystal data sets collected at high pressure at the Extreme Conditions beamline (P02.2) at PETRA III, DESY, is presented. A new data image format called `Esperanto' is introduced that is supported by the commercial software package CrysAlis(Pro) (Agilent Technologies UK Ltd). The new format acts as a vehicle to transform the most common area-detector data formats via a translator software. Such a conversion tool has been developed and converts tiff data collected on a Perkin Elmer detector, as well as data collected on a MAR345/555, to be imported into the CrysAlis(Pro) software. In order to demonstrate the validity of the new approach, a complete structure refinement of boron-mullite (Al5BO9) collected at a pressure of 19.4 (2) GPa is presented. Details pertaining to the data collections and refinements of B-mullite are presented.

Alternative Fuels Data Center: Truck Stop Electrification Site Data

Science.gov Websites

Collection Methods Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center: Truck Stop Electrification Site Data Collection Methods to someone by E-mail Share Alternative Fuels Data Center: Truck Stop Electrification Site Data Collection Methods on Facebook Tweet about

National RCRA Hazardous Waste Biennial Report Data Files

EPA Pesticide Factsheets

The United States Environmental Protection Agency (EPA), in cooperation with the States, biennially collects information regarding the generation, management, and final disposition of hazardous wastes regulated under the Resource Conservation and Recovery Act of 1976 (RCRA), as amended. Collection, validation and verification of the Biennial Report (BR) data is the responsibility of RCRA authorized states and EPA regions. EPA does not modify the data reported by the states or regions. Any questions regarding the information reported for a RCRA handler should be directed to the state agency or region responsible for the BR data collection. BR data are collected every other year (odd-numbered years) and submitted in the following year. The BR data are used to support regulatory activities and provide basic statistics and trend of hazardous waste generation and management. BR data is available to the public through 3 mechanisms. 1. The RCRAInfo website includes data collected from 2001 to present-day (https://rcrainfo.epa.gov/rcrainfoweb/action/main-menu/view). Users of the RCRAInfo website can run queries and output reports for different data collection years at this site. All BR data collected from 2001 to present-day is stored in RCRAInfo, and is accessible through this website. 2. An FTP site allows users to access BR data files collected from 1999 - present day (ftp://ftp.epa.gov/rcrainfodata/). Zip files are available for download directly from this

Collecting the data but missing the point: validity of hand hygiene audit data.

PubMed

Jeanes, A; Coen, P G; Wilson, A P; Drey, N S; Gould, D J

2015-06-01

Monitoring of hand hygiene compliance (HHC) by observation has been used in healthcare for more than a decade to provide assurance of infection control practice. The validity of this information is rarely tested. To examine the process and validity of collecting and reporting HHC data based on direct observation of compliance. Five years of HHC data routinely collected in one large National Health Service hospital trust were examined. The data collection process was reviewed by survey and interview of the auditors. HHC data collected for other research purposes undertaken during this period were compared with the organizational data set. After an initial increase, the reported HHC remained unchanged close to its intended target throughout this period. Examination of the data collection process revealed changes, including local interpretations of the data collection system, which invalidated the results. A minority of auditors had received formal training in observation and feedback of results. Whereas observation of HHC is the current gold standard, unless data collection definitions and methods are unambiguous, published, carefully supervised, and regularly monitored, variations may occur which affect the validity of the data. If the purpose of HHC monitoring is to improve practice and minimize transmission of infection, then a focus on progressively improving performance rather than on achieving a target may offer greater opportunities to achieve this. Copyright © 2015 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

The collection and utilisation of patient ethnicity data in general practices and hospitals in the United Kingdom: a qualitative case study.

PubMed

Morrison, Zoe; Fernando, Bernard; Kalra, Dipak; Cresswell, Kathrin; Robertson, Ann; Sheikh, Aziz

2014-01-01

Although the collection of patient ethnicity data is a requirement of publicly funded healthcare providers in the UK, recording of ethnicity is sub-optimal for reasons that remain poorly understood. We sought to understand enablers and barriers to the collection and utilisation of ethnicity data within electronic health records, how these practices have developed and what benefit this information provides to different stakeholder groups. We undertook an in-depth, qualitative case study drawing on interviews and documents obtained from participants working as academics, managers and administrators within the UK. Information regarding patient ethnicity was collected and coded as administrative patient data, and/or in narrative form within clinical records. We identified disparities in the classification of ethnicity, approaches to coding and levels of completeness due to differing local, regional and national policies and processes. Most participants could not identify any clinical value of ethnicity information and many did not know if and when data were shared between services or used to support quality of care and research. Findings highlighted substantial variations in data classification, and practical challenges in data collection and usage that undermine the integrity of data collected. Future work needs to focus on explaining the uses of these data to frontline clinicians, identifying resources that can support busy professionals to collect standardised data and then, once collected, maximising the utility of these data.

Privacy Impact Assessment for the Childcare Tuition Assistance Program

EPA Pesticide Factsheets

This system collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

12 CFR 25.42 - Data collection, reporting, and disclosure.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Data collection, reporting, and disclosure. 25... REINVESTMENT ACT AND INTERSTATE DEPOSIT PRODUCTION REGULATIONS Regulations Records, Reporting, and Disclosure Requirements § 25.42 Data collection, reporting, and disclosure. (a) Loan information required to be collected...

12 CFR 228.42 - Data collection, reporting, and disclosure.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 3 2010-01-01 2010-01-01 false Data collection, reporting, and disclosure. 228... FEDERAL RESERVE SYSTEM COMMUNITY REINVESTMENT (REGULATION BB) Records, Reporting, and Disclosure Requirements § 228.42 Data collection, reporting, and disclosure. (a) Loan information required to be collected...

76 FR 28758 - Notice of Proposed Information Collection Requests

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-18

...: 1,028. Abstract: This data collection will focus on gathering relevant information on the Technical... collection requirements and provide the requested data in the desired format. The Director, Information... (SEAs) and Part C lead agencies. This data collection will include two activities. The first activity...

77 FR 28351 - Agency Information Collection Activities: Proposed Collection; Comment Request-Study of the Food...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-14

... State-administered FDPIR programs, participating households will be selected for data collection. Data... operations and experiences of FDPIR participants and eligible nonparticipants. Site visit data collection... providers; visits to FDPIR enrollment sites, warehouses, and distribution sites; and discussion groups with...

Long-Lived Digital Data Collections Enabling Research and Education in the 21st Century

DTIC Science & Technology

2005-09-01

Collections: Enabling Research and Education in the 21st Century40 LoNG-LiVED DiGiTAL DATA CoLLECTioNS AND LARGE FACiLiTiES Workshop participants drew...Long-Lived Digital Data Collections: Enabling Research and Education in the 21st Century NSB-05-40 Report Documentation Page Form...COVERED - 4. TITLE AND SUBTITLE Long-Lived Digital Data Collections Enabling Research and Education in the 21st Century 5a. CONTRACT NUMBER 5b

Customized-Language Voice Survey on Mobile Devices for Text and Image Data Collection Among Ethnic Groups in Thailand: A Proof-of-Concept Study.

PubMed

Jandee, Kasemsak; Lawpoolsri, Saranath; Taechaboonsermsak, Pimsurang; Khamsiriwatchara, Amnat; Wansatid, Peerawat; Kaewkungwal, Jaranit

2014-03-06

Public health surveys are often conducted using paper-based questionnaires. However, many problems are associated with this method, especially when collecting data among ethnic groups who speak a different language from the survey interviewer. The process can be time-consuming and there is the risk of missing important data due to incomplete surveys. This study was conducted as a proof-of-concept to develop a new electronic tool for data collection, and compare it with standard paper-based questionnaire surveys using the research setting of assessing Knowledge Attitude and Practice (KAP) toward the Expanded Program on Immunization (EPI) among 6 ethnic groups in Chiang Rai Province, Thailand. The two data collection methods were compared on data quality in terms of data completeness and time consumed in collecting the information. In addition, the initiative assessed the participants' satisfaction toward the use of a smartphone customized-language voice-based questionnaire in terms of perceived ease of use and perceived usefulness. Following a cross-over design, all study participants were interviewed using two data collection methods after a one-week washout period. Questions in the paper-based questionnaires in Thai language were translated to each ethnic language by the interviewer/translator when interviewing the study participant. The customized-language voice-based questionnaires were programmed to a smartphone tablet in six, selectable dialect languages and used by the trained interviewer when approaching participants. The study revealed positive data quality outcomes when using the smartphone, voice-based questionnaire survey compared with the paper-based questionnaire survey, both in terms of data completeness and time consumed in data collection process. Since the smartphone questionnaire survey was programmed to ask questions in sequence, no data was missing and there were no entry errors. Participants had positive attitudes toward answering the smartphone questionnaire; 69% (48/70) reported they understood the questions easily, 71% (50/70) found it convenient, and 66% (46/70) reported a reduced time in data collection. The smartphone data collection method was acceptable by both the interviewers and by the study participants of different ethnicities. To our knowledge, this is the first study showing that the application of specific features of mobile devices like smartphone tablets (including dropdown choices, capturing pictures, and voiced questions) can be successfully used for data collection. The mobile device can be effectively used for capturing photos of secondary data and collecting primary data with customized-language and voiced questionnaire survey. Using smartphone questionnaires can minimize or eliminate missing data and reduce the time consumed during the data collection process. Smartphone customized-language, voice-based questionnaires for data collection can be an alternative and better approach than standard translated paper-based questionnaires for public health surveys, especially when collecting data among ethnic and hard-to-reach groups residing in multilanguage-speaking settings.

Improved Vehicle Occupancy Data Collection Methods

DOT National Transportation Integrated Search

1997-04-14

This report evaluates current and emerging vehicle occupancy data collection : methodologies. Five primary methods for collecting vehicle occupancy data were : identified: the traditional roadside/windshield observation method, a recently : developed...

Streamflow and water-quality data for three major tributaries to Reelfoot Lake, west Tennessee, October 1987-March 1988

USGS Publications Warehouse

Yurewicz, M.C.; Carey, W.P.; Garrett, J.W.

1988-01-01

Streamflow and water quality data were collected for three major tributaries to Reelfoot Lake, in West Tennessee, for the period October 1987 through March 1988. The data are presented in graphs and tables. Mean daily discharge data were collected at one site each in the drainage basins of North Reelfoot Creek, South Reelfoot Creek, and Running Slough. Daily mean suspended-sediment concentration data were collected at a site in the North Reelfoot Creek basin. Water quality samples were collected during storm events at the same locations that daily mean streamflow data were collected. Water quality samples were analyzed for concentrations of nutrients and triazine herbicides. Water temperature and specific conductance were measured at the time that samples were collected. (USGS)

Isostatic gravity map of Yukon Flats, east-central Alaska

USGS Publications Warehouse

Morin, Robert L.

2002-01-01

The gravity data used to make this map were collected between 1959 and 1984. The data were collected by automobile, aircraft, and watercraft. Most of the data were collected as part of a U.S. Geological Survey (USGS) regional gravity data collection project. Some of the data were collected as part of other USGS local projects. One data set was collected by the NGS (National Geodetic Survey). This map ranges from 65° to 68° N latitude and 141° to 152° W longitude. The names of the 12 1:250,000-scale U.S. Geological Survey quadrangle maps that make up this map are labeled on the map. The western edge of the map is 1 degree of longitude east of the edge of the three most western quadrangles.

Research data collection methods: from paper to tablet computers.

PubMed

Wilcox, Adam B; Gallagher, Kathleen D; Boden-Albala, Bernadette; Bakken, Suzanne R

2012-07-01

Primary data collection is a critical activity in clinical research. Even with significant advances in technical capabilities, clear benefits of use, and even user preferences for using electronic systems for collecting primary data, paper-based data collection is still common in clinical research settings. However, with recent developments in both clinical research and tablet computer technology, the comparative advantages and disadvantages of data collection methods should be determined. To describe case studies using multiple methods of data collection, including next-generation tablets, and consider their various advantages and disadvantages. We reviewed 5 modern case studies using primary data collection, using methods ranging from paper to next-generation tablet computers. We performed semistructured telephone interviews with each project, which considered factors relevant to data collection. We address specific issues with workflow, implementation and security for these different methods, and identify differences in implementation that led to different technology considerations for each case study. There remain multiple methods for primary data collection, each with its own strengths and weaknesses. Two recent methods are electronic health record templates and next-generation tablet computers. Electronic health record templates can link data directly to medical records, but are notably difficult to use. Current tablet computers are substantially different from previous technologies with regard to user familiarity and software cost. The use of cloud-based storage for tablet computers, however, creates a specific challenge for clinical research that must be considered but can be overcome.

Data collection procedures for the Software Engineering Laboratory (SEL) database

NASA Technical Reports Server (NTRS)

Heller, Gerard; Valett, Jon; Wild, Mary

1992-01-01

This document is a guidebook to collecting software engineering data on software development and maintenance efforts, as practiced in the Software Engineering Laboratory (SEL). It supersedes the document entitled Data Collection Procedures for the Rehosted SEL Database, number SEL-87-008 in the SEL series, which was published in October 1987. It presents procedures to be followed on software development and maintenance projects in the Flight Dynamics Division (FDD) of Goddard Space Flight Center (GSFC) for collecting data in support of SEL software engineering research activities. These procedures include detailed instructions for the completion and submission of SEL data collection forms.

Influenza vaccination of health care personnel: Experiences with the first year of a national data collection effort.

PubMed

Kalayil, Elizabeth J; Dolan, Samantha B; Lindley, Megan C; Ahmed, Faruque

2015-11-01

The purpose of this project was to evaluate a standardized measure of health care personnel (HCP) influenza vaccination during the first year of implementation. The measure requires acute care hospitals to gather vaccination status data from employees, licensed independent practitioners (LIPs), and adult students/trainees and volunteers. The evaluation included a hospital sampling frame stratified by 4 United States Census Bureau Regions and hospital bed count. The hospitals were selected within strata using simple random sampling and the probability proportional to size method, without replacement. Semi-structured telephone interviews were conducted. Two qualitative data analysts independently coded each interview, and data were synthesized using a thematic analysis. This evaluation took place at hospitals reporting HCP influenza vaccination data as part of the Centers for Medicare & Medicaid Services Hospital Inpatient Quality Reporting (IQR) Program. Participants included the staff at 46 hospitals who were knowledgeable about data collection to fulfill IQR program requirements. Facilitators of data collection included having a small number of HCP, having a data collection system already in place, and providing HCP with advance notice of data collection. Major challenges included the absence of an established tracking process and monitoring HCP not regularly working in the facility, particularly LIPs. More than half of the facilities noted the time- and/or resource-intensive nature of data collection. Most facilities used data collected to meet other reporting requirements beyond the IQR Program. Hospitals implemented a range of data collection methods to comply with reporting requirements. Lessons learned from the first year of measure implementation can be used to enhance data collection practices across HCP groups for future influenza seasons. Copyright © 2015 Association for Professionals in Infection Control and Epidemiology, Inc. All rights reserved.

28 CFR 115.387 - Data collection.

Code of Federal Regulations, 2012 CFR

2012-07-01

... collect accurate, uniform data for every allegation of sexual abuse at facilities under its direct control...-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at a minimum, the data necessary to answer all questions from the most recent version of the Survey of Sexual...

28 CFR 115.387 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-07-01

... collect accurate, uniform data for every allegation of sexual abuse at facilities under its direct control...-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at a minimum, the data necessary to answer all questions from the most recent version of the Survey of Sexual...

28 CFR 115.387 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-07-01

... collect accurate, uniform data for every allegation of sexual abuse at facilities under its direct control...-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at a minimum, the data necessary to answer all questions from the most recent version of the Survey of Sexual...

76 FR 34995 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-15

... call volume data from the National Quitline Data Warehouse (NQDW, OMB No. 0920-0856, exp. 7/31/2012...] Proposed Data Collections Submitted for Public Comment and Recommendations In compliance with the... on proposed data collection projects, the Centers for Disease Control and Prevention (CDC) will...

Crowdsourcing Stream Stage in Data Scarce Regions: Applications of CrowdHydrology

NASA Astrophysics Data System (ADS)

Lowry, C.; Fienen, M. N.

2013-12-01

Crowdsourced data collection using citizen scientists and mobile phones is a promising way to collect supplemental information in data scarce or remote regions. The research presented here explore the possibilities and pitfalls of crowdsourcing hydrologic data via mobile phone text messaging through the example of CrowdHydrology, a distributed network of over 40 stream gages in four states. Signage at the CrowdHydrology gages ask citizen scientists to answer to a simple question via text message: 'What is the water height?'. While these data in no way replace more traditional measurements of stream stage, they do provide low cost supplemental measurements in data scarce regions. Results demonstrate the accuracy of crowdsourced data and provide insight for successful future crowdsourced data collection efforts. A less recognized benefit is that even in data rich areas, crowdsourced data collection is a cost-effective way to perform quality assurance on more sophisticated, and costly, data collection efforts.

Guidelines for the collection of long-term pavement performance data

DOT National Transportation Integrated Search

2006-03-01

A set of data collection guidelines has been provided for the collection of all data obtained for the Long-Term Pavement Performance (LTPP) program. These guidelines were provided to the Regional Support Contractors (RSC) to facilitate data collectio...

Privacy Impact Assessment for the Peer Reviewer Panelist Information System

EPA Pesticide Factsheets

This system collects contact and employment information. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

78 FR 11947 - 60-Day Notice of Proposed Information Collection: Directorate of Defense Trade Controls...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-02-20

...: Directorate of Defense Trade Controls Information Collection: Export Declaration of Defense Technical Data or... . SUPPLEMENTARY INFORMATION: Title of Information Collection: Export Declaration of Defense Technical Data or... collection: Actual export of defense technical data and defense services must be reported directly to the...

78 FR 22888 - Agency Information Collection Activities; Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-17

... respondents when there are missing data elements prior to submission. We acknowledge a change in the burden... with the requirement for opportunity for public comment on proposed data collection projects (Section... the data collection plans and draft instruments, email [email protected] or call the HRSA Reports...

75 FR 55579 - Proposed Agency Information Collection Activities; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-13

... balance sheet data on major categories of consumer and business credit receivables and on major short-term... items are collected to provide a full balance sheet. A supplemental section collects data on securitized... two columns to create a clearer distinction among broad balance sheet data items, which are collected...

76 FR 40749 - Agency Information Collection Activities: Records and Supporting Data: Importation, Receipt...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-11

...] Agency Information Collection Activities: Records and Supporting Data: Importation, Receipt, Storage, and... collection. (2) Title of the Form/Collection: Records and Supporting Data: Importation, Receipt, Storage, and... importation, manufacture, receipt, storage, and disposition of all explosive materials covered under 18 U.S.C...

75 FR 4107 - Comment Request for Information Collection for Job Corps Application Data

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-26

... Information Collection for Job Corps Application Data AGENCY: Office of Job Corps. ACTION: Notice. SUMMARY... requirements on respondents can be properly assessed. Currently, the Employment and Training Administration is soliciting comments concerning the collection of Job Corps application data collection forms (OMB Control NO...

78 FR 77494 - Agency Information Collection Activities; Proposed Collection; Comments Requested: ATF Adjunct...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-23

... collection. (2) Title of the Form/Collection: ATF Adjunct Instructor Data Form. (3) Agency form number, if...] Agency Information Collection Activities; Proposed Collection; Comments Requested: ATF Adjunct Instructor Data Form ACTION: 60-Day Notice. The Department of Justice (DOJ), Bureau of Alcohol, Tobacco, Firearms...

Race to the Top--Early Learning Challenge (RTT-ELC): Descriptive Study of Tiered Quality Rating and Improvement Systems (TQRIS). Master Data Collection Protocol

ERIC Educational Resources Information Center

Mathematica Policy Research, Inc., 2015

2015-01-01

This master data collection protocol describes the data that Mathematica collected for the Race to the Top-Early Learning Challenge Study of Tiered Quality Rating and Improvement Systems. This study was conducted for the Department of Education's Institute of Education Sciences. The data were collected from reviews of applications, documents, and…

Using internet-based approaches to collect qualitative data from vulnerable groups: reflections from the field.

PubMed

Neville, Stephen; Adams, Jeffery; Cook, Catherine

2016-12-01

Undertaking qualitative research with vulnerable populations is a complex and challenging process for researchers. Traditional and common modes of collecting qualitative data with these groups have been via face-to-face recorded interviews. This article reports on three internet-based data collection methods; email and synchronous online interviews, as well as online qualitative survey. The key characteristics of using email, sychronous online interviews and an online qualitative survey including the strengths and limitations of each are presented. Reflections and insights on the use of these internet-based data collection methods are provided to encourage researchers to embrace technology and move away from using traditional face-to-face interviews when researching with vulnerable populations. Using the internet to collect qualitative data offers additional ways to gather qualitative data over traditional data collection methods. The use of alternative interview methods may encourage participation of vulnerable participants.

Security Approaches in Using Tablet Computers for Primary Data Collection in Clinical Research

PubMed Central

Wilcox, Adam B.; Gallagher, Kathleen; Bakken, Suzanne

2013-01-01

Next-generation tablets (iPads and Android tablets) may potentially improve the collection and management of clinical research data. The widespread adoption of tablets, coupled with decreased software and hardware costs, has led to increased consideration of tablets for primary research data collection. When using tablets for the Washington Heights/Inwood Infrastructure for Comparative Effectiveness Research (WICER) project, we found that the devices give rise to inherent security issues associated with the potential use of cloud-based data storage approaches. This paper identifies and describes major security considerations for primary data collection with tablets; proposes a set of architectural strategies for implementing data collection forms with tablet computers; and discusses the security, cost, and workflow of each strategy. The paper briefly reviews the strategies with respect to their implementation for three primary data collection activities for the WICER project. PMID:25848559

Security approaches in using tablet computers for primary data collection in clinical research.

PubMed

Wilcox, Adam B; Gallagher, Kathleen; Bakken, Suzanne

2013-01-01

Next-generation tablets (iPads and Android tablets) may potentially improve the collection and management of clinical research data. The widespread adoption of tablets, coupled with decreased software and hardware costs, has led to increased consideration of tablets for primary research data collection. When using tablets for the Washington Heights/Inwood Infrastructure for Comparative Effectiveness Research (WICER) project, we found that the devices give rise to inherent security issues associated with the potential use of cloud-based data storage approaches. This paper identifies and describes major security considerations for primary data collection with tablets; proposes a set of architectural strategies for implementing data collection forms with tablet computers; and discusses the security, cost, and workflow of each strategy. The paper briefly reviews the strategies with respect to their implementation for three primary data collection activities for the WICER project.

DCS - A global satellite environmental data collection system.

NASA Technical Reports Server (NTRS)

Claire, E. J.

1973-01-01

This paper presents a summary of the results of a comparative study of satellite data collection systems which utilize remote ground data collection platforms transmitting data directly to a satellite and down to low-cost direct read-out local user terminals. The general objective of the study was to evaluate cost and technical feasibility of five medium orbiting and six geo-synchronous satellite data collection system (DCS) configurations with varying degrees of spacecraft and local user terminal (LUT) complexity. The goal of trading spacecraft and LUT complexity was to determine practical feasible systems with low-cost terminals, yet with a reasonable overall system cost the would permit the broad worldwide utilization of a highly beneficial data collection system. Results presented include data collection system analyses, satellite and local user terminal designs, and estimated costs. A summary of the types of local users and their requirements is also included.

An Analysis of Secondary Teachers' Reasoning with Participatory Sensing Data

ERIC Educational Resources Information Center

Gould, Robert; Bargagliotti, Anna; Johnson, Terri

2017-01-01

Participatory sensing is a data collection method in which communities of people collect and share data to investigate large-scale processes. These data have many features often associated with the big data paradigm: they are rich and multivariate, include non-numeric data, and are collected as determined by an algorithm rather than by traditional…

Privacy Impact Assessment for the EPA Acquisition System

EPA Pesticide Factsheets

The EPA Acquisition System collects data on the business process of acquiring goods in support of the Agency's mission. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies

Global Positioning System for Personal Travel Surveys: Lexington Area Travel Data Collection Test, Final Report

DOT National Transportation Integrated Search

1997-09-15

This report describes the development and field test of an automated data : collection device that includes Global Positioning System (GPS) technology for : the collection of personal travel data. This project configured an automatic : data collectio...

Privacy Impact Assessment for the Research Grant, Cooperative Agreement and Fellowship Application Files

EPA Pesticide Factsheets

This system collects research proposal information. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

Privacy Impact Assessment for the Claims Office Master Files

EPA Pesticide Factsheets

The Claims Office Master Files System collects information on companies in debt to the EPA. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

Travel time data collection handbook

DOT National Transportation Integrated Search

1998-03-01

This Travel Time Data Collection Handbook provides guidance to transportation : professionals and practitioners for the collection, reduction, and presentation : of travel time data. The handbook should be a useful reference for designing : travel ti...

Non-conventional technologies for data collection in Brazilian dissertations and theses.

PubMed

Salvador, Pétala Tuani Candido de Oliveira; Rodrigues, Cláudia Cristiane Filgueira Martins; de Lima, Kálya Yasmine Nunes; Alves, Kisna Yasmin Andrade; Santos, Viviane Euzébia Pereira

2015-01-01

to characterize non-conventional technologies used for data collection of dissertations and theses available in the Catalog of Theses and Dissertations (CEPEn) of the Brazilian Nursing Association (ABEn). this is a documentary research, whose data were collected in the catalogs of theses and dissertations available at the ABEn website, from Volumes XIX to XXI. The indicators collected were: academic level; educational institution; year; qualification of the author; setting; non-conventional technology used; type of technology; association with conventional techniques; methodological design; benefits and methodological limitations. from a total of 6346 studies, only 121 (1.91%) used non-conventional technologies for data collection, representing the fi nal sample of the study. it is concluded that Brazilian Nursing researches still need methodological innovations for data collection.

Web-based data collection: detailed methods of a questionnaire and data gathering tool

PubMed Central

Cooper, Charles J; Cooper, Sharon P; del Junco, Deborah J; Shipp, Eva M; Whitworth, Ryan; Cooper, Sara R

2006-01-01

There have been dramatic advances in the development of web-based data collection instruments. This paper outlines a systematic web-based approach to facilitate this process through locally developed code and to describe the results of using this process after two years of data collection. We provide a detailed example of a web-based method that we developed for a study in Starr County, Texas, assessing high school students' work and health status. This web-based application includes data instrument design, data entry and management, and data tables needed to store the results that attempt to maximize the advantages of this data collection method. The software also efficiently produces a coding manual, web-based statistical summary and crosstab reports, as well as input templates for use by statistical packages. Overall, web-based data entry using a dynamic approach proved to be a very efficient and effective data collection system. This data collection method expedited data processing and analysis and eliminated the need for cumbersome and expensive transfer and tracking of forms, data entry, and verification. The code has been made available for non-profit use only to the public health research community as a free download [1]. PMID:16390556

Adaptive Sampling-Based Information Collection for Wireless Body Area Networks.

PubMed

Xu, Xiaobin; Zhao, Fang; Wang, Wendong; Tian, Hui

2016-08-31

To collect important health information, WBAN applications typically sense data at a high frequency. However, limited by the quality of wireless link, the uploading of sensed data has an upper frequency. To reduce upload frequency, most of the existing WBAN data collection approaches collect data with a tolerable error. These approaches can guarantee precision of the collected data, but they are not able to ensure that the upload frequency is within the upper frequency. Some traditional sampling based approaches can control upload frequency directly, however, they usually have a high loss of information. Since the core task of WBAN applications is to collect health information, this paper aims to collect optimized information under the limitation of upload frequency. The importance of sensed data is defined according to information theory for the first time. Information-aware adaptive sampling is proposed to collect uniformly distributed data. Then we propose Adaptive Sampling-based Information Collection (ASIC) which consists of two algorithms. An adaptive sampling probability algorithm is proposed to compute sampling probabilities of different sensed values. A multiple uniform sampling algorithm provides uniform samplings for values in different intervals. Experiments based on a real dataset show that the proposed approach has higher performance in terms of data coverage and information quantity. The parameter analysis shows the optimized parameter settings and the discussion shows the underlying reason of high performance in the proposed approach.

Adaptive Sampling-Based Information Collection for Wireless Body Area Networks

PubMed Central

Xu, Xiaobin; Zhao, Fang; Wang, Wendong; Tian, Hui

2016-01-01

To collect important health information, WBAN applications typically sense data at a high frequency. However, limited by the quality of wireless link, the uploading of sensed data has an upper frequency. To reduce upload frequency, most of the existing WBAN data collection approaches collect data with a tolerable error. These approaches can guarantee precision of the collected data, but they are not able to ensure that the upload frequency is within the upper frequency. Some traditional sampling based approaches can control upload frequency directly, however, they usually have a high loss of information. Since the core task of WBAN applications is to collect health information, this paper aims to collect optimized information under the limitation of upload frequency. The importance of sensed data is defined according to information theory for the first time. Information-aware adaptive sampling is proposed to collect uniformly distributed data. Then we propose Adaptive Sampling-based Information Collection (ASIC) which consists of two algorithms. An adaptive sampling probability algorithm is proposed to compute sampling probabilities of different sensed values. A multiple uniform sampling algorithm provides uniform samplings for values in different intervals. Experiments based on a real dataset show that the proposed approach has higher performance in terms of data coverage and information quantity. The parameter analysis shows the optimized parameter settings and the discussion shows the underlying reason of high performance in the proposed approach. PMID:27589758

Implementing Sustainable Data Collection for a Cardiac Outcomes Registry in an Australian Public Hospital.

PubMed

Cox, Nicholas; Brennan, Angela; Dinh, Diem; Brien, Rita; Cowie, Kath; Stub, Dion; Reid, Christopher M; Lefkovits, Jeffrey

2018-04-01

Clinical outcome registries are an increasingly vital component of ensuring quality and safety of patient care. However, Australian hospitals rarely have additional resources or the capacity to fund the additional staff time to complete the task of data collection and entry. At the same time, registry funding models do not support staff for the collection of data at the site but are directed towards the central registry tasks of data reporting, managing and quality monitoring. The sustainability of a registry is contingent on building efficiencies into data management and collection. We describe the methods used in a large Victorian public hospital to develop a sustainable data collection system for the Victorian Cardiac Outcomes Registry (VCOR), using existing staff and resources common to many public hospitals. We describe the features of the registry and the hospital specific strategies that allowed us to do this as part of our routine business of providing good quality cardiac care. All clinical staff involved in patient care were given some data collection task with the entry of these data embedded into the staff's daily workflow. A senior cardiology registrar was empowered to allocate data entry tasks to colleagues when data were found to be incomplete. The task of 30-day follow-up proved the most onerous part of data collection. Cath-lab nursing staff were allocated this role. With hospital accreditation and funding models moving towards performance based quality indicators, collection of accurate and reliable information is crucial. Our experience demonstrates the successful implementation of clinical outcome registry data collection in a financially constrained public hospital environment utilising existing resources. Copyright © 2017. Published by Elsevier B.V.

Health-care data collecting, sharing, and using in Thailand, China mainland, South Korea, Taiwan, Japan, and Malaysia.

PubMed

Aljunid, Syed Mohamed; Srithamrongsawat, Samrit; Chen, Wen; Bae, Seung Jin; Pwu, Raoh-Fang; Ikeda, Shunya; Xu, Ling

2012-01-01

This article sought to describe the health-care data situation in six selected economies in the Asia-Pacific region. Authors from Thailand, China mainland, South Korea, Taiwan, Japan, and Malaysia present their analyses in three parts. The first part of the article describes the data-collection process and the sources of data. The second part of the article presents issues around policies of data sharing with the stakeholders. The third and final part of the article focuses on the extent of health-care data use for policy reform in these different economies. Even though these economies differ in their economic structure and population size, they share some similarities on issues related to health-care data. There are two main institutions that collect and manage the health-care data in these economies. In Thailand, China mainland, Taiwan, and Malaysia, the Ministry of Health is responsible through its various agencies for collecting and managing the health-care data. On the other hand, health insurance is the main institution that collects and stores health-care data in South Korea and Japan. In all economies, sharing of and access to data is an issue. The reasons for limited access to some data are privacy protection, fragmented health-care system, poor quality of routinely collected data, unclear policies and procedures to access the data, and control on the freedom on publication. The primary objective of collecting health-care data in these economies is to aid the policymakers and researchers in policy decision making as well as create an awareness on health-care issues for the general public. The usage of data in monitoring the performance of the heath system is still in the process of development. In conclusion, for the region under discussion, health-care data collection is under the responsibility of the Ministry of Health and health insurance agencies. Data are collected from health-care providers mainly from the public sector. Routinely collected data are supplemented by national surveys. Accessibility to the data is a major issue in most of the economies under discussion. Accurate health-care data are required mainly to support policy making and evidence-based decisions. Copyright © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

High-Frequency, Crosswell Radar Data Collected in a Laboratory Tank

USGS Publications Warehouse

Peters, Bas; Moulton, Craig W.; Ellefsen, Karl J.; Horton, Robert J.; McKenna, Jason R.

2010-01-01

Crosswell radar data were collected among three wells in a laboratory tank filled with dry sand. Embedded within the sand was a long plastic box, which was the target for the data collection. Two datasets were collected between each pair of wells, making a total of six datasets. The frequencies in the data ranged from 0.5 to 1.5 gigahertz, and the peak frequency was 0.9 gigahertz. The data are well suited for evaluating various processing algorithms, and the data linearly scale to typical field conditions.

Privacy Impact Assessment for the Training Registration and Administration Records for the Office of Criminal Enforcement, Forensics and Training and the National Enforcement Training Institute

EPA Pesticide Factsheets

This system collects student data for NETI's online university, including contact information and course data. Learn how this data is collected, used, accessed, the purpose of data collection, and record retention policies for the data.

Data quality in citizen science urban tree inventories

Treesearch

Lara A. Roman; Bryant C. Scharenbroch; Johan P.A. Ostberg; Lee S. Mueller; Jason G. Henning; Andrew K. Koeser; Jessica R. Sanders; Daniel R. Betz; Rebecca C. Jordan

2017-01-01

Citizen science has been gaining popularity in ecological research and resource management in general and in urban forestry specifically. As municipalities and nonprofits engage volunteers in tree data collection, it is critical to understand data quality. We investigated observation error by comparing street tree data collected by experts to data collected by less...

77 FR 61411 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-09

... three-year clearance request for the National Hospital Care Survey includes data collection from... Bill (UB-04) administrative claims data as well as facility level data. This activity continues in 2013... sector, foundations, and a variety of users in the print media. Data collected through NHCS are essential...

Usage Data for Electronic Resources: A Comparison between Locally Collected and Vendor-Provided Statistics.

ERIC Educational Resources Information Center

Duy, Joanna; Vaughan, Liwen

2003-01-01

Vendor-provided electronic resource usage statistics are not currently standardized across vendors. This study investigates the feasibility of using locally collected data to check the reliability of vendor-provided data. Vendor-provided data were compared with local data collected from North Carolina State University (NCSU) Libraries' Web…

75 FR 65357 - Request for Public Comment: 30-Day Proposed Information Collection: Office of Urban Indian Health...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-22

... Collection: Title: Office of Urban Indian Health Programs (OUIHP) Uniform Data System (UDS). Type of... Respondents: Title V urban Indian health programs. The table below provides: Types of data collection... Proposed Information Collection: Office of Urban Indian Health Programs; Uniform Data System AGENCY: Indian...

78 FR 40434 - Proposed Information Collection; Comment Request; Survey of Fish Processors and Disruptions...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-07-05

... Science Center's Social Sciences Branch seeks to collect data on distribution networks and business... also seeks to collect data on business disruptions due to Hurricane Sandy for those firms. The data collected will improve research and analysis on the economic impacts of potential fishery management actions...

78 FR 61324 - Agency Information Collection Activities: Proposed Collection; Comment Request-Special Nutrition...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-10-03

... Programs. The study is designed to collect data from a nationally representative sample of public School... the on-site data collection that was included in Year 2. The study will provide general descriptive... study will help FNS obtain: [ssquf] General descriptive data on the CN programs characteristics to help...

75 FR 39535 - Agency Information Collection Activities: Proposed Collection: Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-07-09

... opportunity for public comment on proposed data collection projects (section 3506(c)(2)(A) of Title 44, United... more information on the proposed project or to obtain a copy of the data collection plans and draft... forms of information technology. Proposed Project: Bureau of Primary Health Care (BPHC) Uniform Data...

77 FR 24206 - Agency Information Collection Request. 30-Day Public Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-23

... performance of the agency's functions; (2) the accuracy of the estimated burden; (3) ways to enhance the... key research questions, ASPE will draw on 5 primary data collections including (1) Collecting administrative cost data from ELE and non-ELE states, (2) collecting enrollment data from ELE and non-ELE states...

77 FR 23281 - Agency Information Collection Activities; Submission for OMB Review; Comment Request; O*Net Data...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-18

... design, human resources functions and workforce investment efforts. The data collection methodology... collection request (ICR) titled, ``O*Net Data Collection Program,'' to the Office of Management and Budget... Regulatory Affairs, Attn: OMB Desk Officer for DOL-ETA, Office of Management and Budget, Room 10235...

Hydrologic and water-quality data, Honey Creek State Natural Area, Comal County, Texas, August 2001-September 2003

USGS Publications Warehouse

Slattery, Richard N.; Furlow, Allen L.; Ockerman, Darwin J.

2006-01-01

The U.S. Geological Survey collected rainfall, streamflow, evapotranspiration, and rainfall and stormflow water-quality data from seven sites in two adjacent watersheds in the Honey Creek State Natural Area, Comal County, Texas, during August 2001–September 2003, in cooperation with the U.S. Department of Agriculture, Natural Resources Conservation Service, and the San Antonio Water System. Data collected during this period represent baseline hydrologic and water-quality conditions before proposed removal of ashe juniper (Juniperus ashei) from one of the two watersheds. Juniper removal is intended as a best-management practice to increase water quantity (aquifer recharge and streamflow) and to protect water quality. Continuous (5-minute interval) rainfall data are collected at four sites; continuous (5-minute interval) streamflow data are collected at three sites. Fifteen-minute averages of meteorological and solar-energy-related data recorded at two sites are used to compute moving 30-minute evapotranspiration values on the basis of the energy-balance Bowen ratio method. Periodic rainfall water-quality data are collected at one site and stormflow water-quality data at three sites. Daily rainfall, streamflow, and evapotranspiration totals are presented in tables; detailed data are listed in an appendix. Results of analyses of the periodic rainfall and stormflow water-quality samples collected during runoff events are summarized in the appendix; not all data types were collected at all sites nor were all data types collected during the entire 26-month period.

Privacy Impact Assessment for the Libby Asbestos Exposure Assessment Records

EPA Pesticide Factsheets

This system collects health screening results for individuals in Libby, Montana. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

Privacy Impact Assessment for the Application for Tips and Complaints

EPA Pesticide Factsheets

The Application for Tips and Complaints System collects information on potential violators. Learn how this data is collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data

Utilizing automated data collection vehicle measurements in determining the fore slopes of shoulders.

DOT National Transportation Integrated Search

2010-11-01

"The Wyoming DOT has an interest in collecting automated data on pavement shoulders. Such data would include shoulder width, : type, as well as slope. Pathway Services Inc. has been collecting Pavement Management Systems (PMS) data on roadways in Wyo...

Privacy Impact Assessment for the National Service Center for Environmental Publications and National Environmental Publications Internet Site

EPA Pesticide Factsheets

This system collects contact information. Learn how this data is collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

Effects of temporal variability in ground data collection on classification accuracy

USGS Publications Warehouse

Hoch, G.A.; Cully, J.F.

1999-01-01

This research tested whether the timing of ground data collection can significantly impact the accuracy of land cover classification. Ft. Riley Military Reservation, Kansas, USA was used to test this hypothesis. The U.S. Army's Land Condition Trend Analysis (LCTA) data annually collected at military bases was used to ground truth disturbance patterns. Ground data collected over an entire growing season and data collected one year after the imagery had a kappa statistic of 0.33. When using ground data from only within two weeks of image acquisition the kappa statistic improved to 0.55. Potential sources of this discrepancy are identified. These data demonstrate that there can be significant amounts of land cover change within a narrow time window on military reservations. To accurately conduct land cover classification at military reservations, ground data need to be collected in as narrow a window of time as possible and be closely synchronized with the date of the satellite imagery.

Development of a hospital-based patient-reported outcome framework for lung cancer patients: a study protocol.

PubMed

Moloczij, Natasha; Gough, Karla; Solomon, Benjamin; Ball, David; Mileshkin, Linda; Duffy, Mary; Krishnasamy, Mei

2018-01-11

Patient-reported outcome (PRO) data is central to the delivery of quality health care. Establishing sustainable, reliable and cost-efficient methods for routine collection and integration of PRO data into health information systems is challenging. This protocol paper describes the design and structure of a study to develop and pilot test a PRO framework to systematically and longitudinally collect PRO data from a cohort of lung cancer patients at a comprehensive cancer centre in Australia. Best-practice guidelines for developing registries aimed at collecting PROs informed the development of this PRO framework. Framework components included: achieving consensus on determining the purpose of the framework, the PRO measures to be included, the data collection time points and collection methods (electronic and paper), establishing processes to safeguard the quality of the data collected and to link the PRO framework to an existing hospital-based lung cancer clinical registry. Lung cancer patients will be invited to give feedback on the PRO measures (PROMs) chosen and the data collection time points and methods. Implementation of the framework will be piloted for 12 months. Then a mixed-methods approach used to explore patient and multidisciplinary perspectives on the feasibility of implementing the framework and linking it to the lung cancer clinical registry, its clinical utility, perceptions of data collection burden, and preliminary assessment of resource costs to integrate, implement and sustain the PRO framework. The PRO data set will include: a quality of life questionnaire (EORTC-QLQ-C30) and the EORTC lung cancer specific module (QLQC-LC-13). These will be collected pre-treatment (baseline), 2, 6 and 12 months post-baseline. Also, four social isolation questions (PROMIS) will be collected at baseline. Identifying and deciding on the overall purpose, clinical utility of data and which PROs to collect from patients requires careful consideration. Our study will explore how PRO data collection processes that link to a clinical data set can be developed and integrated; how PRO systems that are easy for patients to complete and professionals to use in practice can be achieved, and will provide indicative costs of developing and integrating a longitudinal PRO framework into routine hospital data collection systems. This study is not a clinical trial and is therefore not registered in any trial registry. However, it has received human research ethics approval (LNR/16/PMCC/45).

A Systematic Approach for Assessing Workforce Readiness

DTIC Science & Technology

2014-08-01

goals: (1) to collect data from designated in- formation technology equipment and (2) to analyze the collected data. The two goals are typically...office, home, or information technology (IT) department. The purpose of data collection is to gather images of disks, file servers, etc., from a site...naissance to identify which technologies are deployed at a site and determine which data need to be collected from the organization’s systems and

Groundwater data for selected wells within the Eastern San Joaquin Groundwater Subbasin, California, 2003-8

USGS Publications Warehouse

Clark, Dennis A.; Izbicki, John A.; Metzger, Loren F.; Everett, Rhett; Smith, Gregory A.; O'Leary, David R.; Teague, Nicholas F.; Burgess, Matthew K.

2012-01-01

Data were collected by the U.S. Geological Survey from 2003 through 2008 in the Eastern San Joaquin Groundwater Subbasin, 80 miles east of San Francisco, California, as part of a study of the increasing chloride concentrations in groundwater processes. Data collected include geologic, geophysical, chemical, and hydrologic data collected during and after the installation of five multiple-well monitoring sites, from three existing multiple-well sites, and from 79 selected public-supply, irrigation, and domestic wells. Each multiple-well monitoring site installed as part of this study contained three to five 2-inch diameter polyvinyl chloride (PVC)-cased wells ranging in depth from 68 to 880 feet below land surface. Continuous water-level data were collected from the 19 wells installed at these 5 sites and from 10 existing monitoring wells at 3 additional multiple-well sites in the study area. Thirty-one electromagnetic logs were collected seasonally from the deepest PVC-cased monitoring well at seven multiple-well sites. About 200 water samples were collected from 79 wells in the study area. Coupled well-bore flow data and depth-dependent water-quality data were collected from 12 production wells under pumped conditions, and well-bore flow data were collected from 10 additional wells under unpumped conditions.

CREATING AN IPHONE APPLICATION FOR COLLECTING CONTINUOUS ABC DATA

PubMed Central

Whiting, Seth W; Dixon, Mark R

2012-01-01

This paper provides an overview and task analysis for creating a continuous ABC data-collection application using Xcode on a Mac computer. Behavior analysts can program an ABC data collection system, complete with a customized list of target clients, antecedents, behaviors, and consequences to be recorded, and have the data automatically sent to an e-mail account after observations have concluded. Further suggestions are provided to customize the ABC data- collection system for individual preferences and clinical needs. PMID:23060682

Creating an iPhone application for collecting continuous ABC data.

PubMed

Whiting, Seth W; Dixon, Mark R

2012-01-01

This paper provides an overview and task analysis for creating a continuous ABC data-collection application using Xcode on a Mac computer. Behavior analysts can program an ABC data collection system, complete with a customized list of target clients, antecedents, behaviors, and consequences to be recorded, and have the data automatically sent to an e-mail account after observations have concluded. Further suggestions are provided to customize the ABC data- collection system for individual preferences and clinical needs.

Evaluation of an ERTS-1 data collection platform installed in the Alpine Tundra, Colorado. [for meteorological measurements

NASA Technical Reports Server (NTRS)

Barry, R. G.; Clark, J. M.

1975-01-01

The communication of data in real-time to users from ground stations in remote areas is a major objective of recent space technology. The data collection system considered uses small battery-operated ground-based transmitters called data collection platforms (DCP). The feasibility of collecting environmental data in extreme cold and windy environments using the ERTS DCP, has been investigated. A summary of the results of an evaluation of the system used is presented.

Growing the Field: Current Approaches to Data Collection at Farmers' Markets.

PubMed

Karpyn, Allison; Kim, Sonia A; DaCosta, Rosa V; Gasinu, Sika; Law, Yi-Ming

There is limited published research about the dietary impacts of farmers' markets. We sought to understand whether market managers collect data about markets and to examine the instruments and strategies used. Of the 359 market managers contacted across the United States, representing 543 markets, 185 managers participated in a telephone survey. A subset supplied copies of data collection tools for further analysis. Ninety-three percent of market managers collect data such as customer surveys, vendor applications, customer counts, or demographics. The potential utility of the data collected by mangers and suggestions for study of the dietary impacts of farmers markets are discussed.

Influence of volunteer and project characteristics on data quality of biological surveys.

PubMed

Lewandowski, Eva; Specht, Hannah

2015-06-01

Volunteer involvement in biological surveys is becoming common in conservation and ecology, prompting questions on the quality of data collected in such surveys. In a systematic review of the peer-reviewed literature on the quality of data collected by volunteers, we examined the characteristics of volunteers (e.g., age, prior knowledge) and projects (e.g., systematic vs. opportunistic monitoring schemes) that affect data quality with regards to standardization of sampling, accuracy and precision of data collection, spatial and temporal representation of data, and sample size. Most studies (70%, n = 71) focused on the act of data collection. The majority of assessments of volunteer characteristics (58%, n = 93) examined the effect of prior knowledge and experience on quality of the data collected, often by comparing volunteers with experts or professionals, who were usually assumed to collect higher quality data. However, when both groups' data were compared with the same accuracy standard, professional data were more accurate in only 4 of 7 cases. The few studies that measured precision of volunteer and professional data did not conclusively show that professional data were less variable than volunteer data. To improve data quality, studies recommended changes to survey protocols, volunteer training, statistical analyses, and project structure (e.g., volunteer recruitment and retention). © 2015, Society for Conservation Biology.

Hand held data collection and monitoring system for nuclear facilities

DOEpatents

Brayton, D.D.; Scharold, P.G.; Thornton, M.W.; Marquez, D.L.

1999-01-26

Apparatus and method is disclosed for a data collection and monitoring system that utilizes a pen based hand held computer unit which has contained therein interaction software that allows the user to review maintenance procedures, collect data, compare data with historical trends and safety limits, and input new information at various collection sites. The system has a means to allow automatic transfer of the collected data to a main computer data base for further review, reporting, and distribution purposes and uploading updated collection and maintenance procedures. The hand held computer has a running to-do list so sample collection and other general tasks, such as housekeeping are automatically scheduled for timely completion. A done list helps users to keep track of all completed tasks. The built-in check list assures that work process will meet the applicable processes and procedures. Users can hand write comments or drawings with an electronic pen that allows the users to directly interface information on the screen. 15 figs.

Hand held data collection and monitoring system for nuclear facilities

DOEpatents

Brayton, Darryl D.; Scharold, Paul G.; Thornton, Michael W.; Marquez, Diana L.

1999-01-01

Apparatus and method is disclosed for a data collection and monitoring system that utilizes a pen based hand held computer unit which has contained therein interaction software that allows the user to review maintenance procedures, collect data, compare data with historical trends and safety limits, and input new information at various collection sites. The system has a means to allow automatic transfer of the collected data to a main computer data base for further review, reporting, and distribution purposes and uploading updated collection and maintenance procedures. The hand held computer has a running to-do list so sample collection and other general tasks, such as housekeeping are automatically scheduled for timely completion. A done list helps users to keep track of all completed tasks. The built-in check list assures that work process will meet the applicable processes and procedures. Users can hand write comments or drawings with an electronic pen that allows the users to directly interface information on the screen.

Assessing the Army’s Software Patch Management Process

DTIC Science & Technology

2016-03-04

25 Data Collection .................................................................................................................... 26 iv...29 Collected Data ...University (DAU). Since the inception of the APG SSCF in 2009, the SRP implementation has emphasized the use of survey design and data collection. In January

76 FR 67457 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2011-11-01

... clearance request seeks approval to pre- test: (1) Data collection from hospital ambulatory departments... will test the data collection procedures involved in integrating the NHAMCS into the NHCS. NHAMCS has...

Bluetooth data collection system for planning and arterial management.

DOT National Transportation Integrated Search

2014-08-01

This report presents the results of a research and development project of an implementable portable wireless traffic data collection system. Utilizing Bluetooth wireless technology as a platform, portable battery powered data collection units housed ...

Virtual Collections: An Earth Science Data Curation Service

NASA Astrophysics Data System (ADS)

Bugbee, K.; Ramachandran, R.; Maskey, M.; Gatlin, P. N.

2016-12-01

The role of Earth science data centers has traditionally been to maintain central archives that serve openly available Earth observation data. However, in order to ensure data are as useful as possible to a diverse user community, Earth science data centers must move beyond simply serving as an archive to offering innovative data services to user communities. A virtual collection, the end product of a curation activity that searches, selects, and synthesizes diffuse data and information resources around a specific topic or event, is a data curation service that improves the discoverability, accessibility and usability of Earth science data and also supports the needs of unanticipated users. Virtual collections minimize the amount of time and effort needed to begin research by maximizing certainty of reward and by providing a trustworthy source of data for unanticipated users. This presentation will define a virtual collection in the context of an Earth science data center and will highlight a virtual collection case study created at the Global Hydrology Resource Center data center.

Virtual Collections: An Earth Science Data Curation Service

NASA Technical Reports Server (NTRS)

Bugbee, Kaylin; Ramachandran, Rahul; Maskey, Manil; Gatlin, Patrick

2016-01-01

The role of Earth science data centers has traditionally been to maintain central archives that serve openly available Earth observation data. However, in order to ensure data are as useful as possible to a diverse user community, Earth science data centers must move beyond simply serving as an archive to offering innovative data services to user communities. A virtual collection, the end product of a curation activity that searches, selects, and synthesizes diffuse data and information resources around a specific topic or event, is a data curation service that improves the discoverability, accessibility, and usability of Earth science data and also supports the needs of unanticipated users. Virtual collections minimize the amount of the time and effort needed to begin research by maximizing certainty of reward and by providing a trustworthy source of data for unanticipated users. This presentation will define a virtual collection in the context of an Earth science data center and will highlight a virtual collection case study created at the Global Hydrology Resource Center data center.

Comparison of automated and manual vital sign collection at hospital wards.

PubMed

Wood, Jeffrey; Finkelstein, Joseph

2013-01-01

Using a cross-over study design, vital signs were collected from 60 patients by 6 nurses. Each nurse was randomly assigned for manual vital sign collection in 5 patients and for automated data collection in other 5 patients. The mean time taken for vital signs information to be available in EMR was significantly (p <0.004) lower after automated data collection (158.7±67.0) than after the manual collection (4079.8±7091.8 s). The nursing satisfaction score of collecting vital signs was significantly lower (p<0.007) for the manual way (10.3±3.9) than for the automated way (16.5±3.4). We found that 30% of vital sign records were transmitted to EMR with at least one error after manual data collection whereas there wasno transmission error with automated data collection. Allparticipating nurses stated that the automated vital sign collection can improve their efficiency and save their time for direct patient care.

Big data prediction of durations for online collective actions based on peak's timing

NASA Astrophysics Data System (ADS)

Nie, Shizhao; Wang, Zheng; Pujia, Wangmo; Nie, Yuan; Lu, Peng

2018-02-01

Peak Model states that each collective action has a life circle, which contains four periods of "prepare", "outbreak", "peak", and "vanish"; and the peak determines the max energy and the whole process. The peak model's re-simulation indicates that there seems to be a stable ratio between the peak's timing (TP) and the total span (T) or duration of collective actions, which needs further validations through empirical data of collective actions. Therefore, the daily big data of online collective actions is applied to validate the model; and the key is to check the ratio between peak's timing and the total span. The big data is obtained from online data recording & mining of websites. It is verified by the empirical big data that there is a stable ratio between TP and T; furthermore, it seems to be normally distributed. This rule holds for both the general cases and the sub-types of collective actions. Given the distribution of the ratio, estimated probability density function can be obtained, and therefore the span can be predicted via the peak's timing. Under the scenario of big data, the instant span (how long the collective action lasts or when it ends) will be monitored and predicted in real-time. With denser data (Big Data), the estimation of the ratio's distribution gets more robust, and the prediction of collective actions' spans or durations will be more accurate.

Research on data collection key technology of smart electric energy meters

NASA Astrophysics Data System (ADS)

Chen, Xiangqun; Huang, Rui; Shen, Liman; Chen, Hao; Xiong, Dezhi; Xiao, Xiangqi; Mouhailiu; Renheng, Xu

2018-02-01

In recent years, smart electric energy meters are demand at 70 million to 90 million with the strong smart grid construction every year in China. However, there are some issues in smart electric energy meters data collection such as the interference of environment, low collection efficiency and inability to work when the power is off. In order to solve these issues above, it uses the RFID communication technology to collect the numbers and electric energy information of smart electric energy meters on the basis of the existing smart electric energy meters, and the related data collection communication experiments were made. The experimental result shows that the electric information and other data batch collection of RFID smart electric energy meters are realized in power and power off. It improves the efficiency and the overall success rate is 99.2% within 2 meters. It provides a new method for smart electric energy meters data collection.

Development of Software Tools for ADA Compliance Data Collection, Management, and Inquiry

DOT National Transportation Integrated Search

2014-07-01

In this NUTC research project, the UNR research team developed an iOS application (named NDOT ADA Data) to efficiently and intuitively collect ADA inventory data with iPhones or iPads. This tool was developed to facilitate NDOT ADA data collect...

78 FR 23764 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-22

... population of the United States. The National Death Index (NDI) is a national data base containing...] Proposed Data Collections Submitted for Public Comment and Recommendations In compliance with the... on proposed data collection projects, the Centers for Disease Control and [[Page 23765

Privacy Impact Assessment for the Financial Audit Version of the Office of Inspector General AutoAudit

EPA Pesticide Factsheets

This system collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

Design and implementation of pedestrian and bicycle-specific data collection methods in Oregon.

DOT National Transportation Integrated Search

2014-06-01

Although there is a growing need to access accurate and reliable pedestrian and bicycle data, there is no : statewide system to collect data or plan future data collection efforts in the state of Oregon. To address : these issues this research conduc...

Privacy Impact Assessment for the Request and Appeal Files for the Freedom of Information Act

EPA Pesticide Factsheets

This system collects contact information from Freedom of Information Act (FOIA) requestors. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

76 FR 81967 - Agency Information Collection Activities: Proposed Collection; Comments Requested: Records and...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-29

... Data: Daily Summaries, Records of Production, Storage, and Disposition, and Supporting Data by Licensed... Form/Collection: Records and Supporting Data: Daily Summaries, Records of Production, Storage and Disposition and Supporting Data by Explosives Manufacturers. (3) Agency form number, if any, and the...

34 CFR 303.540 - Data collection.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 34 Education 2 2011-07-01 2010-07-01 true Data collection. 303.540 Section 303.540 Education... DISABILITIES State Administration Reporting Requirements § 303.540 Data collection. (a) Each system must include the procedures that the State uses to compile data on the statewide system. The procedures must...

34 CFR 303.540 - Data collection.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 34 Education 2 2010-07-01 2010-07-01 false Data collection. 303.540 Section 303.540 Education... DISABILITIES State Administration Reporting Requirements § 303.540 Data collection. (a) Each system must include the procedures that the State uses to compile data on the statewide system. The procedures must...

28 CFR 115.87 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Sexual Violence conducted by the Department of Justice. (d) The agency shall maintain, review, and... shall collect accurate, uniform data for every allegation of sexual abuse at facilities under its direct... incident-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at...

28 CFR 115.287 - Data collection.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Sexual Violence conducted by the Department of Justice. (d) The agency shall maintain, review, and... agency shall collect accurate, uniform data for every allegation of sexual abuse at facilities under its... incident-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at...

28 CFR 115.287 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Sexual Violence conducted by the Department of Justice. (d) The agency shall maintain, review, and... agency shall collect accurate, uniform data for every allegation of sexual abuse at facilities under its... incident-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at...

28 CFR 115.87 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Sexual Violence conducted by the Department of Justice. (d) The agency shall maintain, review, and... shall collect accurate, uniform data for every allegation of sexual abuse at facilities under its direct... incident-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at...

28 CFR 115.287 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Sexual Violence conducted by the Department of Justice. (d) The agency shall maintain, review, and... agency shall collect accurate, uniform data for every allegation of sexual abuse at facilities under its... incident-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at...

28 CFR 115.87 - Data collection.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Sexual Violence conducted by the Department of Justice. (d) The agency shall maintain, review, and... shall collect accurate, uniform data for every allegation of sexual abuse at facilities under its direct... incident-based sexual abuse data at least annually. (c) The incident-based data collected shall include, at...

Sensing Solutions for Collecting Spatio-Temporal Data for Wildlife Monitoring Applications: A Review

PubMed Central

Baratchi, Mitra; Meratnia, Nirvana; Havinga, Paul J. M.; Skidmore, Andrew K.; Toxopeus, Bert A. G.

2013-01-01

Movement ecology is a field which places movement as a basis for understanding animal behavior. To realize this concept, ecologists rely on data collection technologies providing spatio-temporal data in order to analyze movement. Recently, wireless sensor networks have offered new opportunities for data collection from remote places through multi-hop communication and collaborative capability of the nodes. Several technologies can be used in such networks for sensing purposes and for collecting spatio-temporal data from animals. In this paper, we investigate and review technological solutions which can be used for collecting data for wildlife monitoring. Our aim is to provide an overview of different sensing technologies used for wildlife monitoring and to review their capabilities in terms of data they provide for modeling movement behavior of animals. PMID:23666132

High-resolution swath interferometric data collected within Muskeget Channel, Massachusetts

USGS Publications Warehouse

Pendleton, Elizabeth A.; Denny, Jane F.; Danforth, William W.; Baldwin, Wayne E.; Irwin, Barry J.

2014-01-01

Swath interferometric bathymetery data were collected within and around Muskeget Channel and along select nearshore areas south and east of Martha's Vineyard, Massachusetts. Data were collected aboard the U.S. Geological Survey research vessel Rafael in October and November 2010 in a collaborative effort between the U.S. Geological Survey and the Woods Hole Oceanographic Institution. This report describes the data-collection methods and -processing steps and releases the data in geospatial format. These data were collected to support an assessment of the effect on sediment transport that a tidal instream energy conversion facility would have within Muskeget Channel. Baseline bathymetry data were obtained for the Muskeget Channel area, and surveys in select areas were repeated after one month to monitor sediment transport and bedform migration.

Private practice outcomes: validated outcomes data collection in private practice.

PubMed

Goldstein, Jack

2010-10-01

Improved patient care is related to validated outcome measures requiring the collection of three distinct data types: (1) demographics; (2) patient outcome measures; and (3) physician treatment. Previous impediments to widespread data collection have been: cost, office disruption, personnel requirements, physician motivation, data integration, and security. There are currently few means to collect data to be used for collaborative analysis. We therefore developed an inexpensive, patient-centric mechanism to reduce redundant data entry, limiting cost and personnel requirements. Using an intuitive touch-screen kiosk interface program, all data elements have been captured in a private practice setting since 2000. Developed for small to medium sized offices, this is scalable to larger organizations. Questionnaire navigation is patient driven, with demographics shared with EMR and billing systems. Integration of billing and EMR with outcomes minimizes cost and personnel time. Data are deidentified locally and may be centrally shared. Since data are entered by the patients, minimal personnel costs are incurred. Physician disincentives are minimized with cost reduction, time savings and ease of use. To date, we have collected high level data on most total joint patients, with excellent patient compliance. By addressing impediments to broad application, we may enable widespread local data collection in all practice settings. Data may be shared centrally, allowing comparative effectiveness research to become a reality. Future success will require broad physician participation, uniformity of data collected, and designation of a central site for receipt of data and its collaborative comparative analysis.

A strategy for recovering continuous behavioral telemetry data from Pacific walruses

USGS Publications Warehouse

Fischbach, Anthony S.; Jay, Chadwick V.

2016-01-01

Tracking animal behavior and movement with telemetry sensors can offer substantial insights required for conservation. Yet, the value of data collected by animal-borne telemetry systems is limited by bandwidth constraints. To understand the response of Pacific walruses (Odobenus rosmarus divergens) to rapid changes in sea ice availability, we required continuous geospatial chronologies of foraging behavior. Satellite telemetry offered the only practical means to systematically collect such data; however, data transmission constraints of satellite data-collection systems limited the data volume that could be acquired. Although algorithms exist for reducing sensor data volumes for efficient transmission, none could meet our requirements. Consequently, we developed an algorithm for classifying hourly foraging behavior status aboard a tag with limited processing power. We found a 98% correspondence of our algorithm's classification with a test classification based on time–depth data recovered and characterized through multivariate analysis in a separate study. We then applied our algorithm within a telemetry system that relied on remotely deployed satellite tags. Data collected by these tags from Pacific walruses across their range during 2007–2015 demonstrated the consistency of foraging behavior collected by this strategy with data collected by data logging tags; and demonstrated the ability to collect geospatial behavioral chronologies with minimal missing data where recovery of data logging tags is precluded. Our strategy for developing a telemetry system may be applicable to any study requiring intelligent algorithms to continuously monitor behavior, and then compress those data into meaningful information that can be efficiently transmitted.

A Custom Data Logger for Real-Time Remote Field Data Collections

DTIC Science & Technology

2017-03-01

ERDC/CHL CHETN-VI-46 March 2017 Approved for public release; distribution is unlimited. A Custom Data Logger for Real- Time Remote Field Data...Field Research Facility (FRF), for remote real- time data collections. This custom data logger is compact and energy efficient but has the same...INTRODUCTION: Real- time data collections offer many advantages: 1. Instrument failures can be rapidly detected and repaired, thereby minimizing

The Effect of New Technologies on Sign Language Research

ERIC Educational Resources Information Center

Lucas, Ceil; Mirus, Gene; Palmer, Jeffrey Levi; Roessler, Nicholas James; Frost, Adam

2013-01-01

This paper first reviews the fairly established ways of collecting sign language data. It then discusses the new technologies available and their impact on sign language research, both in terms of how data is collected and what new kinds of data are emerging as a result of technology. New data collection methods and new kinds of data are…

Data collection in cancer clinical trials: Too much of a good thing?

PubMed

O'Leary, Erin; Seow, Hsien; Julian, Jim; Levine, Mark; Pond, Gregory R

2013-08-01

Substantial staff time and costs are incurred in the collection of data for cancer clinical trials. Anecdotal experience suggests that much of these data are never used in the analysis or reporting of a trial. To quantify data items collected in cancer clinical trials and calculate what percentage is used in subsequent published manuscripts. Cancer clinical trials completed by the Ontario Clinical Oncology Group (OCOG) between 2003 and 2012 and the corresponding primary outcome publication were identified. The number of data items collected on each trial's case report form (CRF) was counted and sorted into 18 categories including eligibility, baseline characteristics, medical history, toxicity, and recurrence. The data items were then counted within the corresponding published manuscripts to determine percent of data used overall and within each section. In all, 8 trials, with 9 corresponding publications, were evaluated. The CRF analysis revealed that the total collected items per subject ranged from 186 to 1035 per trial with a median of 599. Across all the publications, a median of 96 data items (18%) were reported in each manuscript, ranging from 11% to 27% per trial. In 8 of the 18 categories, 4% or less of collected data items were used. The number of trials reviewed is small and were conducted from a single clinical trial coordinating centre. The main outcome of the number of data items used in the published manuscript is a surrogate for trial information considered valuable by investigators. Some data may be deemed important by investigators but not included in manuscripts. In this analysis of publications from 8 clinical trials, a small amount of data collected was ultimately used in peer-reviewed journal manuscripts. A large amount of data collected in cancer trials appears to go unused and could be omitted from CRFs, thus simplifying data collection and improving trial efficiency.

Energy Consumption Research of Mobile Data Collection Protocol for Underwater Nodes Using an USV.

PubMed

Lv, Zhichao; Zhang, Jie; Jin, Jiucai; Li, Qi; Gao, Baoru

2018-04-16

The Unmanned Surface Vehicle (USV) integrated with an acoustic modem is a novel mobile vehicle for data collection, which has an advantage in terms of mobility, efficiency, and collection cost. In the scenario of data collection, the USV is controlled autonomously along the planning trajectory and the data of underwater nodes are dynamically collected. In order to improve the efficiency of data collection and extend the life of the underwater nodes, a mobile data collection protocol for underwater nodes using the USV was proposed. In the protocol, the stop-and-wait ARQ transmission mechanism is adopted, where the duty cycle is designed considering the ratio between the sleep mode and the detection mode, and the transmission ratio is defined by the duty cycle, wake-up signal cycles, and USV’s speed. According to protocol, the evaluation index for energy consumption is constructed based on the duty cycle and the transmission ratio. The energy consumption of the protocol is simulated and analyzed using the mobile communication experiment data of USV, taking into consideration USV’s speed, data sequence length, and duty cycle. Optimized protocol parameters are identified, which in turn denotes the proposed protocol’s feasibility and effectiveness.

An intelligent tool for activity data collection.

PubMed

Sarkar, A M Jehad

2011-01-01

Activity recognition systems using simple and ubiquitous sensors require a large variety of real-world sensor data for not only evaluating their performance but also training the systems for better functioning. However, a tremendous amount of effort is required to setup an environment for collecting such data. For example, expertise and resources are needed to design and install the sensors, controllers, network components, and middleware just to perform basic data collections. It is therefore desirable to have a data collection method that is inexpensive, flexible, user-friendly, and capable of providing large and diverse activity datasets. In this paper, we propose an intelligent activity data collection tool which has the ability to provide such datasets inexpensively without physically deploying the testbeds. It can be used as an inexpensive and alternative technique to collect human activity data. The tool provides a set of web interfaces to create a web-based activity data collection environment. It also provides a web-based experience sampling tool to take the user's activity input. The tool generates an activity log using its activity knowledge and the user-given inputs. The activity knowledge is mined from the web. We have performed two experiments to validate the tool's performance in producing reliable datasets.

75 FR 23772 - Agency Information Collection Activities: Proposed Collection: Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-04

... respondents when there are missing data elements prior to submission. The annual estimate of burden is as... opportunity for public comment on proposed data collection projects (section 3506(c)(2)(A) of Title 44, United... more information on the proposed project or to obtain a copy of the data collection plans and draft...

78 FR 38429 - 60-Day Notice of Proposed Information Collection: Recording, Reporting, and Data Collection...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-26

... DEPARTMENT OF STATE [Public Notice: 8360] 60-Day Notice of Proposed Information Collection: Recording, Reporting, and Data Collection Requirements--Student and Exchange Visitor Information System... of Management and Budget (OMB) approval for the information collection described below. In accordance...

Privacy Impact Assessment for the eDiscovery Service

EPA Pesticide Factsheets

This system collects Logical Evidence Files, which include data from workstations, laptops, SharePoint and document repositories. Learn how the data is collected, used, who has access, the purpose of data collection, and record retention policies.

Long term pavement performance program protocol for calibrating traffic data collection equipment

DOT National Transportation Integrated Search

1998-05-10

This document describes the procedures that the Long Term Pavement Performance (LTPP) program recommends for ensuring that traffic data collection equipment used for LTPP traffic monitoring efforts operates correctly and collects valid data.

Privacy Impact Assessment for EZHire

EPA Pesticide Factsheets

The EZHire System collects contact and other Personally Identifiable Information (PII). Learn how this is collected for the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

Cost-effective data collection to support INDOT's mission.

DOT National Transportation Integrated Search

2012-12-01

This study's main purpose was to provide an inventory of the data collection programs undertaken by INDOT's divisions and offices and : to give recommendations regarding addition, removal, or modification of data collection programs. Chapter 1 provid...

78 FR 78958 - Agency Information Collection Activities; Submission to OMB for Review and Approval; Public...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-27

...\\ level of State data mining participation in data mining reporting only. activities. MFCU Recertification... collection of information, to search data sources, to complete and review the collection of information, and...

Privacy Impact Assessment for the Office of Administrative Services Information System

EPA Pesticide Factsheets

The Office of Administrative Services Information System collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected, used, access to the data, and the purpose of data collection.

Recommendations for Internet-Based Qualitative Health Research With Hard-to-Reach Populations

PubMed Central

Wilkerson, J. Michael; Iantaffi, Alex; Grey, Jeremy A.; Bockting, Walter O.; Simon Rosser, B. R.

2014-01-01

Researchers new to online qualitative health research frequently have questions about how to transfer knowledge of offline data collection to an online environment. In this article, we present best-practice guidelines derived from the literature and our experience to help researchers determine if an online qualitative study design is appropriate for their research project and, if so, when to begin data collection with a hard-to-reach population. Researchers should reflect on administrative, population, and data collection considerations when deciding between online and offline data collection. Decisions must be made regarding whether to conduct interviews or focus groups, to collect data using asynchronous or synchronous methods, and to use only text or incorporate visual media. Researchers should also reflect on human subjects, recruitment, research instrumentation, additional data collection, and public relations considerations when writing protocols to guide the research team’s response to various situations. Our recommendations direct researchers’ reflection on these considerations. PMID:24623662

Endpoint-based parallel data processing with non-blocking collective instructions in a parallel active messaging interface of a parallel computer

DOE Office of Scientific and Technical Information (OSTI.GOV)

Archer, Charles J; Blocksome, Michael A; Cernohous, Bob R

Endpoint-based parallel data processing with non-blocking collective instructions in a PAMI of a parallel computer is disclosed. The PAMI is composed of data communications endpoints, each including a specification of data communications parameters for a thread of execution on a compute node, including specifications of a client, a context, and a task. The compute nodes are coupled for data communications through the PAMI. The parallel application establishes a data communications geometry specifying a set of endpoints that are used in collective operations of the PAMI by associating with the geometry a list of collective algorithms valid for use with themore » endpoints of the geometry; registering in each endpoint in the geometry a dispatch callback function for a collective operation; and executing without blocking, through a single one of the endpoints in the geometry, an instruction for the collective operation.« less

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities

PubMed Central

Gibson, Dustin G; Khattar, Christelle; Labrique, Alain B; Pariyo, George W

2017-01-01

Background Given the growing interest in mobile data collection due to the proliferation of mobile phone ownership and network coverage in low- and middle-income countries (LMICs), we synthesized the evidence comparing estimates of health outcomes from multiple modes of data collection. In particular, we reviewed studies that compared a mode of remote data collection with at least one other mode of data collection to identify mode effects and areas for further research. Objective The study systematically reviewed and summarized the findings from articles and reports that compare a mode of remote data collection to at least one other mode. The aim of this synthesis was to assess the reliability and accuracy of results. Methods Seven online databases were systematically searched for primary and grey literature pertaining to remote data collection in LMICs. Remote data collection included interactive voice response (IVR), computer-assisted telephone interviews (CATI), short message service (SMS), self-administered questionnaires (SAQ), and Web surveys. Two authors of this study reviewed the abstracts to identify articles which met the primary inclusion criteria. These criteria required that the survey collected the data from the respondent via mobile phone or landline. Articles that met the primary screening criteria were read in full and were screened using secondary inclusion criteria. The four secondary inclusion criteria were that two or more modes of data collection were compared, at least one mode of data collection in the study was a mobile phone survey, the study had to be conducted in a LMIC, and finally, the study should include a health component. Results Of the 11,568 articles screened, 10 articles were included in this study. Seven distinct modes of remote data collection were identified: CATI, SMS (singular sitting and modular design), IVR, SAQ, and Web surveys (mobile phone and personal computer). CATI was the most frequent remote mode (n=5 articles). Of the three in-person modes (face-to-face [FTF], in-person SAQ, and in-person IVR), FTF was the most common (n=11) mode. The 10 articles made 25 mode comparisons, of which 12 comparisons were from a single article. Six of the 10 articles included sensitive questions. Conclusions This literature review summarizes the existing research about remote data collection in LMICs. Due to both heterogeneity of outcomes and the limited number of comparisons, this literature review is best positioned to present the current evidence and knowledge gaps rather than attempt to draw conclusions. In order to advance the field of remote data collection, studies that employ standardized sampling methodologies and study designs are necessary to evaluate the potential for differences by survey modality. PMID:28476728

Privacy Impact Assessment for Withdrawal Petition Management for the National Pollutant Discharge Elimination System

EPA Pesticide Factsheets

This system collects the names and contact information of petition submitting persons. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data

48 CFR 36.603 - Collecting data on and appraising firms' qualifications.

Code of Federal Regulations, 2014 CFR

2014-10-01

... for a geographical region or area, or a specialized type of construction. (b) Qualifications data. To... 48 Federal Acquisition Regulations System 1 2014-10-01 2014-10-01 false Collecting data on and... Architect-Engineer Services 36.603 Collecting data on and appraising firms' qualifications. (a) Establishing...

48 CFR 36.603 - Collecting data on and appraising firms' qualifications.

Code of Federal Regulations, 2010 CFR

2010-10-01

... for a geographical region or area, or a specialized type of construction. (b) Qualifications data. To... 48 Federal Acquisition Regulations System 1 2010-10-01 2010-10-01 false Collecting data on and... Architect-Engineer Services 36.603 Collecting data on and appraising firms' qualifications. (a) Establishing...

40 CFR 51.365 - Data collection.

Code of Federal Regulations, 2010 CFR

2010-07-01

....365 Data collection. Accurate data collection is essential to the management, evaluation, and enforcement of an I/M program. The program shall gather test data on individual vehicles, as well as quality... test expressed as a pass or fail along with the total purge flow in liters achieved during the test...

45 CFR 153.340 - Data collection under risk adjustment.

Code of Federal Regulations, 2014 CFR

2014-10-01

... issuers offering risk adjustment covered plans in the State comply with data privacy and security... 45 Public Welfare 1 2014-10-01 2014-10-01 false Data collection under risk adjustment. 153.340... CARE ACT State Standards Related to the Risk Adjustment Program § 153.340 Data collection under risk...

Data collection and evaluation for experimental computer science research

NASA Technical Reports Server (NTRS)

Zelkowitz, Marvin V.

1983-01-01

The Software Engineering Laboratory was monitoring software development at NASA Goddard Space Flight Center since 1976. The data collection activities of the Laboratory and some of the difficulties of obtaining reliable data are described. In addition, the application of this data collection process to a current prototyping experiment is reviewed.

Monitoring Performance: It's All in the Data.

ERIC Educational Resources Information Center

Ward, Phillip

1992-01-01

Data collection and analysis helps coaches ensure that they conduct practices and make decisions based on objective and consistently recorded information. The article discusses how, where, and when coaches should collect data on athletes, noting data collection should emphasize include training loads, body weight, sleep, health, and injuries. (SM)

78 FR 20612 - Agency Information Collection Activities: Proposed Collection; Comment Request-Food Programs...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-04-05

... programmatic and financial data through the Food Programs Reporting System (FPRS). The data is currently... financial data reporting requirements that are currently approved by the Office of Management and Budget... and ITOs operate. The data collected is used for a variety of purposes: mainly program evaluation...

40 CFR 51.365 - Data collection.

Code of Federal Regulations, 2011 CFR

2011-07-01

....365 Data collection. Accurate data collection is essential to the management, evaluation, and enforcement of an I/M program. The program shall gather test data on individual vehicles, as well as quality... test expressed as a pass or fail along with the total purge flow in liters achieved during the test...

45 CFR 153.420 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 45 Public Welfare 1 2013-10-01 2013-10-01 false Data collection. 153.420 Section 153.420 Public... Issuer and Group Health Plan Standards Related to the Reinsurance Program § 153.420 Data collection. (a) Data requirement. To be eligible for reinsurance payments, an issuer of a reinsurance-eligible plan...

5 CFR 890.1307 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 5 Administrative Personnel 2 2014-01-01 2014-01-01 false Data collection. 890.1307 Section 890... Program Demonstration Project § 890.1307 Data collection. Each carrier will compile, maintain, and when requested by OPM or DoD, report data on its plan's experience necessary to produce reports containing the...

5 CFR 890.1307 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 5 Administrative Personnel 2 2013-01-01 2013-01-01 false Data collection. 890.1307 Section 890... Program Demonstration Project § 890.1307 Data collection. Each carrier will compile, maintain, and when requested by OPM or DoD, report data on its plan's experience necessary to produce reports containing the...

34 CFR 303.124 - Data collection.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 34 Education 2 2012-07-01 2012-07-01 false Data collection. 303.124 Section 303.124 Education... Statewide System § 303.124 Data collection. (a) Each statewide system must include a system for compiling and reporting timely and accurate data that meets the requirements in paragraph (b) of this section...

5 CFR 890.1307 - Data collection.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 5 Administrative Personnel 2 2012-01-01 2012-01-01 false Data collection. 890.1307 Section 890... Program Demonstration Project § 890.1307 Data collection. Each carrier will compile, maintain, and when requested by OPM or DoD, report data on its plan's experience necessary to produce reports containing the...

45 CFR 153.420 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 45 Public Welfare 1 2014-10-01 2014-10-01 false Data collection. 153.420 Section 153.420 Public... Issuer and Group Health Plan Standards Related to the Reinsurance Program § 153.420 Data collection. (a) Data requirement. To be eligible for reinsurance payments, an issuer of a reinsurance-eligible plan...

34 CFR 303.124 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 34 Education 2 2013-07-01 2013-07-01 false Data collection. 303.124 Section 303.124 Education... Statewide System § 303.124 Data collection. (a) Each statewide system must include a system for compiling and reporting timely and accurate data that meets the requirements in paragraph (b) of this section...

34 CFR 303.124 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 34 Education 2 2014-07-01 2013-07-01 true Data collection. 303.124 Section 303.124 Education... Statewide System § 303.124 Data collection. (a) Each statewide system must include a system for compiling and reporting timely and accurate data that meets the requirements in paragraph (b) of this section...

76 FR 12823 - Enhanced Collection of Relevant Data and Statistics Relating to Women

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-09

... greater understanding of policies and programs. Preparation of this report revealed the vast data... Collection of Relevant Data and Statistics Relating to Women Memorandum for the Heads of Executive... accompanying website collection of relevant data, will assist Government officials in crafting policies in...

77 FR 47501 - Applications for New Awards; Technical Assistance on State Data Collection, Analysis, and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-08

... Awards; Technical Assistance on State Data Collection, Analysis, and Reporting--National IDEA Technical Assistance Center on Early Childhood Longitudinal Data Systems; Notice #0;#0;Federal Register / Vol. 77 , No... for New Awards; Technical Assistance on State Data Collection, Analysis, and Reporting--National IDEA...

24 CFR 902.60 - Data collection.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 24 Housing and Urban Development 4 2010-04-01 2010-04-01 false Data collection. 902.60 Section 902... PUBLIC HOUSING ASSESSMENT SYSTEM PHAS Scoring § 902.60 Data collection. (a) Fiscal Year reporting period... transmission of the data. (c) Financial condition information. Year-end financial information to conduct the...

5 CFR 890.1307 - Data collection.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 5 Administrative Personnel 2 2011-01-01 2011-01-01 false Data collection. 890.1307 Section 890... Program Demonstration Project § 890.1307 Data collection. Each carrier will compile, maintain, and when requested by OPM or DoD, report data on its plan's experience necessary to produce reports containing the...

12 CFR 1805.804 - Data collection and reporting.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Data collection and reporting. 1805.804 Section... Data collection and reporting. (a) Data—General. An Awardee (and a Community Partner, if appropriate.... An Awardee (and a Community Partner, if appropriate) shall compile such data on the gender, race...

Internet-Based Data Collection: Promises and Realities

ERIC Educational Resources Information Center

Benfield, Jacob A.; Szlemko, William J.

2006-01-01

The use of Internet to aid research practice has become more popular in the recent years. In fact, some believe that Internet surveying and electronic data collection may revolutionize many disciplines by allowing for easier data collection, larger samples, and therefore more representative data. However, others are skeptical of its usability as…

Collecting urban health indicators from routinely available sources: development and piloting of a tool for the collection of existing data for EURO-URHIS 2.

PubMed

Higgerson, James; Pope, Dan; Birt, Christopher A; van Ameijden, Erik; Verma, Arpana

2017-05-01

EURO-URHIS 2 aimed to collect comparable health indicators across a large number of urban areas (UAs) across Europe and Vietnam using four data collection tools. This paper outlines the process for the selection of indicators to be collected from routinely available sources, and the piloting of the data collection tool. A long-list of indicators potentially collectable from routinely available sources was generated by the EURO-URHIS 2 consortium. Key contacts from each UA completed an e-mail survey reporting for each indicator whether it could be collected using the given definition, an alternative definition or not at all. Additionally participants listed the 20 leading causes of death for their UAs from the Eurostat 65. Results were compiled to inform indicator selection for the main data collection phase. Responses were received for 25 of 28 eligible UAs. Of the 29 proposed indicators, 55.1% ( n = 16) were accepted without change, 24.1% ( n = 7) were re-allocated to other data collection tools and 17.2% ( n = 5) were accepted after a modification of the EURO-URHIS 2 definition. This scoping exercise and piloting phase for the 'existing data tool' for the project was useful and informative. It provided detailed information on what could be collected, and an opportunity to modify indicator definitions to maximize response rates. These results are only applicable to those UAs returning results and cannot be generalized. Detailed interrogation of definitions is essential to this sort of data collection, and the process described was designed with cross-national comparability in mind. © The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Small rural emergency services can electronically collect accurate episode-level data: A cross-sectional study.

PubMed

Dawson, Samantha L; Baker, Tim; Salzman, Scott

2015-04-01

There is little evidence that useful electronic data could be collected at Australian small rural emergency services. If in future their funding model changed to the Activity-Based Funding model, then they would need to collect and submit more data. We determine whether it is possible to collect episode-level data at six small rural emergency services and quantify the accuracy of eight fields. A prospective cross-sectional study. South-West Victoria, Australia. Six small rural emergency services. We collected and audited episode-level emergency data from participating services between 1 February 2011 and 31 January 2012. A random sample of these data were audited monthly. Research assistants located at each service supported data entry and audited data accuracy for four hours per week. Rates for data completeness, accuracy and total accuracy were calculated using audit data. Episode-level data were collected for 20 224 presentations across six facilities. The audit dataset consisted of 8.5% (1504/17 627) of presentations from five facilities. For all fields audited, the accuracy of entered data was high (>93%).Triage category was deemed appropriate for 95.9% (95% confidence interval (CI): 94.9-96.9%) of the patient records reviewed. Some procedures were missing (28.7%, 95%CI: 27.2-30.3%). No significant improvement in data accuracy over 12 months was observed. All six services collected useful episode-level data for 12-months with four hours per week of assistance. Data entry accuracy was high for all fields audited, and data entry completeness was low for procedures. © 2015 National Rural Health Alliance Inc.

Development of a Data Collection Tool for MbHIS-QUAL: Evaluation of the Quality of Morbidity Data in Routine Health Information Systems (RHISs) in Hospitals.

PubMed

Hanmer, Lyn; Nicola, Edward; Bradshaw, Debbie

2017-01-01

The quality of morbidity data in multiple routine inpatient records in a sample of South African hospitals is being assessed in terms of data accuracy and completeness. Extensive modification of available data collection tools was required to make it possible to collect the required data for the study.

Hyper-resolution monitoring of urban flooding with social media and crowdsourcing data

NASA Astrophysics Data System (ADS)

Wang, Ruo-Qian; Mao, Huina; Wang, Yuan; Rae, Chris; Shaw, Wesley

2018-02-01

Hyper-resolution datasets for urban flooding are rare. This problem prevents detailed flooding risk analysis, urban flooding control, and the validation of hyper-resolution numerical models. We employed social media and crowdsourcing data to address this issue. Natural Language Processing and Computer Vision techniques are applied to the data collected from Twitter and MyCoast (a crowdsourcing app). We found these big data based flood monitoring approaches can complement the existing means of flood data collection. The extracted information is validated against precipitation data and road closure reports to examine the data quality. The two data collection approaches are compared and the two data mining methods are discussed. A series of suggestions is given to improve the data collection strategy.

Handheld computers for survey and trial data collection in resource-poor settings: development and evaluation of PDACT, a Palm Pilot interviewing system.

PubMed

Seebregts, Christopher J; Zwarenstein, Merrick; Mathews, Catherine; Fairall, Lara; Flisher, Alan J; Seebregts, Clive; Mukoma, Wanjiru; Klepp, Knut-Inge

2009-11-01

Handheld computers (personal digital assistant, PDA) have the potential to reduce the logistic burden, cost, and error rate of paper-based health research data collection, but there is a lack of appropriate software. The present work describes the development and evaluation of PDACT, a Personal Data Collection Toolset (www.healthware.org/pdact/index.htm) for the Palm Pilot handheld computer for interviewer-administered and respondent-administered data collection. We developed Personal Data Collection Toolkit (PDACT) software to enable questionnaires developed in QDS Design Studio, a Windows application, to be compiled and completed on Palm Pilot devices and evaluated in several representative field survey settings. The software has been used in seven separate studies and in over 90,000 interviews. Five interviewer-administered studies were completed in rural settings with poor communications infrastructure, following one day of interviewer training. Two respondent-administered questionnaire studies were completed by learners, in urban secondary schools, after 15min training. Questionnaires were available on each handheld in up to 11 languages, ranged from 20 to 580 questions, and took between 15 and 90min to complete. Up to 200 Palm Pilot devices were in use on a single day and, in about 50 device-years of use, very few technical problems were found. Compared with paper-based collection, data validation and cleaning times were reduced, and fewer errors were found. PDA data collection is easy to use and preferred by interviewers and respondents (both respondent-administered and interviewer-administered) over paper. Data are compiled and available within hours of collection facilitating data quality assurance. Although hardware increases the setup cost of the first study, the cumulative cost falls thereafter, and converges on the cumulative cost of paper-based studies (four, in the case of our interviewer-administered studies). Handheld data collection is an appropriate, affordable and convenient technology for health data collection, in diverse settings.

Can volunteers collect data that are comparable to professional scientists? A study of variables used in monitoring the outcomes of ecosystem rehabilitation.

PubMed

Gollan, John; de Bruyn, Lisa Lobry; Reid, Nick; Wilkie, Lance

2012-11-01

Having volunteers collect data can be a cost-effective strategy to complement or replace those collected by scientists. The quality of these data is essential where field-collected data are used to monitor progress against predetermined standards because they provide decision makers with confidence that choices they make will not cause more harm than good. The integrity of volunteer-collected data is often doubted. In this study, we made estimates of seven vegetation attributes and a composite measure of six of those seven, to simulate benchmark values. These attributes are routinely recorded as part of rehabilitation projects in Australia and elsewhere in the world. The degree of agreement in data collected by volunteers was compared with those recorded by professional scientists. Combined results showed that scientists collected data that was in closer agreement with benchmarks than those of volunteers, but when data collected by individuals were analyzed, some volunteers collected data that were in similar or closer agreement, than scientists. Both groups' estimates were in closer agreement for particular attributes than others, suggesting that some attributes are more difficult to estimate than others, or that some are more subjective than others. There are a number of ways in which higher degrees of agreement could be achieved and introducing these will no doubt result in better, more effective programs, to monitor rehabilitation activities. Alternatively, less subjective measures should be sought when developing monitoring protocols. Quality assurance should be part of developing monitoring methods and explicitly budgeted for in project planning to prevent misleading declarations of rehabilitation success.

Variations in data collection can influence outcome measures of BMI measuring programmes.

PubMed

Townsend, Nick; Rutter, Harry; Foster, Charlie

2011-10-01

The World Health Organization (WHO) promotes the surveillance of obesity prevalence through standardized and harmonized surveillance systems. However, variations in data collection between countries, or between coordinating regions in countries can affect outcome measures. Multilevel analysis of 2007/08 National Child Measurement Programme (NCMP) data estimating the relationship between BMI z-score and data collection variations within coordinating regions whilst adjusting for individual-level and school-level variables. The 2007/08 NCMP collected height and weight measurements for 478,381 Reception year pupils (4-5-year-olds) and 496,297 year 6 pupils (10-11-year-olds) from 17,279 primary schools in 152 data collection coordinating regions in England. Data collection variables accounted for 29.7% of the regional variation in BMI z-score for Reception year pupils but only 5.3% for the older Year 6 pupils. Digit preference in the rounding of weight measurements had the greatest impact of all the data collection variables, explaining 26.4% of the regional variation in BMI z-score for Reception year pupils and 4.0% for Year 6 pupils. Although variations in data collection may have a small effect on individual measurements their impact can be magnified when scaled up to regional or national figures. All measurement programmes must regularly identify and minimize variations in data collection to improve accuracy of outcome measures. These factors include those identified within this study: participation and opt out rates, the time in the year the measurements are taken and the recording of measurements to the correct decimal place.

Fish, benthic macroinvertebrate, and stream habitat data from the Houston-Galveston Area Council service area, Texas, 1997-98

USGS Publications Warehouse

Moring, J. Bruce; Rosendale, John C.; Ansley, Stephen P.; Brown, Dexter W.

1998-01-01

The U.S. Geological Survey collected fish, benthic macroinvertebrate, and stream habitat data at sampling sites in the Houston-Galveston Area Council service area, a 15-county area with a population of about 4.3 million people. The data were collected for a 1997?98 study in cooperation with the Houston-Galveston Area Council to provide data for the Texas Clean Rivers Program for watersheds near Houston, Texas. Fish community and stream habitat data were collected at all 56 sites selected, and benthic macroinvertebrate data were collected at 39 of the sites.

Automated collection of imaging and phenotypic data to centralized and distributed data repositories

PubMed Central

King, Margaret D.; Wood, Dylan; Miller, Brittny; Kelly, Ross; Landis, Drew; Courtney, William; Wang, Runtang; Turner, Jessica A.; Calhoun, Vince D.

2014-01-01

Accurate data collection at the ground level is vital to the integrity of neuroimaging research. Similarly important is the ability to connect and curate data in order to make it meaningful and sharable with other investigators. Collecting data, especially with several different modalities, can be time consuming and expensive. These issues have driven the development of automated collection of neuroimaging and clinical assessment data within COINS (Collaborative Informatics and Neuroimaging Suite). COINS is an end-to-end data management system. It provides a comprehensive platform for data collection, management, secure storage, and flexible data retrieval (Bockholt et al., 2010; Scott et al., 2011). It was initially developed for the investigators at the Mind Research Network (MRN), but is now available to neuroimaging institutions worldwide. Self Assessment (SA) is an application embedded in the Assessment Manager (ASMT) tool in COINS. It is an innovative tool that allows participants to fill out assessments via the web-based Participant Portal. It eliminates the need for paper collection and data entry by allowing participants to submit their assessments directly to COINS. Instruments (surveys) are created through ASMT and include many unique question types and associated SA features that can be implemented to help the flow of assessment administration. SA provides an instrument queuing system with an easy-to-use drag and drop interface for research staff to set up participants' queues. After a queue has been created for the participant, they can access the Participant Portal via the internet to fill out their assessments. This allows them the flexibility to participate from home, a library, on site, etc. The collected data is stored in a PostgresSQL database at MRN. This data is only accessible by users that have explicit permission to access the data through their COINS user accounts and access to MRN network. This allows for high volume data collection and with minimal user access to PHI (protected health information). An added benefit to using COINS is the ability to collect, store and share imaging data and assessment data with no interaction with outside tools or programs. All study data collected (imaging and assessment) is stored and exported with a participant's unique subject identifier so there is no need to keep extra spreadsheets or databases to link and keep track of the data. Data is easily exported from COINS via the Query Builder and study portal tools, which allow fine grained selection of data to be exported into comma separated value file format for easy import into statistical programs. There is a great need for data collection tools that limit human intervention and error while at the same time providing users with intuitive design. COINS aims to be a leader in database solutions for research studies collecting data from several different modalities. PMID:24926252

Automated collection of imaging and phenotypic data to centralized and distributed data repositories.

PubMed

King, Margaret D; Wood, Dylan; Miller, Brittny; Kelly, Ross; Landis, Drew; Courtney, William; Wang, Runtang; Turner, Jessica A; Calhoun, Vince D

2014-01-01

Accurate data collection at the ground level is vital to the integrity of neuroimaging research. Similarly important is the ability to connect and curate data in order to make it meaningful and sharable with other investigators. Collecting data, especially with several different modalities, can be time consuming and expensive. These issues have driven the development of automated collection of neuroimaging and clinical assessment data within COINS (Collaborative Informatics and Neuroimaging Suite). COINS is an end-to-end data management system. It provides a comprehensive platform for data collection, management, secure storage, and flexible data retrieval (Bockholt et al., 2010; Scott et al., 2011). It was initially developed for the investigators at the Mind Research Network (MRN), but is now available to neuroimaging institutions worldwide. Self Assessment (SA) is an application embedded in the Assessment Manager (ASMT) tool in COINS. It is an innovative tool that allows participants to fill out assessments via the web-based Participant Portal. It eliminates the need for paper collection and data entry by allowing participants to submit their assessments directly to COINS. Instruments (surveys) are created through ASMT and include many unique question types and associated SA features that can be implemented to help the flow of assessment administration. SA provides an instrument queuing system with an easy-to-use drag and drop interface for research staff to set up participants' queues. After a queue has been created for the participant, they can access the Participant Portal via the internet to fill out their assessments. This allows them the flexibility to participate from home, a library, on site, etc. The collected data is stored in a PostgresSQL database at MRN. This data is only accessible by users that have explicit permission to access the data through their COINS user accounts and access to MRN network. This allows for high volume data collection and with minimal user access to PHI (protected health information). An added benefit to using COINS is the ability to collect, store and share imaging data and assessment data with no interaction with outside tools or programs. All study data collected (imaging and assessment) is stored and exported with a participant's unique subject identifier so there is no need to keep extra spreadsheets or databases to link and keep track of the data. Data is easily exported from COINS via the Query Builder and study portal tools, which allow fine grained selection of data to be exported into comma separated value file format for easy import into statistical programs. There is a great need for data collection tools that limit human intervention and error while at the same time providing users with intuitive design. COINS aims to be a leader in database solutions for research studies collecting data from several different modalities.

Use of infrared telemetry as part of a nonintrusive inflight data collection system to collect human factors data

NASA Technical Reports Server (NTRS)

Micocci, Angelo

1993-01-01

The objective of this paper is to present a methodology and rationale for development of a Nonintrusive Inflight Data Collection System (NIDCS) to collect Human Factors (HF) data during a space mission. These data will enable the research team to identify and resolve issues. This paper will present the background and history of the NIDCS, the methodology and techniques employed versus those in current use on Earth, initial results of the effort--including a brief description of the equipment, and, finally, a discussion of the scientific importance and possible future applications of this system elsewhere. The schema for the NIDCS includes a collection of three types of data: behavioral, physiological, and biomechanical. These will be collected using videotape of crew members' activities, bioelectric signal measurement, and measurement of kinematics and kinetics, respectively. This paper will focus on the second type of data, physiological activity as determined by changes in bioelectric potentials as crew members perform daily assignments.

75 FR 4594 - Proposed Data Collection(s) Available for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-28

... surveys designed to determine the kinds and quality of services our beneficiaries, claimants, employers... of Information Collection Voluntary Customer Surveys in Accordance with E.O. 12862; OMB 3220-0192 In... surveys are limited to data collections that solicit strictly voluntary opinions, and do not collect...

77 FR 76062 - Agency Information Collection Activities: E-Verify Program Data Collections. New Information...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-26

... DEPARTMENT OF HOMELAND SECURITY U.S. Citizenship and Immigration Services [OMB Control Number 1615-NEW] Agency Information Collection Activities: E-Verify Program Data Collections. New Information Collection; Comment Request. ACTION: 60-Day notice. * * * * * The Department of Homeland Security (DHS), U.S. Citizenship and Immigration Services ...

Heavy vehicle driver workload assessment. Task 3, task analysis data collection

DOT National Transportation Integrated Search

This technical report consists of a collection of task analytic data to support heavy vehicle driver workload assessment and protocol development. Data were collected from professional drivers to provide insights into the following issues: the meanin...

Privacy Impact Assessment for the Contract Payment System

EPA Pesticide Factsheets

The Contract Payment System collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention.

STS-58 crewmembers participate in baseline data collection

NASA Image and Video Library

1993-09-29

S93-45376 (29 Sept 1993) --- Astronaut Rhea Seddon, STS-58 payload commander, participates in data collection for neurovestibular functions. The data collection process was in preparation for the Spacelab Life Sciences (SLS-2) flight scheduled for next month.

Privacy Impact Assessment for the Correspondence Management System

EPA Pesticide Factsheets

The Correspondence Management System collects basic contact information (name, address, e-mail and phone number). Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Privacy Impact Assessment for the Enforcement Action Response System

EPA Pesticide Factsheets

The Enforcement Action Response System collects waste transaction information, and liability determination information. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies

Privacy Impact Assessment for the Integrated Grants Management System

EPA Pesticide Factsheets

The Integrated Management System collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

The study of data collection method for the plasma properties collection and evaluation system from web

NASA Astrophysics Data System (ADS)

Park, Jun-Hyoung; Song, Mi-Young; Plasma Fundamental Technology Research Team

2015-09-01

Plasma databases are necessarily required to compute the plasma parameters and high reliable databases are closely related with accuracy enhancement of simulations. Therefore, a major concern of plasma properties collection and evaluation system is to create a sustainable and useful research environment for plasma data. The system has a commitment to provide not only numerical data but also bibliographic data (including DOI information). Originally, our collection data methods were done by manual data search. In some cases, it took a long time to find data. We will be find data more automatically and quickly than legacy methods by crawling or search engine such as Lucene.

Methodological tools for the collection and analysis of participant observation data using grounded theory.

PubMed

Laitinen, Heleena; Kaunonen, Marja; Astedt-Kurki, Päivi

2014-11-01

To give clarity to the analysis of participant observation in nursing when implementing the grounded theory method. Participant observation (PO) is a method of collecting data that reveals the reality of daily life in a specific context. In grounded theory, interviews are the primary method of collecting data but PO gives a distinctive insight, revealing what people are really doing, instead of what they say they are doing. However, more focus is needed on the analysis of PO. An observational study carried out to gain awareness of nursing care and its electronic documentation in four acute care wards in hospitals in Finland. Discussion of using the grounded theory method and PO as a data collection tool. The following methodological tools are discussed: an observational protocol, jotting of notes, microanalysis, the use of questioning, constant comparison, and writing and illustrating. Each tool has specific significance in collecting and analysing data, working in constant interaction. Grounded theory and participant observation supplied rich data and revealed the complexity of the daily reality of acute care. In this study, the methodological tools provided a base for the study at the research sites and outside. The process as a whole was challenging. It was time-consuming and it required rigorous and simultaneous data collection and analysis, including reflective writing. Using these methodological tools helped the researcher stay focused from data collection and analysis to building theory. Using PO as a data collection method in qualitative nursing research provides insights. It is not commonly discussed in nursing research and therefore this study can provide insight, which cannot be seen or revealed by using other data collection methods. Therefore, this paper can produce a useful tool for those who intend to use PO and grounded theory in their nursing research.

Evaluating software development by analysis of changes: The data from the software engineering laboratory

NASA Technical Reports Server (NTRS)

1982-01-01

An effective data collection methodology for evaluating software development methodologies was applied to four different software development projects. Goals of the data collection included characterizing changes and errors, characterizing projects and programmers, identifying effective error detection and correction techniques, and investigating ripple effects. The data collected consisted of changes (including error corrections) made to the software after code was written and baselined, but before testing began. Data collection and validation were concurrent with software development. Changes reported were verified by interviews with programmers.

Operational aspects of satellite data collection systems

NASA Technical Reports Server (NTRS)

Morakis, J. C.

1979-01-01

Operational aspects of satellite data collection systems (DCS) are discussed with consideration given to a cooperative program between the United States and France. The Tiros-N DCS is described which is a random access system providing operational capability for position location and/or data collection of 4000 to 16,000 moving and/or fixed platforms. The platform transmissions and processing of the data is designed to conform with the user needs. The position location is obtained through ground processing of Doppler measurements made by the data collection instrument on board the spacecraft.

The relevance, biases, and importance of digitising opportunistic non-standardised collections: A case study in Iberian harvestmen fauna with BOS Arthropod Collection datasets (Arachnida, Opiliones).

PubMed

Merino-Sáinz, Izaskun; Torralba-Burrial, Antonio; Anadón, Araceli

2014-01-01

In this study, we analyse the relevance of harvestmen distribution data derived from opportunistic, unplanned, and non-standardised collection events in an area in the north of the Iberian Peninsula. Using specimens deposited in the BOS Arthropod Collection at the University of Oviedo, we compared these data with data from planned, standardised, and periodic collections with pitfall traps in several locations in the same area. The Arthropod Collection, begun in 1977, includes specimens derived from both sampling types, and its recent digitisation allows for this type of comparative analysis. Therefore, this is the first data-paper employing a hybrid approach, wherein subset metadata are described alongside a comparative analysis. The full dataset can be accessed through Spanish GBIF IPT at http://www.gbif.es:8080/ipt/archive.do?r=Bos-Opi, and the metadata of the unplanned collection events at http://www.gbif.es:8080/ipt/resource.do?r=bos-opi_unplanned_collection_events. We have mapped the data on the 18 harvestmen species included in the unplanned collections and provided records for some species in six provinces for the first time. We have also provided the locations of Phalangium opilio in eight provinces without published records. These results highlight the importance of digitising data from unplanned biodiversity collections, as well as those derived from planned collections, especially in scarcely studied groups and areas.

The relevance, biases, and importance of digitising opportunistic non-standardised collections: A case study in Iberian harvestmen fauna with BOS Arthropod Collection datasets (Arachnida, Opiliones)

PubMed Central

Merino-Sáinz, Izaskun; Torralba-Burrial, Antonio; Anadón, Araceli

2014-01-01

Abstract In this study, we analyse the relevance of harvestmen distribution data derived from opportunistic, unplanned, and non-standardised collection events in an area in the north of the Iberian Peninsula. Using specimens deposited in the BOS Arthropod Collection at the University of Oviedo, we compared these data with data from planned, standardised, and periodic collections with pitfall traps in several locations in the same area. The Arthropod Collection, begun in 1977, includes specimens derived from both sampling types, and its recent digitisation allows for this type of comparative analysis. Therefore, this is the first data-paper employing a hybrid approach, wherein subset metadata are described alongside a comparative analysis. The full dataset can be accessed through Spanish GBIF IPT at http://www.gbif.es:8080/ipt/archive.do?r=Bos-Opi, and the metadata of the unplanned collection events at http://www.gbif.es:8080/ipt/resource.do?r=bos-opi_unplanned_collection_events. We have mapped the data on the 18 harvestmen species included in the unplanned collections and provided records for some species in six provinces for the first time. We have also provided the locations of Phalangium opilio in eight provinces without published records. These results highlight the importance of digitising data from unplanned biodiversity collections, as well as those derived from planned collections, especially in scarcely studied groups and areas. PMID:24843271

Data Flow Infrastructure Initiative (DFII): Coupling Inventory Practices and Data collection Technology to Enhance Research Productivity and Information Access

NASA Astrophysics Data System (ADS)

Meyer, K.; Malin, R.; Rich, R. L.; Pierce, S. A.

2011-12-01

Shortening the cycle from data collection to research publications is a competitive advantage for researchers. Existing technologies for inventory systems such as UPC barcoding systems can be coupled with flexible mobile or handheld devices to advance efficiency, productivity, automation, and integrity in data flows, from data collection to sample processing to database management and analysis, and finally publication. At the University of Texas, the Data Flow Infrastructure Initiative (DFII) has introduced handheld devices with integrated barcode scanners as a mechanism to enhance research productivity and information access. These devices are established technology and provide a flexible but consistent platform for research data collection and data management. They are not in widespread use yet in the research community. Additional application benefits will accrue by using handheld devices to deliver data on demand in teaching applications. Introducing research scientists, graduate students, and the UT community to the merits and flexibility of these data collection technologies will provide avenues for innovation as well as improving efficiency. The objective of this project is to bring the technology and expertise with handheld systems to a diverse set of pilot projects and establish proficiency at The University of Texas at Austin necessary for widespread application. We have implemented a pilot project in three research labs covering the fields of microbial ecology, water resources decision support, and biogeochemistry to introduce these technologies. We used NautizX5 handheld devices that feature: barcode scanning, bluetooth, stylus, and keypad data inputs coupled with Pendragon Forms Software, a program that allows users to create custom data collection forms structured into an SQL or Access platform thus allowing concurrent data management, data collection and analysis in field and lab settings. Results include the elimination of most manual data entry, reducing data entry error, tracking effectiveness at data collection, and increased sampling efficiency and consistency over multi-year experiments.

Forum Guide to Crime, Violence, and Discipline Incident Data. NFES 2011-806

ERIC Educational Resources Information Center

National Forum on Education Statistics, 2011

2011-01-01

This guide is designed for use by school, district, and state staff to improve the effectiveness of efforts to collect and use disciplinary incident data, including reporting accurate and timely incident data to the federal government. It provides recommendations on what types of data to collect, why it is critical to collect such data, and how to…

Streamflow data: Chapter 13

USGS Publications Warehouse

Wiche, Gregg J.; Holmes, Robert R.

2016-01-01

Streamflow data are vital for a variety of water-resources issues, from flood warning to water supply planning. The collection of streamflow data is usually an involved and complicated process. This chapter serves as an overview of the streamflow data collection process. Readers with the need for the detailed information on the streamflow data collection process are referred to the many references noted in this chapter.

Digital data collection in paleoanthropology.

PubMed

Reed, Denné; Barr, W Andrew; Mcpherron, Shannon P; Bobe, René; Geraads, Denis; Wynn, Jonathan G; Alemseged, Zeresenay

2015-01-01

Understanding patterns of human evolution across space and time requires synthesizing data collected by independent research teams, and this effort is part of a larger trend to develop cyber infrastructure and e-science initiatives. At present, paleoanthropology cannot easily answer basic questions about the total number of fossils and artifacts that have been discovered, or exactly how those items were collected. In this paper, we examine the methodological challenges to data integration, with the hope that mitigating the technical obstacles will further promote data sharing. At a minimum, data integration efforts must document what data exist and how the data were collected (discovery), after which we can begin standardizing data collection practices with the aim of achieving combined analyses (synthesis). This paper outlines a digital data collection system for paleoanthropology. We review the relevant data management principles for a general audience and supplement this with technical details drawn from over 15 years of paleontological and archeological field experience in Africa and Europe. The system outlined here emphasizes free open-source software (FOSS) solutions that work on multiple computer platforms; it builds on recent advances in open-source geospatial software and mobile computing. © 2015 Wiley Periodicals, Inc.

Who Shot Ya? How Emergency Departments Can Collect Reliable Police Shooting Data.

PubMed

Richardson, Joseph B; St Vil, Christopher; Cooper, Carnell

2016-04-01

This paper examines an alternative solution for collecting reliable police shooting data. One alternative is the collection of police shooting data from hospital trauma units, specifically hospital-based violence intervention programs. These programs are situated in Level I trauma units in many major cities in USA. While the intent of these programs is to reduce the risk factors associated with trauma recidivism among victims of violent injury, they also collect reliable data on the number of individuals treated for gunshot wounds. While most trauma units do a great job collecting data on mode of injury, many do not collect data on the circumstances surrounding the injury, particularly police-involved shootings. Research protocol on firearm-related injury conducted in emergency departments typically does not allow researchers to interview victims of violent injury who are under arrest. Most victims of nonfatal police-involved shootings are under arrest at the time they are treated by the ED for their injury. Research protocol on victims of violent injury often excludes individuals under arrest; they fall under the exclusion criteria when recruiting potential participants for research on violence. Researchers working in hospital emergency departments are prohibited from recruited individuals under arrests. The trauma staff, particularly ED physicians and nurses, are in a strategic position to collect this kind of data. Thus, this paper examines how trauma units can serve as an alternative in the reliable collection of police shooting data.

Operational environmental satellite archives in the 21st Century

NASA Astrophysics Data System (ADS)

Barkstrom, Bruce R.; Bates, John J.; Privette, Jeff; Vizbulis, Rick

2007-09-01

NASA, NOAA, and USGS collections of Earth science data are large, federated, and have active user communities and collections. Our experience raises five categories of issues for long-term archival: *Organization of the data in the collections is not well-described by text-based categorization principles *Metadata organization for these data is not well-described by Dublin Core and needs attention to data access and data use patterns *Long-term archival requires risk management approaches to dealing with the unique threats to knowledge preservation specific to digital information *Long-term archival requires careful attention to archival cost management *Professional data stewards for these collections may require special training. This paper suggests three mechanisms for improving the quality of long-term archival: *Using a maturity model to assess the readiness of data for accession, for preservation, and for future data usefulness *Developing a risk management strategy for systematically dealing with threats of data loss *Developing a life-cycle cost model for continuously evolving the collections and the data centers that house them.

[Big data and their perspectives in radiation therapy].

PubMed

Guihard, Sébastien; Thariat, Juliette; Clavier, Jean-Baptiste

2017-02-01

The concept of big data indicates a change of scale in the use of data and data aggregation into large databases through improved computer technology. One of the current challenges in the creation of big data in the context of radiation therapy is the transformation of routine care items into dark data, i.e. data not yet collected, and the fusion of databases collecting different types of information (dose-volume histograms and toxicity data for example). Processes and infrastructures devoted to big data collection should not impact negatively on the doctor-patient relationship, the general process of care or the quality of the data collected. The use of big data requires a collective effort of physicians, physicists, software manufacturers and health authorities to create, organize and exploit big data in radiotherapy and, beyond, oncology. Big data involve a new culture to build an appropriate infrastructure legally and ethically. Processes and issues are discussed in this article. Copyright © 2016 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.

Acceptability and adoption of handheld computer data collection for public health research in China: a case study

PubMed Central

2013-01-01

Background Handheld computers for data collection (HCDC) and management have become increasingly common in health research. However, current knowledge about the use of HCDC in health research in China is very limited. In this study, we administered a survey to a hard-to-reach population in China using HCDC and assessed the acceptability and adoption of HCDC in China. Methods Handheld computers operating Windows Mobile and Questionnaire Development Studio (QDS) software (Nova Research Company) were used for this survey. Questions on tobacco use and susceptibility were drawn from the Global Adult Tobacco Survey (GATS) and other validated instruments, and these were programmed in Chinese characters by local staff. We conducted a half-day training session for survey supervisors and a three-day training session for 20 interviewers and 9 supervisors. After the training, all trainees completed a self-assessment of their skill level using HCDC. The main study was implemented in fall 2010 in 10 sites, with data managed centrally in Beijing. Study interviewers completed a post-survey evaluation questionnaire on the acceptability and utility of HCDC in survey research. Results Twenty-nine trainees completed post-training surveys, and 20 interviewers completed post-data collection questionnaires. After training, more than 90% felt confident about their ability to collect survey data using HCDC, to transfer study data from a handheld computer to a laptop, and to encrypt the survey data file. After data collection, 80% of the interviewers thought data collection and management were easy and 60% of staff felt confident they could solve problems they might encounter. Overall, after data collection, nearly 70% of interviewers reported that they would prefer to use handheld computers for future surveys. More than half (55%) felt the HCDC was a particularly useful data collection tool for studies conducted in China. Conclusions We successfully conducted a health-related survey using HCDC. Using handheld computers for data collection was a feasible, acceptable, and preferred method by Chinese interviewers. Despite minor technical issues that occurred during data collection, HCDC is a promising methodology to be used in survey-based research in China. PMID:23802988

Incorporating Geoscience, Field Data Collection Workflows into Software Developed for Mobile Devices

NASA Astrophysics Data System (ADS)

Vieira, D. A.; Mookerjee, M.; Matsa, S.

2014-12-01

Modern geological sciences depend heavily on investigating the natural world in situ, i.e., within "the field," as well as managing data collections in the light of evolving advances in technology and cyberinfrastructure. To accelerate the rate of scientific discovery, we need to expedite data collection and management in such a way so as to not interfere with the typical geoscience, field workflow. To this end, we suggest replacing traditional analog methods of data collection, such as the standard field notebook and compass, with primary digital data collection applications. While some field data collecting apps exist for both the iOS and android operating systems, they do not communicate with each other in an organized data collection effort. We propose the development of a mobile app that coordinates the collection of GPS, photographic, and orientation data, along with field observations. Additionally, this application should be able to pair with other devices in order to incorporate other sensor data. In this way, the app can generate a single file that includes all field data elements and can be synced to the appropriate database with ease and efficiency. We present here a prototype application that attempts to illustrate how digital collection can be integrated into a "typical" geoscience, field workflow. The purpose of our app is to get field scientists to think about specific requirements for the development of a unified field data collection application. One fundamental step in the development of such an app is the community-based, decision-making process of adopting certain data/metadata standards and conventions. In August of 2014, on a four-day field trip to Yosemite National Park and Owens Valley, we engaged a group of field-based geologists and computer/cognitive scientists to start building a community consensus on these cyberinfrastructure-related issues. Discussing the unique problems of field data recording, conventions, storage, representation, standardization, documentation, and management, while in the field, creates a unique opportunity to address critical issues with regards to advancing the development of cyberinfrastructure for the field-based geosciences while facilitating the combining of our datasets with those of other geoscience subdisciplines.

Acceptability and adoption of handheld computer data collection for public health research in China: a case study.

PubMed

Wan, Xia; Raymond, H Fisher; Wen, Tiancai; Ding, Ding; Wang, Qian; Shin, Sanghyuk S; Yang, Gonghuan; Chai, Wanxing; Zhang, Peng; Novotny, Thomas E

2013-06-26

Handheld computers for data collection (HCDC) and management have become increasingly common in health research. However, current knowledge about the use of HCDC in health research in China is very limited. In this study, we administered a survey to a hard-to-reach population in China using HCDC and assessed the acceptability and adoption of HCDC in China. Handheld computers operating Windows Mobile and Questionnaire Development Studio (QDS) software (Nova Research Company) were used for this survey. Questions on tobacco use and susceptibility were drawn from the Global Adult Tobacco Survey (GATS) and other validated instruments, and these were programmed in Chinese characters by local staff. We conducted a half-day training session for survey supervisors and a three-day training session for 20 interviewers and 9 supervisors. After the training, all trainees completed a self-assessment of their skill level using HCDC. The main study was implemented in fall 2010 in 10 sites, with data managed centrally in Beijing. Study interviewers completed a post-survey evaluation questionnaire on the acceptability and utility of HCDC in survey research. Twenty-nine trainees completed post-training surveys, and 20 interviewers completed post-data collection questionnaires. After training, more than 90% felt confident about their ability to collect survey data using HCDC, to transfer study data from a handheld computer to a laptop, and to encrypt the survey data file. After data collection, 80% of the interviewers thought data collection and management were easy and 60% of staff felt confident they could solve problems they might encounter. Overall, after data collection, nearly 70% of interviewers reported that they would prefer to use handheld computers for future surveys. More than half (55%) felt the HCDC was a particularly useful data collection tool for studies conducted in China. We successfully conducted a health-related survey using HCDC. Using handheld computers for data collection was a feasible, acceptable, and preferred method by Chinese interviewers. Despite minor technical issues that occurred during data collection, HCDC is a promising methodology to be used in survey-based research in China.

If you build it, they will come: unintended future uses of organised health data collections.

PubMed

O'Doherty, Kieran C; Christofides, Emily; Yen, Jeffery; Bentzen, Heidi Beate; Burke, Wylie; Hallowell, Nina; Koenig, Barbara A; Willison, Donald J

2016-09-06

Health research increasingly relies on organized collections of health data and biological samples. There are many types of sample and data collections that are used for health research, though these are collected for many purposes, not all of which are health-related. These collections exist under different jurisdictional and regulatory arrangements and include: 1) Population biobanks, cohort studies, and genome databases 2) Clinical and public health data 3) Direct-to-consumer genetic testing 4) Social media 5) Fitness trackers, health apps, and biometric data sensors Ethical, legal, and social challenges of such collections are well recognized, but there has been limited attention to the broader societal implications of the existence of these collections. Although health research conducted using these collections is broadly recognized as beneficent, secondary uses of these data and samples may be controversial. We examine both documented and hypothetical scenarios of secondary uses of health data and samples. In particular, we focus on the use of health data for purposes of: Forensic investigations Civil lawsuits Identification of victims of mass casualty events Denial of entry for border security and immigration Making health resource rationing decisions Facilitating human rights abuses in autocratic regimes Current safeguards relating to the use of health data and samples include research ethics oversight and privacy laws. These safeguards have a strong focus on informed consent and anonymization, which are aimed at the protection of the individual research subject. They are not intended to address broader societal implications of health data and sample collections. As such, existing arrangements are insufficient to protect against subversion of health databases for non-sanctioned secondary uses, or to provide guidance for reasonable but controversial secondary uses. We are concerned that existing debate in the scholarly literature and beyond has not sufficiently recognized the secondary data uses we outline in this paper. Our main purpose, therefore, is to raise awareness of the potential for unforeseen and unintended consequences, in particular negative consequences, of the increased availability and development of health data collections for research, by providing a comprehensive review of documented and hypothetical non-health research uses of such data.

A concept of a MIABIS based register of biosample collections at the Medical University of Innsbruck.

PubMed

Hofer, Philipp; Fiegl, Heidi; Angerer, Justina; Mueller-Holzner, Elisabeth; Chamson, Martina; Klocker, Helmut; Steiner, Eberhardt; Hauffe, Helga; Zschocke, Johannes; Goebel, Georg

2014-01-01

The knowledge about the quality of samples and associated clinical data in biospecimen collections is a premise of clinical research. An electronic biosample register aims to facilitate the discovery of information about biosample collections in a hospital. Moreover, it might improve scientific collaboration and research quality through a shared access to harmonized sample collection description data. The aim of this paper is to present a concept of a web-based biosample register of the existing biosample collections at the Medical University of Innsbruck. A uniform description model is built based on an analysis of the sample collection data of independent sample management systems from two departments within the hospital. An extended set of attributes of the minimum dataset used by the Swedish sample collection register (MIABIS) has been applied to all biosample collections as a common description model. The results of the analysis and the data model are presented together with a first concept of a sample collection search register.

Hand Gesture Data Collection Procedure Using a Myo Armband for Machine Learning

DTIC Science & Technology

2015-09-01

instructions, searching existing data sources , gathering and maintaining the data needed, and completing and reviewing the collection information...data using a Myo armband. The source code for this work is included as an Appendix. 15. SUBJECT TERMS Myo, Machine Learning, Classifier, Data...development in multiple platfonns (e.g., Windows, iOS, Android , etc.) and many languages (e.g. , Java, C++, C#, Lua, etc.). For the data collection

15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 15 Commerce and Foreign Trade 3 2013-01-01 2013-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 15 Commerce and Foreign Trade 3 2014-01-01 2014-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 15 Commerce and Foreign Trade 3 2011-01-01 2011-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 15 Commerce and Foreign Trade 3 2012-01-01 2012-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

Manual for adjustment and handling of platforms for data collection via satellite (CDCP)

NASA Technical Reports Server (NTRS)

Handal, O. B.

1977-01-01

The LANDSAT and GOES data collection systems are described as well as the components of their convertible data collection platforms (CDCP). Methods are given for coding platform data, adjusting input, and operating both the LANDSAT and the GOES system. A glossary of terms is included with a bibliography.

77 FR 40077 - Agency Information Collection Activities: Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-06

... Project: Treatment Episode Data Set (TEDS)--New The Treatment Episode Data Set (TEDS) is a compilation of client- level substance abuse treatment admission and discharge data submitted by States on clients... approved as part of the DASIS data collection (OMB No. 0930-0106). SAMHSA is now requesting OMB approval...

Creating an iPhone Application for Collecting Continuous ABC Data

ERIC Educational Resources Information Center

Whiting, Seth W.; Dixon, Mark R.

2012-01-01

This paper provides an overview and task analysis for creating a continuous ABC data- collection application using Xcode on a Mac computer. Behavior analysts can program an ABC data collection system, complete with a customized list of target clients, antecedents, behaviors, and consequences to be recorded, and have the data automatically sent to…

Investigating Reported Data Practices in Early Childhood: An Exploratory Study

ERIC Educational Resources Information Center

Brawley, Susan; Stormont, Melissa A.

2014-01-01

The importance of collecting and using data for educational decision making is clear. However, little information has been gathered about the systematic collection and use of data in early childhood. The purpose of this study was to explore teacher perceptions of data collection practices in early childhood. Participants included 137 early…

Factors Influencing BI Data Collection Strategies: An Empirical Investigation

ERIC Educational Resources Information Center

Ramakrishnan, Thiagarajan

2010-01-01

The purpose of this dissertation is to examine the external factors that influence an organizations' business intelligence (BI) data collection strategy when mediated by BI attributes. In this dissertation, data warehousing strategies are used as the basis on which to frame the exploration of BI data collection strategies. The attributes include…

44 CFR 67.7 - Collection of appeal data.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 44 Emergency Management and Assistance 1 2013-10-01 2013-10-01 false Collection of appeal data. 67... PROPOSED FLOOD ELEVATION DETERMINATIONS § 67.7 Collection of appeal data. (a) Appeals by private persons to... he may publicly designate and shall set forth scientific or technical data that tend to negate or...

Sub aquatic 3D visualization and temporal analysis utilizing ArcGIS online and 3D applications

EPA Science Inventory

We used 3D Visualization tools to illustrate some complex water quality data we’ve been collecting in the Great Lakes. These data include continuous tow data collected from our research vessel the Lake Explorer II, and continuous water quality data collected from an autono...

15 CFR 911.7 - Continuation of the NOAA Data Collection Systems.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Continuation of the NOAA Data... REGULATIONS POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.7 Continuation of the NOAA Data Collection Systems. (a) NOAA expects to continue to operate DCS on its...

44 CFR 67.7 - Collection of appeal data.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 44 Emergency Management and Assistance 1 2010-10-01 2010-10-01 false Collection of appeal data. 67... PROPOSED FLOOD ELEVATION DETERMINATIONS § 67.7 Collection of appeal data. (a) Appeals by private persons to... he may publicly designate and shall set forth scientific or technical data that tend to negate or...

Crowd-Sourced Amputee Gait Data: A Feasibility Study Using YouTube Videos of Unilateral Trans-Femoral Gait.

PubMed

Gardiner, James; Gunarathne, Nuwan; Howard, David; Kenney, Laurence

2016-01-01

Collecting large datasets of amputee gait data is notoriously difficult. Additionally, collecting data on less prevalent amputations or on gait activities other than level walking and running on hard surfaces is rarely attempted. However, with the wealth of user-generated content on the Internet, the scope for collecting amputee gait data from alternative sources other than traditional gait labs is intriguing. Here we investigate the potential of YouTube videos to provide gait data on amputee walking. We use an example dataset of trans-femoral amputees level walking at self-selected speeds to collect temporal gait parameters and calculate gait asymmetry. We compare our YouTube data with typical literature values, and show that our methodology produces results that are highly comparable to data collected in a traditional manner. The similarity between the results of our novel methodology and literature values lends confidence to our technique. Nevertheless, clear challenges with the collection and interpretation of crowd-sourced gait data remain, including long term access to datasets, and a lack of validity and reliability studies in this area.

Crowd-Sourced Amputee Gait Data: A Feasibility Study Using YouTube Videos of Unilateral Trans-Femoral Gait

PubMed Central

Gardiner, James; Gunarathne, Nuwan; Howard, David; Kenney, Laurence

2016-01-01

Collecting large datasets of amputee gait data is notoriously difficult. Additionally, collecting data on less prevalent amputations or on gait activities other than level walking and running on hard surfaces is rarely attempted. However, with the wealth of user-generated content on the Internet, the scope for collecting amputee gait data from alternative sources other than traditional gait labs is intriguing. Here we investigate the potential of YouTube videos to provide gait data on amputee walking. We use an example dataset of trans-femoral amputees level walking at self-selected speeds to collect temporal gait parameters and calculate gait asymmetry. We compare our YouTube data with typical literature values, and show that our methodology produces results that are highly comparable to data collected in a traditional manner. The similarity between the results of our novel methodology and literature values lends confidence to our technique. Nevertheless, clear challenges with the collection and interpretation of crowd-sourced gait data remain, including long term access to datasets, and a lack of validity and reliability studies in this area. PMID:27764226

A satellite based telemetry link for a UAV application

NASA Technical Reports Server (NTRS)

Bloise, Anthony

1995-01-01

The requirements for a satellite based communication facility to service the needs of the Geographical Information System (GIS) data collection community are addressed in this paper. GIS data is supplied in the form of video imagery at sub-television rates in one or more spectral bands / polarizations laced with a position correlated data stream. The limitations and vicissitudes of using a terrestrial based telecommunications link to collect GIS data are illustrated from actual mission scenarios. The expectations from a satellite based communications link by the geophysical data collection community concerning satellite architecture, operating bands, bandwidth, footprint agility, up link and down link hardware configurations on the UAV, the Mobile Control Vehicle and at the Central Command and Data Collection Facility comprise the principle issues discussed in the first section of this paper. The final section of the paper discusses satellite based communication links would have an increased volume and scope of services the GIS data collection community could make available to the GIS user community, and the price the data collection community could afford to pay for access to the communication satellite described in the paper.

Privacy Impact Assessment for the External Compliance Program Discrimination Complaint Files

EPA Pesticide Factsheets

The External Compliance Program Discrimination Complaint Files System collects information on administrative complaints. Learn how this data will be collected in the system, how it will be used, access to the data, and the purpose of data collection.

Privacy Impact Assessment for the Registration and Tracking System for SunWise

EPA Pesticide Factsheets

The Registration and Tracking System for SunWise collects contact information and demographics about each educator. Learn how this data is collected, used, access to the data, the purpose of data collection, and record retention policies.

Privacy Impact Assessment for the Integrated Contracts Management System

EPA Pesticide Factsheets

The Integrated Contracts Management System collects contact information and other Personally Identifiable Information (PII). Learn how this data will be collected in the system, how it will be used, access to the data, and the purpose of data collection.

Collection of Calibration and Validation Data for An Airport Landside Dynamic Simulation Model

DOT National Transportation Integrated Search

1980-04-01

The report summarizes the airport data collection procedures employed to obtain the necessary calibration and validation information. The preparation for the data collection effort is explained. A description is presented of the initial work tasks, w...

Wireless data collection system for real-time arterial travel time estimates.

DOT National Transportation Integrated Search

2011-03-01

This project pursued several objectives conducive to the implementation and testing of a Bluetooth (BT) based system to collect travel time data, including the deployment of a BT-based travel time data collection system to perform comprehensive testi...

CTEPP STANDARD OPERATING PROCEDURE FOR RECORDING DATA COLLECTION FORMS (SOP-2.22)

EPA Science Inventory

This SOP describes the method for recording information onto the data collection forms. The data collection forms are organized into 10 modules: Recruitment Survey; House/Building Characteristics Observation Survey; Day Care Center/Building Characteristics Observation Survey; Par...

Privacy Impact Assessment for the Inspector General Enterprise Management System

EPA Pesticide Factsheets

This system collects personally identifiable information (PII), including social security numbers, date of birth, etc. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Privacy Impact Assessment for the Enforcement Superfund Tracking System

EPA Pesticide Factsheets

This Enforcement Superfund Tracking System (ESTS) collects publicly available information from the California Secretary of State on businesses. Learn how this data is collected, how it will be used, access to the data, and the purpose of data collection.

Systematic review of discharge coding accuracy

PubMed Central

Burns, E.M.; Rigby, E.; Mamidanna, R.; Bottle, A.; Aylin, P.; Ziprin, P.; Faiz, O.D.

2012-01-01

Introduction Routinely collected data sets are increasingly used for research, financial reimbursement and health service planning. High quality data are necessary for reliable analysis. This study aims to assess the published accuracy of routinely collected data sets in Great Britain. Methods Systematic searches of the EMBASE, PUBMED, OVID and Cochrane databases were performed from 1989 to present using defined search terms. Included studies were those that compared routinely collected data sets with case or operative note review and those that compared routinely collected data with clinical registries. Results Thirty-two studies were included. Twenty-five studies compared routinely collected data with case or operation notes. Seven studies compared routinely collected data with clinical registries. The overall median accuracy (routinely collected data sets versus case notes) was 83.2% (IQR: 67.3–92.1%). The median diagnostic accuracy was 80.3% (IQR: 63.3–94.1%) with a median procedure accuracy of 84.2% (IQR: 68.7–88.7%). There was considerable variation in accuracy rates between studies (50.5–97.8%). Since the 2002 introduction of Payment by Results, accuracy has improved in some respects, for example primary diagnoses accuracy has improved from 73.8% (IQR: 59.3–92.1%) to 96.0% (IQR: 89.3–96.3), P= 0.020. Conclusion Accuracy rates are improving. Current levels of reported accuracy suggest that routinely collected data are sufficiently robust to support their use for research and managerial decision-making. PMID:21795302

Prospects for the Comparative Study of International Migration using quasi-longitudinal micro-data

PubMed Central

Liu, Mao-Mei; Creighton, Mathew J.; Riosmena, Fernando; Baizán Mun͂oz, Pau

2017-01-01

BACKGROUND Longitudinal micro-level data about international migration behavior are notoriously difficult to collect, but data collection efforts have become more frequent in recent years. Comparative research of the patterns and processes of international migration, however, remains quite rare, especially that which compares across regions. OBJECTIVE We highlight the promises and difficulties of comparative international migration research, by offering a detailed comparison of two prominent data collection efforts. METHODS We systematically review existing sources of longitudinal and quasi-longitudinal individual-level and household-level data of international migration. We then compare two widely-used data sources: the Mexican Migration Project (MMP) and the Migration between Africa and Europe project (MAFE). RESULTS Data collection efforts are increasingly diverse, yet public accessibility of data remains limited. Also, comparability of data collected across settings can be complicated. In our MMP-MAFE analysis, we show some ways in which comparability can be achieved. CONCLUSIONS A primary roadblock to international comparative research is that, with some exceptions, the public accessibility of data remains low. Even when data is public and surveys are modeled after one another, comparability is not easy due to necessary trade-offs in adapting surveys to local settings and to developments in the field. CONTRIBUTION We demonstrate that, despite great strides in collecting quasi-longitudinal data of international migration, data accessibility still hinders the study of migration. With regards to comparability, our article provides important lessons for future data collection and analysis efforts that could improve comparability and thus advance understanding of the complex dynamics of international migration. PMID:29276429

Integrating Time-Synchronized Video with Other Geospatial and Temporal Data for Remote Science Operations

NASA Technical Reports Server (NTRS)

Cohen, Tamar E.; Lees, David S.; Deans, Matthew C.; Lim, Darlene S. S.; Lee, Yeon Jin Grace

2018-01-01

Exploration Ground Data Systems (xGDS) supports rapid scientific decision making by synchronizing video in context with map, instrument data visualization, geo-located notes and any other collected data. xGDS is an open source web-based software suite developed at NASA Ames Research Center to support remote science operations in analog missions and prototype solutions for remote planetary exploration. (See Appendix B) Typical video systems are designed to play or stream video only, independent of other data collected in the context of the video. Providing customizable displays for monitoring live video and data as well as replaying recorded video and data helps end users build up a rich situational awareness. xGDS was designed to support remote field exploration with unreliable networks. Commercial digital recording systems operate under the assumption that there is a stable and reliable network between the source of the video and the recording system. In many field deployments and space exploration scenarios, this is not the case - there are both anticipated and unexpected network losses. xGDS' Video Module handles these interruptions, storing the available video, organizing and characterizing the dropouts, and presenting the video for streaming or replay to the end user including visualization of the dropouts. Scientific instruments often require custom or expensive software to analyze and visualize collected data. This limits the speed at which the data can be visualized and limits access to the data to those users with the software. xGDS' Instrument Module integrates with instruments that collect and broadcast data in a single snapshot or that continually collect and broadcast a stream of data. While seeing a visualization of collected instrument data is informative, showing the context for the collected data, other data collected nearby along with events indicating current status helps remote science teams build a better understanding of the environment. Further, sharing geo-located, tagged notes recorded by the scientists and others on the team spurs deeper analysis of the data.

Satellite data-relay activities in Arizona

USGS Publications Warehouse

Boner, F.C.; Blee, J.W.; Shope, W.G.

1985-01-01

The U.S. Geological Survey (USGS) Arizona District collects data from automated streamflow stations for a wide variety of uses. Data from these stations are provided to Federal, State, and local agencies that have a responsibility to issue flood warnings; to generate forecasts of water availability; to monitor flow to insure compliance with treaties and other legal mandates; and to manage reservoirs for hydropower, flood abatement, and municipal and irrigation water supply. In the mid-1970's, the escalation of data collection costs and a need for more timely data led the Arizona District to examine alternatives for remote data acquisition. On the basis of successful data communications experiments with NASA 's Landsat satellite, an operational system for satellite-data relay was developed in 1976 using the National Oceanic and Atmospheric Administrations 's (NOAA) Geostationary Operational Environmental Satellite (GOES). A total of 62 data collection platforms (DCP's) was operated in 1983. Satellite telemetry operations are controlled at the remote data-collection stations by small battery-operated data collection platforms. The DCP 's periodically collect data from the sensors, store the data in computer memory, and at preset times transmit the data to the GOES satellite. The satellite retransmits the data to Earth where a ground-receive station transmits or transfers the data by land communications to the USGS computer in Reston, Virginia, for processing. The satellite relay transfers the data from sensor to computer in minutes; therefore, the data are available to users on a near real-time basis. (Author 's abstract)

Data on introduced plants in Zimbabwe: Floristic changes and patterns of collection based on historical herbarium records.

PubMed

Maroyi, Alfred

2017-12-01

National herbaria with significant historical plant collections are critical to tracking floristic changes and patterns, which include the introduction and spread of non-native plant species. To explore the importance of herbarium specimen data in understanding floristic changes in Zimbabwe, the plant collections housed by the National Herbarium (SRGH) in Harare, Zimbabwe were utilized with historical specimens dating back to 1870. A list of naturalised plant taxa and collection data were compiled. A total of 2916 plant specimens were recorded, comprising of 401 taxa, 237 genera and 76 plant families. Twenty eight specimens (1.0%) were collected between 1870 and 1908, prior to the establishment of the National Herbarium in 1909 and 123 specimens (4.2%) were collected in the first 25 years of the establishment of the institute (1909-1934). Intensive collection of herbarium specimens of casual, naturalised and invasive alien plant species occurred between 1950 and 1970. This data demonstrates the utility of plant species data housed in the National Herbaria and how such data can be used to map floristic changes and patterns.

Text recognition and correction for automated data collection by mobile devices

NASA Astrophysics Data System (ADS)

Ozarslan, Suleyman; Eren, P. Erhan

2014-03-01

Participatory sensing is an approach which allows mobile devices such as mobile phones to be used for data collection, analysis and sharing processes by individuals. Data collection is the first and most important part of a participatory sensing system, but it is time consuming for the participants. In this paper, we discuss automatic data collection approaches for reducing the time required for collection, and increasing the amount of collected data. In this context, we explore automated text recognition on images of store receipts which are captured by mobile phone cameras, and the correction of the recognized text. Accordingly, our first goal is to evaluate the performance of the Optical Character Recognition (OCR) method with respect to data collection from store receipt images. Images captured by mobile phones exhibit some typical problems, and common image processing methods cannot handle some of them. Consequently, the second goal is to address these types of problems through our proposed Knowledge Based Correction (KBC) method used in support of the OCR, and also to evaluate the KBC method with respect to the improvement on the accurate recognition rate. Results of the experiments show that the KBC method improves the accurate data recognition rate noticeably.

MultiFacet: A Faceted Interface for Browsing Large Multimedia Collections

DOE Office of Scientific and Technical Information (OSTI.GOV)

Henry, Michael J.; Hampton, Shawn D.; Endert, Alexander

2013-10-31

Faceted browsing is a common technique for exploring collections where the data can be grouped into a number of pre-defined categories, most often generated from textual metadata. Historically, faceted browsing has been applied to a single data type such as text or image data. However, typical collections contain multiple data types, such as information from web pages that contain text, images, and video. Additionally, when browsing a collection of images and video, facets are often created based on the metadata which may be incomplete, inaccurate, or missing altogether instead of the actual visual content contained within those images and video.more » In this work we address these limitations by presenting MultiFacet, a faceted browsing interface that supports multiple data types. MultiFacet constructs facets for images and video in a collection from the visual content using computer vision techniques. These visual facets can then be browsed in conjunction with text facets within a single interface to reveal relationships and phenomena within multimedia collections. Additionally, we present a use case based on real-world data, demonstrating the utility of this approach towards browsing a large multimedia data collection.« less

The Expansion of the Astronomical Photographic Data Archive at PARI

NASA Astrophysics Data System (ADS)

Cline, J. Donald; Barker, Thurburn; Castelaz, Michael

2017-01-01

A diverse set of photometric, astrometric, spectral and surface brightness data exist on decades of photographic glass plates. The Astronomical Photographic Data Archive (APDA) at the Pisgah Astronomical Research Institute (PARI) was established in November 2007 and is dedicated to the task of collecting, restoring, preserving and storing astronomical photographic data and PARI continues to accept collections. APDA is also tasked with scanning each image and establishing a database of images that can be accessed via the Internet by the global community of scientists, researchers and students. APDA is a new type of astronomical observatory - one that harnesses analog data of the night sky taken for more than a century and making that data available in a digital format.In 2016, APDA expanded from 50 collections with about 220,000 plates to more than 55 collections and more than 340,000 plates and films. These account for more than 30% of all astronomical photographic data in the United States. The largest of the new acquisitions are the astronomical photographic plates in the Yale University collection. We present details of the newly added collections and review of other collections in APDA.

Mercury in fish and macroinvertebrates from New York's streams and rivers: A compendium of data sources

USGS Publications Warehouse

Riva-Murray, Karen; Burns, Douglas A.

2016-01-01

The U.S. Geological Survey has compiled a list of existing data sets, from selected sources, containing mercury (Hg) concentration data in fish and macroinvertebrate samples that were collected from flowing waters of New York State from 1970 through 2014. Data sets selected for inclusion in this report were limited to those that contain fish and (or) macroinvertebrate data that were collected across broad areas, cover relatively long time periods, and (or) were collected as part of a broader-scale (e.g. national) study or program. In addition, all data sets listed were collected, processed, and analyzed with documented methods, and contain critical sample information (e.g. fish species, fish size, Hg species) that is needed to analyze and interpret the reported Hg concentration data. Fourteen data sets, all from state or federal agencies, are listed in this report, along with selected descriptive information regarding each data source and data set contents. Together, these 14 data sets contain Hg and related data for more than 7,000 biological samples collected from more than 700 unique stream and river locations between 1970 and 2014.

75 FR 49494 - Agency Information Collection Activities: Submission for OMB Review; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-13

... currently approved collection; Title of Information Collection: Data Collection for the Nursing Home Value... incentives to improve the quality of care in nursing homes. The main purpose of the NHVBP data collection effort is to gather information that will enable CMS to determine which nursing homes will be eligible to...

75 FR 76473 - Agency Information Collection Activities: Proposed Collection: Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-12-08

... technology. Proposed Project: Data Collection Tool for Rural Health Community-Based Grant Programs (OMB No... based on the feedback received from grantees and to reflect ORHP and HRSA's current priorities and... collection and analysis in an effort to strengthen the value of the data collection tool. There are currently...

Faster, efficient and secure collection of research images: the utilization of cloud technology to expand the OMI-DB

NASA Astrophysics Data System (ADS)

Patel, M. N.; Young, K.; Halling-Brown, M. D.

2018-03-01

The demand for medical images for research is ever increasing owing to the rapid rise in novel machine learning approaches for early detection and diagnosis. The OPTIMAM Medical Image Database (OMI-DB)1,2 was created to provide a centralized, fully annotated dataset for research. The database contains both processed and unprocessed images, associated data, annotations and expert-determined ground truths. Since the inception of the database in early 2011, the volume of images and associated data collected has dramatically increased owing to automation of the collection pipeline and inclusion of new sites. Currently, these data are stored at each respective collection site and synced periodically to a central store. This leads to a large data footprint at each site, requiring large physical onsite storage, which is expensive. Here, we propose an update to the OMI-DB collection system, whereby the storage of all the data is automatically transferred to the cloud on collection. This change in the data collection paradigm reduces the reliance of physical servers at each site; allows greater scope for future expansion; and removes the need for dedicated backups and improves security. Moreover, with the number of applications to access the data increasing rapidly with the maturity of the dataset cloud technology facilities faster sharing of data and better auditing of data access. Such updates, although may sound trivial; require substantial modification to the existing pipeline to ensure data integrity and security compliance. Here, we describe the extensions to the OMI-DB collection pipeline and discuss the relative merits of the new system.

Online information system for data collection of cattle quality

NASA Astrophysics Data System (ADS)

Sugiharti, E.; Arifudin, R.; Putra, A. T.

2018-03-01

Innovation and development of the science and technology which proclaimed by the government through Ristekdikti need to be supported. On the other hand, the Department of Animal Husbandry and Fisheries began introducing the Cattle Card system that contains the identity of each farm animal. Therefore, UNNES especially the Department of Computer Science of FMIPA UNNES, need to give positive contribution in the field of Science and Technology to support the manual system of Cattle Card, through the preparation of prototype of the online information system of data collection of cattle in Semarang regency. The main problem is how to monitor the data of cattle quality through online information system in Semarang regency? The purpose of this research is to produce the prototype of an online information system for data collection of cattle quality in Semarang regency. Main activities: (1) Prepare the flowchart of an online system for data collection of cattle quality. (2) Collecting data to obtain data on identity descriptions of each cattle, owners, mutation records, and health records of livestock cattle. (3) Creation of the prototype of an online information system for data collection of cattle quality in Semarang Regency. The results, (1) had been produced the prototype of an online information system for data collection of cattle in the region of Semarang regency. (2) Socialization of the online information system for cattle quality data collection and exploring input from various related stakeholders. (3) There had been a limited trial of prototypes of the system in Pabelan district in the working area of the Department of Animal Husbandry and Fisheries of Semarang regency and succeeded well.

Participating in an International Stereotactic Radiotherapy Patient Registry: The Establishment of Data Collection Pathways.

PubMed

Yahya, Aylin; Arneric, Eva; Kernutt, Elizabeth; Baldacchino, Fiona; Haworth, Claire; Kedda, Mary-Anne; Tang, Colin; Bydder, Sean; Corica, Tammy

2017-06-29

Aim To describe data collection pathways and practical challenges experienced by an academic comprehensive cancer centre aiming to record clinical data for patients being treated with a novel radiotherapy treatment modality. Methods Various options to capture data from all patients treated with the CyberKnife Robotic Radiosurgery System at Sir Charles Gairdner Hospital (SCGH) in Western Australia were explored. An international multicenter web-based secure database established and maintained by the Radiosurgery Society the RSSearch® Patient Registry was selected. Data were collected and entered over four contiguous phases, with either opt-in or opt-out consent and the completion of Patient Reported Outcome questionnaires for specific sub-groups. Results Between April 2014 and June 2016, 461 patients at Sir Charles Gairdner Hospital were enrolled in the RSSearch® Patient Registry with the collection of over 17,500 data items. From 461 patients enrolled, 447 patients were treated with the CyberKnife Robotic Radiosurgery System. The majority of patients were treated for either a malignant primary (43.2%) or metastatic disease (39.4%). The establishment of matrix organisational processes for data collection led to the development of improved workflow patterns and data collection pathways. Conclusions This article describes the processes developed by a single centre to establish an efficient system for data collection and participation in an international registry. The opt-out approach was more efficient in terms of patient recruitment compared to the informed-consent method used in earlier phases. The experience of this single centre may help inform other institutions considering data collection options for assessments of new or novel treatments.

77 FR 37402 - Data Specifications for Collecting Study Area Boundaries

Federal Register 2010, 2011, 2012, 2013, 2014

2012-06-21

... for Collecting Study Area Boundaries AGENCY: Federal Communications Commission. ACTION: Notice... specifications for collecting study area boundaries for purposes of implementing various reforms adopted as part..., the Wireline Competition Bureau (Bureau) proposes data specifications for collecting study area...

Summary for 1996 LTPP traffic data collection : annual summary.

DOT National Transportation Integrated Search

1997-06-01

In 1996 the Research Unit continued to collect traffic data for the Long Term Pavement Performance Program, hereinafter referred to as the LTPP program. The LTPP program is essentially comprised of on-site computers that apply collected data to an al...

Privacy Impact Assessment for the Federal Docket Management System

EPA Pesticide Factsheets

This system collects the name and contact information for users who submit comments, in addition to agency users. Learn how the data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Privacy Impact Assessment for the Lead-based Paint System of Records

EPA Pesticide Factsheets

The Lead-based Paint System of Records collects personally identifiable information, test scores, and submitted fees. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Privacy Impact Assessment for the Medical and Research Study Records of Human Volunteers

EPA Pesticide Factsheets

The Medical & Research Study Records of Human Volunteers System collects demographic and medical information on subjects who participate in research. Learn how this data is collected, used, access to the data, and the purpose of data collection.

Privacy Impact Assessment for the Las Vegas Finance Center Local Area Network

EPA Pesticide Factsheets

This system collects contact information and other Personally Identifiable Information (PII). Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

iCollections - Digitising the British and Irish Butterflies in the Natural History Museum, London.

PubMed

Paterson, Gordon; Albuquerque, Sara; Blagoderov, Vladimir; Brooks, Stephen; Cafferty, Steve; Cane, Elisa; Carter, Victoria; Chainey, John; Crowther, Robyn; Douglas, Lyndsey; Durant, Joanna; Duffell, Liz; Hine, Adrian; Honey, Martin; Huertas, Blanca; Howard, Theresa; Huxley, Rob; Kitching, Ian; Ledger, Sophie; McLaughlin, Caitlin; Martin, Geoff; Mazzetta, Gerardo; Penn, Malcolm; Perera, Jasmin; Sadka, Mike; Scialabba, Elisabetta; Self, Angela; Siebert, Darrell J; Sleep, Chris; Toloni, Flavia; Wing, Peter

2016-01-01

The Natural History Museum, London (NHMUK) has embarked on an ambitious programme to digitise its collections . The first phase of this programme has been to undertake a series of pilot projects that will develop the necessary workflows and infrastructure development needed to support mass digitisation of very large scientific collections. This paper presents the results of one of the pilot projects - iCollections. This project digitised all the lepidopteran specimens usually considered as butterflies, 181,545 specimens representing 89 species from the British Isles and Ireland. The data digitised includes, species name, georeferenced location, collector and collection date - the what, where, who and when of specimen data. In addition, a digital image of each specimen was taken. This paper explains the way the data were obtained and the background to the collections which made up the project. Specimen-level data associated with British and Irish butterfly specimens have not been available before and the iCollections project has released this valuable resource through the NHM data portal.

An Intelligent Tool for Activity Data Collection

PubMed Central

Jehad Sarkar, A. M.

2011-01-01

Activity recognition systems using simple and ubiquitous sensors require a large variety of real-world sensor data for not only evaluating their performance but also training the systems for better functioning. However, a tremendous amount of effort is required to setup an environment for collecting such data. For example, expertise and resources are needed to design and install the sensors, controllers, network components, and middleware just to perform basic data collections. It is therefore desirable to have a data collection method that is inexpensive, flexible, user-friendly, and capable of providing large and diverse activity datasets. In this paper, we propose an intelligent activity data collection tool which has the ability to provide such datasets inexpensively without physically deploying the testbeds. It can be used as an inexpensive and alternative technique to collect human activity data. The tool provides a set of web interfaces to create a web-based activity data collection environment. It also provides a web-based experience sampling tool to take the user’s activity input. The tool generates an activity log using its activity knowledge and the user-given inputs. The activity knowledge is mined from the web. We have performed two experiments to validate the tool’s performance in producing reliable datasets. PMID:22163832

Collation of earth resources data collected by ERIM airborne sensors

NASA Technical Reports Server (NTRS)

Hasell, P. G., Jr.

1975-01-01

Earth resources imagery from nine years of data collection with developmental airborne sensors is cataloged for reference. The imaging sensors include single and multiband line scanners and side-looking radars. The operating wavelengths of the sensors include ultraviolet, visible and infrared band scanners, and X- and L-band radar. Imagery from all bands (radar and scanner) were collected at some sites and many sites had repeated coverage. The multiband scanner data was radiometrically calibrated. Illustrations show how the data can be used in earth resource investigations. References are made to published reports which have made use of the data in completed investigations. Data collection sponsors are identified and a procedure described for gaining access to the data.

The collection of clear-water contraction and abutment scour data at selected bridge sites in the coastal plain and piedmont of South Carolina

USGS Publications Warehouse

Benedict, Stephen T.; Caldwell, Andy W.; Edited by Abt, S. R. and others

1998-01-01

Clear-water contraction and abutment scour data were collected at 128 bridge sites in South Carolina. In the sandy soils of the Coastal Plain, clear-water-scour data were collected at 63 sites (scour depths ranged from 0.4 to 7.2 meters.) In the clayey soils of the Piedmont, clear-water-scour data were collected at 47 sites (scour depths ranged from 0 to 1.4 meters.) In the sandy, clayey soils of the Piedmont, clear-water-scour data were collected at 18 sites (scour depths ranged from 0.9 to 5.5 meters.) The field data are to be compiled into a data base that will include bridge age; basin, soil and hydraulic characteristics; and theoretical scour data. The data are planned to be statistically analyzed for significant relations that may help explain and (or) predict maximum scour depths at bridges in South Carolina.

Enhancing Hydrological Data Collection Network, Inspiring Research and Appreciation of the Value of Water in Low Income Countries through School Education

NASA Astrophysics Data System (ADS)

Azhoni, A.; Holman, I.; Jude, S.

2014-12-01

Although there are about 2100 rain gauges all over India only monthly rainfall data are made available to the public due to various reasons. Poor data collection network and difficulty to access the data, lack of motivation and dedication on the part of the data collection and monitoring agencies and lack of appreciation of the cost of water by the general public were identified to be key barriers to effective management of water in a low income country like India through the literature review and interview with twenty-four key stakeholder institutions that deals directly or indirectly with water in India. One of the solutions to this challenge could be to crowdsource the collection of rainfall, humidity and temperature data to at least one school each in every district of the about 675 districts in the country. The data could be uploaded to a single website either through text messages or internet under the supervision of a school teacher on a daily basis. The data collected could be accessed by researchers and decision makers in cases of emergencies like floods and droughts. Besides improving the data collection and quick dissemination of data this could motivate school children to value their laboratory practices as they can see the immediate benefits of their sincere laboratory works and at the same time motivate the larger community to value water and the impact of quality data. The same could be applied for prevention of water quality related epidemics if water quality data and healthcare data can be simultaneously collected and correlated.

Three-dimensional rotation electron diffraction: software RED for automated data collection and data processing

PubMed Central

Wan, Wei; Sun, Junliang; Su, Jie; Hovmöller, Sven; Zou, Xiaodong

2013-01-01

Implementation of a computer program package for automated collection and processing of rotation electron diffraction (RED) data is described. The software package contains two computer programs: RED data collection and RED data processing. The RED data collection program controls the transmission electron microscope and the camera. Electron beam tilts at a fine step (0.05–0.20°) are combined with goniometer tilts at a coarse step (2.0–3.0°) around a common tilt axis, which allows a fine relative tilt to be achieved between the electron beam and the crystal in a large tilt range. An electron diffraction (ED) frame is collected at each combination of beam tilt and goniometer tilt. The RED data processing program processes three-dimensional ED data generated by the RED data collection program or by other approaches. It includes shift correction of the ED frames, peak hunting for diffraction spots in individual ED frames and identification of these diffraction spots as reflections in three dimensions. Unit-cell parameters are determined from the positions of reflections in three-dimensional reciprocal space. All reflections are indexed, and finally a list with hkl indices and intensities is output. The data processing program also includes a visualizer to view and analyse three-dimensional reciprocal lattices reconstructed from the ED frames. Details of the implementation are described. Data collection and data processing with the software RED are demonstrated using a calcined zeolite sample, silicalite-1. The structure of the calcined silicalite-1, with 72 unique atoms, could be solved from the RED data by routine direct methods. PMID:24282334

Three-dimensional rotation electron diffraction: software RED for automated data collection and data processing.

PubMed

Wan, Wei; Sun, Junliang; Su, Jie; Hovmöller, Sven; Zou, Xiaodong

2013-12-01

Implementation of a computer program package for automated collection and processing of rotation electron diffraction (RED) data is described. The software package contains two computer programs: RED data collection and RED data processing. The RED data collection program controls the transmission electron microscope and the camera. Electron beam tilts at a fine step (0.05-0.20°) are combined with goniometer tilts at a coarse step (2.0-3.0°) around a common tilt axis, which allows a fine relative tilt to be achieved between the electron beam and the crystal in a large tilt range. An electron diffraction (ED) frame is collected at each combination of beam tilt and goniometer tilt. The RED data processing program processes three-dimensional ED data generated by the RED data collection program or by other approaches. It includes shift correction of the ED frames, peak hunting for diffraction spots in individual ED frames and identification of these diffraction spots as reflections in three dimensions. Unit-cell parameters are determined from the positions of reflections in three-dimensional reciprocal space. All reflections are indexed, and finally a list with hkl indices and intensities is output. The data processing program also includes a visualizer to view and analyse three-dimensional reciprocal lattices reconstructed from the ED frames. Details of the implementation are described. Data collection and data processing with the software RED are demonstrated using a calcined zeolite sample, silicalite-1. The structure of the calcined silicalite-1, with 72 unique atoms, could be solved from the RED data by routine direct methods.

Influence of data collection schemes on the Life Cycle Assessment of a municipal wastewater treatment plant.

PubMed

Yoshida, Hiroko; Clavreul, Julie; Scheutz, Charlotte; Christensen, Thomas H

2014-06-01

A Life Cycle Assessment (LCA) of a municipal wastewater treatment plant (WWTP) was conducted to illustrate the effect of an emission inventory data collection scheme on the outcomes of an environmental impact assessment. Due to their burden in respect to data collection, LCAs often rely heavily on existing emission and operational data, which are gathered under either compulsory monitoring or reporting requirements under law. In this study, an LCA was conducted using three input data sources: Information compiled under compulsory disclosure requirements (the European Pollutant Release and Transfer Registry), compliance with national discharge limits, and a state-of-the-art emission data collection scheme conducted at the same WWTP. Parameter uncertainty for each collection scheme was assessed through Monte Carlo simulation. The comparison of the results confirmed that LCA results depend heavily on input data coverage. Due to the threshold on reporting value, the E-PRTR did not capture the impact for particulate matter emission, terrestrial acidification, or terrestrial eutrophication. While the current practice can capture more than 90% of non-carcinogenic human toxicity and marine eutrophication, an LCA based on the data collection scheme underestimates impact potential due to limitations of substance coverage. Besides differences between data collection schemes, the results showed that 3-13,500% of the impacts came from background systems, such as from the provisioning of fuel, electricity, and chemicals, which do not need to be disclosed currently under E-PRTR. The incidental release of pollutants was also assessed by employing a scenario-based approach, the results of which demonstrated that these non-routine emissions could increase overall WWTP greenhouse gas emissions by between 113 and 210%. Overall, current data collection schemes have the potential to provide standardized data collection and form the basis for a sound environmental impact assessment, but several improvements are recommended, including the additional collection of energy and chemical usage data, the elimination of a reporting threshold, the expansion of substance coverage, and the inclusion of non-point fugitive gas emissions. Copyright © 2014 Elsevier Ltd. All rights reserved.

A Mobile Computing Solution for Collecting Functional Analysis Data on a Pocket PC

PubMed Central

Jackson, James; Dixon, Mark R

2007-01-01

The present paper provides a task analysis for creating a computerized data system using a Pocket PC and Microsoft Visual Basic. With Visual Basic software and any handheld device running the Windows Moble operating system, this task analysis will allow behavior analysts to program and customize their own functional analysis data-collection system. The program will allow the user to select the type of behavior to be recorded, choose between interval and frequency data collection, and summarize data for graphing and analysis. We also provide suggestions for customizing the data-collection system for idiosyncratic research and clinical needs. PMID:17624078

Moving to patient reported collection of race and ethnicity data: implementation and impact in ten hospitals.

PubMed

Berry, Carolyn; Kaplan, Sue A; Mijanovich, Tod; Mayer, Andrea

2014-01-01

The purpose of this paper is to examine the feasibility of collecting standardized, patient reported race and ethnicity (RE) data in hospitals, and to assess the impact on data quality and utility. Part of a larger evaluation that included a comprehensive assessment. Sites documented RE data collection procedures before and after program implementation. Primary data collected through qualitative interviewing with key respondents in ten hospitals to assess implementation. Nine hospitals provided RE data on the same patients before and after implementation new data collection procedures were implemented to assess impact. Implementation went smoothly in nine of ten hospitals and had substantial effects on the hospital staff awareness on the potential for disparities within their hospitals. New procedures had minimal impact on characterization of readmitted patients. This study demonstrated that it is feasible for staff in a diverse group of hospitals to implement systematic, internally standardized methods to collect self-reported RE data from patients. Although this study found little impact patients' demographic characterizations, other benefits included greater awareness of and attention to disparities, uncovering small pockets of minorities, and dramatically increased RE data use in quality improvement efforts.

An exploration of the data collection methods utilised with children, teenagers and young people (CTYPs).

PubMed

Flanagan, Sarah M; Greenfield, Sheila; Coad, Jane; Neilson, Susan

2015-03-01

The impact of cancer upon children, teenagers and young people can be profound. Research has been undertaken to explore the impacts upon children, teenagers and young people with cancer, but little is known about how researchers can 'best' engage with this group to explore their experiences. This review paper provides an overview of the utility of data collection methods employed when undertaking research with children, teenagers and young people. A systematic review of relevant databases was undertaken utilising the search terms 'young people', 'young adult', 'adolescent' and 'data collection methods'. The full-text of the papers that were deemed eligible from the title and abstract were accessed and following discussion within the research team, thirty papers were included. Due to the heterogeneity in terms of the scope of the papers identified the following data collections methods were included in the results section. Three of the papers identified provided an overview of data collection methods utilised with this population and the remaining twenty seven papers covered the following data collection methods: Digital technologies; art based research; comparing the use of 'paper and pencil' research with web-based technologies, the use of games; the use of a specific communication tool; questionnaires and interviews; focus groups and telephone interviews/questionnaires. The strengths and limitations of the range of data collection methods included are discussed drawing upon such issues as of the appropriateness of particular methods for particular age groups, or the most appropriate method to employ when exploring a particularly sensitive topic area. There are a number of data collection methods utilised to undertaken research with children, teenagers and young adults. This review provides a summary of the current available evidence and an overview of the strengths and limitations of data collection methods employed.

Handheld computers for self-administered sensitive data collection: A comparative study in Peru

PubMed Central

Bernabe-Ortiz, Antonio; Curioso, Walter H; Gonzales, Marco A; Evangelista, Wilfredo; Castagnetto, Jesus M; Carcamo, Cesar P; Hughes, James P; Garcia, Patricia J; Garnett, Geoffrey P; Holmes, King K

2008-01-01

Background Low-cost handheld computers (PDA) potentially represent an efficient tool for collecting sensitive data in surveys. The goal of this study is to evaluate the quality of sexual behavior data collected with handheld computers in comparison with paper-based questionnaires. Methods A PDA-based program for data collection was developed using Open-Source tools. In two cross-sectional studies, we compared data concerning sexual behavior collected with paper forms to data collected with PDA-based forms in Ancon (Lima). Results The first study enrolled 200 participants (18–29 years). General agreement between data collected with paper format and handheld computers was 86%. Categorical variables agreement was between 70.5% and 98.5% (Kappa: 0.43–0.86) while numeric variables agreement was between 57.1% and 79.8% (Spearman: 0.76–0.95). Agreement and correlation were higher in those who had completed at least high school than those with less education. The second study enrolled 198 participants. Rates of responses to sensitive questions were similar between both kinds of questionnaires. However, the number of inconsistencies (p = 0.0001) and missing values (p = 0.001) were significantly higher in paper questionnaires. Conclusion This study showed the value of the use of handheld computers for collecting sensitive data, since a high level of agreement between paper and PDA responses was reached. In addition, a lower number of inconsistencies and missing values were found with the PDA-based system. This study has demonstrated that it is feasible to develop a low-cost application for handheld computers, and that PDAs are feasible alternatives for collecting field data in a developing country. PMID:18366687

Hydrologic data for an investigation of the Smith River Watershed through water year 2010

USGS Publications Warehouse

Nilges, Hannah L.; Caldwell, Rodney R.

2012-01-01

Hydrologic data collected through water year 2010 and compiled as part of a U.S. Geological Survey study of the water resources of the Smith River watershed in west-central Montana are presented in this report. Tabulated data presented in this report were collected at 173 wells and 65 surface-water sites. Figures include location maps of data-collection sites and hydrographs of streamflow. Digital data files used to construct the figures, hydrographs, and data tables are included in the report. Data collected by the USGS are also stored in the USGS National Water Information System database and are available through the USGS National Water Information System Water Data for Montana Web page at http://waterdata.usgs.gov/mt/nwis/.

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities.

PubMed

Greenleaf, Abigail R; Gibson, Dustin G; Khattar, Christelle; Labrique, Alain B; Pariyo, George W

2017-05-05

Given the growing interest in mobile data collection due to the proliferation of mobile phone ownership and network coverage in low- and middle-income countries (LMICs), we synthesized the evidence comparing estimates of health outcomes from multiple modes of data collection. In particular, we reviewed studies that compared a mode of remote data collection with at least one other mode of data collection to identify mode effects and areas for further research. The study systematically reviewed and summarized the findings from articles and reports that compare a mode of remote data collection to at least one other mode. The aim of this synthesis was to assess the reliability and accuracy of results. Seven online databases were systematically searched for primary and grey literature pertaining to remote data collection in LMICs. Remote data collection included interactive voice response (IVR), computer-assisted telephone interviews (CATI), short message service (SMS), self-administered questionnaires (SAQ), and Web surveys. Two authors of this study reviewed the abstracts to identify articles which met the primary inclusion criteria. These criteria required that the survey collected the data from the respondent via mobile phone or landline. Articles that met the primary screening criteria were read in full and were screened using secondary inclusion criteria. The four secondary inclusion criteria were that two or more modes of data collection were compared, at least one mode of data collection in the study was a mobile phone survey, the study had to be conducted in a LMIC, and finally, the study should include a health component. Of the 11,568 articles screened, 10 articles were included in this study. Seven distinct modes of remote data collection were identified: CATI, SMS (singular sitting and modular design), IVR, SAQ, and Web surveys (mobile phone and personal computer). CATI was the most frequent remote mode (n=5 articles). Of the three in-person modes (face-to-face [FTF], in-person SAQ, and in-person IVR), FTF was the most common (n=11) mode. The 10 articles made 25 mode comparisons, of which 12 comparisons were from a single article. Six of the 10 articles included sensitive questions. This literature review summarizes the existing research about remote data collection in LMICs. Due to both heterogeneity of outcomes and the limited number of comparisons, this literature review is best positioned to present the current evidence and knowledge gaps rather than attempt to draw conclusions. In order to advance the field of remote data collection, studies that employ standardized sampling methodologies and study designs are necessary to evaluate the potential for differences by survey modality. ©Abigail R Greenleaf, Dustin G Gibson, Christelle Khattar, Alain B Labrique, George W Pariyo. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.05.2017.

Evaluation of Primary/Preferred Language Data Collection

PubMed Central

Duong, Linh M.; Singh, Simple D.; Buchanan, Natasha; Phillips, Joan L; Cerlach, Ken

2015-01-01

A literature review was conducted to identify peer-reviewed articles related to primary/preferred language and interpreter-use data collection practices in hospitals, clinics, and outpatient settings to assess its completeness and quality. In January 2011, Embase (Ovid), MEDLINE (Ovid), PubMed, and Web of Science databases were searched for eligible studies. Primary and secondary inclusion criteria were applied to selected eligible articles. This extensive literature search yielded 768 articles after duplicates were removed. After primary and secondary inclusion criteria were applied, 28 eligible articles remained for data abstraction. All 28 articles in this review reported collecting primary/preferred language data, but only 18% (5/28) collected information on interpreter use. This review revealed that there remains variability in the way that primary/preferred language and interpreter use data are collected; all studies used various methodologies for evaluating and abstracting these data. Likewise, the sources from which the data were abstracted differed. PMID:23443456

Smartphone-based distributed data collection enables rapid assessment of shorebird habitat suitability

USGS Publications Warehouse

Thieler, E. Robert; Zeigler, Sara; Winslow, Luke; Hines, Megan K.; Read, Jordan S.; Walker, Jordan I.

2016-01-01

Understanding and managing dynamic coastal landscapes for beach-dependent species requires biological and geological data across the range of relevant environments and habitats. It is difficult to acquire such information; data often have limited focus due to resource constraints, are collected by non-specialists, or lack observational uniformity. We developed an open-source smartphone application called iPlover that addresses these difficulties in collecting biogeomorphic information at piping plover (Charadrius melodus) nest sites on coastal beaches. This paper describes iPlover development and evaluates data quality and utility following two years of collection (n = 1799 data points over 1500 km of coast between Maine and North Carolina, USA). We found strong agreement between field user and expert assessments and high model skill when data were used for habitat suitability prediction. Methods used here to develop and deploy a distributed data collection system have broad applicability to interdisciplinary environmental monitoring and modeling.

Evaluation of primary/preferred language data collection.

PubMed

Duong, Linh M; Singh, Simple D; Buchanan, Natasha; Phillips, Joan L; Gerlach, Ken

2012-01-01

A literature review was conducted to identify peer-reviewed articles related to primary/preferred language and interpreter-use data collection practices in hospitals, clinics, and outpatient settings to assess its completeness and quality. In January 2011, Embase (Ovid), MEDLINE (Ovid), PubMed, and Web of Science databases were searched for eligible studies. Primary and secondary inclusion criteria were applied to selected eligible articles. This extensive literature search yielded 768 articles after duplicates were removed. After primary and secondary inclusion criteria were applied, 28 eligible articles remained for data abstraction. All 28 articles in this review reported collecting primary/preferred language data, but only 18% (5/28) collected information on interpreter use. This review revealed that there remains variability in the way that primary/preferred language and interpreter use data are collected; all studies used various methodologies for evaluating and abstracting these data. Likewise, the sources from which the data were abstracted differed.

Smartphone-Based Distributed Data Collection Enables Rapid Assessment of Shorebird Habitat Suitability

PubMed Central

Zeigler, Sara L.; Winslow, Luke A.; Hines, Megan K.; Read, Jordan S.; Walker, Jordan I.

2016-01-01

Understanding and managing dynamic coastal landscapes for beach-dependent species requires biological and geological data across the range of relevant environments and habitats. It is difficult to acquire such information; data often have limited focus due to resource constraints, are collected by non-specialists, or lack observational uniformity. We developed an open-source smartphone application called iPlover that addresses these difficulties in collecting biogeomorphic information at piping plover (Charadrius melodus) nest sites on coastal beaches. This paper describes iPlover development and evaluates data quality and utility following two years of collection (n = 1799 data points over 1500 km of coast between Maine and North Carolina, USA). We found strong agreement between field user and expert assessments and high model skill when data were used for habitat suitability prediction. Methods used here to develop and deploy a distributed data collection system have broad applicability to interdisciplinary environmental monitoring and modeling. PMID:27828974

Mobile In Vivo Infrared Data Collection and Diagnoses Comparison System

NASA Technical Reports Server (NTRS)

Mintz, Frederick W. (Inventor); Gunapala, Sarath D. (Inventor); Moynihan, Philip I. (Inventor)

2013-01-01

Described is a mobile in vivo infrared brain scan and analysis system. The system includes a data collection subsystem and a data analysis subsystem. The data collection subsystem is a helmet with a plurality of infrared (IR) thermometer probes. Each of the IR thermometer probes includes an IR photodetector capable of detecting IR radiation generated by evoked potentials within a user's skull. The helmet is formed to collect brain data that is reflective of firing neurons in a mobile subject and transmit the brain data to the data analysis subsystem. The data analysis subsystem is configured to generate and display a three-dimensional image that depicts a location of the firing neurons. The data analysis subsystem is also configured to compare the brain data against a library of brain data to detect an anomaly in the brain data, and notify a user of any detected anomaly in the brain data.

Streamlining Safety Data Collection in Hospital-Acquired Bacterial Pneumonia and Ventilator-Associated Bacterial Pneumonia Trials: Recommendations of the Clinical Trials Transformation Initiative Antibacterial Drug Development Project Team.

PubMed

Donnelly, Helen; Alemayehu, Demissie; Botgros, Radu; Comic-Savic, Sabrina; Eisenstein, Barry; Lorenz, Benjamin; Merchant, Kunal; Pelfrene, Eric; Reith, Christina; Santiago, Jonas; Tiernan, Rosemary; Wunderink, Richard; Tenaerts, Pamela; Knirsch, Charles

2016-08-15

Resistant bacteria are one of the leading causes of hospital-acquired/ventilator-associated bacterial pneumonia (HABP/VABP). HABP/VABP trials are complex and difficult to conduct due to the large number of medical procedures, adverse events, and concomitant medications involved. Differences in the legislative frameworks between different regions of the world may also lead to excessive data collection. The Clinical Trials Transformation Initiative (CTTI) seeks to advance antibacterial drug development (ABDD) by streamlining clinical trials to improve efficiency and feasibility while maintaining ethical rigor, patient safety, information value, and scientific validity. In 2013, CTTI engaged a multidisciplinary group of experts to discuss challenges impeding the conduct of HABP/VABP trials. Separate workstreams identified challenges associated with current data collection processes. Experts defined "data collection" as the act of capturing and reporting certain data on the case report form as opposed to recording of data as part of routine clinical care. The ABDD Project Team developed strategies for streamlining safety data collection in HABP/VABP trials using a Quality by Design approach. Current safety data collection processes in HABP/VABP trials often include extraneous information. More targeted strategies for safety data collection in HABP/VABP trials will rely on optimal protocol design and prespecification of which safety data are essential to satisfy regulatory reporting requirements. A consensus and a cultural change in clinical trial design and conduct, which involve recognition of the need for more efficient data collection, are urgently needed to advance ABDD and to improve HABP/VABP trials in particular. © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.

Methods for the collection of resource use data within clinical trials: a systematic review of studies funded by the UK Health Technology Assessment program.

PubMed

Ridyard, Colin H; Hughes, Dyfrig A

2010-12-01

The UK Health Technology Assessment (HTA) program funds trials that address issues of clinical and cost-effectiveness to meet the needs of the National Health Service (NHS). The objective of this review was to systematically assess the methods of resource use data collection and costing; and to produce a best practice guide for data capture within economic analyses alongside clinical trials. All 100 HTA-funded primary research papers published to June 2009 were reviewed for the health economic methods employed. Data were extracted and summarized by: health technology assessed, costing perspective adopted, evidence of planning and piloting, data collection method, frequency of data collection, and sources of unit cost data. Ninety-five studies were identified as having conducted an economic analysis, of which 85 recorded patient-level resource use. The review identified important differences in how data are collected. These included: a priori evidence of analysts having identified important cost drivers; the piloting and validation of patient-completed resource use questionnaires; choice of costing perspective; and frequency of data collection. Areas of commonality included: the extensive use of routine medical records and reliance on patient recall; and the use of standard sources of unit costs. Economic data collection is variable, even among a homogeneous selection of trials designed to meet the needs of a common organization (NHS). Areas for improvement have been identified, and based on our findings and related reviews and guidelines, a checklist is proposed for good practice relating to economic data collection within clinical trials. © 2010, International Society for Pharmacoeconomics and Outcomes Research (ISPOR).

New Approaches to Demographic Data Collection

PubMed Central

Treiman, Donald J.; Lu, Yao; Qi, Yaqiang

2013-01-01

As population scientists have expanded the range of topics they study, increasingly considering the interrelationship between population phenomena and social, economic, and health conditions, they have expanded the kinds of data collected and have brought to bear new data collection techniques and procedures, often borrowed from other fields. These new approaches to demographic data collection are the concern of this essay. We consider three main topics: new developments in sampling procedures; new developments in fieldwork procedures; and new developments in the kind of information collected in demographic and social surveys. We conclude with some comments on data sharing in the social research community and a list of major Chinese surveys publicly available to researchers. Where possible we illustrate our points with Chinese examples. PMID:23844330

Automatic mission planning algorithms for aerial collection of imaging-specific tasks

NASA Astrophysics Data System (ADS)

Sponagle, Paul; Salvaggio, Carl

2017-05-01

The rapid advancement and availability of small unmanned aircraft systems (sUAS) has led to many novel exploitation tasks utilizing that utilize this unique aerial imagery data. Collection of this unique data requires novel flight planning to accomplish the task at hand. This work describes novel flight planning to better support structure-from-motion missions to minimize occlusions, autonomous and periodic overflight of reflectance calibration panels to permit more efficient and accurate data collection under varying illumination conditions, and the collection of imagery data to study optical properties such as the bidirectional reflectance distribution function without disturbing the target in sensitive or remote areas of interest. These novel mission planning algorithms will provide scientists with additional tools to meet their future data collection needs.

Bigfoot Field Manual

NASA Astrophysics Data System (ADS)

Campbell, J. L.; Burrows, S.; Gower, S. T.; Cohen, W. B.

1999-09-01

The BigFoot Project is funded by the Earth Science Enterprise to collect and organize data to be used in the EOS Validation Program. The data collected by the BigFoot Project are unique in being ground-based observations coincident with satellite overpasses. In addition to collecting data, the BigFoot project will develop and test new algorithms for scaling point measurements to the same spatial scales as the EOS satellite products. This BigFoot Field Manual Mill be used to achieve completeness and consistency of data collected at four initial BigFoot sites and at future sites that may collect similar validation data. Therefore, validation datasets submitted to the ORNL DAAC that have been compiled in a manner consistent with the field manual will be especially valuable in the validation program.

A seismic signal processor suitable for use with the NOAA/GOES satellite data collection system

NASA Technical Reports Server (NTRS)

Webster, W. J., Jr.; Miller, W. H.; Whitley, R.; Allenby, R. J.; Dennison, R. T.

1981-01-01

Because of the high data-rate requirements, a practical system capable of collecting seismic information in the field and relaying it, via satellite, to a central collection point is not yet available. A seismic signal processor has been developed and tested for use with the NOAA/GOES satellite data collection system. Performance tests on recorded, as well as real time, short period signals indicate that the event recognition technique used is nearly perfect in its rejection of environmental noise and other non-seismic signals and that, with the use of solid state buffer memories, data can be acquired in many swarm situations. The design of a complete field data collection platform is discussed based on the prototype evaluation.

AH-64D Apache Longbow Aircrew Workload Assessment for Unmanned Aerial System (UAS) Employment

DTIC Science & Technology

2009-01-01

data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden...a head-eye tracker), audio-video, and tactics, techniques and procedures data were collected and analyzed. Pilot workload was found to be...5 2. Method 6 2.1 Data Collection

Instrumentation, methods of flood-data collection and transmission, and evaluation of streamflow-gaging network in Indiana

USGS Publications Warehouse

Glatfelter, D.R.; Butch, G.K.

1994-01-01

The study results indicate that installation of streamflow-gaging stations at 15 new sites would improve collection of flood data. Instrumenting the 15 new sites plus 26 existing streamflow-gaging stations with telemetry, preferably data-collection platforms with satellite transmitters, would improve transmission of data to users of the information.

75 FR 39693 - 60-Day Notice; Agency Information Collection Request; 60-Day Public Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-07-12

... within 60 days. Proposed Project: Uniform Data Set (UDS)--Revision--OMB No. 0990- 0275--Office of Public... OMB approved Uniform Data Set (OMB No. 0990-0275), the tool used by OMH to collect program management and performance data for all OMH-funded projects. Respondents for this data collection include the...

Bulk transmission system component outage data base. Research project 1283-1. Final report

DOE Office of Scientific and Technical Information (OSTI.GOV)

Albrecht, P.F.; Heising, C.R.; Patton, A.D.

1981-04-01

This project is responsive to the premise that the successful analysis of equipment reliability and system adequacy in bulk transmission system planning and system operations requires data on equipment failure rates, maintenance outage rates and repair times. The objective of the project is to develop a system of consistent definitions, formats and procedures which can be used in the collection of such data in a well designed outage data bank. The project consisted of four interrelated phases, beginning with a review of related work and problem definition and ending with a discussion of data base organization and management. The reviewmore » of related work quickly pointed out that two schools of thought exist on data collection. One group contends that data should be collected on bulk transmission system physical equipments, such as transformers, circuit breakers, etc., and the other group supports data collection on functional transmission lines, including the terminal equipment, which have been defined as transmission units in this report. A compromise between these two approaches was imperative for successful completion of the work. The second phase investigated the data needed for reliability evaluation. The applications of the data bank were enumerated leading to a list of basic data needed when recording an incident. Phase 3 concentrated on developing procedures for data collection using forms to collect data both on outages and on the equipment design. Finally, the aspects of data base organization and management were explored and general recommendations made appropriate to this specific application. The project did not succeed in completely defining the procedures, particularly for multiple outages, but the ground work has been laid for a pilot data collection effort to refine the procedures before wide scale implementation by the utility industry.« less

Distributed Data Service for Data Management in Internet of Things Middleware.

PubMed

Cruz Huacarpuma, Ruben; de Sousa Junior, Rafael Timoteo; de Holanda, Maristela Terto; de Oliveira Albuquerque, Robson; García Villalba, Luis Javier; Kim, Tai-Hoon

2017-04-27

The development of the Internet of Things (IoT) is closely related to a considerable increase in the number and variety of devices connected to the Internet. Sensors have become a regular component of our environment, as well as smart phones and other devices that continuously collect data about our lives even without our intervention. With such connected devices, a broad range of applications has been developed and deployed, including those dealing with massive volumes of data. In this paper, we introduce a Distributed Data Service (DDS) to collect and process data for IoT environments. One central goal of this DDS is to enable multiple and distinct IoT middleware systems to share common data services from a loosely-coupled provider. In this context, we propose a new specification of functionalities for a DDS and the conception of the corresponding techniques for collecting, filtering and storing data conveniently and efficiently in this environment. Another contribution is a data aggregation component that is proposed to support efficient real-time data querying. To validate its data collecting and querying functionalities and performance, the proposed DDS is evaluated in two case studies regarding a simulated smart home system, the first case devoted to evaluating data collection and aggregation when the DDS is interacting with the UIoT middleware, and the second aimed at comparing the DDS data collection with this same functionality implemented within the Kaa middleware.

An object-oriented approach to nested data parallelism

NASA Technical Reports Server (NTRS)

Sheffler, Thomas J.; Chatterjee, Siddhartha

1994-01-01

This paper describes an implementation technique for integrating nested data parallelism into an object-oriented language. Data-parallel programming employs sets of data called 'collections' and expresses parallelism as operations performed over the elements of a collection. When the elements of a collection are also collections, then there is the possibility for 'nested data parallelism.' Few current programming languages support nested data parallelism however. In an object-oriented framework, a collection is a single object. Its type defines the parallel operations that may be applied to it. Our goal is to design and build an object-oriented data-parallel programming environment supporting nested data parallelism. Our initial approach is built upon three fundamental additions to C++. We add new parallel base types by implementing them as classes, and add a new parallel collection type called a 'vector' that is implemented as a template. Only one new language feature is introduced: the 'foreach' construct, which is the basis for exploiting elementwise parallelism over collections. The strength of the method lies in the compilation strategy, which translates nested data-parallel C++ into ordinary C++. Extracting the potential parallelism in nested 'foreach' constructs is called 'flattening' nested parallelism. We show how to flatten 'foreach' constructs using a simple program transformation. Our prototype system produces vector code which has been successfully run on workstations, a CM-2, and a CM-5.

76 FR 79689 - Agency Information Collection Activities; Proposed Collection; Comment Request; Guidance for...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-22

...] Agency Information Collection Activities; Proposed Collection; Comment Request; Guidance for Clinical Trial Sponsors: Establishment and Operation of Clinical Trial Data Monitoring Committees AGENCY: Food... establishment and operation of clinical trial data monitoring committees. DATES: Submit either electronic or...

Privacy Impact Assessment for the Case Management System for Suspension and Debarment

EPA Pesticide Factsheets

This system collects contact information and other Personally Identifiable Information (PII). Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and the record retention policies.

Appendices for EPAct/V2/E-89 Final Report on Program Design and Data Collection

EPA Pesticide Factsheets

This page contains the appendices A through P for EPAct/V2/E-89 Final Report on Program Design and Data Collection - First Report (PDF).Program design and data collection activities are described in the above report.

Privacy Impact Assessment for the Hotline Allegation System for the Office of Inspector General

EPA Pesticide Factsheets

This system collects contact information and other Personally Identifiable Information (PII). Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

A cost-effective traffic data collection system based on the iDEN mobile telecommunication network.

DOT National Transportation Integrated Search

2008-10-01

This report describes a cost-effective data collection system for Caltrans 170 traffic signal : controller. The data collection system is based on TCP/IP communication over existing : low-cost mobile communication networks and Motorola iDEN1 mobile...

Privacy Impact Assessment for the Engine and Vehicle Automated Commercial Environment

EPA Pesticide Factsheets

The system collects basic contact information (name, address, e-mail and phone numbers). Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

77 FR 65555 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-29

... the initial data collection for select restaurant facility types, followed by the initial data... period data collection survey measurement) period Restaurants Full Service 2013 2016 2019 Restaurants. Fast Food Restaurants. Institutional Foodservice........ Hospitals 2014 2017 2020 Nursing Homes...

76 FR 10624 - Agency Information Collection Activities; Submission for OMB Review; Comment Request; Employment...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-02-25

...) sponsored information collection request (ICR) titled, ``Employment and Training Data Validation Requirement... report accurate and reliable program and financial information. Data validation requires States and... Employment Program. The Employment and Training Data Validation Requirement is an information collection is...

77 FR 4674 - State Fiscal Stabilization Fund Program

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-31

... and competing priorities that States were facing in meeting the SFSF data collection and reporting... the interim final requirement (i.e., the notice of proposed revisions to certain data collection and... collection instructions; respondents can provide the requested data in the desired format; reporting burden...

Privacy Impact Assessment for the PC Label System

EPA Pesticide Factsheets

The PC Label System collects contact information for individuals with an interest in EPA's Region 1. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies

Privacy Impact Assessment for the Freedom of Information Act Online

EPA Pesticide Factsheets

This system collects the name and contact information for Freedom of Information Act requestors. Learn how the data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Privacy Impact Assessment for the Federal Docket Management System/eRulemaking

EPA Pesticide Factsheets

This system collects the name and contact information for users who submit comments, in addition to agency users. Learn how the data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

CPAC: Energy-Efficient Data Collection through Adaptive Selection of Compression Algorithms for Sensor Networks

PubMed Central

Lee, HyungJune; Kim, HyunSeok; Chang, Ik Joon

2014-01-01

We propose a technique to optimize the energy efficiency of data collection in sensor networks by exploiting a selective data compression. To achieve such an aim, we need to make optimal decisions regarding two aspects: (1) which sensor nodes should execute compression; and (2) which compression algorithm should be used by the selected sensor nodes. We formulate this problem into binary integer programs, which provide an energy-optimal solution under the given latency constraint. Our simulation results show that the optimization algorithm significantly reduces the overall network-wide energy consumption for data collection. In the environment having a stationary sink from stationary sensor nodes, the optimized data collection shows 47% energy savings compared to the state-of-the-art collection protocol (CTP). More importantly, we demonstrate that our optimized data collection provides the best performance in an intermittent network under high interference. In such networks, we found that the selective compression for frequent packet retransmissions saves up to 55% energy compared to the best known protocol. PMID:24721763

A feedback-based secure path approach for wireless sensor network data collection.

PubMed

Mao, Yuxin; Wei, Guiyi

2010-01-01

The unattended nature of wireless sensor networks makes them very vulnerable to malicious attacks. Therefore, how to preserve secure data collection is an important issue to wireless sensor networks. In this paper, we propose a novel approach of secure data collection for wireless sensor networks. We explore secret sharing and multipath routing to achieve secure data collection in wireless sensor network with compromised nodes. We present a novel tracing-feedback mechanism, which makes full use of the routing functionality of wireless sensor networks, to improve the quality of data collection. The major advantage of the approach is that the secure paths are constructed as a by-product of data collection. The process of secure routing causes little overhead to the sensor nodes in the network. Compared with existing works, the algorithms of the proposed approach are easy to implement and execute in resource-constrained wireless sensor networks. According to the result of a simulation experiment, the performance of the approach is better than the recent approaches with a similar purpose.

Implementing health reform: improved data collection and the monitoring of health disparities.

PubMed

Dorsey, Rashida; Graham, Garth; Glied, Sherry; Meyers, David; Clancy, Carolyn; Koh, Howard

2014-01-01

The relative lack of standards for collecting data on population subgroups has not only limited our understanding of health disparities, but also impaired our ability to develop policies to eliminate them. This article provides background about past challenges to collecting data by race/ethnicity, primary language, sex, and disability status. It then discusses how passage of the Affordable Care Act has provided new opportunities to improve data-collection standards for the demographic variables of interest and, as such, a better understanding of the characteristics of populations served by the U.S. Department of Health and Human Services (HHS). The new standards have been formally adopted by the Secretary of HHS for application in all HHS-sponsored population health surveys involving self-reporting. The new data-collection standards will not only promote the uniform collection and utilization of demographic data, but also help the country shape future programs and policies to advance public health and to reduce disparities.

We're all in this together now: group performance feedback to increase classroom team data collection.

PubMed

Pellecchia, Melanie; Connell, James E; Eisenhart, Donald; Kane, Meghan; Schoener, Christine; Turkel, Kimberly; Riley, Megan; Mandell, David S

2011-08-01

This study's primary goal was to evaluate the use of performance feedback procedures delivered to a classroom team to increase daily data collection. Performance feedback (PFB) was delivered to four classroom teams responsible for the daily collection of data representing student performance during prescribed instructional activities. Using a multiple-baseline design, the effects of the team performance-feedback were evaluated for the target student, and for generalization to data collection for all classroom students. A secondary question evaluated if student on-task behavior correlated with increased data collection. Finally, social validity was investigated to evaluate team satisfaction with the PFB intervention. The results demonstrate improved data collection across all four classroom teams for the target student in each classroom and generalization within classrooms to all remaining students. Slight increases in student on-task behavior were observed in three of the four classrooms, and teacher satisfaction ratings were high. Copyright © 2011 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Australia's TERN: Advancing Ecosystem Data Management in Australia

NASA Astrophysics Data System (ADS)

Phinn, S. R.; Christensen, R.; Guru, S.

2013-12-01

Globally, there is a consistent movement towards more open, collaborative and transparent science, where the publication and citation of data is considered standard practice. Australia's Terrestrial Ecosystem Research Network (TERN) is a national research infrastructure investment designed to support the ecosystem science community through all stages of the data lifecycle. TERN has developed and implemented a comprehensive network of ';hard' and ';soft' infrastructure that enables Australia's ecosystem scientists to collect, publish, store, share, discover and re-use data in ways not previously possible. The aim of this poster is to demonstrate how TERN has successfully delivered infrastructure that is enabling a significant cultural and practical shift in Australia's ecosystem science community towards consistent approaches for data collection, meta-data, data licensing, and data publishing. TERN enables multiple disciplines, within the ecosystem sciences to more effectively and efficiently collect, store and publish their data. A critical part of TERN's approach has been to build on existing data collection activities, networks and skilled people to enable further coordination and collaboration to build each data collection facility and coordinate data publishing. Data collection in TERN is through discipline based facilities, covering long term collection of: (1) systematic plot based measurements of vegetation structure, composition and faunal biodiversity; (2) instrumented towers making systematic measurements of solar, water and gas fluxes; and (3) satellite and airborne maps of biophysical properties of vegetation, soils and the atmosphere. Several other facilities collect and integrate environmental data to produce national products for fauna and vegetation surveys, soils and coastal data, as well as integrated or synthesised products for modelling applications. Data management, publishing and sharing in TERN are implemented through a tailored data licensing framework suitable for ecosystem data, national standards for metadata, a DOI-minting service, and context-appropriate data repositories and portals. The TERN Data infrastructure is based on loosely coupled 'network of networks.' Overall, the data formats used across the TERN facilities vary from NetCDF, comma-separated values and descriptive documents. Metadata standards include ISO19115, Ecological Metadata Language and rich semantic enabled contextual information. Data services vary from Web Mapping Service, Web Feature Service, OpeNDAP, file servers and KNB Metacat. These approaches enable each data collection facility to maintain their discipline based data collection and storage protocols. TERN facility meta-data are harvested regularly for the central TERN Data Discovery Portal and converted to a national standard format. This approach enables centralised discovery, access, and re-use of data simply and effectively, while maintaining disciplinary diversity. Effort is still required to support the cultural shift towards acceptance of effective data management, publication, sharing and re-use as standard practice. To this end TERN's future activities will be directed to supporting this transformation and undertaking ';education' to enable ecosystem scientists to take full advantage of TERN's infrastructure, and providing training and guidance for best practice data management.

Study on intelligent processing system of man-machine interactive garment frame model

NASA Astrophysics Data System (ADS)

Chen, Shuwang; Yin, Xiaowei; Chang, Ruijiang; Pan, Peiyun; Wang, Xuedi; Shi, Shuze; Wei, Zhongqian

2018-05-01

A man-machine interactive garment frame model intelligent processing system is studied in this paper. The system consists of several sensor device, voice processing module, mechanical parts and data centralized acquisition devices. The sensor device is used to collect information on the environment changes brought by the body near the clothes frame model, the data collection device is used to collect the information of the environment change induced by the sensor device, voice processing module is used for speech recognition of nonspecific person to achieve human-machine interaction, mechanical moving parts are used to make corresponding mechanical responses to the information processed by data collection device.it is connected with data acquisition device by a means of one-way connection. There is a one-way connection between sensor device and data collection device, two-way connection between data acquisition device and voice processing module. The data collection device is one-way connection with mechanical movement parts. The intelligent processing system can judge whether it needs to interact with the customer, realize the man-machine interaction instead of the current rigid frame model.

Crowdsourcing for Cognitive Science – The Utility of Smartphones

PubMed Central

Brown, Harriet R.; Zeidman, Peter; Smittenaar, Peter; Adams, Rick A.; McNab, Fiona; Rutledge, Robb B.; Dolan, Raymond J.

2014-01-01

By 2015, there will be an estimated two billion smartphone users worldwide. This technology presents exciting opportunities for cognitive science as a medium for rapid, large-scale experimentation and data collection. At present, cost and logistics limit most study populations to small samples, restricting the experimental questions that can be addressed. In this study we investigated whether the mass collection of experimental data using smartphone technology is valid, given the variability of data collection outside of a laboratory setting. We presented four classic experimental paradigms as short games, available as a free app and over the first month 20,800 users submitted data. We found that the large sample size vastly outweighed the noise inherent in collecting data outside a controlled laboratory setting, and show that for all four games canonical results were reproduced. For the first time, we provide experimental validation for the use of smartphones for data collection in cognitive science, which can lead to the collection of richer data sets and a significant cost reduction as well as provide an opportunity for efficient phenotypic screening of large populations. PMID:25025865

Crowdsourcing for cognitive science--the utility of smartphones.

PubMed

Brown, Harriet R; Zeidman, Peter; Smittenaar, Peter; Adams, Rick A; McNab, Fiona; Rutledge, Robb B; Dolan, Raymond J

2014-01-01

By 2015, there will be an estimated two billion smartphone users worldwide. This technology presents exciting opportunities for cognitive science as a medium for rapid, large-scale experimentation and data collection. At present, cost and logistics limit most study populations to small samples, restricting the experimental questions that can be addressed. In this study we investigated whether the mass collection of experimental data using smartphone technology is valid, given the variability of data collection outside of a laboratory setting. We presented four classic experimental paradigms as short games, available as a free app and over the first month 20,800 users submitted data. We found that the large sample size vastly outweighed the noise inherent in collecting data outside a controlled laboratory setting, and show that for all four games canonical results were reproduced. For the first time, we provide experimental validation for the use of smartphones for data collection in cognitive science, which can lead to the collection of richer data sets and a significant cost reduction as well as provide an opportunity for efficient phenotypic screening of large populations.

Data collection in IMS: It's not as easy as it looks

NASA Technical Reports Server (NTRS)

Davis, Dennis M.; Maswadeh, Waleed; Shoff, Donald B.; Harden, Charles S.; Snyder, A. Peter

1995-01-01

Data collection in Ion Mobility Spectrometry (IMS) is not as easy an endeavor as it appears. Despite the advent of high speed personal computers and fast analog-to-digital converters (ADC's), care must be taken to ensure that reliable data are obtained in a timely fashion. This is especially true in hyphenated techniques, e.g. GC-IMS, where the amount of data increases dramatically when gas chromatography-ion mobility spectrometry (GC-IMS) data is being collected. Using the Graseby GC-IMS, with a gate repetition rate of 33 Hz, it is theoretically possible to collect 33 spectra per second. This collection rate is not realistically obtained due to a number of factors. Among these factors are inaccuracy of the timing signal from the IMS, the necessity to store the data, disk input/output limitations, disk operating system limitations, and program overhead. Taking these factors into account, we have achieved a data collection rate of 20 spectra per second. This paper will describe these problems, demonstrate the practical effects these problems present, and present methods for minimizing these effects.

The effect of an integrated high school science curriculum on student achievement, knowledge retention, and science attitudes

NASA Astrophysics Data System (ADS)

Smith, Kimberly A.

The research study investigates the effectiveness of an integrated high school science curriculum on student achievement, knowledge retention and science attitudes using quantitative and qualitative research. Data was collected from tenth grade students, in a small urban high school in Kansas City, Missouri, who were enrolled in a traditional Biology course or an integrated Environmental Science course. Quantitative data was collected in Phase 1 of the study. Data collected for academic achievement included pretest and posttest scores on the CTBS MATN exam. Data collected for knowledge retention included post-posttest scores on the CTBS MATN exam. Data collected for science attitudes were scores on a pretest and posttest using the TOSRA. SPSS was used to analyze the data using independent samples t-tests, one-way ANCOVA's and paired samples statistics. Qualitative data was collected in Phase 2 of the study. Data included responses to open-ended interview questions using three focus groups. Data was analyzed for common themes. Data analysis revealed the integrated Environmental Science course had a statistically significant impact on academic achievement, knowledge retention and positive science attitudes. Gender and socioeconomic status did not influence results. The study also determined that the CTBS MATN exam was not an accurate predictor of scores on state testing as was previously thought.

Antenna pattern measurements to characterize the out-of-band behavior of reflector antennas

NASA Astrophysics Data System (ADS)

Cown, B. J.; Weaver, E. E.; Ryan, C. E., Jr.

1983-12-01

Research was conducted to collect and describe out-of-band antenna pattern data. The research efforts were devoted: (1) to deriving valid measured data for a reflector antenna for out-of-band frequencies spanning intervals around the second and third harmonics of the in-band design frequency, and (2) to statistically characterize the measured data. The second harmonic data were collected for both polarization senses for the out-of-band frequencies of 5.5 GHz to 7.5 GHz in steps of 0.1 GHz. The third harmonic data were collected for both polarization senses for the out-of-band frequencies of 8.0 GHz to 10.0 GHz in steps of 0.1 GHz. Additionally, in-band data were collected at 2.9, 3.0, and 3.1 GHz for both polarization senses. The measured data were collected on the Georgia Tech compact antenna range test facility with the aid of an automated data logger system designed expressly for efficient collection of broadband antenna data. The pattern data, recorded directly on magnetic disks, were analyzed: (1) to compute average gain and standard deviation over selected angular sectors, (2) to construct cumulative probability curves, and (3) to specify the peak gain and the angular coordinates of the peak at each frequency.

Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs

USGS Publications Warehouse

Wilson, Gary L.; Richards, Joseph M.

2006-01-01

Because of the increasing use and importance of lakes for water supply to communities, a repeatable and reliable procedure to determine lake bathymetry and capacity is needed. A method to determine the accuracy of the procedure will help ensure proper collection and use of the data and resulting products. It is important to clearly define the intended products and desired accuracy before conducting the bathymetric survey to ensure proper data collection. A survey-grade echo sounder and differential global positioning system receivers were used to collect water-depth and position data in December 2003 at Sugar Creek Lake near Moberly, Missouri. Data were collected along planned transects, with an additional set of quality-assurance data collected for use in accuracy computations. All collected data were imported into a geographic information system database. A bathymetric surface model, contour map, and area/capacity tables were created from the geographic information system database. An accuracy assessment was completed on the collected data, bathymetric surface model, area/capacity table, and contour map products. Using established vertical accuracy standards, the accuracy of the collected data, bathymetric surface model, and contour map product was 0.67 foot, 0.91 foot, and 1.51 feet at the 95 percent confidence level. By comparing results from different transect intervals with the quality-assurance transect data, it was determined that a transect interval of 1 percent of the longitudinal length of Sugar Creek Lake produced nearly as good results as 0.5 percent transect interval for the bathymetric surface model, area/capacity table, and contour map products.

More outcomes than trials: a call for consistent data collection across stroke rehabilitation trials.

PubMed

Ali, M; English, C; Bernhardt, J; Sunnerhagen, K S; Brady, M

2013-01-01

Stroke survivors experience complex combinations of impairments, activity limitations, and participation restrictions. The essential components of stroke rehabilitation remain elusive. Determining efficacy in randomized controlled trials (RCTs) is challenging; there is no commonly agreed primary outcome measure for rehabilitation trials. Clinical guidelines depend on proof of efficacy in RCTs and meta-analyses. However, diverse trial aims, differing methods, inconsistent data collection, and use of multiple assessment tools hinder comparability across trials. Consistent data collection in acute stroke trials has facilitated meta-analyses to inform trial design and clinical practice. With few exceptions, inconsistent data collection has hindered similar progress in stroke rehabilitation research. There is an urgent need for the routine collection of a core dataset of common variables in rehabilitation trials. The European Stroke Organisation Outcomes Working Group, the National Institutes of Neurological Disorders and Stroke Common Data Elements project, and the Collaborative Stroke Audit and Research project have called for consistency in data collection in stroke trials. Standardizing data collection can decrease study start up times, facilitate data sharing, and inform clinical guidelines. Although achieving consensus on which outcome measures to use in stroke rehabilitation trials is a considerable task, perhaps a feasible starting point is to achieve consistency in the collection of data on demography, stroke severity, and stroke onset to inclusion times. Longer term goals could include the development of a consensus process to establish the core dataset. This should be endorsed by researchers, funders, and journal editors in order to facilitate sustainable change. © 2012 The Authors. International Journal of Stroke © 2012 World Stroke Organization.

76 FR 76422 - Agency Information Collection Activities; Proposed Collection; Comment Request; Experimental...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-07

...] Agency Information Collection Activities; Proposed Collection; Comment Request; Experimental Study on Comparing Data Obtained From Landline Telephone and Cell Phone Surveys AGENCY: Food and Drug Administration... notice. This notice solicits comments on a study entitled ``Experimental Study on Comparing Data Obtained...

Guide to long term pavement performance (LTPP) traffic data collection and processing

DOT National Transportation Integrated Search

2000-04-11

The goal of this report is to document the process and procedures used by LTPP to collect and store the traffic data used to estimate pavement loadings. This first section of this report provides introductory material on the traffic data collection p...

76 FR 56226 - Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-12

..., applied, and evaluative research aimed at improving the quality of data collected and published by the... of survey instrument design and survey administration, as well as on issues related to interviewer... designed to enhance the quality of the Bureau's data collection procedures and overall data management. The...

48 CFR 216.401-70 - Data collection.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 48 Federal Acquisition Regulations System 3 2013-10-01 2013-10-01 false Data collection. 216.401..., DEPARTMENT OF DEFENSE CONTRACTING METHODS AND CONTRACT TYPES TYPES OF CONTRACTS Incentive Contracts 216.401-70 Data collection. Section 814 of the National Defense Authorization Act for Fiscal Year 2007 (Pub...

48 CFR 216.401-70 - Data collection.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 48 Federal Acquisition Regulations System 3 2012-10-01 2012-10-01 false Data collection. 216.401..., DEPARTMENT OF DEFENSE CONTRACTING METHODS AND CONTRACT TYPES TYPES OF CONTRACTS Incentive Contracts 216.401-70 Data collection. Section 814 of the National Defense Authorization Act for Fiscal Year 2007 (Pub...

48 CFR 216.401-70 - Data collection.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 48 Federal Acquisition Regulations System 3 2014-10-01 2014-10-01 false Data collection. 216.401..., DEPARTMENT OF DEFENSE CONTRACTING METHODS AND CONTRACT TYPES TYPES OF CONTRACTS Incentive Contracts 216.401-70 Data collection. Section 814 of the National Defense Authorization Act for Fiscal Year 2007 (Pub...

77 FR 47847 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-10

...] Proposed Data Collections Submitted for Public Comment and Recommendations In compliance with the... investigation and the usefulness of recommendations; data are collected from 100 state and local health... on both the timeliness and the practical utility of the recommendations from the investigation by...

The Feasibility of Collecting School Nurse Data

ERIC Educational Resources Information Center

Bergren, Martha Dewey

2016-01-01

School nurses cite barriers to collecting comprehensive data on the care they provide. This study evaluated the feasibility of collecting school nurse data on selected child health and education outcomes. Outcome variables included school health office visits; health provider, parent, and staff communication; early dismissal; and medications…

75 FR 63141 - Information Collection; Research Data Archive Use Tracking

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-14

..., filing of petitions and applications and agency #0;statements of organization and functions are examples... Information Collection; Research Data Archive Use Tracking AGENCY: Forest Service, USDA. ACTION: Notice... information collection, Research Data Archive Use Tracking. DATES: Comments must be received in writing on or...

50 CFR 679.7 - Prohibitions.

Code of Federal Regulations, 2012 CFR

2012-10-01

... collection of scientific data or biological samples from the salmon has been completed. (B) Non-Chinook... pollock CDQ in the BS before the observer has completed counting the salmon and collecting scientific data... count of salmon and the collection of scientific data or biological samples from the previous offload...

50 CFR 679.7 - Prohibitions.

Code of Federal Regulations, 2013 CFR

2013-10-01

... collection of scientific data or biological samples from the salmon has been completed. (B) Non-Chinook... pollock CDQ in the BS before the observer has completed counting the salmon and collecting scientific data... count of salmon and the collection of scientific data or biological samples from the previous offload...

76 FR 37332 - Notice of Submission for OMB Review

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-27

... Burden Hours: 30,028. Abstract: The data collection under this revision and renewal request is governed... Federal government to ensure that the goals of the program are achieved, certain data collection, recordkeeping, and documentation are necessary. In addition this data collection is governed by the Government...

Privacy Impact Assessment for the Mailing System for the Office of Public Affairs

EPA Pesticide Factsheets

The Mailing System for the Office of Public Affairs collects contact and geographic information. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

CETA and Reservation Economic Development. Exemplary Project Handbook: Community-Based Data Collection.

ERIC Educational Resources Information Center

Fazio, Ernest J., Jr.; Jones, Sally Jo, Ed.

To guide Indian reservation program planners, the handbook highlights three exemplary community-based data collection efforts undertaken by Native American Comprehensive Employment and Training Act (CETA) grantees to improve their planning and program development activities. Exemplary data collection activities reported include the Spokane…

34 CFR 303.176 - Data collection.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 34 Education 2 2010-07-01 2010-07-01 false Data collection. 303.176 Section 303.176 Education Regulations of the Offices of the Department of Education (Continued) OFFICE OF SPECIAL EDUCATION AND... Data collection. Each application must include procedures that meet the requirements in § 303.540...

24 CFR 902.60 - Data collection.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 24 Housing and Urban Development 4 2011-04-01 2011-04-01 false Data collection. 902.60 Section 902.60 Housing and Urban Development REGULATIONS RELATING TO HOUSING AND URBAN DEVELOPMENT (CONTINUED... PUBLIC HOUSING ASSESSMENT SYSTEM PHAS Scoring § 902.60 Data collection. (a) Fiscal year reporting period...

34 CFR 303.176 - Data collection.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 34 Education 2 2011-07-01 2010-07-01 true Data collection. 303.176 Section 303.176 Education Regulations of the Offices of the Department of Education (Continued) OFFICE OF SPECIAL EDUCATION AND... Data collection. Each application must include procedures that meet the requirements in § 303.540...

The completeness of cancer treatment data on the National Health Collections.

PubMed

Gurney, Jason; Sarfati, Diana; Dennett, Elizabeth; Koea, Jonathan

2013-08-30

The New Zealand Ministry of Health (MoH) maintains a number of National Collections, which contain data on diagnoses, procedures and service provision for patients. There are concerns that these collections may underestimate the provision of cancer treatment, but the extent to which this is true is largely unknown. In this brief report, we focus on the Auckland region to illustrate the extent to which the National Collections undercount receipt of surgery in patients with breast, colon or renal cancer, and receipt of chemo- and/or radiotherapy for breast cancer patients with regional extent of disease (all diagnosed 2006-2008). We collected treatment data from the National collections and augmented this with data from Cancer Centres, breast cancer registers, private hospitals and personal clinician databases. The National Collections were used to determine 'baseline' treatment data, and we then compared receipt of treatment to that observed on the augmented dataset. We found that the National Collections undercounted receipt of surgery by 13-19%, and receipt of chemo- or radiotherapy for breast cancer patients by 18% and 16% respectively. Our observations clearly point toward (1) a non-reporting private hospital 'effect' on surgery data completeness; and (2) underreporting of adjuvant therapy to the MoH by service providers.

Data analytics approach to create waste generation profiles for waste management and collection.

PubMed

Niska, Harri; Serkkola, Ari

2018-04-30

Extensive monitoring data on waste generation is increasingly collected in order to implement cost-efficient and sustainable waste management operations. In addition, geospatial data from different registries of the society are opening for free usage. Novel data analytics approaches can be built on the top of the data to produce more detailed, and in-time waste generation information for the basis of waste management and collection. In this paper, a data-based approach based on the self-organizing map (SOM) and the k-means algorithm is developed for creating a set of waste generation type profiles. The approach is demonstrated using the extensive container-level waste weighting data collected in the metropolitan area of Helsinki, Finland. The results obtained highlight the potential of advanced data analytic approaches in producing more detailed waste generation information e.g. for the basis of tailored feedback services for waste producers and the planning and optimization of waste collection and recycling. Copyright © 2018 Elsevier Ltd. All rights reserved.

Space and Earth Science Data Compression Workshop

NASA Technical Reports Server (NTRS)

Tilton, James C. (Editor)

1991-01-01

The workshop explored opportunities for data compression to enhance the collection and analysis of space and Earth science data. The focus was on scientists' data requirements, as well as constraints imposed by the data collection, transmission, distribution, and archival systems. The workshop consisted of several invited papers; two described information systems for space and Earth science data, four depicted analysis scenarios for extracting information of scientific interest from data collected by Earth orbiting and deep space platforms, and a final one was a general tutorial on image data compression.

Assessing the Efficiency of HIV Prevention around the World: Methods of the PANCEA Project

PubMed Central

Marseille, Elliot; Dandona, Lalit; Saba, Joseph; McConnel, Coline; Rollins, Brandi; Gaist, Paul; Lundberg, Mattias; Over, Mead; Bertozzi, Stefano; Kahn, James G

2004-01-01

Objective To develop data collection methods suitable to obtain data to assess the costs, cost-efficiency, and cost-effectiveness of eight types of HIV prevention programs in five countries. Data Sources/Study Setting Primary data collection from prevention programs for 2002–2003 and prior years, in Uganda, South Africa, India, Mexico, and Russia. Study Design This study consisted of a retrospective review of HIV prevention programs covering one to several years of data. Key variables include services delivered (outputs), quality indicators, and costs. Data Collection/Extraction Methods Data were collected by trained in-country teams during week-long site visits, by reviewing service and financial records and interviewing program managers and clients. Principal Findings Preliminary data suggest that the unit cost of HIV prevention programs may be both higher and more variable than previous studies suggest. Conclusions A mix of standard data collection methods can be successfully implemented across different HIV prevention program types and countries. These methods can provide comprehensive services and cost data, which may carry valuable information for the allocation of HIV prevention resources. PMID:15544641

Process improvement methods increase the efficiency, accuracy, and utility of a neurocritical care research repository.

PubMed

O'Connor, Sydney; Ayres, Alison; Cortellini, Lynelle; Rosand, Jonathan; Rosenthal, Eric; Kimberly, W Taylor

2012-08-01

Reliable and efficient data repositories are essential for the advancement of research in Neurocritical care. Various factors, such as the large volume of patients treated within the neuro ICU, their differing length and complexity of hospital stay, and the substantial amount of desired information can complicate the process of data collection. We adapted the tools of process improvement to the data collection and database design of a research repository for a Neuroscience intensive care unit. By the Shewhart-Deming method, we implemented an iterative approach to improve the process of data collection for each element. After an initial design phase, we re-evaluated all data fields that were challenging or time-consuming to collect. We then applied root-cause analysis to optimize the accuracy and ease of collection, and to determine the most efficient manner of collecting the maximal amount of data. During a 6-month period, we iteratively analyzed the process of data collection for various data elements. For example, the pre-admission medications were found to contain numerous inaccuracies after comparison with a gold standard (sensitivity 71% and specificity 94%). Also, our first method of tracking patient admissions and discharges contained higher than expected errors (sensitivity 94% and specificity 93%). In addition to increasing accuracy, we focused on improving efficiency. Through repeated incremental improvements, we reduced the number of subject records that required daily monitoring from 40 to 6 per day, and decreased daily effort from 4.5 to 1.5 h/day. By applying process improvement methods to the design of a Neuroscience ICU data repository, we achieved a threefold improvement in efficiency and increased accuracy. Although individual barriers to data collection will vary from institution to institution, a focus on process improvement is critical to overcoming these barriers.

76 FR 18425 - Energy Conservation Program: Data Collection and Comparison With Forecasted Unit Sales of Five...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-04

... Program: Data Collection and Comparison With Forecasted Unit Sales of Five Lamp Types AGENCY: Office of...) Collect unit sales data for each of the five lamp types for calendar years 1990 through 2006 in order to... continue to track rough service lamp sales data and will not initiate regulatory action for this lamp type...

Evaluating the potential of structure from motion technology for forest inventory data collection

Treesearch

Demetrios Gatziolis

2015-01-01

Since the inception of its annual plot design, the Forest Inventory and Analysis (FIA) Program of the USDA Forest Service has integrated into its data collection operations elements of digital technology, including data loggers, laser distance recorders and clinometers, and GPS devices. Data collected with the assistance of this technology during a typical plot visit...

Soils as an indicator of forest health: a guide to the collection, analysis, and interpretation of soil indicator data in the Forest Inventory and Analysis program

Treesearch

Katherine P O' Neill; Michael C. Amacher; Charles H. Perry

2005-01-01

Documents the types of data collected as part of the Forest Inventory and Analysis soil indicator, the field and laboratory methods used, and the rationale behind these data collection procedures. Guides analysts and researchers on incorporating soil indicator data into reports and research studies.

Development and Evaluation of an iPad App for Measuring the Cost of a Nutritious Diet.

PubMed

Palermo, Claire; Perera-Schulz, Dharani; Kannan, Anitha; Truby, Helen; Shiell, Alan; Emilda, Sindhu; Quenette, Steve

2014-12-04

Monitoring food costs informs governments of the affordability of healthy diets. Many countries have adopted a standardized healthy food basket. The Victorian Healthy Food Basket contains 44 food items necessary to meet the nutritional requirements of four different Australian family types for a fortnight. The aim of this study was to describe the development of a new iPad app as core to the implementation of the Victorian Healthy Food Basket. The app significantly automates the data collection. We evaluate if the new technology enhanced the quality and efficacy of the research. Time taken for data collection and entry was recorded. Semi-structured evaluative interviews were conducted with five field workers during the pilot of the iPad app. Field workers were familiar with previous manual data collection methods. Qualitative process evaluation data was summarized against key evaluation questions. Field workers reported that using the iPad for data collection resulted in increased data accuracy, time savings, and efficient data management, and was preferred over manual collection. Portable digital devices may be considered to improve and extend data collection in the field of food cost monitoring.

Macroinvertebrate community sample collection methods and data collected from Sand Creek and Medano Creek, Great Sand Dunes National Park and Preserve, Colorado, 2005–07

USGS Publications Warehouse

Ford, Morgan A.; Zuellig, Robert E.; Walters, David M.; Bruce, James F.

2016-08-11

This report provides a table of site descriptions, sample information, and semiquantitative aquatic macroinvertebrate data from 105 samples collected between 2005 and 2007 from 7 stream sites within the Sand Creek and Medano Creek watersheds in Great Sand Dunes National Park and Preserve, Saguache County, Colorado. Additionally, a short description of sample collection methods and laboratory sample processing procedures is presented. These data were collected in anticipation of assessing the potential effects of fish toxicants on macroinvertebrates.

Validation of electronic systems to collect patient-reported outcome (PRO) data-recommendations for clinical trial teams: report of the ISPOR ePRO systems validation good research practices task force.

PubMed

Zbrozek, Arthur; Hebert, Joy; Gogates, Gregory; Thorell, Rod; Dell, Christopher; Molsen, Elizabeth; Craig, Gretchen; Grice, Kenneth; Kern, Scottie; Hines, Sheldon

2013-06-01

Outcomes research literature has many examples of high-quality, reliable patient-reported outcome (PRO) data entered directly by electronic means, ePRO, compared to data entered from original results on paper. Clinical trial managers are increasingly using ePRO data collection for PRO-based end points. Regulatory review dictates the rules to follow with ePRO data collection for medical label claims. A critical component for regulatory compliance is evidence of the validation of these electronic data collection systems. Validation of electronic systems is a process versus a focused activity that finishes at a single point in time. Eight steps need to be described and undertaken to qualify the validation of the data collection software in its target environment: requirements definition, design, coding, testing, tracing, user acceptance testing, installation and configuration, and decommissioning. These elements are consistent with recent regulatory guidance for systems validation. This report was written to explain how the validation process works for sponsors, trial teams, and other users of electronic data collection devices responsible for verifying the quality of the data entered into relational databases from such devices. It is a guide on the requirements and documentation needed from a data collection systems provider to demonstrate systems validation. It is a practical source of information for study teams to ensure that ePRO providers are using system validation and implementation processes that will ensure the systems and services: operate reliably when in practical use; produce accurate and complete data and data files; support management control and comply with any existing regulations. Furthermore, this short report will increase user understanding of the requirements for a technology review leading to more informed and balanced recommendations or decisions on electronic data collection methods. Copyright © 2013 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

NASA Cloud-Based Climate Data Services

NASA Astrophysics Data System (ADS)

McInerney, M. A.; Schnase, J. L.; Duffy, D. Q.; Tamkin, G. S.; Strong, S.; Ripley, W. D., III; Thompson, J. H.; Gill, R.; Jasen, J. E.; Samowich, B.; Pobre, Z.; Salmon, E. M.; Rumney, G.; Schardt, T. D.

2012-12-01

Cloud-based scientific data services are becoming an important part of NASA's mission. Our technological response is built around the concept of specialized virtual climate data servers, repetitive cloud provisioning, image-based deployment and distribution, and virtualization-as-a-service (VaaS). A virtual climate data server (vCDS) is an Open Archive Information System (OAIS) compliant, iRODS-based data server designed to support a particular type of scientific data collection. iRODS is data grid middleware that provides policy-based control over collection-building, managing, querying, accessing, and preserving large scientific data sets. We have deployed vCDS Version 1.0 in the Amazon EC2 cloud using S3 object storage and are using the system to deliver a subset of NASA's Intergovernmental Panel on Climate Change (IPCC) data products to the latest CentOS federated version of Earth System Grid Federation (ESGF), which is also running in the Amazon cloud. vCDS-managed objects are exposed to ESGF through FUSE (Filesystem in User Space), which presents a POSIX-compliant filesystem abstraction to applications such as the ESGF server that require such an interface. A vCDS manages data as a distinguished collection for a person, project, lab, or other logical unit. A vCDS can manage a collection across multiple storage resources using rules and microservices to enforce collection policies. And a vCDS can federate with other vCDSs to manage multiple collections over multiple resources, thereby creating what can be thought of as an ecosystem of managed collections. With the vCDS approach, we are trying to enable the full information lifecycle management of scientific data collections and make tractable the task of providing diverse climate data services. In this presentation, we describe our approach, experiences, lessons learned, and plans for the future.; (A) vCDS/ESG system stack. (B) Conceptual architecture for NASA cloud-based data services.

Building Energy Monitoring and Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hong, Tianzhen; Feng, Wei; Lu, Alison

This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyzemore » good building energy data to provide valuable and actionable information for key stakeholders.« less

BOREAS Level-0 C-130 Navigation Data

NASA Technical Reports Server (NTRS)

Strub, Richard; Newcomer, Jeffrey A.; Domingues, Roseanne; Hall, Forrest G. (Editor)

2000-01-01

The level-0 C-130 navigation data files contain aircraft attitude and position information acquired during the digital image and photographic data collection missions over the BOReal Ecosystem-Atmosphere Study (BOREAS) study areas. Various portions of the navigation data were collected at 1, 10, and 30 Hz. The level-0 C-130 navigation data collected for BOREAS in 1994 were improved over previous years in that the C-130 onboard navigation system was upgraded to output inertial navigation parameters every 1/30th of a second (i.e., 30 Hz). This upgrade was encouraged by users of the aircraft scanner data with the hope of improving the relative geometric positioning of the collected images.

77 FR 43091 - Proposed Information Collection Activity; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-23

... collection activity includes a follow-up survey designed to assess how professional customers are using... Information Collection Activity; Comment Request Title: Data Collection Plan for a Follow-up Survey with Child... families. The follow-up survey will gather data about how professionals use Child Welfare Information...

75 FR 67704 - Notice of Submission for OMB Review

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-03

... collection under this request are governed by 34 CFR 304.1-304.32 of the The data collection under this... Federal government to ensure the goals of the program are achieved, certain data collection, record.... ACTION: Comment request. SUMMARY: The Director, Information Collection Clearance Division, Regulatory...

78 FR 32652 - Agency Information Collections Activities: Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-31

... Reauthorization Act of 2009 (CHIPRA) Quality Demonstration Grant Program: Survey Data Collection.'' In accordance... Grant Program: Survey Data Collection. The Children's Health Insurance Program Reauthorization Act of... other States in designing and implementing their projects. Of the 10 grantee States selected, six are...

77 FR 2510 - Proposed Information Collection; Comment Request; Quarterly Financial Report

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-18

... scope of collection. The current collection includes the Manufacturing, Mining, Wholesale Trade, Retail... economic indicator that also provides financial data essential to the estimation of key Government measures of national economic performance. The importance of this data collection is reflected by the granting...

Open-source hardware is a low-cost alternative for scientific instrumentation and research

USDA-ARS?s Scientific Manuscript database

Scientific research requires the collection of data in order to study, monitor, analyze, describe, or understand a particular process or event. Data collection efforts are often a compromise: manual measurements can be time-consuming and labor-intensive, resulting in data being collected at a low f...

Privacy Impact Assessment for the Criminal Investigate Index and Files for the Office of Criminal Enforcement, Forensics and Training

EPA Pesticide Factsheets

This system collects contact and other information related to the Criminal Investigative Division's cases. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

78 FR 33837 - Agency Information Collection Activities; Submission to the Office of Management and Budget for...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-05

... specific information/performance data for analysis of the experiments. This effort will assist the... Sites Data Collection Instrument AGENCY: Federal Student Aid (FSA), Department of Education (ED). ACTION... understand the Department's information collection requirements and provide the requested data in the desired...

"Data like a movie instead of a photo” - continuous water sensor data collection, 2015 Lake MI CSMI

EPA Science Inventory

During the 2015 Lake Michigan CSMI effort we collected continuous undulating tow and autonomous glider data including conductivity, temperature, depth, fluorescence, and backscatter across the northern half of Lake Michigan. During the same period, we also collected discreet vert...

12 CFR 563e.42 - Data collection, reporting, and disclosure.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Data collection, reporting, and disclosure... COMMUNITY REINVESTMENT Records, Reporting, and Disclosure Requirements § 563e.42 Data collection, reporting... business or small farm loan originated or purchased by the savings association: (1) A unique number or...

Museum Data Collection Report and Analysis

ERIC Educational Resources Information Center

Wharton, Carole; DeBruin, Todd

2005-01-01

Commissioned by the Institute of Museum and Library Services (IMLS) to assess the status of data collection activities in the museum community, this report reinforces recommendations made by a similar 1998 study, addressing the need for systematic data collection to inform public policy and museum management decision-making. The report examines a…

Causative factors and countermeasures for rural and suburban pedestrian accidents : accident data collection and analysis

DOT National Transportation Integrated Search

1977-03-01

The objectives of the study were to collect and analyze data on rural pedestrian accidents and to identify potential countermeasures. Data on a stratified random sample of over 1,500 rural and suburban accidents from six states was collected during i...

Privacy Impact Assessment for the Confidential Business Information Records Access System for the Toxic Control Substances Act

EPA Pesticide Factsheets

This system collects submission data from the Toxic Substances Control Act (TSCA) and contact information for EPA contractors and employees who are CBI cleared. Learn how this data is collected, how it will be used, and the purpose of data collection.

Causative factors and countermeasures for rural and suburban pedestrian accidents : accident data collection and analysis--appendices

DOT National Transportation Integrated Search

1977-06-01

The objectives of the study were to collect and analyze data on rural pedestrian accidents and to identify potential countermeasures. Data on a stratified random sample of over 1,500 rural and suburban accidents from six states was collected during i...

Using Data Visualization to Examine an Academic Library Collection

ERIC Educational Resources Information Center

Finch, Jannette L.; Flenner, Angela R.

2016-01-01

The authors generated data visualizations to compare sections of the library book collection, expenditures in those areas, student enrollment in majors and minors, and number of courses. The visualizations resulting from the entered data provide an excellent starting point for conversations about possible imbalances in the collection and point to…

Empirical Data Collection and Analysis Using Camtasia and Transana

ERIC Educational Resources Information Center

Thorsteinsson, Gisli; Page, Tom

2009-01-01

One of the possible techniques for collecting empirical data is video recordings of a computer screen with specific screen capture software. This method for collecting empirical data shows how students use the BSCWII (Be Smart Cooperate Worldwide--a web based collaboration/groupware environment) to coordinate their work and collaborate in…

77 FR 69660 - Data Collection Available for Public Comments and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-20

... research firm to conduct quantitative data analysis of existing and available data to sketch the current... on a new information collection activity that is part of an ongoing research program. DATES: Submit... the collections to Emily Bruno, Director of Research and Policy, National Women's Business Council...

75 FR 24958 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-06

.... Previously approved were the effectiveness, implementation, and cost surveys with students, school principals... students will participate in the Effectiveness Follow-Up Survey data collection, with 20 teachers and 40... students and interviews with teachers in the urban schools. Data collection staff will use new interview...

Diurnal Soil Temperature Effects within the Globe[R] Program Dataset

ERIC Educational Resources Information Center

Witter, Jason D.; Spongberg, Alison L.; Czajkowski, Kevin P.

2007-01-01

Long-term collection of soil temperature with depth is important when studying climate change. The international program GLOBE[R] provides an excellent opportunity to collect such data, although currently endorsed temperature collection protocols need to be refined. To enhance data quality, protocol-based methodology and automated data logging,…

75 FR 51166 - Departmental Offices; Proposed Collections; Comment Requests

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-18

... awareness of the importance of collecting economic and financial data, including more frequent and accurate data regarding each country's external claims and liabilities. As a result, the United States needs to collect certain data on a more frequent and accurate basis, including monthly holdings of long-term...

Alternative Fuel Light-Duty Vehicles: Summary of Results From the National Renewable Energy Laboratory's Vehicle Evaluation Data Collection Efforts

DOT National Transportation Integrated Search

1996-05-01

The U.S. Department of Energy's National Renewable Energy Laboratory conducted : a data collection project for light-duty, alternative fuel vehicles (AFVs) for : about 4 years. The project has collected data on 10 vehicle models (from the : original ...

Management Data for Selection Decisions in Building Library Collections.

ERIC Educational Resources Information Center

Hamaker, Charles A.

1992-01-01

Discusses the use of library management data, particularly circulation data, in making selection decisions for library collection development based on experiences at Louisiana State University. Development of a collection based on actual use rather than perceived research needs is considered, and the decision-making process for serials…

78 FR 48430 - Agency Information Collection Activities; Submission to the Office of Management and Budget for...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-08

... Postsecondary Education Data System (IPEDS) 2013- 2016 AGENCY: Department of Education (ED), Institute of... Integrated Postsecondary Education Data System (IPEDS) is a web-based data collection system designed to... DEPARTMENT OF EDUCATION [Docket No.: ED-2013-ICCD-0029] Agency Information Collection Activities...

48 CFR 736.603 - Collecting data on and appraising firms' qualifications.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Collecting data on and... Architect-Engineer Services 736.603 Collecting data on and appraising firms' qualifications. An USAID Consultant Registry Information System (ACRIS) is maintained in Washington by the USAID Office of Small and...

48 CFR 736.603 - Collecting data on and appraising firms' qualifications.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 48 Federal Acquisition Regulations System 5 2011-10-01 2011-10-01 false Collecting data on and... Architect-Engineer Services 736.603 Collecting data on and appraising firms' qualifications. An USAID Consultant Registry Information System (ACRIS) is maintained in Washington by the USAID Office of Small and...

48 CFR 736.603 - Collecting data on and appraising firms' qualifications.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 48 Federal Acquisition Regulations System 5 2012-10-01 2012-10-01 false Collecting data on and... Architect-Engineer Services 736.603 Collecting data on and appraising firms' qualifications. An USAID Consultant Registry Information System (ACRIS) is maintained in Washington by the USAID Office of Small and...

48 CFR 736.603 - Collecting data on and appraising firms' qualifications.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 48 Federal Acquisition Regulations System 5 2013-10-01 2013-10-01 false Collecting data on and... Architect-Engineer Services 736.603 Collecting data on and appraising firms' qualifications. An USAID Consultant Registry Information System (ACRIS) is maintained in Washington by the USAID Office of Small and...

48 CFR 736.603 - Collecting data on and appraising firms' qualifications.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 48 Federal Acquisition Regulations System 5 2014-10-01 2014-10-01 false Collecting data on and... Architect-Engineer Services 736.603 Collecting data on and appraising firms' qualifications. An USAID Consultant Registry Information System (ACRIS) is maintained in Washington by the USAID Office of Small and...

39 CFR 3010.43 - Data collection plan.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 39 Postal Service 1 2010-07-01 2010-07-01 false Data collection plan. 3010.43 Section 3010.43... collection plan. The Postal Service shall include with any notice of agreement a detailed plan for providing data or information on actual experience under the agreement sufficient to allow evaluation of whether...

42 CFR 457.720 - State plan requirement: State assurance regarding data collection, records, and reports.

Code of Federal Regulations, 2010 CFR

2010-10-01

... data collection, records, and reports. 457.720 Section 457.720 Public Health CENTERS FOR MEDICARE... PROGRAMS (SCHIPs) ALLOTMENTS AND GRANTS TO STATES Strategic Planning, Reporting, and Evaluation § 457.720 State plan requirement: State assurance regarding data collection, records, and reports. A State plan...

Tips from the Trenches

ERIC Educational Resources Information Center

Garofalo, Denise A.

2012-01-01

Libraries are all about collecting data. When it comes to collection development and assessment of e-resources, collecting data on usage of resources aids in decision making regarding these resources and provides data-rich evidence to support the value for the user of these resources. However, the author asserts that libraries should take some…