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Related Concept Videos

Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...

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Sharing behavioral data through a grid infrastructure using data standards.

Hua Min1, Riki Ohira2, Michael A Collins3

  • 1Department of Health Administration and Policy, College of Health and Human Services, George Mason University, Fairfax, Virginia, USA Fox Chase Cancer Center, Temple University Health, Philadelphia, Pennsylvania, USA.

Journal of the American Medical Informatics Association : JAMIA
|October 1, 2013
PubMed
Summary
This summary is machine-generated.

This study standardizes behavioral measures by integrating the National Cancer Institute's (NCI) Grid-Enabled Measures (GEM) into the cancer Data Standards Registry (caDSR), enhancing data representation for cancer research.

Keywords:
Behavioral MeasureCommon Data ElementData SharingGrid InfrastructureOntologyVocabulary

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Area of Science:

  • Behavioral and population sciences
  • Cancer data standards
  • Health informatics

Background:

  • Standardizing behavioral measures is crucial for consistent data representation in cancer research.
  • The National Cancer Institute's (NCI) Grid-Enabled Measures (GEM) portal hosts valuable behavioral and social measures.
  • Integrating GEM measures into the cancer Data Standards Registry (caDSR) requires a defined methodology.

Purpose of the Study:

  • To develop a methodology for incorporating NCI's GEM measures into the caDSR.
  • To standardize behavioral and social measures for cancer research data.
  • To enhance the caDSR's domain coverage beyond clinical and biological data.

Main Methods:

  • Developed Unified Modeling Language (UML) models for behavioral measures.
  • Created Common Data Elements (CDE) for UML components.
  • Bound CDE with NCI Thesaurus concepts and registered them in the caDSR.

Main Results:

  • Successfully developed UML models for four GEM measures and registered them as CDE in the caDSR.
  • Created and integrated new behavioral concepts into the NCI Thesaurus.
  • Established a usable dataset from a GEM-curated measure and demonstrated best practices for measure representation.

Conclusions:

  • Current standards can be extended to standardize behavioral and population science data.
  • A new CDE branch for behavioral science was established within the caDSR, expanding its scope.
  • The developed methodology refines the curation of behavioral and population science data for broader use.