Evidence map›Paper›PMID 24076749›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Sharing behavioral data through a grid infrastructure using data standards.

Hua Min, Riki Ohira, Michael A Collins, Jessica Bondy, Nancy E Avis, Olga Tchuvatkina, Paul K Courtney, Richard P Moser, Abdul R Shaikh, Bradford W Hesse and 6 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. An exploratory study using an openEHR 2-level modeling approach to represent common data elements.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  5. Establishment of Kawasaki disease database based on metadata standard.Database : the journal of biological databases and curation · 2016
    Article
  6. Article
  7. A nursing information model process for interoperability.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  8. From Big Data to Knowledge in the Social Sciences.The Annals of the American Academy of Political and Social Science · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Hua MinDepartment 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.
Riki OhiraBooz Allen Hamilton, Rockville, Maryland, USA.
Michael A CollinsFox Chase Cancer Center, Temple University Health, Philadelphia, Pennsylvania, USA.
Jessica BondyUniversity of Colorado Denver, Denver, Colorado, USA.
Nancy E AvisDepartment of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Olga TchuvatkinaFox Chase Cancer Center, Temple University Health, Philadelphia, Pennsylvania, USA.
Paul K CourtneyDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Richard P MoserBehavioral Research Program, National Cancer Institute, Rockville, Maryland, USA.
Abdul R ShaikhPricewaterhouseCoopers LLP, McLean, Virginia, USA.
Bradford W HesseBehavioral Research Program, National Cancer Institute, Rockville, Maryland, USA.
Mary CooperScience Applications International Corporation, McLean, Virginia, USA.
Dianne ReevesNational Cancer Institute, Rockville, Maryland, USA.
Bob LaneseIreland Cancer Center, Case Western Reserve University, Cleveland, Ohio, USA.
Cindy HelbaWestat, Rockville, Maryland, USA.
Suzanne M MillerFox Chase Cancer Center, Temple University Health, Philadelphia, Pennsylvania, USA.
Eric A RossFox Chase Cancer Center, Temple University Health, Philadelphia, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn an effort to standardize behavioral measures and their data representation, the present study develops a methodology for incorporating measures found in the National Cancer Institute's (NCI) grid-enabled measures (GEM) portal, a repository for behavioral and social measures, into the cancer data standards registry and repository (caDSR).

methodsThe methodology consists of four parts for curating GEM measures into the caDSR: (1) develop unified modeling language (UML) models for behavioral measures; (2) create common data elements (CDE) for UML components; (3) bind CDE with concepts from the NCI thesaurus; and (4) register CDE in the caDSR.

resultsUML models have been developed for four GEM measures, which have been registered in the caDSR as CDE. New behavioral concepts related to these measures have been created and incorporated into the NCI thesaurus. Best practices for representing measures using UML models have been utilized in the practice (eg, caDSR). One dataset based on a GEM-curated measure is available for use by other systems and users connected to the grid.

conclusionsBehavioral and population science data can be standardized by using and extending current standards. A new branch of CDE for behavioral science was developed for the caDSR. It expands the caDSR domain coverage beyond the clinical and biological areas. In addition, missing terms and concepts specific to the behavioral measures addressed in this paper were added to the NCI thesaurus. A methodology was developed and refined for curation of behavioral and population science data.

Indexed as

RegistriesBehavioral SciencesBiomedical ResearchComputer SecurityDatabases, FactualHealth BehaviorHumansInformation DisseminationInformation Storage and RetrievalInternetMedical InformaticsNational Cancer Institute (U.S.)United StatesBehavioral MeasureCommon Data ElementData SharingGrid InfrastructureOntologyVocabulary

Identifiers

PMID24076749
PMCPMC4078270

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.