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; Mary Cooper; Dianne Reeves; Bob Lanese; Cindy Helba; Suzanne M. Miller; Eric A. Ross

doi:10.1136/amiajnl-2013-001763

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, Mary Cooper, Dianne Reeves, Bob Lanese, Cindy Helba, Suzanne M. Miller, Eric A. Ross

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

Objective: In 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). Methods: The 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. Results: UML 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. Conclusions: Behavioral 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.

Original language	English
Pages (from-to)	642-649
Number of pages	8
Journal	Journal of the American Medical Informatics Association
Volume	21
Issue number	4
DOIs	https://doi.org/10.1136/amiajnl-2013-001763
State	Published - 2014

Access to Document

10.1136/amiajnl-2013-001763

Cite this

Min, H., Ohira, R., Collins, M. A., Bondy, J., Avis, N. E., Tchuvatkina, O., Courtney, P. K., Moser, R. P., Shaikh, A. R., Hesse, B. W., Cooper, M., Reeves, D., Lanese, B., Helba, C., Miller, S. M., & Ross, E. A. (2014). Sharing behavioral data through a grid infrastructure using data standards. Journal of the American Medical Informatics Association, 21(4), 642-649. https://doi.org/10.1136/amiajnl-2013-001763

@article{aa94395e32df4d13a7541cb5f852ae68,

title = "Sharing behavioral data through a grid infrastructure using data standards",

abstract = "Objective: In 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). Methods: The 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. Results: UML 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. Conclusions: Behavioral 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.",

author = "Hua Min and Riki Ohira and Collins, {Michael A.} and Jessica Bondy and Avis, {Nancy E.} and Olga Tchuvatkina and Courtney, {Paul K.} and Moser, {Richard P.} and Shaikh, {Abdul R.} and Hesse, {Bradford W.} and Mary Cooper and Dianne Reeves and Bob Lanese and Cindy Helba and Miller, {Suzanne M.} and Ross, {Eric A.}",

note = "Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.",

year = "2014",

doi = "10.1136/amiajnl-2013-001763",

language = "English",

volume = "21",

pages = "642--649",

journal = "Journal of the American Medical Informatics Association",

issn = "1067-5027",

publisher = "Oxford University Press",

number = "4",

}

Min, H, Ohira, R, Collins, MA, Bondy, J, Avis, NE, Tchuvatkina, O, Courtney, PK, Moser, RP, Shaikh, AR, Hesse, BW, Cooper, M, Reeves, D, Lanese, B, Helba, C, Miller, SM & Ross, EA 2014, 'Sharing behavioral data through a grid infrastructure using data standards', Journal of the American Medical Informatics Association, vol. 21, no. 4, pp. 642-649. https://doi.org/10.1136/amiajnl-2013-001763

TY - JOUR

T1 - Sharing behavioral data through a grid infrastructure using data standards

AU - Min, Hua

AU - Ohira, Riki

AU - Collins, Michael A.

AU - Bondy, Jessica

AU - Avis, Nancy E.

AU - Tchuvatkina, Olga

AU - Courtney, Paul K.

AU - Moser, Richard P.

AU - Shaikh, Abdul R.

AU - Hesse, Bradford W.

AU - Cooper, Mary

AU - Reeves, Dianne

AU - Lanese, Bob

AU - Helba, Cindy

AU - Miller, Suzanne M.

AU - Ross, Eric A.

N1 - Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

PY - 2014

Y1 - 2014

N2 - Objective: In 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). Methods: The 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. Results: UML 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. Conclusions: Behavioral 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.

AB - Objective: In 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). Methods: The 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. Results: UML 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. Conclusions: Behavioral 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.

UR - http://www.scopus.com/inward/record.url?scp=84902379213&partnerID=8YFLogxK

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=purepublist2023&SrcAuth=WosAPI&KeyUT=WOS:000337660600016&DestLinkType=FullRecord&DestApp=WOS

U2 - 10.1136/amiajnl-2013-001763

DO - 10.1136/amiajnl-2013-001763

M3 - Article

C2 - 24076749

SN - 1067-5027

VL - 21

SP - 642

EP - 649

JO - Journal of the American Medical Informatics Association

JF - Journal of the American Medical Informatics Association

IS - 4

ER -

Sharing behavioral data through a grid infrastructure using data standards

Abstract

Access to Document

Other files and links

Fingerprint

Cite this