Grid-Enabled Measures
Grid-Enabled Measures (GEM) is an initiative of the National Institutes of Health (NIH) National Cancer Institute (NCI). GEM is a web-based collaborative platform and database enabling researchers to exchange harmonized data about behavioral constructs, measures, and datasets.[1][2]
GEM has two goals:
- "Promote use of standardized measures which are tied to theoretically based constructs" and
- "Facilitate sharing of harmonized data resulting from the use of standardized measures".[1]
GEM has been proposed as part of the solution to the problem of tracking constructs in electronic medical records[3] and for control of construct proliferation.[4]
GEM has been recognized in the academic literature as an instantiation of cyberinfrastructure for research standardization,[5] a tool for dialogue and consensus building,[6] a tool to facilitate use of linked data and interoperable data systems,[7] and in case reports of expert panel measure categorizations.[8] The GEM database, uses “web 2.0” functionality to solicit, comment, vet, and select measures from the behavioral and population science communities in open and transparent ways.[1] Scientists are taking advantage of information sharing and collaboration made possible by networking technologies. This new phenomenon is referred to by some as Science 2.0.[1] As Science 2.0[9] gains momentum in the science community, giving a glimpse of future scientific publishing and data sharing, the GEM database is distinct in that it uses these functionalities to help scientists facilitate discovery in a massively connected and participative environment.
References
[edit]- ^ a b c d Moser, Richard P.; Hesse, Bradford W.; Shaikh, Abdul R.; Courtney, Paul; Morgan, Glen; Augustson, Erik, Kobrin, Sarah; Levin, Kerry; Helba, Christina; Garner, David; Dunn, Marsha; Coa, Kisha (2011). "Grid-Enabled Measures: Using Science 2.0 to Standardize Measures and Share Data". American Journal of Preventive Medicine. 40 (5): 1532–1534. doi:10.1016/j.amepre.2011.01.004. PMC 3088871. PMID 21521586.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Rabin, Borsika A.; Purcell, Peyton; Naveed, Sana; Moser, Richard P.; Henton, Michelle D.; Proctor, Enola K.; Brownson, Ross C.; Glasgow, Rusell (2012). "Advancing the application, quality and harmonization of implementation science measures". Implementation Science. 7: 1–11. doi:10.1186/1748-5908-7-119. PMC 3541131. PMID 23231885.
- ^ Glasgow, Russell E.; Kaplan, Robert M.; Ockene, Judith K.; Fisher, Edwin B.; Emmons, Karen M. (March 2012). "Patient-Reported Measures Of Psychosocial Issues And Health Behavior Should Be Added To Electronic Health Records". Health Affairs. 31 (3): 497–504. doi:10.1377/hlthaff.2010.1295. PMID 22392660.
- ^ Larsen, Kai R.; Voronovich, Zoya A.; Cook, Paul F.; Pedro, Leli W. (2013). "Addicted to constructs: science in reverse?". Addiction. 108 (9): 1532–1534. doi:10.1111/add.12227. PMID 23718564.
- ^ Shaikh, Abdul R.; Prabhu Das, Irene; Vinson, Cynthia A.; Spring, Bonnie (2011). "Cyberinfrastructure for consumer health". American Journal of Preventive Medicine. 40 (5): S91–S96. doi:10.1016/j.amepre.2011.02.012. PMID 21521603.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Parry, Carla; Kent, Erin E.; Forsythe, Laura P.; Alfano, Cathering M.; Rowland, Julia H. (2013). "Can't see the forest for the care plan: a call to revisit the context of care planning". Journal of Clinical Oncology. 31 (21): 2651–2653. doi:10.1200/jco.2012.48.4618. PMC 3709053. PMID 23796989.
- ^ Aberethy, Amy P.; Wheeler, Jane L.; Courtney, Paul K.; Keefe, Francies J. (2011). "Supporting implementation of evidence-based behavioral interventions: the role of data liquidity in facilitating translational behavioral medicine". Translational Behavioral Medicine. 1 (1): 45–52. doi:10.1007/s13142-011-0024-4. PMC 3717701. PMID 24073032.
- ^ Tai, Betty; Boyle, Maureen; Ghitza, Udi; Kaplan, Robert M.; Clark, H. Wesley; Gersing, Kenneth (2012). "Meaningful Use of Electronic Behavioral Health data in Primary Health Care". Science Translational Medicine. 4 (119): 1–3. doi:10.1126/scitranslmed.3003324. PMID 22301552. S2CID 206679212.
- ^ Burke, Adrienne. "From open-access journals to research-review blogs, networked knowledge has made science more accessible to more people around the globe than we could have imagined 20 years ago". Seedmagazine.com. Archived from the original on 23 May 2010. Retrieved 10 February 2015.
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