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dc.contributor.author de Carvalho, EC
dc.contributor.author Batilana, AP
dc.contributor.author Simkins, J
dc.contributor.author Martins, H
dc.contributor.author Shah, J
dc.contributor.author Rajgor, D
dc.contributor.author Shah, A
dc.contributor.author Rockart, S
dc.contributor.author Pietrobon, R
dc.coverage.spatial United States
dc.date.accessioned 2011-06-21T17:31:28Z
dc.date.issued 2010-02-19
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/20174560
dc.identifier.citation PLoS One, 2010, 5 (2), pp. e9314 - ?
dc.identifier.uri http://hdl.handle.net/10161/4527
dc.description.abstract BACKGROUND: Sharing of epidemiological and clinical data sets among researchers is poor at best, in detriment of science and community at large. The purpose of this paper is therefore to (1) describe a novel Web application designed to share information on study data sets focusing on epidemiological clinical research in a collaborative environment and (2) create a policy model placing this collaborative environment into the current scientific social context. METHODOLOGY: The Database of Databases application was developed based on feedback from epidemiologists and clinical researchers requiring a Web-based platform that would allow for sharing of information about epidemiological and clinical study data sets in a collaborative environment. This platform should ensure that researchers can modify the information. A Model-based predictions of number of publications and funding resulting from combinations of different policy implementation strategies (for metadata and data sharing) were generated using System Dynamics modeling. PRINCIPAL FINDINGS: The application allows researchers to easily upload information about clinical study data sets, which is searchable and modifiable by other users in a wiki environment. All modifications are filtered by the database principal investigator in order to maintain quality control. The application has been extensively tested and currently contains 130 clinical study data sets from the United States, Australia, China and Singapore. Model results indicated that any policy implementation would be better than the current strategy, that metadata sharing is better than data-sharing, and that combined policies achieve the best results in terms of publications. CONCLUSIONS: Based on our empirical observations and resulting model, the social network environment surrounding the application can assist epidemiologists and clinical researchers contribute and search for metadata in a collaborative environment, thus potentially facilitating collaboration efforts among research communities distributed around the globe.
dc.format.extent e9314 - ?
dc.language ENG
dc.language.iso en_US en_US
dc.relation.ispartof PLoS One
dc.relation.isversionof 10.1371/journal.pone.0009314
dc.subject Access to Information
dc.subject Australia
dc.subject Biomedical Research
dc.subject China
dc.subject Computer-Assisted Instruction
dc.subject Cooperative Behavior
dc.subject Electronic Mail
dc.subject Humans
dc.subject Information Dissemination
dc.subject Information Storage and Retrieval
dc.subject International Cooperation
dc.subject Internet
dc.subject Models, Theoretical
dc.subject Public Policy
dc.subject Reproducibility of Results
dc.subject Singapore
dc.subject Software
dc.subject United States
dc.title Application description and policy model in collaborative environment for sharing of information on epidemiological and clinical research data sets.
dc.title.alternative en_US
dc.type Journal Article
dc.description.version Version of Record en_US
duke.date.pubdate 2010-2-19 en_US
duke.description.endpage e9314 en_US
duke.description.issue 2 en_US
duke.description.startpage e9314 en_US
duke.description.volume 5 en_US
dc.relation.journal Plos One en_US
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/20174560
pubs.issue 2
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Faculty
pubs.publication-status Published online
pubs.volume 5
dc.identifier.eissn 1932-6203

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