CommentaryData Sharing

To Share or Not To Share: That Is Not the Question

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Science Translational Medicine  19 Dec 2012:
Vol. 4, Issue 165, pp. 165cm15
DOI: 10.1126/scitranslmed.3004454


  • Fig. 1.

    Data-sharing models. To avoid multiple pairwise agreements among institutions, a broker for data can be created. Data contributors specify their requirements for data access by users and sign a contributor data use agreement (DUA). Completing a quality assurance (QA) process is required for data, tool, and VM contributions. Data users also sign a DUA that complies with the requirements of the contributor, so that contributors do not have to negotiate every data-sharing engagement with different institutions. Three models of sharing are displayed. Model 1 is the traditional model, in which users download data for use in their local computers. In model 2, the remote desktop model, users connect to a center but access and analyze data within the center using existing, or their own, algorithms. Model 3 involves virtualization and distributed computation, in which users import software environments (virtual machines, or VMs) to analyze their data using their local computational infrastructures.


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