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Simplifying research access to genomics and health data with Library Cards.
Cabili, Moran N; Carey, Knox; Dyke, Stephanie O M; Brookes, Anthony J; Fiume, Marc; Jeanson, Francis; Kerry, Giselle; Lash, Alex; Sofia, Heidi; Spalding, Dylan; Tasse, Anne-Marie; Varma, Susheel; Pandya, Ravi.
Afiliación
  • Cabili MN; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Dyke SOM; McGill University, Montreal, Canada H3A 0G1.
  • Brookes AJ; University of Leicester, Department of Genetics & Genome Biology, Leicester, LE1 7RH, UK.
  • Fiume M; DNAstack, Toronto, Canada M5G 1M1.
  • Jeanson F; IAMOPEN, Toronto, Canada M4E 2J1.
  • Kerry G; European Molecular Biology Laboratory (EMBL-EBI), Cambridge, CB10 1SD, UK.
  • Lash A; Simons Foundation, New York, NY 10010, USA.
  • Sofia H; NHGRI, NIH, Bethesda, MD 20892, USA.
  • Spalding D; European Molecular Biology Laboratory (EMBL-EBI), Cambridge, CB10 1SD, UK.
  • Tasse AM; McGill University, Montreal, Canada H3A 0G1.
  • Varma S; European Molecular Biology Laboratory (EMBL-EBI), Cambridge, CB10 1SD, UK.
  • Pandya R; Microsoft, Redmond, WA 98052, USA.
Sci Data ; 5: 180039, 2018 03 14.
Article en En | MEDLINE | ID: mdl-29537396
ABSTRACT
The volume of genomics and health data is growing rapidly, driven by sequencing for both research and clinical use. However, under current practices, the data is fragmented into many distinct datasets, and researchers must go through a separate application process for each dataset. This is time-consuming both for the researchers and the data stewards, and it reduces the velocity of research and new discoveries that could improve human health. We propose to simplify this process, by introducing a standard Library Card that identifies and authenticates researchers across all participating datasets. Each researcher would only need to apply once to establish their bona fides as a qualified researcher, and could then use the Library Card to access a wide range of datasets that use a compatible data access policy and authentication protocol.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Sci Data Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Sci Data Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos