A "data sharing trust" model for rapid, collaborative science.

Autor:	Chan V; Department of Microbiology and Immunology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA; Department of Pathology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA; ImmunoX Initiative, Department of Microbiology and Immunology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA., Gherardini PF; Parker Institute for Cancer Immunotherapy, 1 Letterman Drive, Suite D3500, San Francisco, CA 94129-1504., Krummel MF; Department of Pathology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA; ImmunoX Initiative, Department of Microbiology and Immunology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA. Electronic address: matthew.krummel@ucsf.edu., Fragiadakis GK; ImmunoX Initiative, Department of Microbiology and Immunology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA; UCSF CoLabs, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA; Division of Rheumatology, Department of Medicine, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA. Electronic address: gabriela.fragiadakis@ucsf.edu.
Jazyk:	angličtina
Zdroj:	Cell [Cell] 2021 Feb 04; Vol. 184 (3), pp. 566-570.
DOI:	10.1016/j.cell.2021.01.006
Abstrakt:	Complex datasets provide opportunities for discoveries beyond their initial scope. Effective and rapid data sharing and management practices are crucial to realize this potential; however, they are harder to implement than post-publication access. Here, we introduce the concept of a "data sharing trust" to maximize the value of large datasets. (Copyright © 2021 Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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