A “data sharing trust” model for rapid, collaborative science | Zendy

Vincent T. Chan | Zendy; Pier Federico Gherardini | Zendy; Matthew F. Krummel | Zendy; Gabriela K. Fragiadakis | Zendy

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A “data sharing trust” model for rapid, collaborative science

Author(s) -

Vincent T. Chan,

Pier Federico Gherardini,

Matthew F. Krummel,

Gabriela K. Fragiadakis

Publication year - 2021

Publication title -

cell

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 26.304

H-Index - 776

eISSN - 1097-4172

pISSN - 0092-8674

DOI - 10.1016/j.cell.2021.01.006

Subject(s) - scope (computer science) , biology , data sharing , data science , value (mathematics) , computer science , medicine , alternative medicine , pathology , machine learning , programming language

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.

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