Current state of data stewardship tools in life science

In today's data-centric landscape, effective data stewardship is critical for facilitating scientific research and innovation. This article provides an overview of essential tools and frameworks for modern data stewardship practices. Over 300 tools were analyzed in this study, assessing their u...

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Bibliographic Details
Published in:Frontiers in big data Vol. 7; p. 1428568
Main Authors: Aksenova, Anna, Johny, Anoop, Adams, Tim, Gribbon, Phil, Jacobs, Marc, Hofmann-Apitius, Martin
Format: Journal Article
Language:English
Published: Switzerland Frontiers Media S.A 16-09-2024
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Summary:In today's data-centric landscape, effective data stewardship is critical for facilitating scientific research and innovation. This article provides an overview of essential tools and frameworks for modern data stewardship practices. Over 300 tools were analyzed in this study, assessing their utility, relevance to data stewardship, and applicability within the life sciences domain.
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Reviewed by: Jae Sook Cheong, University of Bayreuth, Germany
Arthur Smith, Kent State University, United States
Edited by: Ruoming Jin, Kent State University, United States
ISSN:2624-909X
2624-909X
DOI:10.3389/fdata.2024.1428568