Current state of data stewardship tools in life science

Anna Aksenova; Anoop Johny; Tim Adams; Phil Gribbon; Marc Jacobs; Martin Hofmann-Apitius

doi:10.3389/fdata.2024.1428568

Current state of data stewardship tools in life science

Front Big Data. 2024 Sep 16:7:1428568. doi: 10.3389/fdata.2024.1428568. eCollection 2024.

Authors

Anna Aksenova¹, Anoop Johny², Tim Adams², Phil Gribbon³, Marc Jacobs², Martin Hofmann-Apitius^{1

2}

Affiliations

¹ Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, Bonn, Germany.
² Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin, Germany.
³ Fraunhofer Institute for Translational Medicine and Pharmacology, Discovery Research Screening Port, Hamburg, Germany.

Abstract

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.

Keywords: FAIR; data interoperability; data sharing; data stewardship tools; literature review; mapping; research data repositories.

Publication types

Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Bonn-Aachen International Center for Information Technology (b-it) Foundation, Bonn, Germany.