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Best practices for genetic and genomic data archiving.

Authors :
Leigh DM
Vandergast AG
Hunter ME
Crandall ED
Funk WC
Garroway CJ
Hoban S
Oyler-McCance SJ
Rellstab C
Segelbacher G
Schmidt C
Vázquez-Domínguez E
Paz-Vinas I
Source :
Nature ecology & evolution [Nat Ecol Evol] 2024 Jul; Vol. 8 (7), pp. 1224-1232. Date of Electronic Publication: 2024 May 24.
Publication Year :
2024

Abstract

Genetic and genomic data are collected for a vast array of scientific and applied purposes. Despite mandates for public archiving, data are typically used only by the generating authors. The reuse of genetic and genomic datasets remains uncommon because it is difficult, if not impossible, due to non-standard archiving practices and lack of contextual metadata. But as the new field of macrogenetics is demonstrating, if genetic data and their metadata were more accessible and FAIR (findable, accessible, interoperable and reusable) compliant, they could be reused for many additional purposes. We discuss the main challenges with existing genetic and genomic data archives, and suggest best practices for archiving genetic and genomic data. Recognizing that this is a longstanding issue due to little formal data management training within the fields of ecology and evolution, we highlight steps that research institutions and publishers could take to improve data archiving.<br /> (© 2024. Springer Nature Limited.)

Details

Language :
English
ISSN :
2397-334X
Volume :
8
Issue :
7
Database :
MEDLINE
Journal :
Nature ecology & evolution
Publication Type :
Academic Journal
Accession number :
38789640
Full Text :
https://doi.org/10.1038/s41559-024-02423-7