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ARS Home » Midwest Area » Ames, Iowa » Corn Insects and Crop Genetics Research » Research » Publications at this Location » Publication #351735
Title: Ten quick tips for sharing open genomic data

Author
item Brown, Anne
item CAMPBELL, JACQUELINE - Iowa State University
item ASSEFA, TESHALE - Orise Fellow
item Grant, David
item Nelson, Rex
item Weeks, Nathan
item Cannon, Steven

Submitted to: PLoS Computational Biology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 7/11/2018
Publication Date: 12/27/2018
Citation: Brown, A.V., Campbell, J.D., Assefa, T., Grant, D.M., Nelson, R., Weeks, N.T., Cannon, S.B. 2018. Ten quick tips for sharing open genomic data. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1006472.
DOI: https://doi.org/10.1371/journal.pcbi.1006472

Interpretive Summary: The issue of data availability and interpretability continues to grow as more labs are collecting genomic information from plants, animals and humans. Data becomes far more broadly useful if it follows the data-management principles of being Findable, Accessible, Interoperable, and Re-usable (FAIR). This paper describes ten quick tips to help scientists make their data conform to these FAIR principles. This paper should guide practitioners in producing and sharing datasets that can easily be interpreted and incorporated into others' scientific studies and research. This helps leverage research efforts, making it more cost-effective and powerful.

Technical Abstract: As sequencing prices drop, genomic data accumulates - and the pace is increasing. The resultant genomic data potentially has value beyond the initial purpose but only if shared with the scientific community. This of course is often easier said than done. Some of the challenges in sharing genomic data include data volume (raw file sizes and number of files), complexities, formats, nomenclatures, metadata descriptions, and the choice of a repository. This paper describes ten practices ("quick tips") for sharing genomic data and making it broadly useable by many researchers.