Preprint Article Version 3 Preserved in Portico This version is not peer-reviewed

Ten Simple Rules for Using Public Biological Data for Your Research

Vishal Oza
,
Jordan Whitlock
,
Elizabeth Wilk
,
Angelina Uno-Antonison
,
Brandon Wilk
,
Manavalan Gajapathy
ORCID logo ,
Timothy Howton
,
Austyn Trull
,
Lara Ianov
,
Elizabeth Worthey
ORCID logo ,
Brittany Lasseigne
*
Version 1 : Received: 23 June 2022 / Approved: 23 June 2022 / Online: 23 June 2022 (08:06:50 CEST)
Version 2 : Received: 20 September 2022 / Approved: 21 September 2022 / Online: 21 September 2022 (04:35:48 CEST)
Version 3 : Received: 22 September 2022 / Approved: 23 September 2022 / Online: 23 September 2022 (03:16:07 CEST)
Version 4 : Received: 1 November 2022 / Approved: 2 November 2022 / Online: 2 November 2022 (02:55:49 CET)

A peer-reviewed article of this Preprint also exists.

Oza, V.H.; Whitlock, J.H.; Wilk, E.J.; Uno-Antonison, A.; Wilk, B.; Gajapathy, M.; Howton, T.C.; Trull, A.; Ianov, L.; Worthey, E.A.; et al. Ten Simple Rules for Using Public Biological Data for Your Research. PLOS Computational Biology 2023, 19, e1010749, doi:10.1371/journal.pcbi.1010749. Oza, V.H.; Whitlock, J.H.; Wilk, E.J.; Uno-Antonison, A.; Wilk, B.; Gajapathy, M.; Howton, T.C.; Trull, A.; Ianov, L.; Worthey, E.A.; et al. Ten Simple Rules for Using Public Biological Data for Your Research. PLOS Computational Biology 2023, 19, e1010749, doi:10.1371/journal.pcbi.1010749.

Abstract

With an increasing amount of "omics" data available publicly, there is a need for a guide on how to successfully download and use this data. The 10 simple rules for using public data are: 1) use public data in your research, 2) evaluate data for your use case, 3) check data reuse requirements and embargoes, 4) be aware of ethics for data reuse, 5) plan for data storage and compute requirements, 6) know what you are downloading, 7) download programmatically and verify integrity, 8) properly cite data, 9) make data FAIR and share, and 10) make pipelines and code FAIR and share. These rules are intended as a guide for researchers wanting to make use of available data and to increase data reuse and reproducibility.

Keywords

data; reproducibility; FAIR; data reuse; public data; big data; analysis

Subject

Biology and Life Sciences, Other

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Comments (1)

Comment 1
Received: 23 September 2022
Commenter: Brittany Lasseigne
Commenter's Conflict of Interests: Author
Comment: The prior version was missing the figure. That is the only change. 
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