Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

The Reuse of Public Datasets in the Life Sciences: Potential Risks and Rewards

Version 1 : Received: 10 February 2020 / Approved: 11 February 2020 / Online: 11 February 2020 (11:48:25 CET)
Version 2 : Received: 15 July 2020 / Approved: 16 July 2020 / Online: 16 July 2020 (12:39:43 CEST)

How to cite: Frey, K.; Hafner, A.; Pucker, B. The Reuse of Public Datasets in the Life Sciences: Potential Risks and Rewards. Preprints 2020, 2020020146 (doi: 10.20944/preprints202002.0146.v1). Frey, K.; Hafner, A.; Pucker, B. The Reuse of Public Datasets in the Life Sciences: Potential Risks and Rewards. Preprints 2020, 2020020146 (doi: 10.20944/preprints202002.0146.v1).

Abstract

The 'big data revolution' has enabled novel types of analyses in the life sciences, facilitated by public sharing and reuse of datasets. Here, we review the prodigious potential of reusing publicly available datasets and the challenges, limitations and risks associated with it. Due to the prominence, abundance and wide distribution of sequencing results, we focus on the reuse of publicly available sequence datasets. Through selected examples of successful reuse of different data (genome, transcriptome, proteome, metabolome, phenotype and ecosystem), with their respective limitations and risks, we illustrate the enormous potential of the practice. A checklist to determine the reuse value and potential of particular dataset is also provided.

Subject Areas

data science; reuse; sequencing data; genomics; bioinformatics; databases; computational biology; open science

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