PT  - JOURNAL ARTICLE
AU  - Rosenfeld, Gabriel
AU  - Angelova, Angelina
AU  - Shin, Chris
AU  - Quinones, Mariam
AU  - Hurt, Darrell
TI  - Current challenges in microbiome metadata collection
AID  - 10.1101/2021.05.05.442781
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.05.05.442781
4099  - http://biorxiv.org/content/early/2021/05/05/2021.05.05.442781.short
4100  - http://biorxiv.org/content/early/2021/05/05/2021.05.05.442781.full
AB  - While the biomedical community has embraced data sharing (e.g. results, raw data) and supported establishment of large research consortia (e.g. the Human Microbiome Project) aimed to standardize the quality of important sets of microbiome sequencing data, the reusability of most microbiome data is still limited by the quality of its associated metadata. To ensure that microbiome data is indeed FAIR (Findable, Accessible, Interoperable, and Reusable), it is necessary to consider tools and approaches that make it easier to provide high-quality metadata that is fit for purpose moving forward. Such tools and approaches could be informed by current efforts to harmonize and improve the quality of extant microbiome metadata.Competing Interest StatementThis project has been funded in part with Federal funds from the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health, Department of Health and Human Services under BCBB Support Services Contract HHSN316201300006W/HHSN27200002 to MSC, Inc. The Bioinformatics and Computational Biosciences Branch developed the Metagenote and Nephele tools described in this article. All views in this manuscript reflect the Authors personal views and do not necessarily reflect those of the National Institutes of Health.