Location: Arthropod-borne Animal Diseases Research
Title: FAIR Header Reference genome: A TRUSTworthy standardAuthor
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WRIGHT, ADAM - Ontario Cancer Institute |
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WILKINSON, MARK - Universidad Politécnica De Madrid |
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MUNGALL, CHRIS - Berkeley National Laboratory |
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CAIN, SCOTT - Ontario Cancer Institute |
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RICHARDS, STEPHEN - Baylor College Of Medicine |
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STERNBERG, PAUL - California Institute Of Technology |
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PROVIN, ELLEN - Texas A&M University |
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JACOBS, JONATHAN - American Type Culture Collections |
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Geib, Scott |
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RACITI, DANIELA - California Institute Of Technology |
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YOOK, KAREN - California Institute Of Technology |
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STEIN, LINCOLN - Ontario Cancer Institute |
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Molik, David |
Submitted to: Briefings in Bioinformatics
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 2/22/2024 Publication Date: 3/28/2024 Citation: Wright, A., Wilkinson, M.D., Mungall, C., Cain, S., Richards, S., Sternberg, P., Provin, E., Jacobs, J.L., Geib, S.M., Raciti, D., Yook, K., Stein, L., Molik, D.C. 2024. FAIR Header Reference genome: A TRUSTworthy standard. Briefings in Bioinformatics. 25(3). Article bbae122. https://doi.org/10.1093/bib/bbae122. DOI: https://doi.org/10.1093/bib/bbae122 Interpretive Summary: Scientists often share genomic information to study diseases and develop treatments. However, different websites that store this information may not talk to each other very well, which makes it hard to combine the data and learn more from it. Also, sometimes important details about where the data came from can get lost. To fix this problem, a new set of rules called FHR was created to make sure genomic data is shared in a way that is easy to find, access, and use across different websites. FHR is also designed to make sure important details about the data are kept so researchers can see where it came from. Using FHR is easy because it supports common ways of storing data and only needs a few important details to be shared. Technical Abstract: The lack of interoperable data standards among reference genome data-sharing platforms inhibits cross-platform analysis while increasing the risk of data provenance loss. Here, we describe the FAIR-bioHeaders Reference genome (FHR), a metadata standard guided by the principles of Findability, Accessibility, Interoperability, and Reuse (FAIR) in addition to the principles of Transparency, Responsibility, User focus, Sustainability, and Technology (TRUST). The objective of FHR is to provide an extensive set of data serialisation methods and minimum data field requirements while still maintaining extensibility, flexibility, and expressivity in an increasingly decentralised genomic data ecosystem. The effort needed to implement FHR is low; FHR's design philosophy ensures easy implementation while retaining the benefits gained from recording both machine and human-readable provenance. |