Adaptive Oncology Program, Ontario Institute for Cancer Research, 661 University Avenue Suite 500, Toronto, ON M5G 0A3, Canada.
Departamento de Biotecnolog'ıa-Biolog'ıa Vegetal, Escuela T'ecnica Superior de Ingenier'ıa Agron'omica, Alimentaria y de Biosistemas,Centro de Biotecnolog'ıa y Gen'omica de Plantas (CBGP, UPM-INIA/CSIC), Universidad Polit'ecnica de Madrid (UPM) - Instituto Nacional de Investigaci'on y Tecnolog'ıa Agraria y Alimentaria (INIA/CSIC), Pozuelo de Alarc'on, Madrid, ES, Spain.
Brief Bioinform. 2024 Mar 27;25(3). doi: 10.1093/bib/bbae122.
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. 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.
参考基因组数据共享平台之间缺乏可互操作的数据标准,这不仅增加了数据溯源丢失的风险,还阻碍了跨平台分析。在这里,我们描述了 FAIR 生物头标参考基因组(FHR),这是一个元数据标准,除了透明性、责任、用户关注、可持续性和技术等原则外,还遵循可发现性、可访问性、互操作性和可重用性(FAIR)的原则。FHR 的目标是提供广泛的数据序列化方法和最小的数据字段要求,同时在日益分散的基因组数据生态系统中保持可扩展性、灵活性和表达能力。实施 FHR 的工作量很小;FHR 的设计理念确保了易于实施,同时保留了记录机器可读和人类可读的出处所带来的好处。