UniProt building community metrics for FAIR and TRUSTworthy resources

点击翻译按钮获取中文摘要

PROJECT SUMMARY UNIPROT BUILDING COMMUNITY METRICS FOR FAIR AND TRUSTWORTHY RESOURCES- SUPPLEMENT REQUEST 2022 The mission of the Universal Protein Resource(UniProt) is to support biomedical research by providing a freely available, stable, comprehensive, richly and accurately annotated sequence knowledgebase. The overall goal of this Supplement application for the UniProt parent grant (U24HG007822) is to (i) support UniProt to assess and increase alignment with FAIR and TRUST principles, (ii) to provide a tool to enable data resources to help evaluate their usage, utility, and impact and (iii) advance the the evaluation of data reuse across data repositories. UniProt has been a leader in the provision of protein sequence and annotation data since its inception in 2002. As a large and central piece of the biomedical research infrastructure it has seen a progresive professionalisation and hardening of its processes and development. This has also happened to the field as a whole with the creation of sets of principles such as the FAIR and TRUST principles as well as a growing variety of certifications. UniProt was identified as an exemplar in the original publication describing the FAIR principles and was also an early adopter of the TRUST principles gaining CoreTrustSeal certification in May 2020. We will carry out a further self assessment of our FAIR and TRUST compliance as part of the project leading to a set of goals supporting our application for renewal of CoreTrustSeal certification in 2023. This work will help to ensure we remain well aligned with community standards for data and metadata as well as refresh our outlook for management processes of UniProt. We believe that we are at the forefront of developing biomedical resources and have developed a range of metrics for understanding the usage, impact and utility of UniProt. We will develop an interface in GoogleColab to enable the community to view metrics for UniProt or any other biomedical resource of interest in a rapid way based on publicly available APIs to literature and patent databases. We are aware that UniProt data is widely reused across other data resources and this reuse is extremely difficult to measure and can be considered the greatest gap in our understanding of the impact of biomedical data resources. We will hold a workshop with key stakeholders to discuss ways to measure reuse across NIH data resources.