INFRAFRONTIER-EMMA FAIRSharing Consortium Research Data Alliance COVID-19 Resource

The FAIRSharing collection provides an at-a-glance view of FAIR (Findable, Accessible, Interoperable, Reusable) data and metadata standards (e.g. reporting guidelines, models, formats, terminologies) as well as repositories (databases and knowledgebases) suitable for the deposition and sharing of clinical research, genomics, transcriptomics, structural and epidemiological research. These represent the research areas covered by the RDA COVID-19 Working Group and sub-groups, which create guidelines to help: (i) stakeholders follow best practices for sharing COVID-19 data; and (ii) policymakers maximise timely data sharing and appropriate responses in such health emergencies. This collection also includes the COVID-19 Collection (https://fairsharing.org/collection/COVID19Resources) specific for repositories that already contain COVID-19 datasets. To combat the rapidly evolving COVID-19 pandemic, INFRAFRONTIER-EMMA is offering, free-of-charge open calls and access to highest-quality resources, COVID-19-related strains and emergency archiving services to the global research community, aiming at supporting COVID-19 research and minimizing the loss of valuable mouse strains during the crisis (https://fairsharing.org/collection/RDACovid19WG?q=&page=3; https://fairsharing.org/10.25504/FAIRsharing.g2fjt2). The INFRAFRONTIER-European Mouse Mutant Archive (EMMA) is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. The laboratory mouse is the most important mammalian model for studying genetic and multi-factorial diseases in man. Thus the work of EMMA will play a crucial role in exploiting the tremendous potential benefits to human health presented by the current research in mammalian genetics (https://www.infrafrontier.eu/knowledgebase/therapeutic-area/covid-19-resources-and-measures; https://www.infrafrontier.eu/search?keyword=browse_strain_types).