Principle informed infrastructure: Implementation at DataONE and through MetacatUI

Federation across large numbers of diverse, geographically dispersed data repositories promotes significant advances for discovery, accessibility, and reuse. DataONE provides a single location for search and discovery of environmental and other data by indexing metadata across languages and specifications for over forty six geographically distributed data repositories. Developed as an open-source project and leveraging MetaCat and MetaCatUI software, DataONE search, metrics and other features are shared across many repositories including the Arctic Data Center, ESS-DIVE, KNB and others. Community initiatives and principles have emerged to further enhance open data practices and infrastructure, and in this talk we provide examples of DataONE feature development informed by these principles. Through DataONE, metadata can be inspected and assessed against a FAIR suite currently comprising fifty one checks identified in collaboration with the community, to provide an indication of alignment with the FAIR data principles. DataONE reports on data usage and citation for individual data packages and across collections, with counts standardized according to the COUNTER code of practice for research data. Many repositories within the network are Core Trust Seal certified. With recently increased consideration of sensitive data and the emergence of the CARE principles, and in collaboration with the community, we are exploring ways to provide information on data governance and to represent alignment with these principles as part of the metadata record. It is important that not only does infrastructure adopt emerging community best practices and principles for enhanced use of Earth science data, but that implementation creates opportunity for transparency around open data management, community engagement and for increased education.