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Providing Structured and Rich Dataset Quality Information (link to poster)Introduced in the session: Metadata strategies and solutions
Ge Peng (CISESS/NCEI), Anna Milan (NCEI), Nancy A. Ritchey (NCEI), Robert P. Partee II (Xentity Corp), Sonny Zinn (ERT, Inc.), Evan McQuinn (CIRES), Kenneth S. Casey (NCEI), Paul Lemieux III (Riverside Technology, Inc.), Raisa Ionin (National Institutes of Health, Philip Jones (Riverside Technology, Inc.), Arianna Jakositz (CIRES), and Donald Collins (NCEI)
Data is an organizational asset. The quality of datasets and their associated information is fundamental to the quality of the underlying data services, for ensuring the trustworthiness of the data holdings, and for managing organizational risk. With rapidly increasing data volumes and elevated requirements for timely access to high-quality and readily usable environmental data and information, effectively managing and providing interoperable data and information is a significant challenge. This poster presents a use case of the end-to-end application of a data stewardship maturity matrix, as a part of the NOAA OneStop project, to demonstrate the potential for systematically curating and representing dataset quality information that is structured, evidence-based, content-rich, machine and human-readable, and FAIR, namely, findable, accessible, interoperable, and reusable.
