Data standardization means converting data to a common format, allowing different users to process and analyze it for, e.g., collaborative research and large-scale analysis. Standardization is a necessary requirement for data to be interoperable so that it can be integrated from multiple sources and scientific domains, which in turn is one of the critical steps to meet the FAIR data principles of findability, accessibility, interoperability and reusability.
The Data Interoperability Workshop, arranged jointly by Arctic PASSION, INTERACT and SIOS on 31st May 2022, provided the participants with an introduction to standardization and interoperability of metadata and data. In addition, the participants learned about two common data standards and practical examples how they can be utilized in research.
The webinar recording is now available on the INTERACT YouTube channel (link).
The presentation slides are available here:
Standardization of data and metadata -Lara Ferrighi, Norwegian Meteorological Institute (Presentation slides)
Darwin Core Archive (DwC-A) data standard -Luke Marsden, The University Centre in Svalbard (Presentation slides)
Network Common Data Form (CF-NetCDF) data standard –Øystein Godøy, Norwegian Meteorological Institute (Presentation slides)