Common Standards for FAIR ESS Data

The overall objective is to ensure FAIR ESS data in NFDI4Earth by developing and supporting integration and interoperability of the NFDI4Earth architecture and the adoption of a standards framework for ESS data and metadata services that addresses all FAIR sub-principles in research communities.
As a central management tool and main driver for the service adoption and transformation process, we will establish an NFDI4Earth Label providing indicators for the interoperability of integrated data infrastructures to assess the FAIRness of a digital resource and for harmonization of the service. It is awarded as part of a self-evaluation process according to proven standards, e.g., RISE (Research Infrastructure Self-Evaluation Framework) or the FAIR Metrics group (Wilkinson et al., 2018), and is supported by automated procedures wherever possible. We will evaluate and assess different domain specific (meta)data and identifier schemes as well as provenance, quality, credit and attribution methods as essential prerequisites towards FAIR data services. Leveraging on existing community standards, we will assess technical standards (e.g., data formats, exchange/access standards and persistent identifiers) and organizational frameworks (e.g., curation, sustainability, preservation, FAIR metrics) and propose (if not already present) open and therefore future-proof substitutes for community wide and cross community interoperation. Furthermore, we will design and prototype an interoperability layer for NFDI4Earth infrastructure based on RDA’s FAIR Digital Object approach FAIR-DO (Lannom and Wittenburg). Building on their inherent capability to implement FAIR data (Strawn, 2019), we will adopt FAIR-DO and the associated ecosystem of inter alia data types, identifier schemes and registries for Earth System Science.