The WorldFAIR Oceans Science Case Study is asking for your help!
The Case Study will gather guidance from partners across the project (and any collaborators or colleagues they invite) on how its central use case – the Ocean InfoHub – can best interoperate with digital assets and key stakeholders in their domains.
The results will be synthesised into a publicly available Roadmap (Deliverable 11.1) for enhancing cross-domain interoperability and pre-aligning with CODATA’s emerging cross-domain interoperability framework (CDIF).
The survey aims to understand your field’s familiarity with the FAIR principles and, for example, with formatting standards and metadata. Above all, it aims to understand how outsiders can engage with metadata and data in your domain. It will be important to reflect on and communicate any existing or potential areas of contact between your domain and Oceans Science.
Please forward this survey to anyone you think would have the technical awareness to complete the survey and help us improve our understanding of existing and potential cross-domain interoperability with oceans science.
On behalf of Pier Luigi Buttigieg, AWI, Ocean InfoHub and WorldFAIR Oceans Science Case Study
The “Interoperability for Cross-Domain Research: Machine-Actionability & Scalability” workshop was held at Schloss Dagstuhl from August 28 to September 2, 2022 (https://www.dagstuhl.de/22353). The workshop was the fourth in a series, starting in 2018, exploring the role of metadata standards and the issues around interoperability in the cross-domain sharing and reuse of research data. It was jointly supported by CODATA, the DDI Alliance, Schloss Dagstuhl, the Leibniz Center for Informatics, and the EU-funded WorldFAIR project, of which CODATA is the coordinator. With the current interest in the FAIR principles and their application to interdisciplinary research data, the focus of the workshop was on specific approaches which could be employed within large-scale infrastructures spanning domain boundaries.
The workshop involved 23 participants from 10 countries, and included experts from many disciplines and organisations, including infectious disease, the social, behavioural, and economic sciences, environmental science, disaster risk reduction, geographic information science, and others. The work was divided into three groups, looking at different aspects of interoperability: integration of primary and reference data; access to sensitive data; and common approaches to large-scale oceans and disaster data. Several WorldFAIR case studies contributed to these groups. A fourth group looked at how the findings in each area could be combined in a cross-domain interoperability framework, and a fifth looked at the RDF expression of some core data and metadata models. Further information on the workshop themes and the groups’ activity can be found on the workshop wiki.
The workshop was very successful in meeting its agreed goals. One was the production of an initial draft of a cross-domain interoperability framework (CDIF), which is central to the work of the WorldFAIR project and other fora looking at cross-domain interoperability. CDIF is a proposed set of recommended best practices for using a coordinated set of domain-agnostic standards – most often as specific subsets or profiles of those standards – to support a core set of functions for cross-domain FAIR reuse. The group work on specific topics has resulted in a number of planned publications, and one or more collaborative projects between some of the participating institutions.