Description
The first session of the e-IRG Workshop under Portuguese EU Presidency introduces the topic of FAIR Digital Objects (FDOs), which bring together all essential information about a digital object (data, code or other research output) in one logical entity. A key element of an FDO besides its representation of its encoded content in a standard format and its sufficient metadata and documentation is a Persistent Identifier (PID), which enables unique and persistent identification and supports referencing, linking, tracing and reusability. The session will address the need for an EU-wide service for Persistent Identifiers (PIDs) for all researchers and their stable repositories. Furthermore, there is a need for a semantic mapping framework as addition to the FAIR landscape of semantic artefacts to reap the full benefits of FAIR data. Such e-Infrastructure elements are vital to achieve stability, interoperability and sustainability of the digital objects space in the current fragmented landscape, and to be able to support data traceability, trust, and sovereignty. Thus, there is a need for a “by-design” approach and coordination on these e-infrastructures elements.
Moderator: Maria-Luisa Lavitrano (UNIMIB, EOSC Association director)
• Paolo Budroni (e-IRG chair)
• João Pagaime (Portuguese e-IRG delegate)
• Paulo Quaresma (FCT board member)
Moderator: Maria-Luisa Lavitrano (UNIMIB, EOSC Association director)
Towards an Integrated and Interoperable Data Domain at the example of Climate Research
Report from the EOSC Executive Board Working Group (WG) Architecture PID Task Force (TF).
Main messages:
1) There is a need for easy-to-use and free at-point-of-use services to assign PIDs to digital objects
2) These digital objects are of many different kinds (data & metadata, instruments, physical samples, variable definitions, ..) and while there are many commonalities, there will be a...
Science for a large part based on measuring and describing phenomena using schemas and concepts that are often discipline-specific. For Open Science, sharing and transparency these schemas and concept/vocabulary definitions need to be as FAIR (open registries) as the data itself. When integrating data from different communities – also mappings are required. Spending many resources & time on...
