Deliverables & Milestones

This dataset (version 1) takes the form of a spreadsheet corresponding to the associated data described by M4.4 - Review of Semantic Artefact Catalogues and guidelines for serving FAIR semantic artefacts in EOSC... Read more

In the rapidly evolving landscape of scientific research, the proliferation of ontologies and semantic artefacts necessitates the development of robust systems to manage and utilise these resources effectively.... Read more

In the rapidly evolving landscape of scientific research, the proliferation of ontologies and semantic artefacts necessitates the development of robust systems to manage and utilise these resources effectively.... Read more

Semantic artefacts (SAs - terminologies, taxonomies, thesauri, vocabularies, metadata schemas and standards) are essential for standardising data representation and annotation, encapsulating the highest level of meaningful knowledge within interoperability frameworks.... Read more

Semantic artefacts (SA) –a broad term to include ontologies, terminologies, taxonomies, thesauri, vocabularies, metadata schemas and semantic standards– are key for the description of data and for making data FAIR. Plus, describing SAs is fundamental to make them FAIR themselves.... Read more

This milestone draws together the pilot study efforts around FAIR assessment of discipline-specific metrics for data and research software, undertaken at the same time and in the context of two previous milestones, “M5.4 - Practical tests for automated FAIR digital object assessment in disc... Read more

The overall objective of WP7 “Dissemination, exploitation and communication” is to address dissemination, exploitation and communication of the project at all levels and through multiple modalities to ensure the FAIR-IMPACT objectives and impacts are achieved.... Read more

The overall objective of WP7 “Dissemination, exploitation and communication” is to address dissemination, exploitation and communication of the project at all levels and through multiple modalities to ensure the FAIR-IMPACT objectives and impacts are achieved.... Read more

The main topic of this report concerns the formulation of guidelines for PID Managers regarding the creation of a “user tailored EOSC compliant PID policy.” Central to the work are the following questions.... Read more

PIDs are a key component of the FAIR data principles. A wide range of policies and services exist to manage and create PIDs within the research ecosystem.... Read more