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FAIR metrics - Starring your data sets

Organisers: Ingrid Dillo, Elly Dijk, Peter Doorn, Marjan Grootveld, Ellen Leenarts - Data Archiving and Networked Services (DANS)
Duration: 1.5 hours
Do you want to join our effort to put the FAIR data principles into practice? Come and explore the assessment tool that DANS, Data Archiving and Networked Services in the Netherlands, is developing for data repositories.
The aim of our work is to implement the FAIR principles into a data assessment tool so that every dataset which is deposited or reused from any digital repository can be assessed in terms of a score on the principles Findable, Accessible, Interoperable, and Reusable, using a ‘FAIRness’ scale from 1 to 5 stars. In this interactive session participants can explore the pilot version of FAIRdat: the FAIR data assessment tool. The organisers would like to inform you about the project, and look forward to all feedback to improve the tool, or to improve the metrics that are used.

How FAIR friendly is your data catalogue?

Organisers: Rafael Jimenez - ELIXIR, Donatella Castelli - CNR, Natalia Manola - Athena Research & Innovation Centre, Carole Goble - University of Manchester
Duration: 3 hours
This workshop will build upon the work planned by the EOSCpilot data interoperability task and the BlueBridge workshop held on April 3 at the RDA meeting. We will investigate common mechanisms for interoperation of data catalogues that preserve established community standards, norms and resources, while simplifying the process of being/becoming FAIR. Can we have a simple interoperability architecture based on a common set of metadata types? What are the minimum metadata requirements to expose FAIR data to EOSC services and EOSC users?

Organising High Quality Research Data Management Services for Open Science

Organisers: Peter Wittenburg (RDA/ MPCDF), Daan Broeder (EUDAT/ Meertens Institute),  Ellen Leenarts (EUDAT/ DANS),  Maggie Hellstrom (ICOS/ ULUND),  Stefano Nativi (RDA/ CNR),  Rebecca Grant (RDA/ National Library of Irekland),  Simone Sacchi (RDA/EUDAT/LIBER)
Duration: 1.5 hours
Open science needs high quality data management where researchers can create, use and share data according to well defined standards and practices. this is one of the pillars of Open Science. In the data management landscape we find quite a few organisations that aim at achieving this, however to get it right, a collaboration is called for where all can play a suitable role and present this in a consistent way to the researcher.
The proposed workshop brings together representatives of standard organisation (RDA), eInfrastructures (EUDAT) and Libraries (LIBER) that together can organise the high quality data management for research.