FAIRification Tutorial with consultation afterwards

This session is part of the Centre for Digital Scholarship's Summer Training Week and Kristina Hettne and Peter Verhaar, experts on FAIR and on linked data, will join their expertise to explain how we can improve the FAIRness of our data.

While the academic and societal and benefits of FAIR data are becoming increasingly apparent, the very task of modelling, organising and structuring data sets in such a way that they comply with the FAIR principles is often experienced as challenging.

This session explains the concrete steps that can be followed to enhance the FAIRness of research data. We will discuss the central concepts underlying linked data technology and outline the main aspects of formats, vocabularies and storage solutions that can bolster the reusability and the transparency of data sets.

During a practical section, you will also be given the opportunity to apply the concepts that are discussed to a data set you are working on yourself. Experts on FAIR and on linked data will give you concrete advise on how to FAIRify your data.

Registration form

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