While the publication of research data has increasingly become the norm in recent years, the reuse of published data is often still in its infancy. Researchers are often unaware of this possibility or struggle to find suitable research data for their projects and to assess their quality for reuse. This raises important questions:

• How can researchers find and select suitable and FAIR data for reuse?
• How can researchers assess the quality of published and unpublished data for reuse?
• What prevents researchers from reusing data, and how could this be facilitated?

In this workshop, guest lecturer Dr. Anna Daudrich will address the above questions with the participants in three parts, drawing on theoretical input, practical use cases and hands-on exercises:

• First, participants will receive a brief overview of recommendations, best practices, and support materials relevant to researchers for the reuse of data.
• Building on this knowledge, participants will engage in hands-on exercises in which they can apply and reflect on the concepts and approaches introduced earlier, and contribute their own experiences.
• The workshop will conclude with an open discussion of challenges and barriers to data reuse and how data reuse can be encouraged and facilitated in research through concrete measures.

Participants are invited to bring examples of datasets or use cases they would like to share to discuss open questions, challenges, or their own experiences regarding data reuse.

Lecturer

• Dr. Anna Daudrich (Research & Infrastructure, Hochschulbibliothek ZHAW)

Course Language: English

Data stewards and other members of the university's RDM Network will be invited to this course by email. Other people who are interested in attending the course are asked to contact the coordinators of the Data Stewardship Program (researchdata@clutterunibas.ch).