Course description

Professional research data management (RDM) is increasingly becoming an important prerequisite for a successful research project and research career. This workshop teaches doctoral students from the Department of History the basics of research data management and the FAIR data principles based on a use case. The use case presents an exemplary workflow along the life cycle of research data: from project planning to publication. In hands-on exercises, participants will gain an insight into various tools that are useful for historical research. For example, Scan-Tent, Tropy, Zotero, Transkribus, TEI, Large Language Models (e.g. ChatGPT, Claude, Gemini, llama etc.) for data extraction, Nodegoat and LaTeX. The workshop thus offers opportunities to discuss relevant RDM issues throughout the entire research process and prepares doctoral students to apply RDM fruitfully to their own research.

Learning objectives

The course aims to provide you with theoretical and practical knowledge about research data management in historical science. At the end of the course, you will...

• know and understand basic concepts, methods and tools for RDM and FAIR data with regard to historical science.
• know how to properly plan for RDM from the beginning to the end of your research project.
• be able to apply the gained knowledge to your own research projects and research data.
• know the most important service providers for RDM at the University of Basel and the most important requirements on RDM by the SNSF.

Participants: min. 6, max. 20 participants

Credits: 1 ECTS (learning contract with Marino Ferri)

Methods / Tools: Theoretical inputs, exercises, group discussions, hands-on activities.

Requirements: Participants will need a laptop for some of the exercises.

Trainers

Open Science, University Library

• Christina Besmer (christina.besmer@clutterunibas.ch)

• Markus Bossert (markus.bossert@clutterunibas.ch)

Research and Infrastructure Support (RISE)

• Eric Decker (eric.decker@clutterunibas.ch), Head of RISE
• Anthea Jeanne Alberto (antheajeanne.alberto@clutterunibas.ch), Research Navigator