BACKGROUND
Publishing research data presents unique challenges for the humanities. While funding agencies increasingly demand the publication of data and the implementation of the FAIR principles, the difficulties begin with terminology: in the humanities, the term “data” is often not used when conducting empirical research. Furthermore, key concepts of research data management, such as reproducibility, are difficult to implement with qualitative data. This discrepancy between requirements and the realities of humanities research necessitates specific solutions and a deeper understanding of the subject.
WORKSHOP GOAL
This three-hour workshop aims to:
- Provide an overview of research data management and its long-term benefits for the research process.
- Introduce the FAIR principles (Findable, Accessible, Interoperable, Reusable) and their relevance to humanities research.
- Focus on the data publication process, including requirements for preparation and selection of appropriate repositories.
By the end of the workshop, participants will gain foundational knowledge to enhance data transparency and accessibility in their research.
WORKSHOP CONTENT
This three-hour workshop provides an introductory overview of research data management specifically tailored to the needs of qualitative humanities research. Participants will become familiar with the FAIR principles (Findable, Accessible, Interoperable, Reusable) and gain insight into the particular considerations that must be taken into account when publishing qualitative data.
Additionally, they will learn criteria for identifying suitable repositories for their research data. The goal is to equip participants with practical tools to meet the growing demands for data transparency and accessibility in the humanities.
TARGET AUDIENCE & PRIOR KNOWLEDGE
This workshop is designed for researchers across all humanities disciplines, making it suitable for both early-career researchers and established scholars. Participants do not need any prior knowledge of data management or data publication, making it particularly valuable for those who are new to data publication or seeking to refine their existing approach.
TECHNICAL REQUIREMENTS
- Stable internet connection
- Laptop or tablet equipped with a camera and microphone
- Familiarity with your own research data formats
- No specific software installation required; ensure Zoom is installed and ready to use
- No prior experience with research data management is required
ABOUT THE TRAINER
Nele Fuchs works as a data scientist at Data Science Center Bremen. She holds a Bachelor’s degree in Philosophy and Material Culture: Textile (CvO University of Oldenburg) and a Master’s degree in Transcultural Studies (University of Bremen). As a Data Scientist in the Humanities, she supports researchers in the fields of Digital Humanities, FAIR-compliant qualitative research data, and data science. She leverage her experience with sensitive qualitative data.