Research Data Management in Practice: Lessons and Reflections from Researchers

Maintaining well-organised data is essential for researchers to ensure the accuracy, integrity, and long-term usability of their work. Approaches to research data management vary according to factors such as the type, volume, and format of data, as well as the systems and platforms used for collection and analysis. For instance, while cloud storage may be suitable for large datasets, it may be less practical for fieldwork or research in remote locations. Researchers working with archival material, secondary sources, or big data often develop tailored strategies to organise and safeguard their data effectively.

This panel discussion brings together researchers who have completed data collection to share their experiences and reflections on managing research data throughout the research process.

Topics for discussion will include:

Approaches to organising, storing and updating data across online and offline platforms
Considerations for planning data management in the pre-collection phase
Common challenges encountered in post-collection data management and strategies to address them
Methods for backing up and securing data against loss or corruption

The workshop is open to doctoral candidates and academic staff from all disciplines, at any stage of their research, whether in the planning phase, actively collecting data, or working with existing datasets. The panel format will allow for ample discussion and questions, enabling participants to engage with panellists, exchange experiences, and reflect on lessons drawn from practical research data management. Refreshments will be provided.

Panellists

Dr Jack Joyce (Research Programme Manager, Nuffield Department of Primary Care Health Sciences)
Kristen McCollum (DPhil, Migration Studies)
Professor David Zeitlyn (Professor of Social Anthropology, Fellow of Wolfson College)

Chair

Dr Keiko Kanno