Maintaining well-organised data is essential for researchers to ensure the accuracy, integrity, and long-term usability of their work. Effective data management strategies can vary widely depending on factors such as the type, volume, and format of the data, as well as the platforms and systems used for collection and analysis. For example, while cloud storage can be a practical solution for researchers working with large datasets, it may not be the most suitable option for those conducting fieldwork or research in remote locations. Likewise, researchers working with archival materials, secondary sources, or big data may need to adopt tailored approaches to organise and safeguard their data effectively.
In this panel discussion, researchers who have successfully completed their data collection will share their insights and experiences of managing data throughout the research process, from planning through to post-collection. Topics covered will include:
While our focus in Trinity Term will be on developing robust data management plans prior to data collection, this session is open to doctoral students and academics, regardless of primary research methods, at any stage of their research journey, whether in the planning phase, actively collecting data, or working with data already gathered.
The panel will be interactive, with ample opportunities for questions and discussion. You will have the chance to engage directly with our expert panellists, connect with fellow researchers, and learn from each other’s experiences and strategies for navigating the complexities of research data management. Refreshments will be provided.
Panellists
TBC
Moderator
Keiko Kanno
