Good data management is fundamental for high quality research. While many PhD students are acquiring the skills to collect and analyse data, there is a deficit of training in handling and managing the research data they produce.
From the early stage of the research design, through to the later stages of analysis and data storage, good data management equates to efficient research and the saving of time and resources. Furthermore, it is a prerequisite for data sharing, a practice that is increasingly required by journal publishers and funding agencies.
Our two-day workshop, which combines both presentations and interactive activities, will provide PhD students with practical skills directly applicable to their own research. Drawing on a wide range of data – both quantitative and qualitative – the workshop will address the following key aspects of data management:
By the end of the workshop, participants will know how to apply various data management best practices in their own research, and will be able to work more efficiently and effectively with data individually or as part of a research team, where data are often co-produced and shared.
Part I: Introduction to data management
10.15 – 10.30: break
Part II: In-depth topic: data handling
Part III: Data management crash course (part I)
Part I: In-depth topic: data documentation
Part II: Data management crash course (part II)
Part III. Wrap-up