Research data management (RDM) relates to the handling, storage, curation, preservation and provision of continuing access to analogue and digital research data. Research data collected during a project may include qualitative interview records, survey results, quantitative experimental data, and more! Regardless of the data you are collecting, RDM is a way of codifying these research good practices in a way that can make it easier for you to conduct your research.
The Moodle course covers the basic skills and tips every researcher needs to manage their data, including: classifying data and metadata, data storage and backups, writing good data documentation, and making your data open access. This course can be completed in a linear fashion, or you can pick and choose which topics to cover depending on what stage you are at in your research. The final topic provides links to further resources that might be of interest, and details of where and who to contact for further help with data management!