Research data management (RDM) means all the processes and actions required to create, manage and store data and related metadata for current and future research purposes and uses. RDM covers ordinary activities to manage data like organising and describing the data. RDM includes decisions about how the data will be preserved and shared after the project is completed. The Aalto University RDM page offers primary information to your research data related questions.
Sound RDM practices help avoiding data loss, complying with the funders’ and publishers’ requirements, and enabling data sharing. Other good reasons to apply proper RDM practices and answers to the following questions you find from the Aalto RDM page:
- How I make a data management plan?
- Where to store the data if I want to open it?
- Why I should be interested about persistent identifiers?
- What is metadata and why it is important?
- Do I have to take responsibility for research ethics?