On these pages you will find practical support to help you meet the 4 challenges of planning (DMP), collection and organization, storage and security, and archiving and sharing your data.
An introduction provides you with a better understanding of what research data management is, why it is important to be concerned about it in your research, who is responsible for it and what costs, if any, you should consider.
What is Research Data Management?
Research data management is "the part of the research process that deals with organisation and handling of research data, including data management planning, structured storing, description, curation, preservation and provision of metadata and complementary algorithms, code, software, and workflows, and compliance with internal, national and international privacy legislation." (OECD, 2021)
Research Data Management involves several stages, which together make up the research data lifecycle. Good research data management involves applying good practice at each stage of the data life cycle: