Research data management concerns organising and processing of data, from its entry to the research cycle through to the dissemination and archiving of valuable results. Research data management is an essential part of the research process, and aims to make the research process and data use responsible and efficient, as well as meet the expectations and requirements of the university, research funders, and legislation.
The environment for research data management and sharing is continuously evolving. Good data management is fundamental for high quality research data and therefore research excellence, but it is also important for facilitating data sharing and ensuring the sustainability, accessibility and reuse of data in the long-term.
If research data are well organised, documented, preserved and accessible, and their accuracy and validity are controlled at all times, the result is high quality data, efficient research and saving of time and resources. Thus, researchers themselves benefit from well-conducted data management.
Research data management concerns how you:
- Create data and plan for its use
- Organise, structure and name data
- Keep it – make it secure, provide access, store and back it up
- Share with collaborators, publish and get cited
Watch the video (7:19): The importance of research data management & Research funders’ requirements.
Think: What kind of research data do you produce and what kind of problems/challenges you consider to relate to your research data and its management?
Data management guidelines. Finnish Social Science Data Archive.
Data management checklist. Fairdata.fi
The Finnish National Board on Research Integrity (TENK) & The Committee for Public Information (TJNK). 2018. Responsible Research – Guide to Research Integrity, Research Ethics and Science Communication in Finland.