How important is proper data management in engineering research?
Proper data management is very important. Organizing and recording experimental, simulation, and design data, together with consistent naming, version control, backups, and access management, improves the reproducibility and verifiability of results and makes collaboration and later reuse easier. It also helps prevent errors and data loss and reduces risks when handling confidential or safety-related information. However, the appropriate methods and retention periods vary with the research and the rules of the relevant institution.
Key points
- Data management supports the reproducibility and verifiability of research results.
- Organization, version control, and backups make collaboration and future reuse easier.
- Appropriate access management helps protect confidential and safety-related information.
Things to check
- Specific procedures, retention periods, and access permissions should be checked against the requirements of the research field, laboratory, and institution.