- Students can follow the data management flowchart below to complete different RDM tasks:
- Or you can follow the following five data management stages to complete your RDM tasks:
Stage 2. Collect data for your study. When collecting personal data, you need to:
Stage 4. Anonymise the personal data so that your respondents are not identifiable in your thesis or course assignment.
Stage 5. Erase all the personal data no later than 12 months after the thesis or course assignment is graded and approved.
- Researchers can follow the RDM flowchart below to complete different RDM tasks:
- Or you can follow the following six data management stages in your research planning, active research and results sharing phases:
(1) Before data collection (during research planning phase)
Stage 1. Write and update continuously a Data management plan (DMP).
Stage 2. Identify ethics and data protection issues in your research proposal.
(2) Data collection and analysis (during active research phase)
Stage 3. When collecting personal data, you need to:
Stage 4. Store, back up and transfer data securely, and organize your data during research.
(3) After data collection (sharing results)
Stage 5. Publish (meta)data in line with the FAIR data principles. See Data publishing and preservation.
Stage 6. Register your dataset in Haris and add the persistent identifiers (e.g., DOI and URN) you have obtained from Qvain and/or the data repository for your (meta)data. Please see Register your datasets.
Research Data Lifecycle by DTU AIS Bibliometrics and Data Management, CC0 1.0.