Stage 1. Fill in data processing description.
Stage 2. Inform your research participants/informants/respondents/subjects about data collection.
Stage 3. Store and back up data securely during research in data storage services provided and maintained by Hanken (see Data storage and backup).
Stage 4: Delete the data no later than 12 months after the thesis is submitted.
(1) Before data collection (during research planning phase)
Stage 1. Write and update continuously a data management plan (DMP).
(2) Data collection and analysis (during active research phase)
Stage 3. You need to ask for consent from research participants if you collect personal data from them or if the personal data are received from a source other than the research participants. See Collecting personal data.
Stage 4. Organize data, and store and back up data securely during research.
(3) After data collection (sharing results)
Stage 5. Describe and publish the metadata of your data. It is recommended to use Fairdata Qvain metadata tool offered by the Ministry of Education and Culture and maintained by CSC. See Metadata and data documentation.
Research data are to be archived and opened in national or international repositories when possible. See Data sharing and preservation.
Stage 6. Register your dataset in Haris and add the persistent identifiers (e.g., DOI and URN) for your (meta)data.
Research Data Lifecycle (by DTU AIS Bibliometrics and Data Management - licensed under CC0 1.0).