- 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. If your study involves personal data, follow the Guidelines and procedures of personal data processing in studies and research at Hanken. Before collecting personal data, you need to:
Stage 3. Store and back up data securely during the study in data storage services provided and maintained by Hanken. See Data storage, backup and transfers.
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. If your study is one of the six types described in Ethical review, you need to request for an ethical review by Hanken’s Research Ethics Committee.
(2) Data collection and analysis (during active research phase)
Stage 3. If your study involves personal data, follow the Guidelines and procedures of personal data processing in studies and research at Hanken. Before 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. Describe and publish the metadata of your research 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 archived and opened in national or international repositories when possible. 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.
Research Data Lifecycle by DTU AIS Bibliometrics and Data Management, CC0 1.0.