Skip to Main Content

Research Data Management (RDM)

For BSc/MSc/EMBA students – data management flowchart and stages

Students can follow the RDM flowchart (the PDF file below) to complete different RDM tasks:

 

Or students can follow the following five RDM stages to complete the RDM tasks:

Stage 1. All Hanken students need to fill in and submit the e-form The Study's Privacy Notice (in English, in Finnish or in Swedish).

  • The e-form helps you plan what your study aims to investigate and what data you need exactly for your investigation. 

 

Stage 2. Collect data for your study. When collecting personal data, you need to:

  • Obtain consent from your respondents as the legal basis to collect and process their personal data.
    • Use Hanken's Consent to the processing of personal data template (in English, in Finnish or in Swedish) to obtain consent. Choose the language that your respondents prefer.
  • Provide the privacy notice to your respondents about the processing of their personal data.

 

Stage 3. Store, back up, and transfer data securely during the study in data storage services provided by Hanken or CSC.

 

Stage 4. Anonymise/pseudonymise the personal data. 

 

Stage 5. Erase all the personal data after your thesis or course assignment is approved and graded.

For researchers including doctoral researchers – data management flowchart and stages

It is advisable to review the minimum requirements and checklists on Hanken's page Data management and ethics for researchers (login required) for data protection measures and ethical considerations.

 

Researchers can follow the RDM flowchart (the PDF file below) to complete different RDM tasks:

 

Or researchers can follow the following six RDM stages to complete the RDM tasks:

Stage 1. Plan what data you need for your research purposes. It is highly recommended to write a Data management plan (DMP). 

  • Most of the research funders require a DMP as part of the funding application process (e.g., by Business Finland), after a positive funding decision (e.g., by the Research Council of Finland), or during the first six months of the project (e.g., by Horizon Europe).
  • You can use Hanken's DMP template and guidance in DMPTuuli to help you write and update your DMP.

 

Stage 2. Identify ethics and data protection issues in your research proposal.

 

Stage 3. When collecting personal data, you need to:

  • Obtain informed consent from your research participants, which is required by research ethics (e.g., TENK's guidelines).
  • Provide a privacy notice to your research participants about the processing of their personal data.

 

Stage 4. Data storage and anonymization. 

 

Stage 5. Publish (meta)data in line with the FAIR data principles. 

  • It is strongly recommended to use Fairdata Qvain metadata tool to describe and publish the metadata of your research data. 
    • Qvain is part of the Fairdata services offered by the Ministry of Education and Culture and CSC. Data described and published by Qvain are transferred automatically to research.fi and Etsin (research dataset finder, also part of the Fairdata services).
    • Log into Qvain with your HAKA account, click CREATE DATASET, and fill in the form. 
    • It is through the metadata that your research data become findable and first assessed for downloads and reuse. Creating appropriate and rich metadata is the key to making data truly open, understandable, and reusable. 
    • Note that even if you cannot publish and archive your research data, because, e.g., your data contain personal information, sensitive personal data or confidential data, you can still publish the metadata of your data. 
    • Creative Commons CC BY license is recommended for published (meta)data when possible.
  • Research data are archived and opened in a national or international repository when possible. Recommended general repositories include Zenodo, IDA, and Aila. 

 

Stage 6. Register (meta)data in Haris.