A written data management plan (DMP) is an important part of research data management, an essential tool for following good research practices and opening up your data. A researcher carrying out research should create a DMP before he/she starts his/her research project. In addition, the plan should be updated as the research project evolves. It is a living document that accompanies the whole research life cycle, even after the active phase of the research project.
A DMP accompanying funding applications to the Academy of Finland and several other research funders must cover the collection and processing of data, ethical compliance, ownership and rights to use, short-term storage and backup, long-term preservation and reuse, planned disposal and the associated resource needs. The plan can be 1-2 pages. More information, see DMP guides and checklists as follows.
The advantages of data management planning include the following:
The DMP is part of a research plan. You can refer from one document to the other in order to avoid overlap between them. Introduce data analysis and other methods in your research plan.
In the DMP, data is understood as a broad term including:
Use Hanken's DMP template or other DMP templates (with Hanken's DMP guidance integrated) in DMPTuuli to help you write and update a DMP. See DMPTuuli with Hanken's DMP guidance and DMP template on the right.
The tool DMPTuuli is helpful when writing and updating your data management plan. DMPTuuli is part of the Open Science and Research (ATT) project, maintained by CSC, launched and funded by the Ministry of Education and Culture. It offers a Finnish national central channel for guidance and support for writing a DMP at all stages. The tool is based on an open source solution and any individual researcher can register and create an account to use it freely.
Hanken's DMP guidance and Hanken's DMP template are both integrated in DMPTuuli.
1. DMP guidances in DMPTuuli:
DMPTuuli contains useful advice and tips for all organizations and all types of applications, including:
To get access to Hanken's DMP guidance in DMPTuuli, follow the following steps:
- Open DMPTuuli and register an account.
- Click “Create plans” on the left upper side. Fill in the information about your research project, and make sure that "Hanken School of Economics" is selected as the primary research organization. A funder's DMP template will be available after the funder is selected under "Select the primary funding organisation":
- Next, under "Select Guidance" on the right side, remember to choose "Hanken School of Economics" and click "Save."
- Then under "Write Plan," within each section of a DMP, the content of Hanken’s specific guidance on each topic will show after you click "Hanken" and then "expand all":
- Do not forget to click “Save” after you finish answering each section.
2. DMP templates in DMPTuuli:
You can find various Public DMP templates to meet the specific funder requirements on DMPTuuli pages.
Hanken's DMP template has also been integrated in DMPTuuli. When creating a new DMP, select “Hanken School of Economics” as the primary organisation. Then remember to choose ”No funder associated with this plan or my funder is not listed.” This is especially for research projects which do not have any funders associated or the funders are not listed. Hanken’s DMP template will be available after you click “Create plan.”
You can write a DMP under “Write plan” by using Hanken’s DMP template. After clicking each “+” sign, you can see the content and complete the sections of a DMP.
Do not forget to click “Save” after you finish answering each question.
1. General description of data
Data types and formats, estimated data size, and how to control the consistency and quality of data.
2. Ethical and legal compliance
3. Documentation and metadata
How to describe your data and if you use some metadata standards to make your data findable, accessible, interoperable, and reusable (FAIR) for you and others. For more information, see:
4. Data storage and backup during the research project
Where and how to store and back up your data, data security, and access control, see Data storage and backup.
5. Data publishing and sharing after the research project
What part of the data to be made openly available or published, where and when to make the data or their metadata publicly available. See Data sharing and preservation.
Note that data with personal information can only be published anonymised. Pseudonymised data is still personal data, and therefore cannot be opened without explicit consent for that purpose. Se Anonymisation and Personal Data by Finnish Social Science Data Archive (FSD).
6. Defining roles and responsibilities of research team members
Who is responsible for data management tasks including data protection, information security, data documentation, data archiving and publishing?
7. Estimating resources required for data management
Time, workload, and possible costs.
More information about how to create a DMP, see: