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Research Data Management

Write a data management plan (DMP): what, why, and how?

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 outght to 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.

If you are applying for funding from the Academy of Finland in autumn 2020, data management is an integral part of your application. Data management plans are submitted to the Academy of Finland at two stages:

  1. At the application stage;
  2. After a positive funding decision.

More information is here

The advantages of data management planning include the following:

  • facilitating the citation and reuse your data to increase the impact of your research.
  • supporting open access and promoting new discoveries and future collaborations.
  • ensuring that your data is consistent with the FAIR data principles.
  • saving time and money.
  • reducing the risk of losing data.
  • meeting funder and other policy requirements.
  • maintaining and ensuring data protection and data integrity.
  • avoiding ownership and user rights problems in advance.
  • ensuring that the necessary resources and equipment are available.

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:

  • data collected by various methods (such as surveys, interviews, measurements, imaging techniques etc.),
  • data produced during the research (such as analysis results),
  • research sources (such as archive materials), and
  • source code and software.

Use Hanken's DMP template or other Public 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 in the next section.

 

DMPTuuli with Hanken's DMP guidance and DMP template

DMPTuuli logo

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":

Create plans in DMPTuuli

- 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":      

Expand all in DMPTuuli

- 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. Write plan in DMPTuuli

 

DMP guides and checklists

Although there may be some differences depending on research domain, in general, a good data management plan will address the following seven aspects:

1. General description of data

Data types and formats, estimated data size, and how to control the consistency and quality of data.

Note that it is important to identify all sensitive, personal, and confidential data types. See Ethical review and Data protection.

2. Ethical and legal compliance

Follow Hanken's ethical guidelines and data protection policy to maintain high ethical standards and comply with relevant legislation.

  • Ethical concerns eg., how to handle sensitive and personal data, how to gain data-sharing consent from research participants, if your study needs to apply for an ethical review, and research ethics.
  • Legal issues eg., data protection policy, data usage rights, data-sharing agreements, data ownership, copyrights, licenses, and other Intellectual Property Right (IPR) issues. Agreements on data ownership and other intellectual property rights must be concluded before commencing any actual research activities. See Copyright and Agreements by Finnish Social Science Data Archive (FSD) and Open Data by Creative Commons (CC).

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.

 

Use Hanken's DMP template or other Public 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 above).

More information about how to create a DMP, see:

Also see: