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Research Data Management: Plan

Data Management Plan

Data management plan (DMP) is a document in which a researcher or a RDI project in TAMK will outline the life cycle of the data during and after the research. DMP should be made before the actual research process starts. Still, ideally DMP would be a document that would reflect the changes in the research, thus being a document that evolves during the research process. Tampere higher education community requires that every researcher should make a data management plan at the research planning phase, regardless of whether the data being produced will be opened.

The contents of the data management plan can be presented in various ways. In the following table we have listed 6 components of DMP as defined in the General Finnish DMP Guidance 2020:

How to write a DMP? - READ THIS FIRST!

  • Use DMPTuuli to draft your data management plan. DMPTuuli hosts updated funder templates and guidance. You can also find Tampere higher education community's DMP guidance in the tool. If you have any questions about DMPTuuli, don't hesitate to contact researchdata@tuni.fi
  • Use DMP to complement your research plan - avoid overlapping with the research plan!
  • Research plan describes the scientific, data analysis and methodological processing of data.
  • Data management plan describes technical and administrative management of data.
  • To avoid redundancy, refer to your research plan in your DMP and vice versa.
  • Use DMP as a risk evaluation document - show that you can recognize, anticipate and handle the risks related to your data management workflow.
  • Reflect DMP on your own research project - Do not copy/paste examples from somewhere else.
  • Write only sentences you yourself understand.
  • Answer the questions where applicable - If a certain question is not applicable in your case, justify why not.
  • Answer at least the main categories - Each sub-question does not need to be answered separately.
  • Include background information such as the name of the applicant and the project, project number, funding programme, version of DMP.
  • Show your data management and version control skills, for example, consider the file naming of the DMP file.
  • Follow the organisation or funder requirements.

Why should you manage your research data and write a data management plan (DMP)?

  • It is good research practice!
  • You will reduce the risk of losing your data.
  • You will be able to anticipate complex ownership and user rights issues in advance.
  • It helps you support open access to create productive future collaborations.
  • You will meet funder requirements.
  • It helps you save time and money.
  • Your DMP reflects your managerial skills as a project leader.

In the DMP context, data is understood as a broad term. Data covers all information and material your research results are based on. You can concentrate on the data that is your responsibility.

Your DMP should describe how you will manage data during the whole research life cycle. The DMP is a living document that should be updated as the research project progresses.

Your research data management practices should aim to produce reusable data that follows the FAIR principles, that is, your data will be Findable, Accessible, Interoperable and Re-usable.

Good luck with your DMP!

DMP components

DMP components
DMP questions
General Description of Data
  • What kinds of data is your research based on? What data will be collected, produced or reused? What file formats will the data be in? Also give a rough estimate of the size of the data produced/collected.
  • How will the consistency and quality of data be controlled?
Ethics and Legal Compliance
  • What legal issues are related to your data management? (For example, GDPR and other legislation affecting in data processing.)
  • How will you manage rights of data you use, produce and share?
Documentation and Metadata
  • How will you document your data in order to make it findable, accessible, interoperable and re-usable for you and others?  What kind of metadata standards, README files or other documentation will you use to help others to understand and use your data?
Storage and Backup during the Research Project
  • Where will your data be stored, and how will it be backed up?
  • Who will be responsible for controlling access to your data, and how will secured access be controlled?
Opening, Publishing and Archiving the Data after the Research Project
  • What part of the data can be made openly available or published? Where and when will the data, or its metadata, be made available?
  • Where will data with long-term value be archived, and for how long?
Data management responsibilities and resources
  • Who (for example role, position, and institution) will be responsible for data management (i.e. the data steward)?
  • What resources will be required by your data management to ensure that data can be opened and preserved according the FAIR principles (Findable, Accessible, Interoperable, Re-usable)?

Help and guidance

Use DMPTuuli to draft your data management plan.

General guidelines

Contact us

Is there something you did not found in this guide? Or is some important information missing? You can always contact us for further information, and we will help you with the research data management.