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Research Data Management: Openness and transparency of the research

This guide provides information about research data management, and how to open and store your research data.

For more information about creating a research data management plan, see DMPTuuli guide.

Guide contents

Openness and transparency of the research

  • Starting point for research data management, Uniarts helsinki data policy, FAIR principles, funders’ requirements, regulations, and more information

Store and open your research data

  • Freezing your research data, storing and publishing, Fairdata services, links to data archives and repositories

Research data examples

  • Three examples on different types of research data and their management


  • Information about ORCID ID and instructions on how to use it

DMPTuuli (separate guide)

  • Information about DMPTuuli tool and instructions on how to use it while writing a data management plan

Contact information

The library provides support to creating data management plans (DMP) and managing and describing data throughout its life cycle. The easiest way to contact us is by e-mail:

Maaria Harviainen, information specialist
tel. 040 710 4225

Harri Ollikainen, information specialist
tel. 050 477 5445

Open science and research data management

The open research process and the good management of the data are aimed at improving the possibilities of verifiability and repeatability of the research at various stages of the research life cycle. This way, the research results can be reused, evaluated, used in decision-making and secured by increasing digital data for future generations of researchers.

Uniarts Helsinki research data policy requires research data management (RDM) plans as part of research projects. Data management plan (DMP) is a tool with which it’s easier to perceive the whole life cycle of research data, and it also help to minimize the risks involved. Research data means all the resources produced, collected or reused during the research process. This way the ethical, secure and efficient use of research data during and after the research project is secured. For these reasons research organizations and funders, such as Academy of Finland, have started to require to open the research data.

Essential for a good DMP is to describe the data adequately (metadata) and archiving it so that it’s possible to open and reuse it in the future. Well-described data is easier to discover and it also affects the visibility of the research. An DMP is improved during the research, but the principles should be clear from the beginning.

To help with the DMP, DMPTuuli tool has been introduced. It guides you step by step when writing out a plan with instructions and examples. Some research funders have exported their requirements into the tool, which should be followed. DMPTuuli plan can be co-written, and you can supplement it during the research project. A finalized plan is attached to the funding application. E.g. Academy of Finland requirements can be found from their website but also within DMPTuuli. If you wish not to use DMPTuuli, you can also write the plan according to the funders’ or research organizations’ instructions.

Read more from the library’s DMPTuuli guide.

Research data life cycle

Research data can be used long after after the research project has ended.

Research data life cycle

(Image: FSD, referenced 2019-07-22, CC BY 4.0).

FAIR data

According to the FAIR principles, the data should be:

  • Findable
  • Accessible
  • Interoperable
  • Re-usable

Read more about FAIR principles from the website.

Get familiar with the FAIR principles with the video below:

Funders’ requirements

The aims to further open science and research can be seen in funders’ requirements.

Academy of Finland

Academy of Finland requires that the research projects it funds, commit to publish the outcomes openly, including research data and methods. If the research data cannot be made openly available, the metadata must be stored in a Finnish or international data finder. (Open) metadata ensures that the research data is findable, accessible, interoperable, and re-usable (FAIR principles).

European Union

European Research Council (ERC) and Horizon 2020 require that the publications of the projects they have funded are published Open Access. Moreover, Horizon 2020 requires that the research data is open, and ERC recommends it.

Sherpa Juliet service

Sherpa Juliet service enables researchers and librarians to see funders' conditions for open access publication. It is a “searchable database and single focal point of up-to-date information concerning funders' policies and their requirements on open access, publication and data archiving”.

(Sources: TUT research data services, CC BY; About Sherpa Juliet, JISC, CC BY-NC-ND)

Information elsewhere

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