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Research Data Management: Research Data Management

Research data

In this guide, research data refer to digital datasets, which are generated, processed and used in scientific research, and used as the basis for research findings. In addition to datasets, research data include information describing the context, contents and structure of the data (metadata), along with its lifetime management and processing. The research data produced at Tampere University and Tampere University of Applied Sciences are in principle shared and open.

At Tampere University of Applied Sciences (TAMK) research data refer to all the materials, methods and results produced and used in the TAMK research, development and innovation (RDI) projects.

Research data produced within Tampere higher education community should be:


  • Findable
    • your data is provided with metadata and persistent identifier (e.g. DOI), which makes it easy to locate
  • Accessible (data is retrievable)
    • your can be accessed and found, for example, with a web browser from various search services.

    • User identification and requesting possible access rights have been made easy

  • Interoperable (data can be integrated with other data)
    • Use open file formats
    • The data files complies with common standards.

    • Use open and machine readable vocabularies and ontologies to describe your data

  • Re-usable (data is well-described and can be replicated in different settings)
    • The terms of use and licenses of the data are clearly defined.

Familiarise yourself with these FAIR-principles and take them as guideline of your research data management. Check also services produced by CSC - IT for science, and use them to improve the level of FAIRness of your research. Read the Declaration for Open Science and Research (Finland) 2020-2025

Data life cycle

The structure of this guide is based on the data life cycle, and we recommend using the guide throughout the research project. The start of the data management of a research project is done well when the various stages of the data life cycle of research data are considered already when creating the research plan. Writing a data management plan is a practical tool to make your own research work easier and better planned.

                                                            Data Life Cycle

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Research data management

Research data and data management are integral parts of research. This guide provides instructions and resources for the planning, organising, storing, sharing and opening of research data. The guide also offers information about ethical and legal issues as well as about organisational services.

By Planning your data management well

  • you can save time and effort
  • all of the essential data are securely saved and won’t disappear
  • data archiving is easier
  • opening your data and making it available for reuse is easier
  • you can clarify the terms of use of data within the research project
  • you can secure the reproducibility of your research
  • you follow good research practices and responsible conduct of research

Data service

Research Data Services assist the staff and students of the Tampere higher education community in matters related to research data management. What we do:

  • We organise research data management and data protection trainings covering topics such as describing your data, data protection, data storage services and sharing your data. Content of trainings and workshops can be tailored to meet your needs. More detailed information on trainings will be updated to our website. Don't hesitate to contact us!
  • We provide you with this Data management guide and other instructions and resources for the planning, organising, storing, sharing and sharing of research data.
  • We comment on data management plans

Plase email and let’s solve your problem together!

Tampere higher education comunity's Open Science and Research policy

Tampere higher education community promotes responsible and open science, access to digital research data, scientific publications and research methods, and the use of open source codes, standards and interfaces in research. According to the higher education community's Open Science and Research policy:

  • Research data related to research results is by default open and meant for cooperative use
  • Every researcher is responsible for good data management and a data management plan (DMP) should be made at the beginning of a research project
  • Well-managed research data is also regarded as a merit for a researcher

Tampere higher education community promotes open science and research in data management but also in publishing activities. The goal is to increase visibility and availability of scientific research.

Research data should be "as open as possible, as closed as necessary", which is the guideline by the European Commission on Data Management. The Guidelines of FAIR Data Management in Horizon 2020 (pdf) was released in July 2016.


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