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TUT Research Data Services: Front page

Data life cycle



Source: CC BY Finnish social science data archive, Data Management Guidelines


The start of the data management of a research project is done well when the various stages of the life cycle of research data are considered already when creating the research plan. Research data management or writing a data management plan should not only be considered a necessity enforced by the financier or the organization, but also a tool to make your own research work easier.

By planning your data management well

  • you can save time
  • all of the essential data is saved without fail and won't disappear
  • data archiving is easier
  • opening your data and making it available for reuse is easier
  • you can clarify the rules for research data use within the work group
  • you can secure repeatability of the research work
  • you follow good research practices

TUT Research data services

TUT Research data services helps you with issues concerning your research data management during your research project. If you have questions about data management plans, providing metadata, data sharing and preserving, information security, licenses or technical issues concerning, for example, data preservation, contact us:

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Open TUT

According to the TUT research data policy, by default, all research materials arising from the University’s activities and associated with published research findings are openly accessible.

To support the data management of research projects information about TUT research data services, linked to the different project stages, has been gathered on this site.

Get acquainted with TUT Research data policy and Guidelines for distributing open source software at TUT

TUT promotes open science and research also in publishing activities. The goal is to increase visibility and availability of scientific research. Read more:

Research data

Research materials refer to data sets generated, processed and used in scientific research and used as the basis for research findings. In addition to data, research materials include information describing the context, contents and structure of the data, along with its lifetime management and processing.

Well documented data is

  • Findable
  • Accessible
  • Interoperable
  • Re-usable

Get to know with FAIR-principles and take them as guideline of your research data management.