FAIR data management

The faculty stewards and central FAIR data steward can help you:
- to manage your research data before, during and after your research,
- to make working according to the FAIR principles as easy as possible for you.

We offer UT-researchers

- RDM-(policy) guidelines which you find in the UT Service portal
- RDM- support & (online) courses and training
- ICT facilities: tools, platforms to make your data management easy and secure. For example the UT DMP online tool.

All faculty data stewards

• work with a workplan which they determine in consultation with the faculty based on the needs and priorities of the faculties;
• help with the development of RDM policies on either department or research group level.

Data stewards in the faculties can help you with (for example)

• writing your data management plan,
• advise you about storing, sharing and securing your research data
• with publishing, archiving and registering research data.

Contact your faculty's data steward. 

Why it is important to make your research data FAIR: watch the video

Good, FAIR data management is very important for UT's network data scientist Doina Bucur. Her data describes indigenous astronomies from all over the world. It has a historical and cultural nature. She has collected data objects that describe for example the way different people saw constellations in the sky.

You can contact the central FAIR data steward for

• FAIRification of datasets,
•  grants data management section on FAIR,
• 4TU.ResearchData FAIR Data Fund applications,
• guidance on making research data FAIR.

To make RDM easier for UT researchers the DCC has developed the following tools, platforms and guidelines for you:

• UT DMP tool: Data Management Plan tool for data management plans
• Decision tree "Storage of research data" to find the best solution for storing research data during research.
• Virtual Research Environment VRE
• RDM Costs Estimation guides
• Areda for secure long-term archiving of your research data, currently only accessible with support of a data steward as part of an evaluation of the user experience.
• Mini-lecture (15 min) 'Essentials of Data Documentation'  and presentations.

• A UT-wide data analysis platform on-site
• SRAM, a service to manage access to research resources over the borders of the UT (connected to a new research data storage platform NextCloud).

For more information, see:

• Research support: Research Data Management | RDM | FAIR | Open Access | DMP | University of Twente | Service Portal | University of Twente (utwente.nl)
  
  
• Making data FAIR | Service Portal | University of Twente (utwente.nl)

Good Practices FAIR Data

• Are citizen-scientists willing to share research data and if so, how?
• ‘Good and rapid advice from the FAIR Data Steward for our data management plan for NWO’
• ‘FAIR data accelerate research and enable validation’

Following FAIR principles brings a great deal of benefits to the academic community as well as individual researchers, research organizations and funders:

1. Achieving maximum potential from research data.
2. Achieving maximum impact from research.
3. Increasing the visibility and citations of research.
4. Improving transparency in research and thus enabling reproducibility, replicability, and reliability of research.
5. Speeding up discoveries and revealing new insights into the research, thus facilitating new research questions to be answered.
6. Staying aligned with international standards and approaches.
7. Attracting new partnerships with researchers, business, policy, and broader communities.
8. Staying up to date with new innovative research approaches and tools.