Research data management

Research data management revolves around this question:

How will I collect my research data and describe them, how will I save and share them during my research project, and how will I archive and publish my data and descriptions afterwards?

Data management starts before you collect your research data, and keeps your data verifiable, replicable, citable and reusable long afterward.

Good data management is important, because it:

safeguards the quality of your research;

complies with funder requirements;

increases the impact and integrity of your research; and as such,

contributes to the university’s research reputation.

For a full understanding of research data management and guidance in setting up your data management plan, sign up for our course on Research Data Management.

Research data management entails:

Data policy: UT, faculty or institute, and research group

The University of Twente has an overall data policy on how to handle research data. This policy serves as a starting point for tailored data policies of faculties and/or institutes, and research groups.

Data policies explicitly state the responsibilities and authority within the group. They also state how group members should in principle collect, describe, save and share their data during and after their research.

For guidance in setting up your research group’s data policy, contact the data librarian.










Data Policy UT

Data librarian


Writing your Data management Plan

Having a Data Management Plan (DMP) is essential for your research project. A good DMP lets you work more efficiently, improves the integrity and impact of your research, and complies with legal, contractual and funder requirements.

Although a DMP is written before data collection starts, refining it is an ongoing process during the entire research cycle. A DMP describes what data you will collect and how, it describes how you will save and share them during the research project, and how you will make them sustainably available and publish them afterwards. It also describes your metadata: what will you describe and how? Your metadata describe data as well as processes, such as study protocols and software used for analysis. A DMP also addresses legal issues, such as copyright, the right to use the data and the treatment of sensitive data.

To write your own DMP, please use the University of Twente’s DMP template. When applicable, consult the DMP guidelines of your funder (for example, NWO, Horizon 2020, KNAW, ZonMw).

For a full understanding and guidance in setting up your DMP, sign up for our course on Research Data Management.

Saving and sharing your data during your research project

During your research project, it is important to securely save your (meta)data files and to be able to share them with fellow researchers and stakeholders. Where you save your (meta)data and whom you share them with depends on many factors, such as your research group’s or institute’s data policy, legal and contractual regulations, the nature of your data (standard, sensitive, or critical classification), and access, sustainability and reliability issues.

As a University of Twente researcher, you have the following options for saving and sharing your dynamic research data:

Storage solution



Suitable for

University of Twente (ICTS) central storage M: and P:

full service; reliable, durable, secure; high speed data transfer

no sharing outside UT

saving large data files; master copy of data; use encryption for sensitive and critical data; use SURFfilesender for encrypted data transfer

PC or laptop

always available; portable; low cost; high speed data transfer

sensitive to damage and loss (no automatic backup); no sharing

saving large data files; temporary storage; use encryption for sensitive and critical data

Personal storage devices
(USB flash, external hard drive, DVD/CD)

portable; low cost

easily damaged or lost (no automatic backup); not for sensitive or critical data; difficult sharing

saving large data files; temporary storage of standard data

Non-commercial cloud services
(for example, DataverseNL
1, SURFdrive)

automatic synchronization on several devices; easy access; external sharing

medium speed data transfer; not for sensitive or critical data (SURFdrive: when encrypted)

sharing standard data with external parties

Commercial cloud services (for example, Dropbox, Google Drive, OneDrive)

automatic synchronization on several devices; easy access; external sharing

medium speed data transfer; not for sensitive or critical data; unclear access to data; unclear privacy regulations

sharing standard data with external parties





1 For more information, please contact the data librarian.

Depositing your data in a Trusted Repository

In the light of open science and scientific integrity, sustainably archiving your static data and providing access is crucial. Data repositories let you digitally archive your (meta)data to keep your research verifiable, replicable and reusable for the long term. We recommend using a Trusted Repository: 4TU.ResearchData for technical and natural sciences data, and DANS for social sciences and humanities data. These Trusted Repositories received the Data Seal of Approval, which guarantees reliable, citable data that can be found, accessed (clear rights and licences) and used in the long term, even if the hardware and software become obsolete.

4TU.ResearchData only accepts open data (everyone has unlimited access to your data). DANS prefers open data, but also offers restricted access (access is limited and can only be granted on request) and the possibility to place an embargo on your data (your data will become available after a set period of time, with a maximum of two years).

The University of Twente is in favour of sustainably available and accessible research data, and supports its researchers financially by offering an Open Science Fund.

Publishing your data and enhancing your publications

To publish your data, simply upload them to a Trusted Repository. When you upload your data to 4TU.ResearchData or DANS, a persistent identifier is assigned to your data, which guarantees sustainable access to your data.

Once you have published your data, you can enhance your publication(s). This process is two-fold: You need to let your dataset refer to your article(s), and vice versa.

Letting your dataset refer to your article

Both 4TU.ResearchData and DANS offer the possibility to include a reference to your published article(s). This reference will be part of the metadata describing your data. If permitted, DANS will archive your publication(s) along with the accompanying dataset.

Letting your article refer to your data

For upcoming articles, please make sure that your data reference is included in the reference list of your article. We also recommend mentioning this reference in your cover letter, so reviewers can verify your research. For published articles, please contact the publisher and request a link to your data to be displayed online, along with the description of your article.

More and more researchers enhance their scientific publications by linking them to the underlying data. Research has shown that enhanced publications are cited more often than regular publications1, so digitally archiving your data as citable output and enhancing your publication(s) increases your scientific impact.

1 Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175

More information

For more information about managing your research data, contact your information specialist.




information specialists