NTNU Open Data

On this page you can find information about NTNU's policy and plan of action for Open Data.

Topic page about research data | Pages labeled with Open Data

Norsk versjon - NTNU Open Data

Plan of action for open access to research data at NTNU, 2018-2020 #

NTNU’s policy for open research data 2018-2025 states that NTNU will develop central and local plans of action with goals and measures to follow up the policy.

Open access to research data forms part of an overall policy of Open Science formulated in both Europe and the US. As for Open Access, the idea is that research data and results produced with public funding should, as far as possible, be accessible to the research community and the public.

This could lead to increased verifiability and transparency of research methods and results as well as reduced expenditure through reuse of data in different contexts. Accessibility could also contribute to more interdisciplinary research, innovation and economic growth.

In connection with funding of research, there are increasing demands to make research data available. For instance, the EU requires a plausible Data Management Plan (DMP) when supporting projects through the Horizon 2020 Framework Programme.

The Norwegian Research Council has a policy for open access to research data where the main principle is “open-by-default”. At the national level, the Ministry of Education and Research is responsible for developing a strategy for making research data accessible.

This plan of action, applicable for three years, presents three specific measures with aims, which together can help equip NTNU to meet increased expectations related to documentation, archiving and sharing of our research data.

1. Information Work #

Currently, work is underway on developing a national solution for managing, archiving and sharing of data. Irrespective of which practical solution is chosen, there is a clear need to collect information about existing requirements, offerings and possible solutions researchers at NTNU could utilize today to meet increased requirements for documentation. One of the most important things NTNU can do is to offer good and useful information to its researchers on this topic.

Overall aim:

Researchers at NTNU should have access to the information they need to meet requirements for documentation, for example related to writing data management plans as part of applications. This information must be clear and easy to find.

1.1 Information Page #


Collect information related to existing practice for research data in one place, with a special focus on what NTNU’s researchers need to know to be able to write good research grant applications and fulfil obligations related to reporting and documentation of research projects.

NTNU is to:

  • Establish an information page on DMP and data repositories by 1 March 2018.
  • Integrate such an information page with a general information service on Open Science, which also includes Open Access.


  • The Communication Division, in cooperation with the University Library, is responsible.

1.2 Open Data Group #


There is a need for continuous information work in the future. NTNU needs expertise and competency on issues related to research data, whether they pertain to application support, metadata description, data curation or determining rights and ownership in research collaborations.

NTNU is to:

  • Establish a working group with participants from several of the involved academic groups (library, communications, IT, research groups) by 1 June 2018.
  • Actively inform about Open Science and NTNU’s policy by visiting all the faculties at NTNU by the end of 2018.


  • The University Library is responsible for establishing a working group for Open Data.

2.     Infrastructure for research data #

The infrastructure for reporting, curating and sharing research data is quickly changing and developing. NTNU must offer its researchers a technical solution for managing and sharing research data, which fulfils recommended international standards and follows the FAIR principles. Such a solution should be coordinated with national and international systems and as far as possible should not rely on in-house solutions.

Overall objective:

NTNU will monitor developments, report requirements to the relevant authorities and assist in the development of a national system for research data infrastructure.

2.1 Needs analysis #


The preparation of the report “Managing and publishing research data” (Håndtering og publisering av forskningsdata) revealed large variation in knowledge about and handling of research data amongst the research communities at NTNU. This is partially due to diverging definitions of research data in different scientific fields, as well as varying emphasis on this issue in the last few years. There is a need for a more thorough analysis of the needs of each discipline related to information and practical organization.

NTNU is to:

  • Conduct a thorough needs analysis related to research data in the various academic communities by the end of 2018.
  • Develop a requirements specification for technical infrastructure for data management based on the needs analysis by 1 March 2019.


  • The University Library, together with the IT Division, is responsible for conducting a needs analysis.

2.2 Data Management Plan #


All research projects at NTNU must at the outset write up a data management plan (DMP), describing the management of data during and after the project with reference to the relevant disciplinary standards for data management and description.

NTNU is to:

  • Identify a common technical solution for data management plans, which is compatible with the development of a national infrastructure for full life-cycle data management.
  • Assist the academic communities in building expertise in research data and data description.


  • The University Library, in collaboration with the IT Division, is responsible for identifying appropriate solutions.
  • The faculties are responsible for building local expertise in research data, with a particular focus on data management plans for application purposes.

2.3 Pilot testing #


A national solution for data management and archiving is under development. NTNU will be an active participant in this development and assist in pilot testing, to ensure that the needs of researchers at NTNU are met and that we are equipped to meet future requirements for reporting, curating and sharing. The pilots should include different disciplines at NTNU.

NTNU is to:

  • Participate in existing pilot testing for infrastructure, including the NORDi and BiRD projects.
  • Actively follow up a possible introduction of a national infrastructure for research data.


  • The University Library in collaboration with the IT Division is responsible for coordinating participation in pilot projects.
  • The academic communities appoint possible candidates for pilot testing and ensure follow-up of the relevant projects, in collaboration with the University Library.

3.     Development of research data support services at NTNU #

Increased requirements for managing and sharing research data also leads to further demands on researchers, both in terms of time and resources to prepare data for sharing, as well as knowledge and competence about data management. In addition to ensure access to technical solutions and infrastructure for archiving and storing research data, NTNU will provide necessary training, guidance, user support and develop an academic environment with expertise on research data management. This work should be seen in connection with NTNU’s policy and services related to Open Access.

Overall objective:

Openly sharing research data should be a natural choice for researchers at NTNU. NTNU will facilitate this with safe and secure technical solutions, as well as assisting with information and guidance. This is best taken care of by an expert community, which can provide assistance in all phases of the research process.

3.1 Training #


Researchers and PhD candidates must be acquainted with NTNU’s policy for open research data and regulations for handling research data, and must have data management competency.

NTNU is to:

  • Offer courses and training in data management, mainly as e-learning courses, by the end of 2019.
  • Consider the possibility of including a course on data management and Open Science as part of the PhD programmes at all the faculties.


  • The University Library is responsible for developing a training programme.
  • The faculties and academic communities are responsible for following up the training of their employees, and preparing a programme adapted to specific disciplinary needs.

3.2 Integrated services for Open Science #


NTNU must have a community of expertise that can offer researchers integrated services and support for archiving, processing and sharing research data, as well as publishing research results with open access. Such a community can develop from existing expertise on open access and the competency gained by working with research data.

NTNU is to:

  • By the end of 2018, assess the establishment of a community of expertise for Open Science at NTNU, assembling the expertise on publishing (Open Access) and research data (Open Data) under one umbrella (Open Science), offering a comprehensive service throughout the research life cycle, from planning till final publication.
  • Given a positive response to the enquiry, establish and equip such a community by the end of 2019.


The University Library in collaboration with the IT Division and the faculties is responsible for this.

See also #

Contact #

  • Research Data @NTNU - if you have questions about open data, or if you have suggestions for changes to the web page
  • Your local library - if you have other questions about library services
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