Research Data

Here you will find information on research data management in all phases of a research project - planning, underway, and project completion. Research data comprise information like numbers, texts, photos and audios, that are collected, observed or created during a research project.

Contact

Send email to:
research-data@nord.no

Planning
Underway
Project completion

Nord University has support services for research data management, with the aim of helping researchers meet the increasing requirements from e.g. research funders and journals concerning FAIR and open data. E-mail: research-data@nord.no

Information on Nord University's guidelines, courses in research data management, and FAIR data are available below.

    • As a general rule, Nord University has ownership of all research data generated by its employees.
    • Research data shall be accompanied by a Data Management Plan (DMP​​).​​ 
    • Research data shall be archived either in Nord University's collection in DataverseNO or in other suitable and reliable repositories, ensuring Nord University’s continuous access to the data.
    • As a general rule, research data shall be made openly accessible for further use for all relevant users, except when there are legal, ethical, security-related or commercial reasons for not doing so.​

    See Nord's complete guidelines for res​earch data management:

    GuidelinesDownload

    See also the Norwegian Government's National strategy on access to and sharing of research data.

  • Previous courses in 2023:

    Webinar-series on research data (13th - 17th, March) including the following topics:

    • How to write a data management plan?
    • How to handle personal data in research projects?
    • Collaboration projects, collaboration agreements and sharing of data
    • Ethical assessments when using research data
    • How to classify and store active research data?
    • How to structure, document and archive research data?

    Powerpoint presentations and more information at iNORD. If you have any questions, contact us at research-data@nord.no.

  • The FAIR principles are overarching principles for data management. FAIR stands for Findable, Accessible, Interoperable and Re-usable. The main purpose with FAIR data is to enable others to find, understand and re-use research data.

    The FAIR principles in a nutshell

    The FAIR principles (Wilkinson et al., 2016) entail the following:

    • Findable: Data is easy to find. Data and supplementary materials have sufficiently rich metadata and a unique and persistent identifier.
    • Accessible: Data is accessible. Metadata and data are understandable to humans and machines. Data is deposited in a trusted repository.
    • Interoperable: Data can be combined and re-used across e.g. systems and institutions and over time. Metadata use a formal, accessible, shared, and broadly applicable language for knowledge representation.
    • Reusable: Data can be re-used. Clear usage licenses and accurate information on provenance.

    Source: libereurope.eu

    An important aspect of FAIR data management is the choice of data repository. Follow this link for more information.