FAIR data management

FAIR data management
A deep dive into research data management 

In this webinar series, the attendees will get detailed information on specific topics in research data management. This is aimed at helping researchers make better use of their time and effort for fulfilling the requirements of major research funders and research-conducting organizations. While Nord University Library provides real-time guidance on these issues at courses, seminars, webinars and one-to-one meetings, being better informed on these topics will make it easier to understand and comply with the requirement of managing data in accordance with the FAIR principles.  

Program of the day

9:30-10:30 A.M.- FAIR principles: Alignment with best practices and implementation in research projects— Sagnik Sengupta (Senior Research Librarian, Nord University)


Break (10 minutes)


10:40-11:30 h - FAIR-ing and sharing qualitative data — Agata Bochynska (Senior Academic Librarian, University of Oslo)

The webinar be in english.

Registration deadline: 9th March, 2026.

A teams link will be sent out to the participants in advance. 

If you have any questions, please contact research-data@nord.no

More about the topics 

FAIR principles: Alignment with best practices and implementation in research projects

FAIR is the umbrella principle in research data management. The strategy of a researcher for complying with FAIR principles is assessed in research grant applications. In addition, the necessity of building up a record of compliance with FAIR principles is foreseeable, especially for young researchers. 

NFR and Horizon Europe require all research data to be FAIR in order to maximize the benefits that academia and other sectors can obtain from research data. As a researcher, it is an obligation to make the data FAIR — findable, accessible, interoperable and reusable. This webinar will touch upon the basics of FAIR principles and point at focal areas that need attention for smooth implementation in research projects.

FAIR-ing and sharing qualitative data  

Handling qualitative data comes with a typical set of challenges. Anonymising and sharing involves a lot of planning and work. Then why is it a requirement to make qualitative data FAIR? How should a researcher plan a project with qualitative data? We will listen to insights and experiences from our guest speaker. 

Upcoming Sessions:

17 March 2026 (Tuesday)
      12:30-13:30 h -  Data Management Plan (DMP)—Boon or bane? — Sagnik Sengupta, (Nord University)

18 March 2026 (Wednesday) Data privacy and archiving
      09:30-10:30 h - Data privacy in research — Toril Irene Kringen (Data Protection Officer, Nord University)
10-min break
10:40-11:30 h - Understanding data archiving with reference to DataverseNO – Sagnik Sengupta (Nord University)

19 March 2026 (Thursday)
      10:00-11:00 h Making data FAIR in the health and care sciences - Huw Haugland-Grange (Senioe Academic Librarian, UiT The Arctic University of Norway

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25. februar 2026

Frokostseminar: Slik vinner du drømmekunden

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08:15
09:30
Mange drømmer om store kunder – men mangler salgskompetansen som kreves
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3. mars 2026

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12:15
13:30
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Litteratursøk - Grunnleggende søketeknikk
Kurs bibliotek
4. mars 2026

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Teams/Zoom
12:15
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