Problemet med å få sendt ut verifiseringsepost er løst. De som har opprettet bruker får nå en epost, hvor de må verifisere brukeren sin og lage passord. Hvis du ikke mottar epost, kontakt [email protected].

FAIR qualitative data in health and nursing sciences

Registration deadline April 22nd.

Dette er en kursrekke som er tilbudt i VINST-alliansen, les mer om dette samarbeidet og de andre kursene her!

Sign up here

 

29 April 2025 (Tuesday) Registration deadline: 22nd April

      10:00-11:00 A.M. FAIR qualitative data in health and nursing sciences — 

      Huw Haugland-Grange (Senior Academic Librarian, University of Tromsø) 

      13:00-14:00: Consortia, contracts and sharing of data — Tor Gustav Sigeman (Senior Advisor, Nord University

 

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 University Library, Nord University provides real-time guidance on these issues through 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. 

Topics, date, time and presenter 

Tuesday 29 April 2025 

10:00-11:00 A.M. FAIR qualitative data in health and nursing sciences — Huw Haugland-Grange (Senior Academic Librarian, University of Tromsø) 

13:00-14:00: Consortia, contracts and sharing of data — Tor Gustav Sigeman (Senior Advisor, Nord University) 

Language 

English 

Registration deadline April 22nd.

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

If you have any questions, please contact [email protected]

More about the topics 

 FAIR qualitative data health and nursing sciences 

 Data in health and nursing sciences often includes qualitative data of sensitive nature, e.g., rich in personal information belonging to special categories. How to best comply with FAIR principles, i.e., plan to make as much of the data openly available as possible? Our guest speaker will present insights and experiences from guiding researchers working on these subject areas.  

Tid

tirsdag 29. apr, 10:00 - 14:00

Hvor

Alle campus
Les mer/meld deg på