The Centre for Digital Life Norway encourages open science and FAIR data management. For the second time, we are highlighting and rewarding outstanding examples of life science researchers in Norway who have managed their data according to the FAIR principles. The deadline for nominating candidates is January 31st , 2023.
Original illustration: Colourbox.com / RWGusev, FAIR logo derived from CODATA under CC-BY
Deadline for nominating candidates: January 31st 2023
Amount of support: 10,000 NOK
In order to highlight leading examples of FAIR data management in Norwegian life science research, DLN is for the second time by conferring the DLN FAIR data award. Eligible data sets are those created by researchers based in Norway and focused on life science research. The research does not have to be affiliated with the Centre for Digital Life. The data can, but do not have to, be associated with a scientific publication.
FAIR data management aims to increase the reuse and impact of research data and is an important part of the Open Science initiative. FAIR principles encourage making data Findable, Accessible, Interoperable and Reusable. This allows a wider community to use existing data and facilitate knowledge discovery. Following the principle of “as open as possible, as closed as necessary”, FAIR data should always be interoperable and reusable, but cannot always be possible to access openly (for example, patient sensitive data cannot be directly accessible, but it should be possible to know how to obtain access for specific research questions).
From the nominees, DLN will select the best FAIR data in Norwegian life science of 2022, to be awarded a prize of 10.000 NOK and will be highlighted through our network. The money will be transferred to the associated project(s) and can be spent within the frames set by governmental regulations.
The winner will be selected based on the following criteria:
- As the state of the art of FAIR data varies across domains and techniques, it will be considered how ambitious the data management is within the related research domain
How to make a nomination:
- Use the registration form found above
- Provide a persistent identifier (for example a DOI); maximum 3 per researcher
- Give a short explanation of why you believe this data deserves the DLN FAIR data award
If you have questions about the award, please contact:
Marta Eide, firstname.lastname@example.org
Korbinian Bösl, email@example.com