The DLN FAIR data award 2021

The Centre for Digital Life Norway encourages open science and FAIR data management. For the first 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 15th, 2022.

Original illustration: Colourbox.com / RWGusev, FAIR logo derived from CODATA under CC-BY

or find the form further down in this page

 

Deadline for nominating candidates: January 15th 2022.

Amount of support: 30,000 NOK

 

In order to highlight leading examples of FAIR data management in Norwegian life science research, DLN is for the first 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 2021, to be awarded a prize of 30.000 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:

  1. The overall FAIRness of the data
  2. As the state of the art of FAIR data varies across domains and techniques, it will also 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, marta.eide@uib.no

Korbinian Bösl, korbinian.bosl@uib.no

 

Published Dec. 3, 2021 2:38 PM - Last modified Dec. 3, 2021 3:30 PM