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What scientists need to know about FAIR data

Jon Brock
· 1 min read

This article was originally published at Nature Index in February 2019.


The idea that scientific data should be FAIR — Findable, Accessible, Interoperable, and Reusable — is one increasingly endorsed by scientific institutions including the United States National Academies of Science Engineering and Medicine, the European Commission, and the Wellcome Trust. But it is yet to gain much traction among the people that ultimately matter, the scientists generating the data. The 2018 State of Open Data report, published by Digital Science, found that just 15% of researchers were “familiar with FAIR principles”.

So what do scientists need to know about FAIR? Nature Index spoke to Kate LeMay, senior research data specialist at the Australian Research Data Commons, and Lambert Heller, leader of the Open Science Lab at TIB, the German National Library of Science and Technology.


Continue reading at Nature Index

Dr Jon Brock

Science writings: Neuroscience, psychology, science publishing, open science, science communication

Jon Brock

Written by

Jon Brock

Cognitive scientist, science writer, and co-founder of Frankl Open Science. Thoughts my own, subject to change.

Dr Jon Brock

Science writings: Neuroscience, psychology, science publishing, open science, science communication