Principles intended to make research data findable, accessible, interoperable, and re-usable (FAIR) have gained increasing traction since they were endorsed by the G20 nations in 2016. Yet, scientists still find their practical application a challenge.
Tools to help researchers apply the FAIR principles are becoming increasingly available. However, there are concerns that commercial actors may risk compromising the goals of open science.
According to Tereza Szybisty, research project manager at the European open science non-profit OpenAIRE, several barriers hinder the implementation of the FAIR principles. These include gaps in infrastructure, limited incentives, and a lack of data stewards. Importantly, these barriers vary between countries, institutions, and disciplines.
“Some areas already have strong infrastructures and support systems in place, while others are still developing them,” Szybisty told Science|Business.
In many cases, research projects face challenges due to these varying levels of support and resources, making the journey toward fully FAIR-compliant data a complex one.
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