Comment: The FAIR Guiding Principles for scientific data management and stewardship

Document Details

Published Date: March 15, 2016
Source: Scientific Data, a Nature publication 3 (160018)
Document Type: What We're Reading

Abstract or Description

DOI: 10.1038/sdata.2016.18

About this Document

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse
set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have
come together to design and jointly endorse a concise and measureable set of principles that we refer
to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to
enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human
scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically
find and use the data, in addition to supporting its reuse by individuals. This Comment is the first
formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar
implementations in the community.