Increasing Your Research's Exposure on Figshare Using the FAIR Data Principles

The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Principles for scientific data management and stewardship’. These were developed to aid in the discovery and reuse of research data.<br>FAIR stands for Findable, Accessible, Interoperable, and Reusable. Data that meet these principles are more optimal for reuse and discoverability and in turn increase your research’s exposure.<br>Here’s how your data is more FAIR when it’s on Figshare.<br>Illustration by Jason McDermott of RedPenBlackPen.FAIR原则（FAIR Principles）于2016年发表于《Scientific Data》期刊的一篇题为《科学数据管理与管护FAIR指导原则》（FAIR Guiding Principles for scientific data management and stewardship）的论文中，该原则的制定旨在助力科研数据的发现与复用。 FAIR为可发现（Findable）、可访问（Accessible）、可互操作（Interoperable）与可复用（Reusable）的首字母缩写。符合该原则的数据在复用性与可发现性上更为优异，进而能够提升研究的可见度。 以下将介绍将数据上传至Figshare平台后，如何使其更契合FAIR原则。 本插图由RedPenBlackPen的Jason McDermott绘制。