The FAIR Data Principles are a set of guiding principles in order to make data Findable, Accessible, Interoperable and Reusable (Wilkinson et al., 2016). These principles provide practical guidance for scientific data management and stewardship and are relevant to all stakeholders in the current digital ecosystem. They directly address data producers and data publishers to promote maximum use of research data [1]. Open Data and Linked Open Data (Tim Berners-Lee, 2006) are complementary concepts which originated from the development of the semantic web whereby resources are uniquely and unambiguously referenced, can be looked up by humans and machines, are useful and include links to other resources. Also, the resources are available for reuse under an Open Licence [2].
ARIADNEplus, along with other projects and initiatives, are promoting these principles for adoption worldwide.
The FAIR Principles
Introduction to the FAIR Principles with examples from across the Humanities
Source: PARTHENOS Training Suite
Level: Basic
FAIR Principles and Trusted Repositories
How DANS combines and operationalizes the FAIR principles and repository certification, a method for assessing FAIRness of data.
Source: PARTHENOS Training Suite
Level: Basic
FAIR Data in Trustworthy repositories: the basics
This video illustrates how certified digital repositories contribute to making and keeping research data findable, accessible, interoperable and reusable (FAIR).
Source: DANS/OpenAIRE
Level: Basic
PARTHENOS Guidelines to FAIRify data management and make data reusable
A compact set of 20 guidelines to align the efforts of data producers, data archivists and data users in humanities and social sciences to align research data to the FAIR Principles.
Source: PARTHENOS
Level: Basic
FAIR-Aware
This tool helps researchers and data managers assess how much they know about the requirements for making datasets FAIR before uploading them into a data repository.
Source: FAIRsFAIR
Level: Basic
FAIRsFAIR Webinars
The FAIRsFAIR Project has produced a series of webinars aimed at researchers, data stewards and repository managers relating to topics regarding FAIR data management and setting up repositories.
Source: FAIRsFAIR
Level: All