Applying open/the Fair Principles to archaeology

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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.

text and video

The FAIR Principles

Introduction to the FAIR Principles with examples from across the Humanities

Source: PARTHENOS Training Suite

Level: Basic

video

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

video

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

Booklet

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

article

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

article

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