Introduction
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.
| Title | Description | Source (URL) | Type | Level |
|---|---|---|---|---|
| The FAIR Principles | Introduction to the FAIR Principles with examples from across the Humanities | PARTHENOS Training Suite | Training module: Text & videos | Basic |
| FAIR Principles and Trusted Repositories | How DANS combines and operationalizes the FAIR principles and repository certification, a method for assessing FAIRness of data. | PARTHENOS Training Suite | Presentation video | 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). | DANS/OpenAIRE | Presentation video | 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. | PARTHENOS | Booklet (PDF) | Basic |
| Preferred Formats = Pre-FAIRed Formats | Presentation of the reasoning behind DANS’s preferred formats policy and demonstrated how such a policy contributes to producing FAIR data. | ARIADNEplus | Presentation (PDF) | Intermediate |
| Archaeological small finds from field to file: Citizen science approach and data structure of the PAN-project | The Portable Antiquities of the Netherlands (PAN) portal and the data model behind the description of the findings are discussed in detail, and how this approach leads to publishing data that is FAIR. | ARIADNEplus | Presentation (PDF) | Intermediate |
References
[1] LIBER – https://libereurope.eu/wp-content/uploads/2017/12/LIBER-FAIR-Data.pdf[2] w3C – https://www.w3.org/TR/ld-glossary/#linked-open-data