Guideline for a FAIR Management of Cultural Research Data

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Introduction
1. Target audience of this guide
2. Specificities of cultural research data
3. Four fundamental prerequisites for understanding the FAIR Principles
4. Stakeholders and their roles in the FAIR process
5. Findable
6. Accessible
7. Interoperable
8. Reusable
9. Implementing the FAIR Principles: project planning recommendations
10. Recommendations for file formats
11. Recommendations for frameworks and reference models
12. Recommendations for metadata standards
13. Bibliography
Acknowledgements
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3. Four fundamental prerequisites for understanding the FAIR Principles

To properly understand the FAIR Principles, one should be aware of the following four aspects.

3.1 Both humans and machines are intended as ‘data analysers’