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In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of computational ...
- FAIRification Process
The FAIR Data Principles apply to metadata, data, and...
- F1
Hence, compliance with F1 will already take you a long way...
- A1.1
A1.1 - FAIR Principles - GO FAIR
- F2
In creating FAIR digital resources, metadata can (and...
- R1.3: (Meta)data Meet Domain-Relevant Community Standards
R1.3: (Meta)data Meet Domain-Relevant Community Standards -...
- I3
I3 - FAIR Principles - GO FAIR
- FAIRification Process
15 mar 2016 · We demonstrate, therefore, that the FAIR Data Principles provide a set of mileposts for data producers and publishers. They guide the implementation of the most basic levels of good Data ...
24 kwi 2017 · In a science fair, data is the answer to the question you asked when you made a hypothesis. The number of kids in your class who prefer apples to oranges, how a stain responds to a cleaner and the inches a tomato plant grew when watered with lemonade are all examples of data.
FAIR data is data which meets the FAIR principles of findability, accessibility, interoperability, and reusability (FAIR). [1][2] The acronym and principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations. [1]
The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18. It should be possible for others to discover your data. It should be possible for humans and machines to gain access to your data.
23 cze 2024 · The FAIR (Findable, Accessible, Interoperable, and Reusable) Data principles have become essential guidelines for modern data management and scholarly publishing. These principles are designed to enhance the quality and impact of research by ensuring data is managed and shared in a way that maximizes its utility and accessibility.
The FAIR Data Principles. This resource provides practical “how-to” guidance to go FAIR (Findability, Accessibility, Interoperability, and Reuse) of digital assets.
