| ISCBacademy - FAIRification pain-points: support in identifying FAIRification objectives and semantic (meta)data modelling of FAIR resources | |
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| Hosted by: | ISCBacademy |
| Venue: | N/A |
| Dates: | Feb 16, 2024 through Feb 16, 2024 |
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Description |
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| The FAIR Principles provide guidance on how to improve the Findability, Accessibility, Interoperability, and Reusability of digital objects. Since the publication of the principles in 2016, several workflows have been proposed to support the process of making resources FAIR (FAIRification). These workflows define steps such as identifying FAIRification objectives, semantic modelling of (meta)data, hosting and assessment of FAIR data. However, to respect the uniqueness of different communities, both the principles and the available workflows have been deliberately designed to remain agnostic in terms of standards, tools, and related implementation choices. While this flexibility is beneficial, it also poses challenges for those wishing to carry out their own FAIRification, especially for beginners. For instance, the question “Is there a checklist I can follow during FAIRification?” has been frequently asked by newcomers when consulting with FAIR experts, implying a need for simple and detailed guidance. Furthermore, based on previous experiences with FAIRification projects, we have found that preparing for FAIRification (e.g., identifying the FAIRification objectives) and designing the semantic (meta)data models to make resources FAIR are the most challenging FAIRification steps. This talk focus on research results towards providing detailed guidance for these two crucial steps. | |
| Additional Information | |
| Event URL: | https://www.iscb.org/iscbacademy |
| ISCB Member Discount: | TBA |
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