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The FAIR Principles provide 15 high-level recommendations to make data Findable, Accessible, Interoperable, and Reusable. However, they do not specify how to realize this. This means that making data FAIR is a non-trivial endeavor. The CAPABLE Platform provides the functionalities to support patients and clinicians in monitoring and, where possible, improving the patients' well-being after cancer treatment. This system encompasses patient data and decision support guidelines, which the implemented information architecture intends to make maximally FAIR. This is realized by means of the following components: A register of globally unique, persistent, resolvable Unique Resource Identifiers A FAIR Data Point that complies with the FAIR Data Point Specification Data Catalog Vocabulary (DCAT) to represent metadata HL7 FHIR to access data A licensing policy The information architecture contributes to fulfilling these project objectives: To specify an information architecture that enables data and meta-data to be FAIR To specify functionalities that enable readability of (meta-)data by humans and machines To specify computer-interpretable guidelines The implemented architecture provides a solid and standardized foundation for FAIR data, in which the metadata can be expanded over time to adhere to current and future practices, and in which other data can be included if relevant.
This deliverable is part of a project receiving funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 875052
FAIR, information architecture, data modeling
FAIR, information architecture, data modeling
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