CAPABLE D3.3: Specification of the Information Architecture and Data Modeling Based on FAIR Principles
Creators
- 1. Academic Medical Center Amsterdam (AMC), The Netherlands
- 2. University of Pavia, Italy
Description
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.
Notes
Files
CAPABLE_D3.3_Specification_of_the_Information_Architecture.pdf
Files
(1.6 MB)
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