Future location in general Health-RI wiki: child of Information
STATUS: UNDER DEVELOPMENT
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The ultimate goal of the Health-RI data infrastructure is the reuse of valuable health data. Making this data FAIR (Findable, Accessible, Interoperable and Reusable) is therefor integrated in the architectural design.
Data that will be included in the Health-RI infrastructure needs to meet certain requirements: technical, ethical and FAIR related. These requirements are closely related to each other and will even overlap. The FAIR requirements cover amongst others metadata definitions, accessibility processes definitions, standards used for the coding of data, license definitions for reuse of data etc. We are currently in the process of defining these requirements.
In this section you can find background information on FAIR, for a broad audience, but also detailed information on what FAIR data means in the context of the Health-RI data infrastructure and for funders such as ZonMw and KWF.
Further elaboration of this page and children pages will follow in future.
In the Health-RI FAIR Data Implementation team we work on 3 different themes together with professionals, such as Data Stewards, from the regional nodes:
🛠️ Making data FAIR
Developing shared work processes and standards
🏋️♀️ Training & Capacity Building
Building expertise among data professionals
💡 FAIR advocacy
Creating awareness of the importance of FAIR data
Below you find more details on these activities.
You can find more /wiki/spaces/FSD/pages/163119105
”Sitemap”/table of contents/etc (aligned w other communication pages our team has/ avoid different wording):
Making data FAIR
portfolio demonstrators/champions
Standards
Metadata Core page [add link]
specific (FAIR) requirements for onboarding into the national Health-RI infrastructure
FAIRification process / FAIRification workflow: steps you need to take in order to meet a certain FAIRification goal
Phase 1…
Step 1 FAIRification objectives:
Step 2
Phase 2…
Training and Capacity Building
an overview of FAIR related training and capacity building.
…
FAIR advocacy
funders
FAIR data in funded health research projects: FAIR related services emphasized by ZonMw and KWF