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Future location in general Health-RI wiki: child of Information

Status
colour

Red

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titlestatus:

under development

🇳🇱

InfoThe ultimate goal of the Health-RI data infrastructure

The goal of the National Health Data Catalogue that is being developed by Health-RI is the reuse of valuable health data. Making

this

data FAIR (

Findable

Findable,

Accessible

Accessible,

Interoperable

Interoperable and

Reusable

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.

Note

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

    and in all the processes surrounding the Catalogue.

    In this section we provide additional information on the following topics, to support making your data FAIR:

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    The FAIR Metroline - Steps for your FAIRification Workflow:
    The aim of the Metroline is to guide you through the FAIRification process in easy-to-follow steps.

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    FAIR Training and Capacity building:
    Provide materials for building expertise among data professionals, which includes community building activities.

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    /wiki/spaces/FSD/pages/33816783
    Ensure that FAIR data requirements are met in funded projects.