Future location in general Health-RI wiki: child of /wiki/spaces/VD/pages/155751454
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The goal of the National Health Data Catalogue that is being developed by Health-RI is the reuse of valuable health data. Making data FAIR (
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Findable,
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Accessible,
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Interoperable and
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Reusable) is integrated in the architectural design and in all the processes surrounding the
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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 sometimes 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.
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Further elaboration of this page and children pages will follow in future. |
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Making data FAIR
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Developing shared work processes and standards |
As the build of the infrastructure progresses, definitions of the (FAIR) requirements, including the (meta)data standards used, and process descriptions will develop along side of it.
Currently we are working on the Metadata Core definition (page is in development) and on the process for onboarding (meta)data into the national Health-RI infrastructure.
Furthermore, we are developing the FAIRification Metroline (steps involved in making data FAIR) and scenarios, which help you reach a predefined FAIRification goal.
Training and Capacity Building
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Building expertise among data professionals |
We are developing materials and training which will be shared in future in the Health-RI Training Catalog.
Next to that, community building is an also important activity, for example for Data Steward in the existing Health-RI Data Stewardship Community and the national Data Stewards Interest Group.
FAIR advocacy
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Creating awareness of the importance of FAIR data |
There are a lot of benefits from implementing the FAIR principles, but not everybody is yet convinced of investing time and effort. Our FAIR advocacy activities are focused on increasing the awareness of stakeholders of the importance of FAIR data.
Another way of showing the value of FAIR is by presenting examples of projects which already implement FAIR principles successfully. These projects are featured in our Demonstrator Portfolio.
FAIR data in funded health research projects
Funders, such as ZonMw, KWF and Health~Holland, recognize the need for effective collaboration around a robust national health data infrastructure for the (re)use of FAIR (meta)data. They are incorporating the FAIR principles in their requirements more and more. You can read more on this in this statement (in Dutch).
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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: |
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FAIR Training and Capacity building: |
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Within the health sector there currently is no coordinated way to exchange relevant metadata between (research) organisations. The current capturing and connecting of data is fragmented and not equipped to effectively combine and analyse different data sources.
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