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But, where do you start to make your dataset or other digital resource data FAIR? What steps are concerned? What do these steps mean and, importantly, how do you implement these steps? The FAIR Metroline provides practical guidance to help you reach your FAIR goals . The FAIR Metroline gives an overview of steps used by and make your data more FAIR.
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Based on a variety of publications and initiatives to reach their FAIR goals models and publications (see the picture below). By properly describing what all of these steps entail and adding practical how-tos, the steps can be used to help researchers and data stewards make data more FAIR.
The steps also provide guidance for onboarding (meta)data to the Dutch National Health Data Catalogue.
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The FAIR Metroline contains many FAIR Metroline entails an extensive list of FAIR steps. Depending on your project and goals only a select number of steps may be relevant. ThusConsequently, each project will have its own specific workflow:
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Given the large number of steps, we focus on The FAIR Metroline is under development, in alignment with the development of the Dutch National Health Data Catalogue. Over the coming months, we will specifically add detailed how-to descriptions and real-life examples of FAIr Metroline steps that align with the development of FAIR Metroline to aid projects and initiatives to onboard (meta)data to the Dutch National Health Data Catalogue, which is currently the Health-RI priority. Using this approach we ensure focus is on steps that are relevant right now for end users. For the current status of the steps see this page.Furthermore, we are also developing FAIR steps together with funders, to incorporate . Onboarding data to the National Catalogue is already a first, very effective step to make your data more FAIR. This includes collaboration with the health domain funders and their efforts to stimulate incorporating FAIR into projects from the start. The exact approach and alignment with the FAIR Metroline is still under developmentFor the current status of the steps see this page.
Overview Metroline
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steps
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Models and further reading
Critical Steps towards Large-Scale Implementation of the FAIR Data Principles
Model: Generic
FAIRopoly – FAIRification Guidance for ERN Patient Registries
FAIR in Action – a Flexible Framework to guide FAIRification
GO FAIR FoundationModel: De Novo
Model: Trust Framework (unpublished)
Model: FAIRopoly
Model: FAIR Plus
Model: GO FAIR
Model: 5 Pillars of FAIRification (unpublished)