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FAIR Implementation approach

We collaborate closely to design a FAIR-enabling solution that fits your situation. We start by listening to your needs and requirements and then help you decide where to add the appropriate level of FAIR-enabling capability. 

The FAIR implementation starts with a requirements analysis. The main focus of this stage is determine which level of FAIRness is sufficient to achieve the desired outcomes.

FAIR metadata model is created  covering the relevant concepts, relationships, and meanings. This provides the basis for the machine readability of the solution.

The FAIR-enabling solution is designed that handles the required machine interactions based on the requirements and existing data infrastructure context.   

The FAIR-enabling solution is integrated into the existing data infrastructure. It depends on the scope which interactions and interfaces are implemented. 

Requirements analysis

During the requirements analysis we will identify your FAIR needs in terms of functionality, performance and security. During this stage we:

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  1. Gather your needs through interviews and workshops.​

  2. Agree priorities of taking into account feasibility.

  3. Translate requirements in key user stories.

  4. Finalise and agree requirements and user stories.

FAIR metadata model

Once the requirements and user stories are clear, the FAIR metadata model will be created. During this stage we:

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  • Review known ontologies and semantic models for potential reuse.

  • Analyse existing data to establish fit-for-purpose.

  • Create and finalise the FAIR semantic model.

FAIR solution design

Based on the outcome of the requirements analysis a solutions design is created that fits within the existing data infrastructure. During this stage we:

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  1. Analyse the existing data infrastructure

  2. Design solution architecture supporting the user stories

  3. Create functional and technical specifications

  4. Create implementation plan

Solution Integration

At the solution integration stage the FAIR-enabling solution will be integrated in the existing data infrastructure. It involves: 

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  1. Developing and testing interfaces to the existing infrastructure.

  2. Integrating the interfaces to the FAIR Data Point. 

  3. Test the end-to-end solution, especially the user stories.

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