Determine goal for FAIRification in terms of desired usability of data that isn’t currently possible
L

DEFINE FAIRIfiCATION

GOAL

PROJECT

EXAMINATION

Iteratively design and implement FAIRification tasks to reach the original goals
L

INTERACTIVE FAIRIfiCATION

CYCLES

Review outcomes and asses success against original goals
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POST FAIRIfiCATION

REVIEW

DEFINE FAIRIFICATION

GOAL

PROJECT

EXAMINATION

INTERACTIVE FAIRIfiCATION

CYCLES

POST FAIRIFICATION

REVIEW

Project examination

Before you can put together a workplan to implement the FAIRification goal, you need to make sure that you fully understand all the data requirements, project capabilities and resources for your project.

For example, if the FAIRification goal targets the annotation of data with open terminologies, it is only implementable if the data is sufficiently well understood to identify suitable controlled vocabularies and ontologies, and if expertise is available to perform the annotation to a sufficiently high standard.

Data requirements

At this stage, you need to identify the characteristics your FAIR dataset should exhibit based on the previously defined FAIRification goal, such as conforming to a specific community standard, creating identifiers, etc. Then you can define the tasks required to fulfil this characteristic.

Every task should be linked to a FAIR indicator, which will specify the actions to be taken but also help identify the expertise needed to fulfil it. In addition, these tasks are expected to have varying levels of complexity depending on the maturity level targeted for the dataset.

Capabilities and resources

In addition to identifying data-related requirements, realising a FAIRification goal also depends on services, capabilities and resources that FAIR data management and hosting environments should exhibit to enable and support the realization of a FAIR dataset.

These tasks are categorized as ”FAIRification capabilities and resources” and include considerations such as data access, data hosting, ontology services and data sharing amongst others, but also the human resources available to perform FAIRification. As with data requirements these capabilities are expected to vary depending on the level of maturity achieved or targeted.

FAIRification Backlog

Now that you have the FAIRification goal, you can now go ahead and create a list of tasks that you would like to do. These tasks do not include implementation considerations yet. This is best done in an agile manner where for each task you assign a priority based on what needs to be completed first and have a person responsible for taking care of the task completion.