| Status | ||||
|---|---|---|---|---|
|
The FAIR principles aim to make data Findable, Accessible, Interoperable and Reusable, to maximize the reuse of (research) data. See this page for more information on FAIR.
But, where do you start to make data FAIR? What steps are involved? 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 and make your data more FAIR. Each step starts with a short description and why the step is important which are aimed at a general audience. Next it is described how to perform the step and what expertise is needed (
The FAIR Metroline provides practical guidance to help you reach your FAIR goals and make your data more FAIR. Each Metroline step includes a short description, aimed at a general audience, as well as a section describing the expertise that may be necessary for the how-to section. This expertise can vary greatly per step and can include, for example, data stewards, domain experts and legal experts.
Based on a variety of models and publications (see below), the FAIR Metroline entails an extensive list of FAIR steps. Depending on your project and goals only a select number of steps may be relevant. Consequently, each project will have its specific workflow:
...
For the current status of the steps see this page.
How to contribute
The FAIR Metroline will be richer and more feasible to execute if we better consider the organisational context and existing best practices. As a result, the FAIR Metroline is a cooperative effort between the Health-RI Hub and Nodes, involving the many public and private organisations and initiatives that address the reuse of care and research data. We invite you to collaborate with us as we continue to refine the various FAIR Metroline phases. To find out more, email fairservicedesk@health-ri.nl.
Suggestions on how you can contribute to the development of the FAIR Metroline page:
Provide Real-Life Examples: Share practical examples of how FAIR principles have been implemented in different projects or organizations. These examples can help others understand the application of FAIR principles in various contexts.
Contribute How-To Descriptions: Offer step-by-step guides or tutorials on implementing specific FAIR steps. Break down complex concepts into manageable tasks and provide clear instructions on how to execute them.
Share Best Practices: Share insights and lessons learned from your own experiences in making data FAIR. Highlight best practices that have been effective in improving data Findability, Accessibility, Interoperability, and Reusability.
Offer Feedback and Suggestions: Provide feedback on the existing content of the FAIR Metroline page. Suggest improvements, additions, or clarifications to make the guidance more comprehensive and user-friendly.
Collaborate on Case Studies: Collaborate with other individuals or organizations to develop case studies showcasing successful implementations of FAIR principles. These case studies can serve as valuable resources for others embarking on their FAIR journey.
Contribute Resources: Share relevant resources such as tools, templates, or guidelines that can assist in implementing FAIR principles. These resources can complement the guidance provided on the FAIR Metroline page.
Engage in Discussions: Participate in discussions and forums related to FAIR data management. Share your insights, ask questions, and engage with others in the community to exchange knowledge and ideas.
Promote Awareness: Help raise awareness about the importance of FAIR data principles and the availability of the FAIR Metroline page. Share information about the page with colleagues, peers, and relevant networks to encourage broader adoption of FAIR practices.
By actively contributing in these ways, individuals can play a valuable role in enriching the content and usability of the FAIR Metroline page, ultimately supporting the broader goal of advancing FAIR data management practices.
Overview Metroline steps
...