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Short description
Short, clear, understandable, general description of the Step. If possible this should be based on research and other accepted sources. The description should be readable for everyone.
Start the Short description with a quote from, for example a paper.
Why is this step important
Explain why this step is an important step in the FAIRification process.
How to
The How to section should:
be split into easy to follow steps;
Step 1
Step 2
etc.
help the reader to complete the step;
aspire to be readable for everyone, but, depending on the topic, may require specialised knowledge;
be a general, widely applicable approach;
if possible / applicable, add (links to) the solution necessary for onboarding in the Health-RI National Catalogue;
aim to be practical and simple, while keeping in mind: if I would come to this page looking for a solution to this problem, would this How-to actually help me solve this problem;
contain references to solutions such as those provided by FAIR Cookbook, RMDkit, Turing way and FAIR Sharing;
contain custom recipes/best-practices written by/together with experts from the field if necessary.
Expertise requirements for this step
Describes the expertise that may be necessary for this step. Should be based on the expertise described in the Metroline: Build the team step.
Practical examples from the community
Examples of how this step is applied in a project (link to demonstrator projects).
Training
Add links to training resources relevant for this step. Since the training aspect is still under development, currently many steps have “Relevant training will be added in the future if available.”
Suggestions
Visit our How to contribute page for information on how to get in touch if you have any suggestions about this page.
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Short Description
A FAIR Implementation Profile (FIP) is a collection of FAIR implementation choices made for all FAIR Principles by a community (for example a research project or an institute). It was developed by the GO FAIR Foundation.
Once published, a FIP can be reused by others, thus acting as a recipe for making data FAIR by a community based on agreements and standards within that community. Therefore, a FIP aids in achieving FAIR principle R1.3, which states that "(Meta)data meet domain-relevant community standards."
Why is this step important
In a FIP it is documented which FAIR-enabling resources (FER) were used within a community for each of the FAIR principles. A FER is any digital object that helps to achieve an aspect of FAIRness (for instance ontologies such as the Human Phenotype Ontology and licenses such as CC BY ).
FIPs can be used as the basis to optimize the reuse of existing FER and to improve data interoperability and cooperation within and between domains.
Pre-made and thoroughly tested FIPs developed by reliable communities have the potential to be widely reused by other communities and significantly speed up the transition to informed FAIR implementations.
How to
Domain specific communities are at the core of creating FIPs (as can be seen in the FIP ontology).
A FIP can be created by answering a set of questions either in the Google spreadsheet FIP mini-questionnaire or in a dedicated version of the online data management platform Data Stewardship Wizard called the FIP Wizard.
For the FIP mini-questionnaire, nothing more is needed than simply creating your own copy and start filling it out. The disadvantage is that although the FIP produced by a mini-questionnaire is perfectly understandable by humans it is less suitable for machines, meaning that further analysis and comparisons between FIPs in mini-questionnaire format will be more difficult.
For the FIP Wizard you need to create an account and go through the FIP Wizard user guide to understand the system and workflow. The FIP Wizard is set up as a question-answer form with both human readable (PDF, Word, Excel, CSV) and machine-actionable (Nanopublicationsnanopublications) output.
Once you have created a community FIP, you can make it discoverable to possible collaborators outside your community by publishing a nanopublication with the template for “Defining a FAIR Implementation Community”. FIPs in nanopublication format can be considered FAIR datasets and are publicly available for reuse via a dedicated online database.
Practical Examples from the Community
The Virus Outbreak Data Network (VODAN)-Africa is a joint activity of CODATA, RDA, WDS, and GO FAIR which has implemented FIPs for their VODAN-Africa project.
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The European Platform for Neurodegenerative Diseases (EPND) has implemented FIPs and uses them to help make data ready for their data platform.
Further reading
FIP Wizard wiki, including the FIP wizard user guide (Github)
Authors / Contributors
Mijke Jetten
Kristina Hettne
Jolanda Strubel
Sander de Ridder
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