Make sure your data is Findable, Accessible, Interoperable and Reusable

ABOUT THE FAIR DATA PLATFORM

FAIR Data Platform

The FAIR Data Platform is an interoperable research infrastructure, which ensures that all data generated within an UNLOCK-project is annotated, analyzed and safely stored according to the FAIR guiding principles. The platform supports the user community by providing access to the data. Additionally, it provides the necessary tools for data discovery and manipulation.

KEY SPECIFICATIONS
Location	Wageningen University & Research
Features	FAIR Data collection, analysis and storage, cloud-based compute workflows modelling support
Contact	Dr. Peter Schaap

FREQUENTLY ASKED QUESTIONS

What does FAIR mean?

FAIR stands for Findable, Accessible, Interoperable, Reusable. Application of these four foundational principles will allow researchers to extract maximum benefit from the research investments made.

I don’t have any experience in bioinformatics. Can I use this platform?

Yes, ofcourse. Our workflows ensure the conversion of data to information, which depends on the metadata provided by the user. The minimum requirement therefore is a detailed metadata document describing the experimental setup.

I want to set up a study and ensure that generated data is made FAIR. Where do I start?

Most important is a good experimental design. That’s why within UNLOCK, we have developed a FAIR Data Station to guide the user in managing the (experimental) metadata. You can visit it here.

I already have a dataset. Can this platform help me?

While we prefer FAIR by Design, our FAIR Data Station (visit here) enables FAIRification of existing data. After FAIRification, data and metadata can still be analysed in the FAIR Data Platform.

Why FAIR?

There are multiple reasons. We have written a three-piece blog-post about this subject. Please read the second part to find out why