How to share data?

Findability, Accessibility, Interoperability and Re-usability are at the heart of data sharing. They are called the FAIR data principles. 

Findability: The first step in (re)using data is to find them. Metadata and data should be easy to find for both humans and computers.

Accessibility: Once the user finds the required data, he/she needs to know how the data can be accessed, possibly including authentication and authorisation.

Interoperability: The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.

Re-usability: The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.

To guide concrete FAIR data implementations, a set of 15 FAIR data principles have been brought forward. They emphasise also machine-actionability because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data. Look up the seminal publication by Wilkinson et al. 2016.

FAIR Principles

To start FAIRifying your data, you may get a step-by-step support by following our FAIR workflow.