To support the implementation of the FAIR guiding principles for the data management cycle by Life Science industry, through sharing best practices and provision of a FAIR Toolkit.

Project deliverables

The first project milestone by the end of 2019 will be the release of a freely accessible toolkit to help life science companies to implement the FAIR (Findable, Accessible, Interoperable, Reusable) guiding principles for data management and stewardship (DOI:10.1038/sdata.2016.18).

Why is this important?

As the life sciences industry continues to transform digitally, the sector needs clear and practical guidance on how data and relevant metadata is captured and managed to foster greater collaboration and more effective partnerships. The FAIR guiding principles help to meet this need, but many companies are struggling to implement the guiding principles as discussed by Wise and co-authors (DOI:10.1016/j.drudis.2019.01.008). This practical need will be addressed by the development of the FAIR Toolkit which will consist of relevant methods and case studies.

What will the project achieve?

The Pistoia FAIR Toolkit will include methods and case studies to support the implementation of the FAIR data management life cycle by life science industry. The methods will include selected tools, tips, FAQs, training materials and change management which will be illustrated by relevant case studies. The FAIR Toolkit will be assembled together on a user-friendly and freely accessible web site.

How will the project do this?

The project team will collect candidate content in a simple wiki and select the most relevant content to support implementation of FAIR by scientists in life science industry. This will lead to the specification, design and implementation of a FAIR Toolkit web site serving as a “one-stop shop”. This is expected to work much like the Pistoia UXLS Toolkit (, which will be a useful reference for building the FAIR Toolkit website.