FAIR Implementation Resources

Please note some resources (e.g. online forums, working documents, tools) are only accessible by Pistoia Alliance active FAIR community of Experts members. See the Terms of use.

Public Resources

FAIR Implementation project on the Pistoia Alliance web site
FAIR Maturity Matrix: http://fairmm.pistoiaalliance.org/ - A maturity assessment model of FAIR data principle implementation at the organisational level for life-science organisations.
FAIR Toolkit for Life Science Industry: https://fairtoolkit.pistoiaalliance.org - Use cases and methods collected by data science professionals from leading companies in the pharmaceutical, agrifood and biotechnology sectors

FAIR4clin: https://fair4clin.pistoiaalliance.org/ - A guide about FAIR for Clinical trial and healthcare data
Public FAIR Implementation Resources on Google drive
Key papers on FAIR data management:
- The FAIR Guiding Principles for scientific data management and stewardship. Wilkinson MD et al 2016 doi.org/10.1038/sdata.2016.18
- Interoperability and FAIRness through a novel combination of Web technologies. Wilkinson MD et al 2017 doi.org/10.7717/peerj-cs.110
- A design framework and exemplar metrics for FAIRness. Wilkinson MD et al 2018 doi.org/10.1038/sdata.2018.118
- Implementation and relevance of FAIR data principles in biopharmaceutical R&D. Wise J et al 2019 doi.org/10.1016/j.drudis.2019.01.008
- Evaluating FAIR maturity through a scalable, automated, community-governed framework. Wilkinson MD et al 2019 doi.org/10.1038/s41597-019-0184-5
- A FAIR principles special Issue of Data Intelligence: 29 articles: All articles in a single pdf or Table of Contents
- Maximizing data value for biopharma through FAIR and quality implementation: FAIR plus Q. Harrow I.D. et al. 2022 https://doi.org/10.1016/j.drudis.2022.01.006
Business case for Pistoia FAIR Implementation project
Pistoia Webinar on Benefits and Costs of FAIR from 31st May 2019 - recording & slides
Pistoia FAIR Community of Interest Webinars:

Speaker	Organisation	Topic	Recording	Slides	Q&As	Day	Month	Year
Ted Slater	Elsevier	Progress towards commercial FAIR data products and services	link	link		19th	Sept	2019
Michel Dumontier	Maastricht Uni	Assessing FAIRness of Core Data Resources at ELIXIR	link	link		17th	October	2019
Henriette Harmse	EMBL-EBI	Open interoperability standards, tools and services at EMBL-EBI	link	link		14th	November	2019
Mark Musen	Stanford Uni	CEDAR work bench for metadata management	link	link		12th	December	2019
Matan Burstin	Clarivate Analytics	Data Market Evolution, a future shaped by FAIR	link	link		20th	February	2020
Ilaria Maresi	The Hyve	Knowledge graphs and semantic models for drug discovery and healthcare	link	link	link	23rd	April	2020
Mathew Woodwark, Erik Schultes & Georges Heiter	AZ, GO-FAIR & Databiology	FAIR by Design	link	link	link	14th	May	2020
Philippe Rocca-Serra	Oxford Uni	FAIRification experience: Clarifying the semantics of data matrices	link	link		28th	May	2020
Amos Bairoch	University of Geneva	The Cellosaurus, a FAIR repository to help researchers navigate the confusing universe of cell lines	link	link		25th	June	2020
Chris Mungall	Lawrence Berkeley National Laboratory	MONDO: a unified disease resource connecting clinical and translational research	link	link		23rd	July	2020

Speaker	Organisation	Topic	Recording & slides	Day	Month	Year
Amos Bairoch	University of Geneva	The Cellosaurus, a FAIR repository to help researchers navigate the confusing universe of cell lines	Link	25th	June	2020
Chris Mungall	Lawrence Berkeley National Laboratory	MONDO: a unified disease resource connecting clinical and translational research	Link	23rd	July	2020
Nelia Lasiera and Javier Fernandez	Roche	Lynx: A FAIR-fuelled reference data integration and look up service at Roche	Link	24th	March	2021
Martin Romacker	Roche	Born to be FAIR (Ian to introduce with call for more use cases for the toolkit followed by Martin presenting on the EDISON use case)	Slides	23rd	April	2021
Gökhan Coskun & Holmfridar Thorsteinsdottir	Bayer & Roche	FAIR data platforms in BioPharma: COLID: A Corporate Linked Data for FAIR data and metadata at Bayer EDISON: Proactive FAIRification system architecture at Roche	Recording/Slides	10th	June	2021
Maxim Moinat	The Hyve	Application of the clinical healthcare data standards, OHDSI OMOP and HL7 FHIR for a specific use case	Link	29th	July	2021
Rama Balakrishnan/Joshua Bernal	QIAGEN / Genentech (Roche)	Data curation as a key element in successful data science strategy / FAIRification of Clinical Trial Data at Roche	Link	18th	November	2021

These wiki pages are available as read-only. Please leave any constructive feedback at the bottom of the respective wiki page or you can make specific comments or suggestions through inline comments on the wiki page. You can also contact giovanni.nisato@pistoiaalliance.org with any queries about this public resource.