Boston, May 14 2020, The Pistoia Alliance, a global, not-for-profit alliance that works to lower barriers to innovation in life sciences R&D, today launched a freely accessible toolkit to help companies implement the FAIR (Findable, Accessible, Interoperable, Reusable) guiding principles for data management and stewardship. The project is funded by large pharmaceutical companies and […]
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and […]
Elsevier is a global information analytics business that helps institutions and professional’s advance healthcare and open science to improve performance for the benefit of humanity. In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Boston, 17 July, 2019 – The Pistoia Alliance, a global non-profit that works to lower barriers to innovation in life sciences R&D, today announced the launch of its FAIR Implementation project, backed by pharmaceutical companies including Roche, Astra Zeneca, and Bayer. The first project milestone by the end of 2019 will be the release of […]
Hear our panel of experts from technology support providers and the biopharma industry share their views on the “Benefits and costs of FAIR Implementation for life science industry”. Hosted by Ian Harrow (Pistoia Alliance). The panellists were James Malone (SciBite), Filip Pattyn, (OntoForce), Drashtti Vasant, Alexandre Grebe de Barron (Bayer)
This article argues that implementing the FAIR (Findable, Accessible, Interoperable, Reusable) data principles is essential for enabling digital transformation and improving R&D productivity in the biopharmaceutical industry. By making data machine-readable and better organized, FAIR enhances the utility of artificial intelligence and machine learning in drug discovery and development. The article discusses the technical, cultural, […]
The Pistoia Alliance and the Linked Data Community of Practice hosted a panel discussion describing three implementations of data catalogs in their quest for the FAIR-ification of data.
Hear Erik Schultes from @GOFAIRofficial (part of the Linked Data Community of Practice seminar schedule, organized by AstraZeneca) discuss what are the FAIR principles and give examples of their implementation.
Public information is only useful if it is Findable, Accessible, Interoperable and Reusable (FAIR). The Pistoia Alliance was pleased to organise with the support of our friends at the Hyve the recent FAIR workshop in Utrecht, and is committed to promoting FAIR principles among the life science community. Fairsharing.org provides a resource that allows scientists […]
Gerd Blanke highlights how flaws in chemical exchange formats create costly inefficiencies and data quality issues, advocating for industry-wide collaboration to establish robust, standardized solutions through the Pistoia Alliance.
Susan Leung outlines the significant interoperability and standardization challenges in exchanging cheminformatics data across complex, multi-vendor environments, calling for improved communication, education, and harmonization of formats.
