The effective application and analysis of data in life science industry demands that such data assets are made Findable, Accessible, Interoperable and Reusable (FAIR).
These guiding principles have been articulated clearly in the seminal paper published in 2016 by Wilkinson et al. The FAIR movement has been growing mostly from academia and more recently it has caught the attention of the biopharmaceutical industry. Most companies are now making substantial investment in FAIR implementation to improve how corporate data assets are managed, as described recently by Wise et al.
In this Pistoia Alliance Debates Webinar you will hear from a panel of experts from technology support providers and the biopharma industry as they share their views on the “Benefits and costs of FAIR implementation for the life sciences industry.”
Hosted by Ian Harrow (Pistoia Alliance).
Our latest blog explains how SciBite's Ontologies team takes public biomedical ontologies and tailors them so that they can be used for named entity recognition (NER).Read
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