The Swiss Personalized Health Network (SPHN) has created a national framework for standardizing the semantic representation of health data, in alignment with the FAIR principles. This framework is implemented in all Swiss university hospitals and utilizes a universal exchange language built upon international standard vocabularies, creating atomic building blocks of knowledge that can be applied […]
Since their publication in 2016, the FAIR principles have become synonymous with good data management practices. The value of becoming FAIR compliant in pharma has been demonstrated time and again as accelerated innovation, reduced lead time to discovery, elimination of data silos, improved efficiency and ability to do advanced analytics. Despite the potential benefits, most […]
Bristol Myers Squibb is proud to share a proposal to standardize our data and information models. The artifacts introduced today serve as foundational knowledge of Research and Development and attempt to capture factual and tacit knowledge in this space. The intention is to collaborate amongst peers to build a standard R&D industry information model. We […]
Whilst life science companies have come to recognize data as their greatest asset, it is also their greatest challenge. The answers to the biggest questions facing the industry today could already be held within the countless proprietary experiment notes, published literature, and patient records produced in previously conducted experiments. The data landscape is continuously growing in […]
This webinar explores why the FAIR data principles are so important for data that is collected during rare and paediatric clinical trials. We introduce the conect4children (c4c) project and present the network that has been established under the IMI2 grant. c4c has a number of interesting tasks around the harmonisation of clinical trial data including […]
We are developing free and open source software solutions for a modular cloud infrastructure suitable for federated big data analytics in the life sciences. Whether you are in academia, the industry or the public health sector: Learn how the deployment of simple building blocks can transform your data or compute center into a modern, highly […]
Leveraging the full potential of data is the key to gaining new insight into the scientific and developmental challenges faced by the pharmaceutical industry today. The FAIR principles offer a conceptual framework to meet this challenge by focusing on making data Findable, Accessible, Interoperable and Reusable, but realisation of these concepts greatly varies depending on […]
Despite considerable progress, the transformative shift from an application-centric to a data-centric perspective, enabled by FAIR implementation, remains very much a work in progress on the ‘FAIR journey’. In this review, we consider use cases for FAIR implementation.
Biopharmaceutical industry R&D continues the shift from being application-centric to being data-centric in recognition of the idea that, while technologies and applications may come and go, it is the data assets from internal and external sources that really drive drug discovery and development. Therefore, it is critically important for organizations to manage data and metadata […]
A Guide for Clinical Trial and Healthcare Data This work was done and is maintained as part of the FAIR implementation project – an initiative by the Pistoia Alliance, a not-for profit organization to facilitate pre competitive collaboration in life science industry. The FAIR4Clin guide consists of three parts: Introduction, Metadata and Application.
Bayer and Roche are leading biopharmaceutical companies, which each have a diverse and distributed ecosystem of platforms to manage data and metadata used by different parts of each organization. Corporate Linked Data Made FAIR (COLID) was developed at Bayer as an open-source technical solution for corporate environments that provides a FAIR metadata repository for corporate assets […]
