Pistoia Webinar: Architecture of FAIR Data Platforms: COLID and EDISON at Bayer and Roche


JavaScript Disabled
JavaScript Disabled
(Date and time are shown in your browser's local time zone)

Event Type

Topic: Architecture of FAIR Data Platforms: COLID and EDISON at Bayer and Roche

Date: June 10, 2021

Time: 4 pm BST / 11 am EDT / 8 am PDT

Register Today on Zoom


Webinar Summary

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 based upon semantic models. COLID assigns URIs as persistent and globally unique identifiers to any resource. The incorporated network proxy ensures that these URIs are resolvable and can be used to directly access those assets. The data model of COLID uses RDF and provides content through a SPARQL endpoint to consumers. COLID is both a management system for resolvable identifiers and an asset catalog. It is the core service to realize Linked Data in corporate environments and therefore an essential cornerstone for FAIR data management at Bayer.


The EDISON platform at Roche enables prospective FAIRification of data at the point of entry to the company, by harmonizing, automating, and integrating very heterogeneous and complex processes across multiple departments, building in data standards and quality checks at every step of the process. The EDISON platform is built as an ecosystem of self-contained microservices to ensure maximum performance, scalability, and low maintenance. The current scope of EDISON is clinical non-CRF data, but the platform is scalable and flexible to cover a large variety of data models, both clinical and non-clinical.


This webinar will present the technical details for each of these FAIR data platforms. They each enable seamless access across their respective corporate data ecosystems. They both exploit machine-readable, FAIR Knowledge Graphs to allow for accessing and combining multiple and disparate reference data systems which serve non-experts with intuitive and user-friendly ways of finding and exploring FAIR data. The two webinar presentations will be followed by a Q&A panel discussion.



  • Goekhan Coskun, Principal Information Strategist, Bayer, Germany
  • Holmfridur Thosteinsdottir, Head of Clinical & Biomarker Informatics, Roche, Switzerland