Our projects transform R&D innovation through pre-competitive collaboration. We bring together the key constituents to identify the root causes that lead to R&D inefficiencies. We develop best practices and technology pilots to overcome common obstacles.
A well-defined common core ontology that bridges between regional and functional perspectives on common substance-related data objects and global and scientifically objective representations is required. The goal of our project is to build an IDMP Ontology that enables deep, semantic interoperability based on FAIR principles to enhance and augment the existing ISO IDMP standards.
The goal of this program is to develop leadership and mentoring skills in diverse leaders at life science companies, enabling them to support, initiate, and/or lead diversity efforts at their respective companies.
This project aims to create a community-led knowledge base for R&D Application, Instrument, Data, and Services Integrations.