What you Say is True but how is it Relevant?

by | 2026-Apr-Mon | article

Why graphs ways of thinking and working fail to land and what it really takes to show their value in the Life Science industry. When the Message Doesn’t Land Back in 2017, the demo went well. We had worked hard to articulate a clear and sound logic, supported by...

FAIR is Dead, Long Live FAIR

by | 2026-Feb-Fri | article

The Role of FAIR Principles in the AI Era The Rise, Evolution, and Exhaustion of FAIR When the FAIR Principles were introduced in 2016, they landed with unusual clarity and ambition. They were not a technology, not a data model, not a compliance checklist. They were a...

The Psychology of Knowledge Management

by | 2025-Nov-Thu | article

Barriers and Remedies to Knowledge Management (KM) – Applications to Life Science Industry Knowledge Management (KM) is too often packaged as a purely technical endeavors: search engines, taxonomies, repositories of guidelines and nowadays, increasingly...

Navigating Complexities in Life Science Businesses

by | 2025-Nov-Thu | article

 The Future of Growth in Life Sciences and Biotech Lies in Genuine Data-Centric Transformation Introduction Growth is a central concept in economics and a complex phenomenon in biological systems, where its implications can be both beneficial and detrimental. Be it...

Data Knowledge Maturity

by | 2025-May-Wed | article

What Comes After FAIRification? Once your data has been FAIRified, the next step is to determine how to extract value from FAIR data. This involves addressing key questions such as: How can the value of FAIR data be realized? How can the return on investment (ROI) for...