Scientific Data Management Platform grit is now free and open source

In October 2024, grit42 announced its decision to release the open-source version of its scientific data management platform, grit, to support Open Science. Open Science aims to make scientific knowledge openly available, accessible, and reusable by utilising digital technologies to foster collaboration and transparency. Now, thanks to the dedicated efforts of grit42 and Fraunhofer-ITMP, an excellent tool is available for all scientists in preclinical drug discovery!

grit42 is an innovative informatics company based in Copenhagen, Denmark, that plays an integral part in three AMR Accelerator projects: COMBINE, ERA4TB, and GNA NOW. grit42 supports the data management activities led by Fraunhofer-ITMP in the AMR Accelerator. A key aspect of this work is establishing the Open Science FAIR (Findable, Accessible, Interoperable, and Reusable) principles in data acquisition and analysis. These principles ensure that researchers can collaborate across institutions and extract maximum value from the data produced.

grit42 has officially launched the open-source version of grit, a scientific data management platform designed to bring enterprise-level capabilities to organisations of all sizes working in preclinical drug discovery. With the open-source release, grit aims to democratise access to robust data infrastructure, enabling scientists and research teams to store, manage, and visualise their data across all phases of the discovery process. Structured and accessible data is critical to accelerating drug development and maximising research impact, and grit is now freely available to help organisations achieve that.

Researchers and organisations are invited to explore and evaluate the platform to see how it could support their work in the lab and beyond!

Curious about data management in AMR Accelerator? Watch these interviews:

Philip Gribbon, COMBINE Data Manager, Fraunhofer ITMP

Claus Stie Kallesøe, COMBINE Data Management Support, grit42

Curious about data management in AMR? Read these interviews with the AMR Accelerator early-career researchers: