
Delivered ProjectsFAIRMethods Hub
Methods Hub
This project enabled the digitization of analytical methods for seamless exchange between different High-Performance Liquid Chromatography (HPLC) systems and Chromatography Data Systems (CDS).
This project enabled the digitization of analytical methods for seamless exchange between different High-Performance Liquid Chromatography (HPLC) systems and Chromatography Data Systems (CDS).
This collaborative project was launched to create a bottom-up qualitative Natural Language Processing (NLP) Use Case Database, to allow NLP practitioners in pharma companies to share successes and failures with their peers.
This project aims to convert unstructured assay protocol descriptions into a high-quality FAIR data set, and create standards for this information.
FAIR implementation project’s goal is to enable pre-competitive instruments for the implementation of FAIR data principles.