"We had existing methods to share live analytical data to individual scientists, via emails with data links and attachments. But it was a challenge to find historical data, or data acquired by others. The process involved numerous applications and steps to retrieve data, and the process was different for each function. It was even more difficult accessing data generated by our colleagues in the Oncology R&D team in the US which was organized very differently."
"We are using our analytical data to build our own predictors for NMR spectra. We may be able to use chromatography data to predict retention times and decide on the best purification methods without relying on method screening. That’s both efficient and contributes to more sustainable, green chemistry."