Category: Digital data thoughts


  • Life Sciences R&D, pharma, biotech are full of challenges, great ambitions and outcomes for the patients. Data quality, Data value are one of these challenges. Often forgotten or left aside, effective data Stewardship is crucial for any business. Here are some pointers and tips to help care -or shepherd, as I call it- for your…

  • Data is dynamic, constantly moving and interacting with other information. Have you ever wondered about the journey your scientific data takes? Where it’s generated, how it’s used, and whether your current processes are efficient? Data Stewardship: Shepherding Your Data I prefer the term “data shepherding” over “data stewardship” (as I explained in a recent LinkedIn…

  • In the R&D multiverse, many teams working together, producing DATA. Data Stewardship iN this multiverse is challenging. Having A multiskilled Data steward can be invaluable to Master the R&D multiverse. Comparing R&D to a multiverse is not that farfetched. Many teams are working together or more along side but are likely to struggle to understand…

  • You may think that Chemistry data should be treated with the same care as any other data. It is not that simple… Chemistry, molecular structures and reactions, and the rules that go with it, require particular attention and specialised tools. What makes Chemistry Data special? Chemistry data aims to represent 3D molecular structures, the arrangements…

  • You may think that your product is your greatest asset. in fact, your Data is probably your biggest asset. It needs to be treated accordingly. Let me explain. You are a scientist (a medicinal chemist for example) working on a new potential drug, you get 10 mg of this new precious compound, the most valuable…

  • What is Data Stewardship? does it matter in R&D? In Life sciences? What is Data Stewardship? Data Stewardship is the responsible management and oversight of an organisation’s data assets to ensure they are accurate, accessible, and secure. It involves working with the entire data stakeholders to get the most value out of the data, setting…

  • Is AI new in Science?

    Or is it a new hyped label for practises already existing for some time already? What’s its future? In the last 5 years, AI has become omnipresent in all areas of life, especially since the launch of ChatGPT by OpenAI (source report). R&D is not escaping the trend. But is this a new thing in…

  • We heard a lot about connected labs or at least that was the revolution a few years ago. But is the data actually connected? Connected labs In a connected lab, you can control instruments remotely, the measured data from an instrument is accessible from your sofa at home if you wish, as long as  you…

  • With the raise of the “new modalities” such as ADCs, representing the molecular entities is becoming more challenging but still crucial. Small molecules’ structural representation is well established Because small molecules have been used and studied in depth for a log time now, their digital representation is one of most advanced. All the chemists are…