In the second episode of season 3 we meet with Assistant Professor Liesbet Peeters, leading a research group at the Biomedical Research Institute & Data Science Institute, Hasselt University, Belgium, and the lead for the Multiple Sclerosis Data Alliance (MSDA). Liesbet has been described as a 'rising star' in the domain of real world data/evidence, and she had a very interesting path to her current position with a background in bioengineering, gene and cell technology, animal production, and veterinary science and focus on data. We explore Liesbet's trajectory and work in the field of multiple sclerosis, the challenge with working with relevant and representative data, and in particular an 'accidental' interaction with the European Medicines Agency through a workshop, with key recommendations on enhancing the FAIR-ness of MS data. What has frustrated Liesbet is the inability to answer questions we readily ought to be able to, whether in MS or more widely. In working with colleagues, for instance the European MS Platform (EMSP), European Charcot Foundation. and others, Liesbet took the lead in creating the MSDA to respond to these frustrations over the last five years. Alongside this, Liesbet has been collaborating with e.g., EBRAINs, ELIXIR Belgium, DataSavesLives, et al, internationally and locally to address wider aspects of working with RWD/RWE. Liesbet outlines the details of collaborating and building and the complexity involved in the episode. While Liesbet provides a fascinating insight into building a startup in working with data, she goes on to explore the recent work on COVID-19 and MS, answering critical questions quickly to address patient and clinician concerns as the pandemic emerged internationally. Beyond this Liesbet outlines her vision for the future, the collaboration with multiple stakeholders, initiatives and networks, but most importantly working with, 'amazing people'. A future meeting, led by Liesbet and colleagues on 16th November in Baveno, Italy, on the, 'Use of Artificial Intelligence and Great Data to reveal progression in MS' is still open for registrations.