In this episode of the Knowledge Catalyst, Dr. Jean-Karim Heriché (JK), the Computational Support at EMBL's Cell Biology and Biophysics Unit, shares insights from his career on how to make your data FAIR and your research more reproducible. He emphasizes that open science begins with consistent, thorough documentation, essential for managing datasets of any size or complexity. JK also advocates for more dedicated resources and support for scientists, recognizing data stewardship as a core part of their work.

For the accompanying resources and transcript, please visit: https://www.embl.org/about/info/open-science/podcast/open-science-must-be-the-standard-for-modern-research/#vf-tabs__section-ba57b372-a3e7-4698-9bbc-6eb88819e29c

In the very first episode of The Knowledge Catalyst, Dr. Mahnoor Zulfiqar, postdoctoral fellow at EMBL, shares how she builds FAIR computational workflows to tackle challenges in metabolomics. From identifying unknown compounds using marine-derived metabolites to integrating tools across platforms with Docker and CWL, Mahnoor’s work enhances reproducibility and supports drug discovery. We explore how standardized, interoperable workflows can improve confidence in data analysis—and rebuild public trust in science.

For the accompanying resources, please visit: https://www.embl.org/about/info/open-science/mahnoor-zulfiqar-tackling-the-bottleneck-in-metabolomics-with-a-fair-computational-workflow/