Forsidebilde av showet The Knowledge Catalyst

The Knowledge Catalyst

Podkast av Victoria Yan, Anandhi Iyappan

engelsk

Teknologi og vitenskap

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Les mer The Knowledge Catalyst

The Knowledge Catalyst is an open science podcast and an EMBL Open Science Community project, where we hear from the voices of researchers about how they tackle some of the biggest challenges in their field with openness and transparency.We get to know EMBL’s open science champions, in how and why they started their open science journey. Each episode is a starter pack with useful resources and links for applying open science and the FAIR principles in a specific use case.

Alle episoder

4 Episoder

episode Jean-Karim Heriché: Open Science must be the standard for modern research cover

Jean-Karim Heriché: Open Science must be the standard for modern research

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

3. juli 2025 - 31 min
episode Mahnoor Zulfiqar: Tackling the bottleneck in metabolomics with a FAIR computational workflow. cover

Mahnoor Zulfiqar: Tackling the bottleneck in metabolomics with a FAIR computational workflow.

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/

12. mai 2025 - 32 min
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