Lectures and seminars CBB seminar: Managing Research Data in a Horizon Europe Project: Practical Lessons from COMBAT

Title: Managing Research Data in a Horizon Europe Project: Practical Lessons from COMBAT

Speaker: Indranil Sinha, Research specialist, Department of Laboratory Medicine, KI.

Host: Henrike Häbel, Statistician, Department of Learning, Informatics, Management and Ethics and Department of Medicine, Huddinge, KI.

Before the seminar, a limited number of sandwiches and drinks will be served on a “First come – first served” basis starting 12:00. Show up early and network!

Talk description

The COMBAT project, funded by the European Union’s Horizon Europe programme, brings together international partners to advance research on dengue and pandemic preparedness. Managing research data across a multidisciplinary consortium presents challenges that go beyond data storage and documentation. This seminar will explore how data management planning translates into practice in a large collaborative research project, covering data organisation, storage and computing infrastructure, FAIR principles, reproducible bioinformatics workflows, and responsible data sharing. Drawing on experiences from COMBAT, the talk will highlight practical challenges encountered, solutions implemented, and lessons learned that may benefit researchers involved in collaborative biomedical and multi-omics research.

About the speaker

Indranil Sinha holds a PhD in Molecular and Cell Biology from Karolinska Institutet, with a focus on epigenetics and bioinformatics. He is currently a Bioinformatics Research Specialist in the Systems Virology Lab at Karolinska Institutet. With over 15 years of experience in bioinformatics, epigenetics, and high-throughput sequencing data analysis, his expertise spans multi-omics integration, single-cell technologies, and reproducible computational workflows. He contributes bioinformatics and research data management expertise to the COMBAT project, supporting collaborative research through robust data organisation, computational analysis, and reproducible workflows.