We can only have good science if we have good data – the case for data auditing
About the Webinar
This webinar delves into how quality checks were applied to physical chemistry data, uncovering surprising flaws in reputable datasets and showing why such review processes are essential to ensuring scientific accuracy.
Abstract
This talk explores the data auditing process behind the Physical Chemistry Properties data collection. It highlights surprising errors found in trusted sources, the methodologies that were explored, and includes a very persuasive argument for why auditing isn’t just housekeeping – it’s key for building reliable data collections without which we won’t have reliable science.
Biography
Dr Matthew Partridge is a Senior Research Fellow in the School of Chemistry and Chemical Engineering at the University of Southampton. His research background spans the interdisciplinary boundaries between chemistry, physics, and biology, with a particular focus on applied and analytical systems. Since the start of 2025, he has been leading the development of the Physical Chemistry Properties Data Collection as part of the Physical Sciences Data Infrastructure (PSDI) initiative. Alongside his research, he is a science communicator known for his outreach work through ErrantScience and other public engagement projects.
Watch the recording
You can watch this recording via our You Tube channel. Slides are available on Zenodo.
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Related links:
- Skills 4 eosc
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- Creator: Cerys Willoughby
- Last modified date: 2025-11-25
- License: CC-BY-4.0
- Citation: Please cite: Cerys Willoughby, We can only have good science if we have good data – the case for data auditing, https://guidance.psdi.ac.uk/docusaurus-pages/docs/training/webinars/good-data/, PSDI (modified 2025-11-25)
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