Synchronizing the data science workflow with data management at scale

Poster presented as part of the Crick BioImage Analysis Symposium 2023.

The vast quantities of data generated by scientists necessitate efficient management and analysis solutions to aid discovery and understanding of complex biological processes. OMERO is a powerful image data management platform developed by the Open Microscopy Environment (OME), specifically designed for handling life sciences data, including experimental metadata and analytics. Python has become a popular choice for data manipulation, analysis, and visualization due to its extensive catalogue of third-party libraries, many of which are tailored to the scientific community. This poster presents the omero2pandas package, designed to integrate with popular Python data science tools and enable analysis workflows which utilize tabular data stored on an OMERO server.

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