The Image Data Resource: Making Biological Imaging Data FAIR

The Image Data Resource (IDR) already holds over 45 terabytes of biological image data—more than 37 million individual image planes from 46 published studies—and now needs to scale up. This matters because biological imaging data is notoriously difficult to reuse. A single microscopy experiment can generate terabytes of files, and most published images sit in PDF figures or lab hard drives, inaccessible to other researchers. Without a central, searchable repository, scientists cannot verify results, compare datasets, or apply new computational analyses to old experiments. The IDR solves this by making images findable, accessible, interoperable, and reusable (FAIR). If this project succeeds, the IDR will grow to host more diverse datasets and enable cloud-based computation—allowing researchers anywhere to query and re-analyse images without downloading massive files. The team will also redesign the user interface, working with biologists and image analysts through networks like NEUBIAS and Euro-BioImaging, to make the resource easier to use. For the wider scientific community, this means faster validation of published results, fewer duplicated experiments, and the ability to mine historical data for new discoveries. The infrastructure itself is the impact: a quietly running database that changes how biological evidence is shared and built upon.