What question did this study set out to answer?

The central aim is to enhance the discovery and usability of curated datasets from public bioimaging resources.

July 3, 2026Open Access

IDR searcher: a search engine solution for public image resources

KMKhaled MohamedUniversity of Dundee WMWilliam MooreUniversity of Dundee DLDominik LindnerUniversity of Dundee

Key Points

The central aim is to enhance the discovery and usability of curated datasets from public bioimaging resources.
Developed an open-source search engine named IDR searcher to explore public bioimaging datasets.
Utilized Ansible playbooks for deployment and accessibility.
Integrated metadata visualization tools to improve user experience.
IDR searcher efficiently identifies quality datasets, enhancing usability in exploratory research.
Cost-effective solution with potential to bridge existing gaps in dataset accessibility.
Source code available under GPL v2 license, promoting further research and development.

Abstract

Abstract Motivation In recent years, public image resources have emerged, but finding quality data efficiently remains a challenge, therefore limiting reuse. Results IDR searcher is an open-source search engine designed to facilitate the exploration of datasets hosted in public bioimaging resources. The application offers a fast, efficient, cost-effective solution for discovering datasets and has the potential to address current disparities in finding quality datasets for exploratory research and can be combined with metadata visualization tools to enhance usability for the scientific community. Availability IDR searcher is deployed using Ansible playbooks and released under the GPL v2 license. The source code associated with this manuscript is available at https://doi.org/10.5281/zenodo.20641515. Supplementary information Supplementary data are available at Bioinformatics online.

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