Squidr is built for everyone who works with research data, whether you generate it, analyse it, manage it, or are responsible for it at an organisational level. Find your role below to see what Squidr can do specifically for you.
Finding relevant research data today means hours of searching across repositories, downloading files, and manually checking whether the variables you actually need are even there. And when you do find something useful, it rarely comes in a format that’s ready to work with.
Squidr changes that. Every study on the platform is structured the same way, broken down into datasets and individual variables, so you can search precisely for what you need. Looking for a specific biomarker measured in a particular population? Search for it directly, see which studies collected it, and download only what’s relevant. No more opening file after file, hoping the right variable is somewhere inside.
Beyond discovery, Squidr makes it straightforward to publish your own data alongside your publications. Your datasets become findable, citable, and reusable, extending the reach and impact of your work long after a paper is published. Funding bodies and journals increasingly require open data, and Squidr provides a structured, documented way to meet this requirement without additional overhead.
A significant portion of any data science project in a research context is spent on data collection, cleaning, and harmonisation, before any actual analysis begins. When datasets come from different sources, in different formats, with different variable naming conventions, combining them is a project in itself.
Squidr addresses this at the source. Because all studies on the platform follow the same structural framework, study, dataset, variable, the data you find is already organised consistently. Variables are documented with metadata, so you know exactly what was measured, how, and in what context before you download anything. Studies that share design variables can be combined directly, without manual reformatting.
For data scientists working in academia or in collaboration with research institutions, Squidr also provides a reliable, citable source of ground truth data, useful for training models, validating methods, or benchmarking against published findings.
Managing research data across a project lifecycle is complex, coordinating between researchers, ensuring datasets are documented properly, meeting funder requirements, and making sure data is archived in a way that others can actually use. Too often, data management is treated as an afterthought, and the result is datasets that are technically available but practically unusable.
Squidr gives data managers a structured environment to work in from the start. The platform’s consistent framework, built around FAIR principles, means documentation, access control, and publication outputs are all handled in one place. You can define who has access at every level, link to external repositories for large raw datasets, and maintain a unified layer of documentation and legal agreements across your entire project portfolio.
When a study concludes, the data doesn’t disappear into an archive, it becomes a searchable, structured resource that other researchers can discover and build on. That’s good data management with long-term impact.
Institutions face growing pressure to demonstrate the impact and openness of their research, from funders, from journals, and from the wider public. At the same time, managing data across dozens of research groups, with different tools, formats, and practices, makes consistency almost impossible to enforce.
Squidr provides a shared infrastructure that research groups across your institution can adopt independently, while still contributing to a coherent, searchable whole. Because the platform is built around a consistent data structure, studies from different departments become comparable and combinable, a genuine institutional research asset rather than a collection of disconnected files.
For institutions with specific data governance requirements, Squidr supports self-hosting, giving you full control over your data environment while retaining all the platform’s functionality. Access control, documentation standards, and legal agreements are all built in, making it easier to meet compliance requirements without bespoke solutions.
Squidr is free and open source, which means no licensing costs and no vendor dependency. Your institution owns the infrastructure.
