This site covers documentation, guides, and solutions.
The platform is currently hosted at squidr.nexs.ku.dk/ while squidr.eu is being finalised.
Stop spending time cleaning and hunting for data.
→ Find structured, ready-to-use datasets from real studies, and focus on what matters.
Access a growing library of real-world research data.
→ Explore variables, compare studies, and build on work that's already been done.
Publish datasets in a consistent, documented format that others can actually find and understand.
→ Make your data count beyond the lab.
Manage research data across teams and departments in one place.
→ Ensure your organisation's data is stored, shared, and cited correctly.
Most data repositories store files. Squidr stores knowledge.
Research typically lives in two disconnected places: the publication that describes what was done, and the raw data sitting in a separate repository, if it’s publicly available at all. Squidr brings both together. Every study on the platform combines written documentation with its underlying structured dataset, so you can read about the methodology and explore the actual data side by side.
Squidr connects studies, datasets, and variables in a consistent structure, making research data easier to find, understand, and reuse. Every study is broken down into its datasets, and every dataset into its individual variables. This means you can search at any level, not just for a study topic, but for a specific measurement, method, or data point across hundreds of studies.
Whether you’re working with measurements, questionnaires, omics data, or complex study designs, it all lives in one consistent, searchable structure. For teams working with large or sensitive datasets, Squidr supports linking to external repositories while keeping documentation, access agreements, and publication outputs in one unified place.
This structure follows the FAIR principles, making your data Findable, Accessible, Interoperable, and Reusable, so it works for the wider research community, not just your own team.
Add your study to Squidr by uploading a CSV file along with your metadata and documentation. A step-by-step guide and example dataset will walk you through the process.
Search and filter across all public studies on the platform. Find data by topic, author, method, or variable, and see exactly what each dataset contains before you download it.
Create an organisation, invite your colleagues, and manage who has access to your data. Work together in a shared hub without sending files back and forth.
There are three ways to access Squidr.
Learn how to upload datasets by following the step-by-step instructions and watching the short video course that guides you through uploading a simple dataset to Squidr. You can also download example training datasets from the free Squidr site.
Using the public site and software is free. Please see below for how to provide acknowledgment.
Your data is protected by your username and password, so keep them private. When you install Squidr on your own server, you have full control over data security.
Yes, definitely! Once you’ve created an organization in Squidr, you can provide full or limited access to others and share data with them, thereby using Squidr as a datahub for your team.
In the current phase, please site Squidr as: Sandøe F, Riber S, Stanstrup J and Dragsted LO: Squidr beta version, https://squidr.nexs.ku.dk/.
The team behind Squidr welcomes contributions in many ways, by using the software, by uploading and sharing studies, and if you have advanced programming skills or good suggestions for developing the software and site, please contact us!