Squidr is designed to make data sharing effortless for researchers worldwide while adhering to the FAIR Principles (Findable, Accessible, Interoperable, and Reusable) and respecting ethical guidelines and GDPR requirements.
Current research databases fall into two categories:
Domain-specific databases e.g., genomic data repositories with fixed structures and ontologies.
General-purpose "data dumps" that allow raw data deposits but lack structure.
Squidr is providing a simple design for uploading and downloading curated datasets within a general-purpose structure.
The system allows all datasets from a study to be combined into a single coherent structure.
This allows Squidr to be used both as a datahub and as a FAIR data sharing tool.
Researchers can upload tabular data of all types, enabling versatility across disciplines.
The system can accommodate complex study designs,observational as well as experimental.
The system can accomodate practically any kind of measurements, including clinical data, 'omics', and questionnaires.
Datasets are directly linked with their study design, making them intuitive to interpret and reuse for further analysis.
Searchable. Squidr allows researchers to search across studies with ease. Searching e.g. metabolomics features to discover where they were observed previously.
Reusable. Download public datasets for analysis in other contexts.
We imagine a future where every university and research institution runs its own Squidr server to curate and share data. These servers form a federated network, allowing researchers to search and retrieve data across institutions seamlessly. While access can be restricted as needed, we champion openness wherever possible to foster innovation.
Squidr bridges the gap between structure, usability, and openness—empowering researchers to collaborate and build upon each other’s work.
