Dataset Management
Versioned, push to Flow, publish to Lib
Datasets are versioned with full revision history. One-tap push to ResearchFlow for analysis. Publish to ResearchLib with a DOI for citation.
Built for the way labs actually run
Datasets produced in your experiments are first-class citizens. Every dataset has a version number and a revision history that records what changed and why. The schema, metadata, and provenance — which experiment, which samples, which protocol — are preserved end-to-end.
Push any dataset to ResearchFlow with one tap. The Analysis Agent picks it up and runs descriptive, inferential, and diagnostic tests, then returns results you can drop into your chapter draft. Publish a dataset to ResearchLib with a DOI so other researchers can cite it. The link between the dataset, the experiment, and the published paper is preserved so any result can be traced back to the originating bench work.
Three steps from setup to sign-off
Produce the dataset
Run the experiment. The dataset is captured with full metadata, schema, and provenance.
Push to Flow
One-tap push to ResearchFlow. The Analysis Agent runs tests and returns results.
Publish to Lib
Publish with a DOI for citation. The link back to the experiment is preserved.
Benefits that compound
- Versioned datasets with full revision history
- One-tap push to ResearchFlow for analysis
- Publish to ResearchLib with a DOI for citation
- Metadata, schema, and provenance preserved end-to-end
Goes well with
Try Dataset Management today
Start a 30-day free trial and explore dataset management with the rest of ResearchLab.