Data Lab

The Data Lab combines versioned tabular data, reproducible analysis steps, charts and a conversational agent that can explain results without inventing values.

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SixSentences_· Research, on the recordIn plain termsp. 02

In plain terms

  • 01

    Pin the input

    Dataset versions prevent a later upload from silently changing the basis of an existing result.

  • 02

    Compute, then explain

    Deterministic tools produce statistics and chart values; the agent interprets those outputs instead of estimating them.

  • 03

    Reuse the output

    Move analysis results and charts into a project, figure workflow or manuscript with their source context.

SixSentences_· Research, on the recordA documented workflowp. 03
A documented workflow

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Upload and inspect

Add a tabular dataset, review columns, missingness and data types, then pin the working version.

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Choose an analysis

Ask in plain language or select a supported statistical workflow and its parameters.

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Review exact outputs

Inspect computed values, assumptions, warnings and charts before accepting an interpretation.

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Connect the result

Save the result to a research project or use it as grounded material for a figure or manuscript section.
Fig. 1The evidence table of the demo review, run xpb4qhfv3z: 30 included studies, 5 fields. Values are verbatim, shortened to fit a cell; a sage dot marks a quote located in the source, an amber ring one that needs a source check. Hover a cell to read it with its study.
Fig. 1The evidence table of the demo review, run xpb4qhfv3z: 30 included studies, 5 fields. Values are verbatim, shortened to fit a cell; a sage dot marks a quote located in the source, an amber ring one that needs a source check. Hover a cell to read it with its study.
SixSentences_· Research, on the recordMethod and boundariesp. 04

Method and boundaries

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Language models are useful for choosing and explaining an analysis, but they should not be trusted to improvise numeric results. The Data Lab delegates computation to deterministic analysis tools and returns their outputs to the agent for explanation.

Every saved result records the dataset version and analysis context. This helps distinguish a reproducible output from a conversational suggestion.

  • Dataset versions and column profiles
  • Descriptive and inferential analysis workflows
  • Meta-analysis with forest and funnel plots
  • Exact chart values available for inspection

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A result can be discussed in the Data Lab, visualised in the Visual Lab and cited in the Manuscript Studio without becoming an anonymous screenshot. The shared project context preserves where it came from.

Statistical validity still depends on study design, data quality and assumptions. The agent can surface caveats, but the researcher remains responsible for selecting and reporting the method.

SixSentences_· Research, on the recordQuestions, answered.p. 05

Data Lab

  1. 01Does the AI generate the numbers?

    No. Numeric results are produced by deterministic analysis tools. The agent can explain the output and help choose an appropriate workflow.

  2. 02What happens when the dataset changes?

    Datasets are versioned so an existing analysis can remain tied to the input on which it was run.

  3. 03Can results be used in a manuscript?

    Saved results and charts can be connected to a project and brought into the manuscript workflow with their provenance.

SixSentences_· Research, on the recordContinue through the workspacep. 06

Data Lab

Fig. 2The seven workflows, this one lit. Each line joins a guide to one it continues to; hover a workflow to follow its lines.
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