Research Workspace
From everyday care to analysis you can trace.
For research-minded doctors: turn a question into a defined project, a cohort, a governed dataset and an analysis, with every result keeping a path back to its source.
What this gives you
- Defined projects with clear boundaries
- Analysis that stays traceable
- Privacy controls built into the workflow
The research workflow
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Project purpose and ownership
A research question becomes a defined project: who is in it, and why.
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Permitted use
What the project may do is recorded up front.
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Cohort definition
The patient group states exactly who it includes, who it excludes, and why.
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Governed data preparation
Data comes in through defined, bounded steps that keep the source attached.
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Identification-risk controls
Small-group protection and de-identification measures reduce identification risk.
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Versioned transformation
Reshape data without losing earlier versions or the trail between them.
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Analysis
Descriptive and statistical evaluation over the prepared data.
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Visualisation
Charts built for research reading, from the same traced data.
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A result linked to its source
Every output keeps a path back to the records behind it.
What the workspace helps you do
- Import and organise data
Bring appropriate data into a project and keep it organised.
- Build and compare cohorts
Define patient groups by explicit criteria, and see who is excluded.
- Keep data connected to its source
Extracts stay linked to the records they came from, within set limits.
- Review missing information
See what is missing, and how many people each figure is based on.
- Transform without losing versionsIn development
Corrected copies, undo and a visible lineage between versions.
- AnalyseIn development
Descriptive and statistical evaluation designed for clinical questions.
- VisualiseIn development
Research-ready charts from the same traced data.
- Reduce identification risksIn development
Small-group protection is built in; de-identification controls are planned as part of the export path.
- Keep research apart from care
Research access is separate from clinical access, with project boundaries and recorded use.
Privacy, Precisely
What the protections do, and do not, claim
Small-group protection reduces identification risk in previews and results; on its own it does not make data anonymous. Where the difference matters, Nerida distinguishes de-identification, pseudonymisation and anonymisation.
Research runs in projects with clear membership, access rules and records of use. It is never a side door into clinical records.
- Reports & InsightsEveryday reporting answers day-to-day questions; the workspace goes deeper.
- TrustThe same access model governs research and care.
Set the bar with us
We are talking with research-minded doctors about what trustworthy research tooling should look like.