Start New Research
I Have Ready Data
You provide the dataset — we support cleaning, analysis, interpretation and writing.
Overview
What this pathway is
For researchers holding a collected dataset that has not yet been analysed, or that was analysed without a defensible plan.
Work begins with a data audit: structure, completeness, variable definitions and whether the dataset can answer the intended question.
Fit
Who it is for
- Clinicians with registry or audit data
- Postgraduate students who finished collection but stalled at analysis
- Teams whose previous analysis was rejected on statistical grounds
Scope
Possible research types
Process
Workflow
- 01
Data audit
Assess structure, quality and analytic feasibility.
- 02
Analysis plan
Pre-specify the statistical approach before running models.
- 03
Cleaning & preparation
Documented transformations and derivation rules.
- 04
Analysis
Execution with reproducible outputs.
- 05
Interpretation
Results writing and honest interpretation.
- 06
Publication support
Manuscript, journal selection and submission support.
Scope Clarity
What's included / not included
Included
- Data cleaning and preparation
- Statistical analysis plan
- Statistical analysis
- Tables and figures
- Results writing and interpretation
- Manuscript development and scientific writing support
- Journal selection and submission support
Not included
- No guarantee of journal acceptance or publication.
- No purchased or gifted authorship — authorship follows documented contribution.
- No ghostwriting of work you must author yourself.
- No manipulation of data, results or references.
- No re-collection or fabrication of missing records.
Before You Start
Requirements
- De-identified dataset transferred through an agreed secure channel
- Data dictionary or variable explanation
- Confirmation that appropriate approvals and consent were obtained
Deliverables
Expected outputs
- Cleaned dataset documentation
- Analysis outputs
- Tables and figures
- Manuscript draft
On authorship
FAQ
Frequently asked questions
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