01 · DELIVERABLE
Source-preserving working dataset
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Researchers preparing raw files for analysis · Worldwide online
Research data cleaning services
Keep every correction explainable from the original value to the approved working version.
Check My Dataset →Inspect real dataset evidenceTHE BUYER PROBLEM
Resolve the decision behind the request.
Automatic replacements can erase legitimate extremes or convert unknown values into apparent observations.
HOW THE WORK MOVES
Scope first. Traceable decisions throughout.
- Confirm row unit and valid codes
- Screen structure and rule violations
- Approve corrections with reasons
- Version and hand over the clean dataset
Professional delivery uses the existing canonical project and case workflow. Independent QA and release approval are distinct decisions; unresolved findings remain visible.
What the agreed scope can deliver
02 · DELIVERABLE
Field-level cleaning log and codebook
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
03 · DELIVERABLE
Unresolved issue list and analysis handover
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Methods, assumptions and boundaries
No invented values or hidden corrections. Imputation, if justified, is an analysis decision with explicit assumptions.
Source values are preserved; changes require documented reasons. Analysis needs a defined outcome, population, design and eligible records. Review may withhold an unsupported test or conclusion.
Read the RMA methodology →Start with context. Transfer data privately.
The public fit check asks for objectives, stage and constraints. Do not paste participant names, health records, passwords or connector tokens. Access, permitted data, retention and export/deletion arrangements are confirmed before private transfer.
Review data-handling boundaries →Is this a fit?
For researchers preparing raw files for analysis who can explain the intended decision, provide authorised evidence and accept transparent limitations.
Outside scope: fabricated data, guaranteed significance, thesis ghostwriting, clinical decision-making or claims of regulatory certification.
Before you start
What does the first enquiry commit me to?
Nothing is charged through the fit-check form. RMA reviews scope and confirms deliverables, exclusions, timing and price in writing.
Will I need a personal or organisation workspace?
Choose personal research or an organisation project during intake. The same RMA account can participate in both. A professional service is linked to the canonical case; it does not create a separate portal.
Can you guarantee an outcome or approval?
No. Findings depend on the source data and design. QA checks the agreed evidence and cannot guarantee significance, graduation, grant funding or publication.
Prepare a stronger brief.
Research operations overview · Free research tools · Organisation product tour
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