01 · DELIVERABLE
Responsibility and permission matrix
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Institutions and organisations managing sensitive research · Worldwide online
Research data governance
Make ownership, access, provenance and retention visible before the next dataset arrives.
Review My Data Management Plan →Inspect real dataset evidenceTHE BUYER PROBLEM
Resolve the decision behind the request.
Policies do little when no one knows who can grant access or approve deletion for a particular project.
HOW THE WORK MOVES
Scope first. Traceable decisions throughout.
- Identify controller and accountable owner
- Map roles and project boundaries
- Agree access, retention and incident contacts
- Review governance evidence and gaps
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
Provenance, retention and export requirements
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
03 · DELIVERABLE
A documented fit and security review
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Methods, assumptions and boundaries
No ISO, GCP, GDPR or 21 CFR certification is claimed. Legal and institutional obligations require your own qualified assessment.
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 institutions and organisations managing sensitive research 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?
Your team uses the existing Organisation Workspace with personal accounts and project permissions. 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
Review My Data Management Plan →