01 · DELIVERABLE
Data lifecycle and ownership map
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Research teams managing the data lifecycle · Worldwide online
Research data management platform
Connect your data management plan to real project responsibilities, dataset versions and review decisions.
Request Organisation Demo →Inspect real dataset evidenceTHE BUYER PROBLEM
Resolve the decision behind the request.
A DMP can describe an ideal lifecycle while the working team has no usable naming, access or retention rules.
HOW THE WORK MOVES
Scope first. Traceable decisions throughout.
- Inventory sources and permissions
- Define metadata and versions
- Connect preparation to analysis
- Plan archive, export and deletion
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
Dataset version and metadata requirements
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
03 · DELIVERABLE
A project-level retention and handover plan
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Methods, assumptions and boundaries
RMA is not a substitute for a specialist institutional repository. Confirm archival, residency and preservation needs separately.
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 research teams managing the data lifecycle 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.
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