01 · DELIVERABLE
Data inventory and file naming plan
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Postgraduate researchers planning their data lifecycle · Worldwide online
PhD data management plan
Prepare a practical data plan you can use throughout the project.
Review My Data Management Plan →Inspect real dataset evidenceTHE BUYER PROBLEM
Resolve the decision behind the request.
Storage, consent and sharing decisions become harder to repair after collection has started.
HOW THE WORK MOVES
Scope first. Traceable decisions throughout.
- Inventory data and formats
- Identify sensitivity and approved storage
- Plan metadata, backup and access
- Agree sharing and end-of-project actions
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
Access, backup and retention worksheet
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
03 · DELIVERABLE
Sharing limitations and supervisor review questions
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Methods, assumptions and boundaries
This is planning support, not a funder compliance determination. Use the current institutional or funder template.
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 postgraduate researchers planning their 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 project uses the existing Personal Research Workspace and the shared RMA account system. 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 →