Research & Evidence · Field note 07
Research readiness before data access
Direct answer
A grounded place to begin
Research readiness begins before a dataset is opened. The team should establish the question, purpose, approvals, roles, minimum necessary data, access controls, provenance plan, analysis ownership, retention, publication pathway, and stop conditions before receiving or processing information.
Five-part practice
Carry the idea into daily work.
- 01
Stabilize the question
Define the primary question, population, variables, time horizon, outcome, and interpretation boundary.
- 02
Confirm authority
Document ethics review, data-use permission, institutional approval, contracts, privacy requirements, and role-based access.
- 03
Minimize the dataset
Request only the fields, dates, linkages, identifiers, and granularity required for the approved purpose.
- 04
Assign stewardship
Name the source owner, transfer method, storage location, analyst, versioning method, quality checks, and incident pathway.
- 05
Set the publication boundary
Clarify claims, authorship, review, confidentiality, de-identification, retention, deletion, and dissemination expectations.
Questions and answers
Questions that deepen the work
What belongs in a minimum dataset?
Include only the information required to answer the approved question with the necessary validity, linkage, quality, and analytic context.
When should analysis begin?
Begin after the question, authority, dataset definition, provenance, access controls, analytic ownership, and quality pathway are sufficiently established.
Can exploratory work start early?
Exploratory work should remain within approved permissions and be labeled clearly so preliminary patterns do not become unsupported claims.
Related pathways