Making Research Useful beyond Publication
Design knowledge transfer around a defined audience, decision and feedback loop.
GRS Editorial · GLRRead guideGRS editorial · Data governance
Align definitions, permissions, access and publication rules across collaborating sites.
Data governance
Align definitions, permissions, access and publication rules across collaborating sites. This guide offers a starting method for teams developing research and institutional decisions. Adapt it to the question, context and relevant scientific, ethics and data requirements.
Step 01
Define the research question, eligible population, variables and data dictionary before collection. Sites may use different systems and local definitions. Record those differences rather than silently merging unlike fields.
Step 02
Identify data controllers or equivalent roles where applicable, permitted uses, transfer routes, retention and security controls. Obtain ethics and institutional permissions suited to each setting. Minimise personal information and consider whether analysis can occur locally.
Step 03
Use validation rules, missing-data reports and versioned transformation scripts. Investigate variation that may reflect coding practices rather than real outcomes. Preserve provenance so analysts can trace every published number to its source and definition.
Step 04
Agree authorship and release rules before analysis. Review disclosure risks in small groups and explain limitations in comparability. Share metadata, methods or aggregate outputs even when raw data cannot be made open.
Illustrative application
Three hospitals may all record referral dates differently. A common data dictionary should define the event precisely and flag sites unable to map their records. Analysts can then report comparable subsets and explain excluded data. Permissions should specify whether identifiable records move between hospitals or whether each site supplies approved aggregate results.
Put it into practice
GRS Group editorial guide · Published 24 September 2026 · Informational guidance, not an empirical study or formal professional advice.
Related research
Further reading
Design knowledge transfer around a defined audience, decision and feedback loop.
GRS Editorial · GLRRead guide