Name the responsibility
Make domain, subdomain and product ownership explicit.
OPEN OPERATIONAL FRAMEWORK / COMMUNITY EDITION 0.1
Good governance.
A living practice.
An open, bee-inspired framework that turns data governance principles into ownership, everyday decisions and evidence of value.
For the data community. Adaptable to your organisation. Independent of your technology stack.
HiveBusiness domainCellBusiness subdomainData productAn accountable offeringFarmExecution environmentCombBusiness groupingEcosystemShared purposeSelect a concept to explore
Powered by KDV Ecosystems01 / KNOWLEDGE → PRACTICE → VALUE
FROM PRINCIPLES TO PRACTICE
A framework you can put to work.
A policy matters when someone can act on it. KDV connects what you want to govern, who can decide, how work flows and what demonstrates that it works.
Make the work repeatable
Use agreed processes, versioned contracts and practical decision gates.
Keep the evidence
Connect decisions, controls, tests and outcomes so that improvement can be observed.
BIO-INSPIRED BY DESIGN
Different roles.
A shared ecosystem.
Hives and beekeeping give us a language for cooperation, local responsibility and care for the whole. It is an organisational metaphor: people, decision rights and data products remain explicit.
Explore the operating modelTHE OPERATING MODEL
Five layers. One traceable thread.
Follow a decision from intent to evidence. Each layer gives the next one something concrete to work with.
01
Principles & policies
What must hold truePurpose, classification, retention and the minimum governance baseline.
02
Organisation & roles
Who decides and deliversExplicit owners and stewards, with responsibilities assigned at the right scope.
03
Processes & decisions
How work movesCultivate, govern, share and activate, with review and exception paths.
04
Controls & enablers
How rules take effectContracts, quality checks, access policies, catalogues and operational safeguards.
05
Evidence & improvement
How we know and learnDecision records, test results, usage, incidents and agreed outcome measures.
THE DATA JOURNEY
From a useful question
to a useful data product.
Start small. Define a purpose, follow the four stages and use feedback to improve the next iteration.
Community
Help shape the next iteration.
Bring a question, a better example or a tested improvement. Small contributions count.