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5w1h+r framework

As explained in Delivering Machine Learning Projects: From design to deployment

The 5W1H+R framework is a questioning framework covering why, who, what, when, where, how, and relationships to other data for investigating data assets.

The 5W1H+R framework structures a data story by asking why, who, what, when, where, and how, then examining relationships with other data. It exposes lineage and provenance while reducing uncertainty before technical access is fully established. section 4.5

Use the framework as an investigation checklist for each data asset:

  • Clarify why the data was created, how it was intended to be used, who owns it, and who can grant access. section 4.5
  • Record privacy and security concerns, source systems, storage arrangements, queryability, and data types. section 4.5
  • Trace when the data and systems were created, major outages or repurposing events, aggregation, replatforming, and relationships to other infrastructure data. section 4.5
  • Check available metadata across the framework’s 27 questions, especially when a data catalog or MDM system is incomplete or absent. section 4.5

How Delivering Machine Learning Projects: From design to deployment covers it

How deep it goes
Defines 27 governance, integration, and compliance questions, but does not provide detailed technical implementation.
Examples
Uses customer accounts of data history, source systems, outages, repurposing, aggregation, and replatforming as investigation prompts.
What it assumes
Assumes access to a customer’s data history but works before complete technical access, catalogs, or MDM metadata exist.
What you can do after
Evaluate data assets by documenting purpose, ownership, access, risks, origins, storage, history, and infrastructure relationships.
How it connects
Connects data governance, integration, compliance, metadata, data lineage, provenance, privacy, security, catalogs, and MDM.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Delivering Machine Learning Projects: From design to deployment. The section links point to the parts of the book it draws on.