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What is a Requirements-Friendly Data Dictionary — and Why Your MR4DevOps Process Should Include One
A practical guide to separating system-managed data requirements from functional requirements using two custom Azure DevOps Work Item Types.
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Why a Requirements-Friendly Data Dictionary Matters
Most teams describe system-managed data inside functional requirements — scattering data rules across user stories, use cases, and requirement statements. An RFDD pulls that information into two purpose-built Work Item Types so it can be reused, reviewed, and traced.
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Fewer, More Consistent Functional Requirements
Documenting Records and Record Fields in an RFDD eliminates entire categories of requirements that traditionally repeat across user stories — like “Customer records need a unique identifier” or “A Purchase Order must have at least one Line Item.”
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Stakeholder-Friendly Terminology
SMEs already think in terms of records and fields, not entities and attributes. The RFDD uses the language stakeholders use every day — without dictating storage design or implementation.
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Reusable Data Requirements
Like a project glossary, RFDD entries become a single source of truth. Business analysts reference (not re-write) Records and Record Fields when eliciting new functional requirements, keeping vocabulary consistent across the whole solution.
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Completeness Built In
Property-specific help text guides BAs and SMEs through validation, derivation, archiving, privacy, auditability, and more — so every Record and Field is documented to the same standard.
¿Sabías que...?
A typical functional requirement set contains 30–40% data-related statements that could be replaced with reusable RFDD entries. By managing Records and Record Fields as separate Work Item Types in Azure DevOps, teams report shorter elicitation cycles, fewer review iterations, and far cleaner traceability between data and the capabilities that use it.
Desglose
The Two RFDD Work Item Types

Record WIT
Represents a type of recorded data — Customer, Purchase Order, Sales Region. Captures aliases, sourcing, growth, archiving, deletion rules, privacy, and stakeholder involvement.

Record Field WIT
Documents a single fact about a Record — with type-specific properties for Labels, Quantities, Date/Time, Descriptions, True/False, Value Sets, Files, and Related Data.

Linked to Requirements
Record and Record Field entries are Related to Epic / User Story / Use Case / Requirement WITs — giving full traceability from a capability to every piece of data it touches.
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