Captures atomic, sourced and testable data requirements

https://knobit.org/id/outcome/LO-1

dcterms:description	Stage 1 (Requirements) of the data-modelling skill: Captures atomic, sourced and testable data requirements; produces 01-requirements/requirements.yaml. en
dcterms:identifier	LO-1
dcterms:license	https://creativecommons.org/licenses/by/4.0/
includes knobit	Recognises a data requirement making several claims
includes knobit	Recognises a data requirement prescribing a design solution
includes knobit	Recognises a statement outside the scope of data requirements
includes knobit	Recognises an ambiguous business term in a data requirement
includes knobit	Recognises untestable wording in a data requirement
includes knobit	Recognises an unverifiable data requirement
includes knobit	Recognises a reference with several possible referents
includes knobit	Recognises a data requirement without a named subject
includes knobit	Recognises a measure stated without unit or basis
includes knobit	Recognises a data requirement silent on current versus past values
includes knobit	Recognises an absolute statement with its exception unasked
includes knobit	Recognises a mandatory attribute without its moment of obligation
includes knobit	Recognises a business rule left inside another statement
includes knobit	Recognises content filed under the wrong requirement
includes knobit	Recognises an unsourced data requirement
includes knobit	Recognises a missing or meaningless requirement priority
includes knobit	Recognises a missing or wrong requirement type
includes knobit	Recognises a status contradicting the requirement's content
includes knobit	Recognises a guess recorded as fact
includes knobit	Recognises a missing rationale for a non-obvious requirement
includes knobit	Recognises duplicate data requirements
includes knobit	Recognises paraphrased data requirements
includes knobit	Recognises conflicting data requirements
includes knobit	Recognises inconsistent terminology across the register
includes knobit	Recognises a requirements register with unbounded scope
includes knobit	Recognises a requirements register describing no events
includes knobit	Recognises an uncovered identity requirement
includes knobit	Recognises an uncovered volume or retention requirement
includes knobit	Recognises an uncovered sensitivity or access requirement
includes knobit	Recognises an uncovered lineage requirement
includes knobit	Recognises undecided history requirements across the register
includes knobit	Recognises a requirements register serving no stated question
includes knobit	Recognises a missing or wrong requirement trace
includes knobit	Recognises unstable requirement identifiers
includes knobit	Retires a superseded register entry instead of deleting it
includes knobit	Explains singular and unambiguous requirement statements
includes knobit	Distinguishes a business requirement from a design solution
includes knobit	Explains the data requirement types of the register
includes knobit	Explains requirement attributes and traceability
includes knobit	Explains current value, history and point-in-time reproducibility
includes knobit	Explains the identity of a business thing
includes knobit	Explains the non-functional data concerns
includes knobit	Explains the scope, events and questions a data register must state
includes knobit	Explains referential and logical ambiguity in natural-language statements
includes knobit	Explains persistent identifiers
includes knobit	Explains verifiable requirement statements
includes knobit	Explains consistency within a requirements register
includes knobit	Explains Witt's classification of business rules
owl:sameAs	https://bitbucket.org/reffa/ontology/id/outcome/data-modelling/01-requirements
rdfs:label	Captures atomic, sourced and testable data requirements en
rdfs:label	Kogub atomaarsed, allikaga seotud ja testitavad andmenõuded et
related topic	Data modelling and design (DAMA-DMBOK2 chapter 5)

Used by

assesses learning outcome	Loan application data requirements (data requirement capture skills)
assesses learning outcome	Data modelling knowledge: Terms, rules and the conceptual model (CDMP-style questions)
assesses learning outcome	Data modelling knowledge: Data requirements (CDMP-style questions)
assesses learning outcome	Everyday banking data requirements at the trace gate (data requirement review)
has prerequisite	Builds a conceptual model and its taxonomies
includes learning outcome	Learning path: Data modelling
related learning outcome	Stage 1 — Capturing data requirements
related learning outcome	Data requirement checklist
schema:item	https://knobit.org/id/path/data-modelling/LO-1