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I3 (1.5 points)

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https://knobit.org/id/task/mm-requirements-use-cases/I3

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dcterms:licensehttps://creativecommons.org/licenses/by/4.0/
owl:sameAshttps://bitbucket.org/reffa/ontology/id/task/mm-requirements-use-cases/I3
rdfs:labelI3 (1.5 points) en
schema:hasPartmm-requirements-use-cases I3a: a business sponsor and allocated, trained curation effort
schema:hasPartmm-requirements-use-cases I3b: metrics of metadata against its use, not counts of objects harvested
schema:hasPartmm-requirements-use-cases I3c: the risks of poor metadata the draft shows, beyond licence cost
schema:identifierI3
schema:position6
schema:textPeople, measures and risks, 0.5 each. (a) sponsor is a business executive role from the roles table (Chief Operating Officer, Chief Risk Officer or Chief Data Officer) and curation_effort allocates curators' and stewards' time (not spare time), with training or communication before go-live. (b) metrics measure the metadata against its use - use cases answerable at their freshness, steward or curator coverage, load success, confirmed candidates or metadata quality, catalogue use - not only counts of objects harvested and systems scanned. (c) risks name at least two risks of poor metadata beyond licence cost, from those this draft shows: a supervisory finding in the COREP inspection, a change deployed with the wrong impact, curated metadata decaying without curators, wrong personal data classes, stale core banking columns. en

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has questionRetail bank data catalogue requirements - use cases, metadata sources, capture and strategy (metadata requirements anomaly skills)
schema:isPartOfmm-requirements-use-cases I3a: a business sponsor and allocated, trained curation effort
schema:isPartOfmm-requirements-use-cases I3b: metrics of metadata against its use, not counts of objects harvested
schema:isPartOfmm-requirements-use-cases I3c: the risks of poor metadata the draft shows, beyond licence cost