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Metadata Quality Assessment×Name Authority Control Evaluation×
DomaineLibrary Information ScienceLibrary Information Science
FamilleProcess / pipelineProcess / pipeline
Année d'origine20042009
Auteur d'origineThomas Bruce & Diane Hillmann; Jung-ran Park & Yuji TosakaIFLA FRANAR (FRAD model); Elaine Svenonius
TypeMeasurement pipeline for metadata qualityEvaluation pipeline for name authority control quality
Source fondatriceBruce, T. R., & Hillmann, D. I. (2004). The Continuum of Metadata Quality: Defining, Expressing, Exploiting. In D. I. Hillmann & E. L. Westbrooks (Eds.), Metadata in Practice (pp. 238-256). Chicago: ALA. link ↗IFLA Working Group on Functional Requirements and Numbering of Authority Records (FRANAR). (2009). Functional Requirements for Authority Data: A Conceptual Model. The Hague: IFLA (rev. 2013). link ↗
AliasMetadata Quality Evaluation, Metadata Quality Measurement, Metadata Assessment, Digital Repository Metadata EvaluationAuthority Control Assessment, Name Authority File Evaluation, Identity Disambiguation Evaluation, Authority Data Quality Evaluation
Apparentées33
RésuméMetadata quality assessment is the systematic measurement of how good a collection's descriptive metadata is for its intended purposes. Thomas Bruce and Diane Hillmann's influential framework defined quality along a continuum of dimensions — completeness, accuracy, conformance to expectations, logical consistency and coherence, timeliness, accessibility, and provenance — and argued that quality must be defined relative to use, then expressed and exploited. Jung-ran Park and Yuji Tosaka surveyed how digital repositories operationalize the three most widely accepted criteria — accuracy, completeness, and consistency — into concrete control mechanisms. Assessment turns these dimensions into measurable indicators, scores records and collections against them, and produces diagnostics that pinpoint where metadata falls short, so that interoperability, discovery, and trust can be improved.Name authority control evaluation is the systematic assessment of how well a name authority file fulfils its core task: gathering everything by or about a given person, family, or corporate body under one controlled access point, while keeping distinct identities apart. The IFLA Functional Requirements for Authority Data (FRAD) model supplies the conceptual yardstick, defining the entities authority data describes and the user tasks — find, identify, contextualize, and justify — that authority control must support. Elaine Svenonius's analysis of the cataloguing objectives explains why collocation and disambiguation are the heart of the matter. Evaluation samples access points, measures collocation (are all of an identity's works gathered?) and disambiguation (are unlike identities kept separate?), and audits the quality of the authority records themselves against FRAD's requirements.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Metadata Quality Assessment · Name Authority Control Evaluation. Consulté le 2026-06-24 sur https://scholargate.app/fr/compare