Method evidence record

Bibliographic Record Quality Analysis

Bibliographic record quality analysis evaluates the catalogue records that describe library resources — typically MARC or linked-data records built to standards such as RDA — to determine how well they serve their purpose. Philip Hider's account of information resource description frames quality in terms of accuracy, completeness, consistency, and conformance to cataloguing rules, while Elaine Svenonius's objectives of the catalogue — to find, identify, select, and obtain resources — supply the functional yardstick against which records are ultimately judged. The analysis samples records, scores them on each quality criterion, checks their encoding and content against the relevant standard, and asks whether they actually let users carry out the catalogue's core tasks. The result is evidence about where cataloguing is strong, where it fails, and what remediation or policy change is needed.

Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.

Source record

Recorded

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bibliographic Record Quality Analysis (Evaluating Catalogue Records Against Functional Objectives)

Taxonomic method recordprocess-pipelinelibrary-information-science

  1. Hider, P. (2018). Information Resource Description: Creating and Managing Metadata (2nd ed.). London: Facet Publishing. · ISBN 9781783302239

  2. Svenonius, E. (2000). The Intellectual Foundation of Information Organization. Cambridge, MA: MIT Press. · ISBN 9780262194334

Open full method2 recorded citations, copied from the method source record.

Curated claims

Assessed

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

Suggested3

Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.