In this paper, the results of an analysis of the data quality performed within quality control of daily bibliographic records production in the period from 2015 to 2020 are presented. The sample included 13,478 bibliographic records with associated authority records. The analysis is based on the data quality dimensions that were attributed to the recorded errors of the reviewed bibliographic and normative records.
Measuring the data quality of the bibliographic and authority records: case study of selected data elements for facet navigation and a displayed list of search results in COBISS+
As one of the segments of data quality analysis, theoretical and methodological approaches towards measuring the quality of data in bibliographic and authority records are presented. On the basis of professional literature review, the paper focuses on metrics, methods of measurement and results analysis.
A set of dimensions was developed for the purposes of quality analysis of data of bibliographic and authority records. The dimensions are qualitative descriptions of the types of data required in records. The set was developed by literature review and typology of errors, prepared by analyzing the recommendations given to librarians within quality control of daily bibliographic records production in COBIB.SI in 2017. The final set consists of 11 dimensions; it includes different data requirements within the following two basic categories of dimensions: quality of data value and quality of data representation.