#PRCN2020: The best gets better: Scopus data quality, measured

Presented by

Mohan Paturi, Mohan Paturi, US and Andrey Loktev, Elsevier, Netherlands

About this talk

An overview is provided of how technology and a Quality Management Framework is being employed to measure and further improve data quality in Scopus. Data accuracy (both precision and completeness) is critical in the process of informing institutional research decisions and when one reviews an institutions expertise and capabilities. While Pure supports 20 different direct data source imports, Scopus is the most-used source of data imported into Pure instances across all regions globally. To enable further quality improvements at Scopus and other services, Elsevier recently acquired Parity Computing Inc., a profiling technology provider. Presenters will share a Total Quality Measurement & Management (TQM&M) framework employed in the Scopus data teams to think about data quality, to define quality, and measure it findings of data quality sampled from across the Scopus corpus (and segmented by region), and change over time further Scopus plans of relevance to RIM/CRIS consumers of Scopus data.

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