Author name disambiguation is an important prerequisite for the author level analyses of publication data. For many reasons, identifying unique author entities is important for handling author-related queries and calculating bibliometric and scientometric measures for authors.
A leading technical professional organization sought an automated solution for processing huge number of author data records from disparate sources and maintain a high quality author database.
Straive leveraged its Straive data platform (SDP) to offer a holistic solution for author data disambiguation. Data analysts experienced in bibliographic work ensured accuracy and completeness of standardization and disambiguation. Benefits delivered include:
- 600K data points captured
- 65K unique author profiles created
- 99.98% accuracy achieved
Download our case study to learn how Straive used its author data management solution to deliver standardized and disambiguated author records for a leading technical professional organization.