Author Data Management

Author Data Management

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.

Download Case Study >>