Challenge
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.
Solution
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.
Impact
- 600K data points captured
- 65K unique author profiles created
- 99.98% accuracy achieved
Learn how Straive used its author data management solution to deliver standardized and disambiguated author records for a leading technical professional organization.
About Us
At Straive, we operationalize data analytics and AI for global enterprises. We leverage our unique people-process-tech framework to build the best-of-breed data analytics & AI solutions. By operationalizing this solution into your core workflow, we deliver real-world measurable impact and better ROIs through a combination of higher efficiency, elevated experiences, and enhanced revenues.
For more information about our services and how we can help you operationalize data analytics and AI, please visit our website: www.straive.com contact us at contact@straive.com.
