Challenge
Author name disambiguation is an important prerequisite for author‑level analyses of publication data. For many reasons, identifying unique author entities is essential for handling author‑related queries and calculating bibliometric and scientometric measures.
A leading technical professional organization sought an automated solution to process large volumes of author data records from disparate sources and to maintain a high‑quality author database.
Solution
Straive leveraged its Straive Data Platform (SDP) to deliver a holistic solution for author data disambiguation. Data analysts with expertise in bibliographic work ensured both the accuracy and completeness of standardization and disambiguation processes.
Impact
- 600K data points captured
- 65K unique author profiles created
- 99.98% accuracy achieved
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 best‑of‑breed data analytics and AI solutions. By integrating these solutions into core workflows, we deliver measurable real‑world impact and improved ROI through greater efficiency, enhanced user experiences, and increased revenue.
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.
