About the Solution
Today, scholarly output is growing exponentially, but the lack of standardization in author metadata results in the same author represented in multiple ways in different publications. Most publishers have author details as metadata in documents only and have no easy referenced, comprehensive database of authors and their profiles. This scenario has made many publishers realize the need for author disambiguation, for which capturing author information from millions of documents and developing a structured database are key prerequisites.
Scope, an award winning provider of outsourced, cost-effective content enhancement and knowledge services, has gained invaluable experience in executing large-scale author data services projects for a number of major players in the global STM information industry. During the last two years, Scope has created over 27 million author database records from journal articles, conference proceedings and other documents. Leveraging its experience and expertise in this area, Scope has developed an author data extraction, standardization, normalization and disambiguation platform that incorporates self-learning mechanisms, standard lookup tables, auto correction systems, amongst others.
Features and Benefits
Scope has ample real-time experience in tackling the key challenges of author data clean up and enhancement, including unstructured data inputs, a variety of naming conventions, data variants, and OCR induced-errors. To cater well to the increasing demands, Scope has designed its services with unique differentiators.
Scope, with its experience gained over the years, has developed knowledge repositories for standardizing author affiliation data such as universities and similar organization as well as cities, states/provinces, and country names. Well versed with the naming conventions of different countries, Scope can ensure the correct representation of first name and surname of authors. We employ time-tested automated workflow tools for rapid processing of voluminous author records and on-time delivery.
To ensure a high level of accuracy, Scope conducts multiple layers of quality control checks at each stage of the author database development process. In addition, Scope uses QC tools including a proprietary Global Check process and a variety of auto correction and semi-manual detection and correction tools, and thus only high-quality output is delivered each time. We also provide expert analysis of the results of any disambiguated output generated through our proprietary algorithms. With extensive web research capabilities, Scope can find missing data and also perform further disambiguation of data through co-author analysis and develop unique author profiles.
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