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XML-to-XML Conversion Expands the Depth and Reach of World’s Largest Scientific Citation, Abstract and Reference Database
DATA CONVERSION LABORATORY & ELSEVIER CONTINUE PARTNERSHIP TO MANAGE 24/7 CONVERSION OF CITATIONS, ABSTRACTS AND REFERENCES OF THE ELSEVIER, SPRINGER, APS AND IOP ARCHIVES FOR SCOPUS
Fresh Meadows, NY, July 20, 2015 – Data Conversion Laboratory (DCL), an industry leader in organizing and converting content into digital formats, announced today the start of the second phase of the Scopus Cited References Expansion Program. To date, DCL has converted and enriched 3.7 million Elsevier, American Physical Society (APS) and Springer articles with more than 80 million cited references. The second phase of the project is focused on converting millions of records from more of the world’s top peer-reviewed journal publishers such as the Institute of Physics (IOP) and Wiley-Blackwell.
“We are now in the second phase of our involvement with the Scopus Cited Reference Expansion project, work which we started with Elsevier in 2014,” said Mark Gross, President of DCL. “We are proud of the role we have been privileged to play in enhancing the Scopus database through our tailored, automated process for converting and enriching XML records.”
Scopus, the largest abstract and citation database for peer-reviewed research literature in the fields of science, technology, medicine, social sciences, and arts and humanities, delivers a comprehensive overview of global scientific output.
“Scopus is adding cited references to more than 10 million pre-1996 articles, resulting in a wealth of historic citation data which is of great use to our users. At this scale, capabilities to process data in an automated way and at high precision are essential” said Wim Meester, Head of Product Management for Content Strategy at Elsevier. “DCL has proven that it has these capabilities and we are happy to continue our collaboration to convert the digital archives of different publishers for Scopus."
DCL worked with Elsevier to plan the normalization of the structured and unstructured data received from the publishers. DCL was able to tailor a comprehensive, and fully automated, process to convert and enrich XML records coming from various archives and in various formats to match Elsevier’s XML schema. Additional workflows were created to match, verify and overlay related rich content from other citation databases. This unique reference matching process improves the quality of the final XML data while still supporting the Elsevier schema and business rules validation. The DCL Scopus Cited Reference Expansion Program conversion process runs 24/7 across 30 processing servers to deliver high-quality output in a quick, efficient manner.