Fresh Meadows, NY, February 4, 2021–Data Conversion Laboratory (DCL), an industry leader in structured data and content transformations, today announces the launch of Content Clarity, a new service offering for scholarly publishers. Content Clarity provides a deep analysis of a publisher’s entire corpus to identify obstacles in content structure that hinder discoverability. Content Clarity generates a report on a wide range of “clarity checks,” including missing DOIs, bad xrefs, duplicate IDs, and more.

With continuous publication models, pre-print servers, and OA publishing models, journal publishers are publishing more than ever before. Publishers’ content collections are complex, often spanning decades, during which time standards have evolved. It is imperative to have clear metrics on current structure and content attributes when strategizing and planning for organizational change to the development, production, and distribution of that content. The results of a Content Clarity analysis provide a pathway to improve access and discoverability.

“Many scholarly publishers have content that spans decades with no single person in-house who has collective knowledge about the collection,” explains Brian Trombley, National Sales Director at DCL. “In the daily cycle to process and publish new research, the task of analyzing the current library can seem daunting but the the benefits of ensuring all content published is properly optimized can have bottom line results. Following a Content Clarity audit, DCL can programmatically clean up the files and enrich the content so it is optimized for modern platforms and researchers.”

DCL is a trusted resource to the scholarly publishing industry and provides a range of digital transformation and content structure services. With the latest advances in artificial intelligence and natural language processing, DCL’s services improve content discovery and interoperability.

To learn more about Content Clarity and schedule a demo, please visit https://www.dataconversionlaboratory.com/content-clarity.

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Data Conversion Laboratory Announces “Content Clarity”

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