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Improve Content Quality, Increase Productivity, and Free Up Storage Capacity

Institutions

Institutions Partner with DCL to Innovate, Remain Viable, and Create Long-term Sustainability

Institutions across all sectors of society face significant challenges: to remain viable, create long-term sustainability, and embrace technological changes. Yet these challenges bring with them new opportunities to create, convert, and publish accurate and relevant content that’s valued by customers AND future-ready. With high-quality digital content assets, you can develop innovative products and services that serve your individual community and the wider institutional sector.

DCL offers a proven track record and over three decades of experience along with positive customer reviews to institutions seeking the right methodology and implementation plan to address their digitization needs. Our focus on continuous collaboration with customers provides constant visibility into the progress of the project, a path to long-term value and future improvements, and the Return-On-Investment (ROI) you demand from your data conversion investment.

DCL provides the highest quality standard in the industry, delivering projects with an accuracy rate as high as 99.997%. We offer data conversion services for a varied institutional clientele:

  • Hospitals and medical: Patient records, medical research, drug information, doctors records, reference materials, and publications
  • Libraries: Public, academic, corporate, government, research, and special library collections and repositories
  • Museums: Archives, libraries, special collections and records
  • Universities: Libraries, archives, databases, student records, curriculum management

Full-scale Automation Expertise Transforms Content and Improves Quality

DCL knows the power of robust automation and delivers customized solutions based on proven quality assurance tools that can handle a range of checks such as hyphenation accuracy and duplicate content, as well as catalog conversion and metadata extraction to meet standards and compliance needs.

Specializing in XML, NLM, HTML, MARC & DAISY, DCL uses a combination of Optical Character Recognition (OCR), proprietary recognition and correction technology. It’s part of our commitment to quality in automation, so that you can rely on spot checking work, instead of consuming valuable resources on manual proofing.

We follow an agile approach with multiple iterations and frequent reviews of smaller content samplings, to ensure some immediate ROI, and to identify improvements early on.

Benefit Now and Long-term, from Agile Processes and Ongoing Collaboration

When launching a content conversion project, you might be tempted to collect all materials and just send them to the technology vendor to complete the work. But we collaborate closely with you, over the life of the engagement, so that you get the most out of your strategic investments.

DCL takes a phased approach to digitization, which means that we can define your requirements upfront, then get the conversion running immediately. In each phase we uncover more details and adjust accordingly, instead of trying to account for every variation and implement in "big bang" fashion.

Methodical sampling and continual reassessment saves valuable resources, in both dollars and time. And the process of cataloguing and indexing information rather than extracting it for transactions improves the accuracy of the entire conversion effort.

Finally, you can rely on DCL to ensure that older but still relevant content won’t get lost when new technological advances allow it to be converted. Our collaboration during Quality Assurance (QA) helps catch errors and improve processes to allow for continuous improvement.

Make your content and your institution future-ready. Talk to DCL for the best solution to digitize your content assets.

 

 

 

Learn More: A Case Study in High-Quality Legacy NLM Conversion

Learn More: Automating Complex High-Volume Technical Paper and Journal Article Page Composition with NLM XML and InDesign

 


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