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"Quality data remains your key to AI"
- Tammy Bilitzky, Chief Information Officer, DCL |
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NEWSLETTER | August 2026 STRUCTURING DATA AND CONTENT SINCE 1981
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Research Integrity: Automated Review of Scholarly and Professional Plagiarism |
With an estimated 200,000 journal article and conference manuscripts requiring review annually, IEEE required a solution to analyze high-similarity manuscripts with both speed and precision. Crossref Similarity Check Reports are a key part of IEEE's process, yet high-similarity cases (30% or more) demand detailed analysis to differentiate legitimate overlap from potential plagiarism, placing a significant manual burden on reviewers. DCL developed and deployed an automated system to analyze high-similarity manuscripts and generate clear, actionable plagiarism analysis reports. |
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DCL and Bowker Publishing Services Collaborate to Meet Global Accessibility Standards for eBooks |
DCL and Bowker just teamed up to make ebook accessibility standard, not optional. Bowker's eBook Creator Suite now bakes in alt text and language tagging across every service tier, powered by DCL's conversion expertise. Accessible ebooks are no longer just for the premium package! It's well-timed too, with the EU's Accessibility Act already in force and ADA Title II rules landing in April 2027. As Mark Gross put it, ebook accessibility has shifted from nice-to-have to non-negotiable for reaching international markets. If you're a publisher or self-published author using Bowker, this means compliance comes built in, no extra shopping required.
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The Agentic AI Derby ...and DITA Wins! |
Michael Iantosca is a recognized industry leader and authority in enterprise content and AI transformation. Michael was a core member of the IBM team that established IBM's implementation of SGML and DITA. He led the conversion of millions of pages of IBM documentation to SGML and DITA. All this to say, he thinks deeply about information architecture, systems, and semantics. In a recent blog post, Michael details why DITA is build for agentic documentation and Markdown is not. His argument regarding why this new world of agentic documentation demands more machine-readable meaning, not less, is compelling and clear. Read why DITA is the architecture that gives machines the greatest ability to understand, govern, update, and reuse information safely. |
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DCL Bytes: Content Debt in the Age of AI and Why You Need to Pay the Piper |
DCL Bytes is part of the DCL Learning Series and features short, informative clips on technology, structured content, and more. In this 3-minute video short, DCL's Christopher Hill and Marianne Calilhanna discuss the concept of "content debt" and content sprawl and how that undermines AI initiatives before they even begin. Content cleanup and harmonization are foundational steps that enterprise organizations must address before layering AI on top. |
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WEBINAR: The Conference That Wasn't: IEEE's Investigation into a Paper Mill Operation - August 12
Deceptive publication practices continue to threaten the integrity of scholarly communication. Paper mills are more sophisticated, beyond falsified journal submissions, and exploit the conference publishing ecosystem by operating under the guise of legitimate academic conferences to disseminate fabricated research. This DCL Learning Series webinar reprises a case study from IEEE’s investigation into one such organization, which ultimately led to the retraction of the entire conference’s proceedings. [REGISTER NOW]
CONFERENCE: F16 and Training Aircraft Technical Coordination Group - September 14 to 17 | Ogden, UT
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DCL partners with many global organizations that complement our services and offer a complete workflow solution to our customers. Following are some recent highlights from DCL's Partnership Laboratory. |
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Structured Content Is Like Your Closet—More Relevant Than Ever Imagine a decent-sized closet. You have two hanging rods, no drawers, and a lot of stuff. You do your best to organize it, but after a while it’s just a jumble of hangers, piles, and mismatched socks. That’s what unstructured content looked like (and for some, still does). No taxonomy, no metadata, no consistency. You know that someone, somewhere, already wrote the exact same overview or FAQ you need, but you can’t find it. So, you recreate it. Again. That’s how duplicate content multiplies and how costs for writing, reviewing, storing, and translating quietly skyrocket.
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Silverchair Advances the Editor Experience Across ScholarOne with Modern Interfaces & AI-Powered Insight Tools
Silverchair announced two complementary advancements to the editor experience within ScholarOne Manuscripts: the continued rollout of ScholarOne Gateway with new Editor dashboards and the launch of the ScholarOne Editor AI Console. Together, these releases reflect Silverchair's ongoing investment in editorial workflows, addressing one of the industry's most pressing challenges: rising submission volumes against increasingly constrained editorial resources. "Editors are being asked to do more with the same — or fewer — resources, and that strain shows up everywhere from manuscript triage to reviewer communication," said Will Schweitzer, CEO.
[READ MORE] |
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When Word-to-XML Conversions Get Nasty - Mike Gross, CTO at DCL, Details Five Challenging Issues in Word
In 2009, DCL's CTO Mike Gross detailed five challenges that commonly recur when converting Word documents to XML. Not surprisingly, some things never change. Even as AI reshapes content workflows, the mess underneath often looks eerily familiar. This Wayback Machine article digs into the classic headache of converting Word documents to XML, breaking down five real-world formatting horrors: fake tables built from spaces and tabs, misaligned columns, text boxes gone rogue, and more. It's a reminder that "content debt" isn't a new buzzword invented for the AI era; rather, it's the same structural slippiness that's been haunting conversion projects for decades. Back then the fix was cleaner Word styling; today, it's cleaner data for AI pipelines but the underlying problem (and the cleanup effort) hasn't budged much. Take a trip back to see just how far we've come (or have we?). [READ MORE] |
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