Reading: The Once And Future Riot (2025) - #JoeSacco
(Review Nov 2025) https://www.theguardian.com/books/2025/nov/19/the-once-and-future-riot-by-joe-sacco-review-a-masterclass-in-visual-reportage
#art #BooksOf Mastodon #Graphicnovels #Illustration #Muzaffarnagar #UttarPradesh #Hindus #Jats #Muslims
⏳ Last chance! The deadline to submit a proposal for JATS-Con (February 16 at #NISOPlus26 in Baltimore) is here!
Share your ideas relevant to the use—or non-use!—of the Journal Article Tag Suite &/or its extensions by end of your day **today**, December 12: https://forms.gle/3PaZEUUdN1vM62ai8
#JATS users: the deadline to submit a proposal for JATS-Con (February 16 at #NISOPlus26 in Baltimore) is approaching!
Share your ideas relevant to the use—or non-use!—of the Journal Article Tag Suite &/or its extensions by this Friday, December 12: https://docs.google.com/forms/d/e/1FAIpQLSdFggXMcFjzjEaNbBmW6bUzoG7juZfZbRN65AQ5gi0mL0NxjA/viewform?usp=sharing&ouid=109512780686842656678
Was just in a meeting about the future of #JATS and #BITS and #STS #NISO standard was of representing and interchanging journal articles (mainly #STEM) and books between authors, publishers, feeds, platforms, systems.
This is a complex ecosystem with a lot of very necessary and carefully managed metadata, and the #XML markup is a huge win for them.
Interested in novel tech for distributing research documents?
The first edition of the Baseprint Document Format (BpDF) specification (based on #jats) is published ... as a Baseprint document succession of course:
https://perm.pub/DPRkAz3vwSj85mBCgG49DeyndaE/1
Create and preview your own Baseprint document snapshots using Baseprinter (built on top of #pandoc):
https://try.perm.pub/baseprinter/
Feel free to share feedback, ask questions, or ask for assistance.
Introducing <PubNote>: open-source XML tools for biomedical research metadata for OLSPub and PubMed
Today I'm announcing version 1.0.0 of <PubNote>, a suite of open-source XML tools for biomedical research metadata exposition to support publishers and researchers using XML files with OLSPub from @ZBMED and the US-based PubMed.
#olspub #pubmed #biomedicalresearch #lifesciences #openscience #scientificpublishing #xml #pdf #html #docx #jats #openstandards #opensource
Introduction: Reliable and lightweight conversions of Microsoft Word documents to HTML have long eluded library publishers. We demonstrate how off-the-shelf large language models (LLMs) like ChatGPT offer a lean pathway forward for generating JATS XML, which current platforms are equipped to render into user-friendly HTML publications. Methods: With careful prompting, ChatGPT can turn a plain text typescript into valid JATS. Leveraging a one- and few-shot approach for the <front> part of an XML file ensures that boilerplate data included in example(s) prompts the LLM to populate the correct data in its output. In <body> and <back/references> parts, zero-shot prompts with only the name and version of our JATS specification produce valid XML in ChatGPT 4.0. Results: One- and few-shot prompting proved effective in directing ChatGPT 3.5 to consistently encode discrete, sequential sections of article typescripts. In retesting with ChatGPT 4.0, zero-shot approaches demonstrated that <body> and <back/references> parts need only the JATS specification name and version to convert typescript into valid XML. The <front> parts still benefit from a one- and few-shot approach. Discussion: The primary bottleneck is token or source size limitations. Content must be broken up into separate sections for input and the output manually “stitched” together to form a complete XML file. Conclusion: LLMs may offer a solution for publishers without the resources to encode JATS files by other means. As LLMs increase in scale, we expect workflows for encoding research articles in JATS to become even more accurate, with fewer restrictions on capacity.
Peter Riley
NISOInfo
barefootliam
Castedo Ellerman
G. Ken Holman
v_i_o_l_a