DigitalKoans postings will resume on 12/9/2025.
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| Digital Curation and Digital Preservation Works |
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Month: November 2025
Digitization Coordinator at University of North Dakota
The Digitization Specialist undertakes digitization projects for Chester Fritz Library and its patrons, producing high-quality digital versions of analog documents and materials. They will manage the day-to-day tasks necessary to accomplish these projects, including gathering the materials to digitize, planning and executing the digitization process, training and supervising student workers performing digitization tasks, tracking progress and performing quality control checks on the resulting files.
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Technology Needs of Small and Medium Journal Publishers
The. . . report details the results of a 2025 global survey of individuals working with independent scholarly publishing organizations with fewer than 1,000 employees about their current journal technology stacks and anticipated future needs.
The survey findings span:
- Publisher platform and workflow management insights
- Research integrity priorities and sentiments toward the rise of AI
- Vendor collaboration and support needs
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Digital Media Asset Manager at American Museum of Natural History
The Asset Manager works closely with media production teams to optimize production workflows, maintain general media catalogs and create and manage project-specific collections. They ensure that internal teams can access and deploy visual assets, often with quick turnaround times. They serve as a resource for teams across the Museum to help staff locate the right visual content and understand how to use it, as well as to raise awareness of what is available in the catalog or to identify gaps.
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“Big Ten Open Books: An Interview with Kate McCready (BTAA) and Charles Watkinson (UM)”
Authors Alliance has had a longstanding interest in helping authors see their older books reinvigorated with new life by making them available online for free on an open access basis. One of the most exciting initiatives working on OA for backlist books is the Big Ten Open Books program. This post is based on a set of questions we posed to Kate McCready (Program Director for Open Publishing, Center for Library Programs at the Big Ten Academic Alliance) and Charles Watkinson (Director of University of Michigan Press and Associate University Librarian for Publishing at the University of Michigan) about what the program is and how it works.
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Online Resources Librarian at Drexel University
Reporting to the Manager of Library Information and Technology Services, the Librarian manages the Acquisitions program which provides access to the Libraries’ owned and licensed resources. This program is responsible for the ordering and processing of electronic resources for the Drexel University Libraries, including some tools and services to manage them. The Librarian also oversees acquisitions for physical content for the Libraries, which comprises less than 2% of the Libraries’ information resources budget.
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“The Imminent AI Bubble Crash (and Why It Won’t Matter in the Long Run)”
The genuine, lasting AI revolution will most likely happen after the shakeout—when the companies that survive (or those founded after the crash) develop sustainable models instead of depending on speculative capital injections. . . . We must accept two truths:
- There is an AI bubble.
- In the long term, AI will transform society.
Hedge fund icon Ray Dalio puts it succinctly: “There’s a major new technology that certainly will change the world and be successful, but some people are confusing that with the investments being successful.”
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Serials & Electronic Resources Manager at Tarleton State University
The Serials & Electronic Resources Manager, under the supervision of the Associate Director of Access & Collection Services, oversees the Serials & E-Resources division, including but not limited to the purchase, receipt, processing, and access of library materials.
| Digital Library Jobs | Since generative artificial intelligence (AI) tools such as OpenAI’s ChatGPT became widely available, researchers have used them in the writing process. The consensus of the academic publishing community is that such usage must be declared in the published article. Academ-AI documents examples of suspected undeclared AI usage in the academic literature, discernible primarily due to the appearance in research papers of idiosyncratic verbiage characteristic of large language model (LLM)-based chatbots. This analysis of the first 768 examples collected reveals that the problem is widespread, penetrating the journals, conference proceedings, and textbooks of highly respected publishers. Undeclared AI seems to appear in journals with higher citation metrics and higher article processing charges (APCs), precisely those outlets that should theoretically have the resources and expertise to avoid such oversights. An extremely small minority of cases are corrected post publication, and the corrections are often insufficient to rectify the problem. The 768 examples analyzed here likely represent a small fraction of the undeclared AI present in the academic literature, much of which may be undetectable. Publishers must enforce their policies against undeclared AI usage in cases that are detectable; this is the best defense currently available to the academic publishing community against the proliferation of undisclosed AI. This is an updated version of a previous preprint. https://arxiv.org/abs/2411.15218
| Artificial Intelligence | | Digital Library Jobs |
Key features include: | Artificial Intelligence | Reporting to the Associate Dean for Distinctive Collections and Digital Strategies, this tenure-line faculty librarian position provides strategic leadership and administration of the Preservation, Conservation, and Digitization department, including the University’s state-of-the-art Conservation Centre. This position will build on existing efforts to ensure the long-term accessibility of collections in both physical and digital formats. | Digital Library Jobs | The grant will support the project Mapping U.S. Diamond Open Access Journals, which will conduct the first national mapping of Diamond Open Access (OA) publishing in the United States. Diamond OA journals are peer-reviewed publications that are free for both authors and readers and operate without commercial profit motives. The project will illuminate the decentralized U.S. landscape of Diamond OA journals, surface sector-wide challenges, and provide actionable recommendations in support of sustainable, non-commercial scholarly publishing. By identifying infrastructure, investment, and policy needs, the project aims to produce actionable recommendations to guide institutions, funders, and coalitions in creating sustainable, field-informed investments that strengthen openness and resilience in scholarly communication. | Artificial Intelligence | This is how Gemini 3 describes itself when asked for a compact summary of its features: | Artificial Intelligence |
[The article] examines the use of a handwritten transcription tool to generate full-text transcripts for a wide-ranging digitization project focused on slavery and the lives of enslaved people in the Colonial and Antebellum periods of the United States. It then reviews the challenges, rewards, and implications of incorporating tools like this from a project management perspective.
https://doi.org/10.1080/1941126X.2025.2580900
| Artificial Intelligence | Efforts over the past three decades have produced web archives containing billions of webpage snapshots and petabytes of data. The End of Term Web Archive alone contains, among other file types, millions of PDFs produced by the federal government. While preservation with web archives has been successful, significant challenges for access and discoverability remain. For example, current affordances for browsing the End of Term PDFs are limited to downloading and browsing individual PDFs, as well as performing basic keyword search across them. In this paper, we introduce GovScape, a public search system that supports multimodal searches across 10,015,993 federal government PDFs from the 2020 End of Term crawl (70,958,487 total PDF pages) – to our knowledge, all renderable PDFs in the 2020 crawl that are 50 pages or under. GovScape supports four primary forms of search over these 10 million PDFs: in addition to providing (1) filter conditions over metadata facets including domain and crawl date and (2) exact text search against the PDF text, we provide (3) semantic text search and (4) visual search against the PDFs across individual pages, enabling users to structure queries such as “redacted documents” or “pie charts.” We detail the constituent components of GovScape, including the search affordances, embedding pipeline, system architecture, and open source codebase. Significantly, the total estimated compute cost for GovScape’s pre-processing pipeline for 10 million PDFs was approximately $1,500, equivalent to 47,000 PDF pages per dollar spent on compute, demonstrating the potential for immediate scalability. Accordingly, we outline steps that we have already begun pursuing toward multimodal search at the 100+ million PDF scale. GovScape can be found at this https URL. https://arxiv.org/abs/2511.11010
| Artificial Intelligence | [Google Scholar Labs] analyzes your question to identify key topics, aspects and relationships, then searches all of them on Scholar. For example, let’s say you’re looking to find out how caffeine consumption might affect short-term memory. Scholar Labs could look for papers that cover the relationships between caffeine intake, short-term memory retention and age-specific cognitive studies to gather the most relevant papers. After evaluating the results, it identifies papers that answer your overall research question, explaining how each paper addresses it. Google Scholar Labs is now available to a limited number of logged-in users. | Artificial Intelligence | | Digital Library Jobs | Publicly launched in 2004, the Google Books project has scanned tens of millions of items in partnership with libraries around the world. As part of this project, Google created the Google Return Interface (GRIN). Through this platform, libraries can access their scanned collections, the associated metadata, and the ongoing OCR and metadata improvements that become available as Google reprocesses these collections using new technologies. When downloading the Harvard Library Google Books collection from GRIN to develop the Institutional Books dataset, we encountered several challenges related to rate-limiting and atomized metadata within the GRIN platform. To overcome these challenges and help other libraries make more robust use of their Google Books collections, this technical report introduces the initial release of GRIN Transfer. This open-source and production-ready Python pipeline allows partner libraries to efficiently retrieve their Google Books collections from GRIN. This report also introduces an updated version of our Institutional Books 1.0 pipeline, initially used to analyze, augment, and assemble the Institutional Books 1.0 dataset. We have revised this pipeline for compatibility with the output format of GRIN Transfer. A library could pair these two tools to create an end-to-end processing pipeline for their Google Books collection to retrieve, structure, and enhance data available from GRIN. This report gives an overview of how GRIN Transfer was designed to optimize for reliability and usability in different environments, as well as guidance on configuration for various use cases. https://arxiv.org/abs/2511.11447
| Artificial Intelligence | https://www.datacenterwatch.org/q22025
| Artificial Intelligence |
Readers value convenient, user-centered experiences for e-books and publishers seek robust safeguards against unauthorized copying. But high-profile incidents—such as remote deletions of purchased titles—have eroded reader trust and revealed the fragility of digital ownership. Rapidly evolving technologies, including artificial intelligence, add new layers of complexity for copyright protection and user freedom, sometimes driving consumers to unauthorized alternatives. Therefore, this paper examines various strategies—from traditional digital locks to more reader-friendly solutions like watermarks, blockchain applications, and non-restrictive licensing.
https://doi.org/10.1007/s12109-025-10048-2
| Artificial Intelligence | You will work closely with academic staff, researchers, and professional services to provide expert advice on research support, copyright, rights retention, and open access. You will also lead the development of researcher skills training, manage the institutional repository (WRaP), and contribute to the strategic direction of research services. https://jobs.worcester.ac.uk/Vacancy.aspx?ref=ILS2510
| Digital Library Jobs | According to McKinsey, $7 trillion in data center investment will be required by 2030 to keep up with projected demand. Google, Meta, Microsoft and Amazon have together spent $112 billion on capital expenditures in the past three months alone. . . . Now, the tech giants are turning to financing maneuvers that may add to the risk. To obtain the capital they need, hyperscalers have leveraged a growing list of complex debt-financing options, including corporate debt, securitization markets, private financing and off-balance-sheet vehicles. That shift is fueling speculation that A.I. investments are turning into a game of musical chairs whose financial instruments are reminiscent of the 2008 financial crisis. . . . While Meta, Microsoft, Amazon and Google previously relied on their own cash flow to invest in data centers, more recently they’ve turned to loans. To diversify their debt, they’re repackaging much of it as asset-backed securities (A.B.S.). About $13.3 billion in A.B.S. backed by data centers has been issued across 27 transactions this year, a 55 percent increase over 2024. . . . Are murky financial instruments spreading the risk of the A.I. spending frenzy? According to Menlo Ventures, only 3 percent of consumers pay for A.I.-related services, amounting to about $12 billion per year. If hyperscalers are unable to generate enough profit to offset the costs related to capital expenditures, systemic risk could enter credit markets. | Artificial Intelligence | This position is responsible for developing, coordinating, and promoting scholarly communication services and initiatives. This position focuses on advancing open access, managing institutional repositories, and supporting faculty and researchers in publishing and preserving their work. | Digital Library Jobs | This report shares ongoing metadata remediation work on The University of Michigan Library’s Deep Blue Repositories, or the “Deep Blues,” primarily focused on Deep Blue Documents. Deep Blue Documents is a repository that has been accepting research outputs since 2006. Currently, it contains about 160,000 deposits of items from 1863 to the present, with hundreds of thousands of downloads per month. Deep Blue Data launched in 2016, and as of Fall 2025 has approximately 2,000 deposits. | Artificial Intelligence |
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Author Posted on Categories Electronic Resources Jobs
“Academ-AI: Documenting the Undisclosed Use of Generative Artificial Intelligence in Academic Publishing”
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| Digital Scholarship |Digital Archivist at UK Parliament
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| Digital Scholarship |“Elsevier Launches Leapspace: An AI-Assisted Workspace to Accelerate Research and Discovery”
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| Digital Scholarship |Head of Preservation, Conservation, and Digitization at Pennsylvania State University
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| Digital Scholarship |“Lyrasis, Big Ten Academic Alliance Libraries, and California Digital Library Receive Grant to Advance Diamond Open Access in the United States”
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| Digital Scholarship |Gemini 3 on Gemini 3
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| Digital Scholarship |“Sustainable Speed: Project Management and Productive Capacity in Projects Using AI”
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| Digital Scholarship |“GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs”
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| Digital Scholarship |“We’re Introducing Google Scholar Labs to Answer Your Research Questions”
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| Digital Scholarship |Digital Preservation Project Officer at Newcastle University
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| Digital Scholarship |“GRIN Transfer: A Production-Ready Tool for Libraries to Retrieve Digital Copies from Google Books”
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| Digital Scholarship |AI Watch — “Q2 2025 UPDATE: 125% Surge in Data Center Opposition”
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| Digital Scholarship |“The Future of e-Book Copyright Control: On Finding a Technological Balance Between Authorized Use of e-Books, Reader’s Experience, and Privacy”
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| Digital Scholarship |Research Librarian at University of Worcester
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| Digital Scholarship |Paywall: AI Watch —“Debt Has Entered the A.I. Boom”
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| Digital Scholarship |Scholarly Communications Librarian at University of North Alabama
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| Digital Scholarship |Reparative Description and Metadata Remediation Planning at the University of Michigan Deep Blue Institutional Repositories
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