feat: slides links for 14 talks

Author: phette23

_posts/2026-03-02-a-workflow-for-automating-content-detection-in-dissertation-pdfs.md

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+slides: https://zenodo.org/records/18829954
 layout: presentation
 type: talk
 categories: talks

_posts/2026-03-02-ai-in-moderation-assessing-ai-generated-alt-text-for-digital-collections.md

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+slides: https://zenodo.org/records/18829424
 layout: presentation
 type: talk
 categories: talks

_posts/2026-03-02-digital-preservation-from-scratch.md

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+slides: https://zenodo.org/records/18829444
 layout: presentation
 type: talk
 categories: talks

_posts/2026-03-02-librarian-as-institutional-metadata-steward-case-studies-in-research-information-management-systems-administration.md

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+slides: https://zenodo.org/records/18835942
 layout: presentation
 type: talk
 categories: talks
@@ -16,6 +17,6 @@ title: "Librarian as institutional metadata steward: Case studies in Research In
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 Research Information Management (RIM) systems have become core infrastructure in universities, integrating data about research, teaching, grants, service, and people into a single platform. Institutions adopt these systems for faculty activity reporting, analytics, public profiles, repository deposit, and other data-driven workflows. While many platforms offer automation features, effective administration requires technical expertise in data wrangling, harvesting, scripting, and reporting.
 
-Librarians skilled in programming, systems thinking, and project management are uniquely suited to this work. Combining these abilities with knowledge of metadata, privacy, and equitable service, librarians act as stewards of institutional metadata. Drawing on five years of experience managing a successful, library-led implementation, this talk will use case studies to illustrate the librarian as data engineer: applying code and data skills to administer, automate, and extend RIM Systems. 
+Librarians skilled in programming, systems thinking, and project management are uniquely suited to this work. Combining these abilities with knowledge of metadata, privacy, and equitable service, librarians act as stewards of institutional metadata. Drawing on five years of experience managing a successful, library-led implementation, this talk will use case studies to illustrate the librarian as data engineer: applying code and data skills to administer, automate, and extend RIM Systems.
 
 Examples include scripting API ingestion pipelines for data migrations (degrees, appointments, legacy systems); building crosswalks to automate local feeds; integrating with the IR for metadata harvesting and deposit; and developing workflows in R and Visual Studio to connect directly to SQL databases for reconciliation and reporting. I’ll also describe partnerships with campus offices and how a small staff sustains this enterprise-level service, highlighting RIM administration as a growing domain of technical librarianship.

_posts/2026-03-02-new-and-old-fangled-html-elements-what-is-accessible-really.md

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+slides: https://zenodo.org/records/18828866
 layout: presentation
 type: talk
 categories: talks

_posts/2026-03-02-tales-from-the-online-archives-of-california-replatforming.md

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+slides: https://zenodo.org/records/18830117
 layout: presentation
 type: talk
 categories: talks
@@ -14,8 +15,8 @@ speakers:
 speaker-text: "Chad Nelson"
 title: "Tales from the Online Archives of California Replatforming"
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-What happens when you try to migrate a homegrown system with 20 years of technical debt, with hundreds of contributors, and millions of monthly visits,  in under seven months? Find out in the spine-tingling “Tales from the Online Archive of California Replatforming". 
+What happens when you try to migrate a homegrown system with 20 years of technical debt, with hundreds of contributors, and millions of monthly visits,  in under seven months? Find out in the spine-tingling “Tales from the Online Archive of California Replatforming".
 
-You'll gasp at the foreshadowing of “It shouldn’t be too hard”. You'll work up a sweat as we recount “Sprinting to the MVP”. You’ll be terrified by the “Attack of the Bots” and “EAD lets you do WHAT?!?” But fear is only temporary; hope springs anew in “The Developer Strikes Back” and “Managing Great Expectations”. 
+You'll gasp at the foreshadowing of “It shouldn’t be too hard”. You'll work up a sweat as we recount “Sprinting to the MVP”. You’ll be terrified by the “Attack of the Bots” and “EAD lets you do WHAT?!?” But fear is only temporary; hope springs anew in “The Developer Strikes Back” and “Managing Great Expectations”.
 
-Don’t just take our word for it, critics are also saying: “The way they used Airflow to coordinate jobs is interesting.” and “Arclight . . . at that scale . . . inconceivable!” 
+Don’t just take our word for it, critics are also saying: “The way they used Airflow to coordinate jobs is interesting.” and “Arclight . . . at that scale . . . inconceivable!”

_posts/2026-03-02-the-redirect-researching-data-privacy-and-vendor-practices-in-library-systems.md

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+slides: https://zenodo.org/records/18826627
 layout: presentation
 type: talk
 categories: talks

_posts/2026-03-03-cybersecurity-preparedness-for-libraries-a-2026-action-plan.md

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+slides: https://zenodo.org/records/18835764
 layout: presentation
 type: talk
 categories: talks

_posts/2026-03-03-from-beta-to-rc-the-marriott-reparative-metadata-assessment-tool-marmat.md

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+slides: https://zenodo.org/records/18828921
 layout: presentation
 type: talk
 categories: talks
@@ -16,6 +17,6 @@ speakers:
 speaker-text: "Aiden de Boer, Rachel Wittmann,  Kaylee Alexander"
 title: "From Beta to RC: The Marriott Reparative Metadata Assessment Tool (MaRMAT)"
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-The Marriott Reparative Metadata Assessment Tool (MaRMAT) is an open-source, Python-based application developed by University of Utah librarians for auditing metadata for potentially harmful terminology. Built with the goal of replacing tedious and bias-prone keyword searching methods, MaRMAT conducts bulk, multifield queries on schema-agnostic, tabular metadata against pre-curated or user-supplied custom lexicons. Producing a report flagging potentially problematic terminology by metadata element, term category, and original context, MaRMAT aids metadata practitioners in the review and remediation process. 
+The Marriott Reparative Metadata Assessment Tool (MaRMAT) is an open-source, Python-based application developed by University of Utah librarians for auditing metadata for potentially harmful terminology. Built with the goal of replacing tedious and bias-prone keyword searching methods, MaRMAT conducts bulk, multifield queries on schema-agnostic, tabular metadata against pre-curated or user-supplied custom lexicons. Producing a report flagging potentially problematic terminology by metadata element, term category, and original context, MaRMAT aids metadata practitioners in the review and remediation process.
 
-Introduced in 2024, MaRMAT Beta was a rudimentary, proof-of-concept application developed in collaboration with AI tools; however, user responses demonstrated a clear need among cultural heritage metadata practitioners for a tool of this kind. Using internal seed funding, a student programmer was hired to refactor the application, increase operating system usability, enhance design and built-in features based on accessibility standards and user feedback, and implement multithreading for increased performance speeds. This talk will focus on MaRMAT-RC’s codebase and core functionality. Detailing the transition from AI-assisted beta programming to a fully human-coded application, we will highlight key challenges encountered during development, outline the team’s decision-making strategies for improving program architecture, and future directions for the project. 
+Introduced in 2024, MaRMAT Beta was a rudimentary, proof-of-concept application developed in collaboration with AI tools; however, user responses demonstrated a clear need among cultural heritage metadata practitioners for a tool of this kind. Using internal seed funding, a student programmer was hired to refactor the application, increase operating system usability, enhance design and built-in features based on accessibility standards and user feedback, and implement multithreading for increased performance speeds. This talk will focus on MaRMAT-RC’s codebase and core functionality. Detailing the transition from AI-assisted beta programming to a fully human-coded application, we will highlight key challenges encountered during development, outline the team’s decision-making strategies for improving program architecture, and future directions for the project.

_posts/2026-03-03-modularity-doing-it-all-isn-t-a-good-thing.md

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+slides: https://zenodo.org/records/18824690
 layout: presentation
 type: talk
 categories: talks