JSTOR Seeklight
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North Carolina State University has joined JSTOR’s Digital Stewardship Services charter program, partnering to advance AI-assisted tools like JSTOR Seeklight and accelerate the processing and discovery of unique digital archival collections.
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JSTOR welcomes RMIT University as the first Australian institution to join the Tier 3 charter program of JSTOR Digital Stewardship Services. RMIT will pilot JSTOR Seeklight to explore AI-supported workflows, beginning with an architecture slide collection of more than 2,000 images.
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At this year’s Charleston Conference, JSTOR hosted two lunch events. Highlights included updates on Path to Open, Publisher Collections, and JSTOR Seeklight’s growing role in AI-assisted metadata generation.
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Over 30 institutions worldwide have joined the JSTOR Digital Stewardship Services Tier 3 charter program, forming a values-led community shaping the future of AI-assisted collections processing through collaboration, innovation, and shared expertise.
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Roger Schonfeld introduces the concept of a collections processing tool—a new, community-driven system that reimagines how special collections are described and discovered. With JSTOR Seeklight, this approach uses digitization and intelligent recognition to make archives more accessible and impactful.
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Discover how Rollins College and the University of Puget Sound modernized digital stewardship with JSTOR, replacing fragmented legacy systems with a unified, mission-driven platform that streamlines workflows, enhances teaching, and reenergizes engagement across campus.
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Accelerate impact with JSTOR Seeklight—purpose-built AI that helps archivists and librarians process, describe, and publish collections responsibly, keeping human expertise at the center.
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JSTOR Seeklight now generates transcripts for typed and handwritten items, making every word searchable and accessible while keeping editors in control. Available now for Tier 3 participants.
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This summer, charter participants in JSTOR Digital Stewardship Services shared their early enthusiasm for JSTOR Seeklight, our AI-powered tool for accelerating collection processing. We share their feedback, ideas, and a glimpse of what’s ahead.
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JSTOR Digital Stewardship Services does more than store your collections. Explore content management that drives discovery, use, and impact.
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Bias is inherent to description, but description can and should be revised over time. We’re evolving JSTOR Seeklight’s safeguards against bias and harmful content to reflect our values, our engineering ethos, and our commitment to transparency.
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How JSTOR Seeklight brings together archival expertise, AI, and community insight—reflections on winning the Coker Award and building values-driven tools.
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Senior Product Manager Ann Connolly shares how JSTOR Digital Stewardship Services addresses key collection management issues with a unique integration approach.
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Senior Product Manager Syed Amaanullah shares how JSTOR Seeklight blends technology and human expertise to deliver a purpose-built AI application for archives.
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At ACRL 2025, JSTOR marked its 30th anniversary while unveiling JSTOR Digital Stewardship Services—built to support libraries in managing and preserving digital collections using AI-assisted metadata creation and community-driven collaboration.
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JSTOR Digital Stewardship Services is designed to help libraries and archives scale preservation through a seamless, mission-aligned workflow that combines digital asset management, AI-assisted metadata creation, and long-term preservation support.
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An archivist explores how AI can help surface hidden histories, improve metadata, and support digital stewardship while emphasizing the need for human expertise in shaping archival narratives.
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Join JSTOR’s community of institutions advancing responsible, AI-assisted digital stewardship. Help shape how technology enhances discovery, access, and care for digital collections.
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Discover how archivists and librarians shaped JSTOR Seeklight, an AI-powered technology that streamlines collections processing and enhances digital stewardship.
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At the Charleston Conference 2024, JSTOR presented its vision for managing and preserving digital collections into the future. “Not Just Another AI Session” highlighted how cutting-edge tools—including JSTOR’s digital collection processing prototype and interactive research tool (beta)—can transform access to archival materials while staying true to JSTOR’s nonprofit mission.
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ITHAKA innovates with Project Odyssey using generative AI to help libraries process digital collections efficiently by automating metadata creation, addressing bottlenecks, and reducing backlog.
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At JSTOR, our mission is to improve access to knowledge and education for people around the world. We’re excited to share several new initiatives leveraging cutting-edge technology to make scholarly materials more accessible, interactive, and engaging for our users. Here’s a detailed look at the latest advancements we recently shared at ALA 2024 in San…
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