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What is JSTOR Seeklight?

JSTOR Seeklight is a cutting-edge, AI-powered tool designed for the streamlined processing of collections, created under the umbrella of JSTOR Digital Stewardship Services. This innovative resource aids archivists and librarians in expediting the management of digital collections while upholding critical professional standards and preserving archival integrity. Seeklight employs sophisticated algorithms to automatically generate descriptive metadata that conforms to a Dublin Core-compatible schema and produces transcripts for various document types, whether typed, handwritten, or a combination of both. Furthermore, it organizes related files into unified archival items when appropriate, all facilitated through an intuitive cloud-based interface. Each piece of AI-generated metadata is paired with confidence scores, enabling users to assess, adjust, or discard the recommendations, and items are tagged with classifications like "AI-Generated," "Reviewed," or "Edited" to ensure transparency and human oversight. In addition, Seeklight provides project-level summaries that follow the conventional structure of finding aids, thereby enhancing the searchability and accessibility of collections and simplifying the research experience for users. This all-encompassing approach not only boosts efficiency but also strengthens the caliber of archival practices in our increasingly digital world, thereby supporting the evolving needs of the research community.

What is CuadraSTAR SKCA?

CuadraSTAR SKCA functions as a comprehensive archives management solution aimed at increasing the accessibility of rare historical documents for archivists. This innovative software equips users with the tools necessary to ensure the preservation of these significant materials, thus facilitating ongoing research and understanding. By leveraging CuadraSTAR SKCA, archivists can effectively grant public access to their collections, highlight their significance to prospective donors and sponsors, and aid in the safeguarding of various forms of multimedia content. Furthermore, it optimizes workflows, making it easier for archive personnel to manage and explore their collections. In essence, CuadraSTAR SKCA plays a crucial role in advancing archival methodologies, ensuring that valuable historical artifacts are preserved not just for today, but also for generations to come, thereby enriching our cultural heritage. Its application leads to a more organized and efficient archival environment, ultimately benefiting both archivists and the communities they serve.

Media

Media

Integrations Supported

JSTOR

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

JSTOR

Date Founded

1995

Company Location

United States

Company Website

info.jstor.org/human-centered-ai-for-stewardship/

Company Facts

Organization Name

Lucidea

Date Founded

1989

Company Location

Canada

Company Website

lucidea.com

Categories and Features

Library Management

Not specified

Categories and Features

Document Management

Collaboration Tools
Compliance Tracking
Document Archiving
Document Indexing
Document Retention
File Recovery
File Type Conversion
Offline Access
Optical Character Recognition

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