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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 IBM Storage Archive?

IBM offers Storage Archive software, which is an integral part of its extensive storage offerings, boasting a user-friendly graphical interface that streamlines the administration of data housed in tape drives and libraries by employing the Linear Tape File System (LTFS) standard for efficient reading, writing, and exchanging of metadata on tape cartridges. This innovative solution enables users to seamlessly and directly access their data stored on tape, eliminating the need for additional tape management tools or software to retrieve necessary information. In addition, Storage Archive presents three specific software editions designed to manage digital files formatted in LTFS: Single Drive Edition, Library Edition, and Enterprise Edition, each tailored to meet a range of organizational needs and sizes. By offering these versatile options, users are empowered to select the most appropriate solution that aligns with their archival data management requirements, ensuring optimal efficiency and ease of use. This adaptability makes it a valuable asset for organizations looking to enhance their data storage practices.

Media

Media

Integrations Supported

JSTOR

Integrations Supported

JSTOR

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/storage-archive

Categories and Features

Library Management

Acquisition Management
Barcode Scanning
Barcoding / RFID
Catalog Management
Church Libraries
Circulation Management
Fee Collection
Inventory Management
Law Libraries
OPAC
Patron Management
Periodicals Management
Private Libraries
Public Libraries
Reserve Shelf Management
School Libraries
Search
Self Check-in / Check-Out
Serials Management

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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