Best practice guides on digitizing archives, tips for enhancing collection discovery and user engagement, insights into industry trends, and case studies from organisations leading the way. Whether you're just starting your digitisation project or looking to optimise your digital collections, there’s something here for every stage.
July 16, 2025

Uploading Data to Veridian via Cyberduck: A Step-by-Step Guide

Learn how to upload data to an S3 bucket via DragonDisk (a S3 compatible client) on Windows.
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June 10, 2025

Ingesting Born-Digital PDFs into Veridian: Cost-Effective & Efficient

Organisations that hold content in born-digital PDF format can ingest this directly into a Veridian collection—without needing to convert them into METS/ALTO.
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March 31, 2025

Digitally Scanning Newspapers: Key Considerations and Best Practices

Learn the essentials of digitally scanning newspapers, from choosing the right vendor to best practices for image quality and preservation.
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January 30, 2025

Choosing the Right Digital Object for Newspaper Digitization Projects

Learn about the typical “digital objects” produced by most modern newspaper digitization projects.
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January 15, 2025

Long-term Preservation Strategies for Digitized Newspaper Collections

Long-term preservation of digital objects is a challenging problem, and is especially so for newspaper digitization projects. Here are some of our
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January 15, 2025

Identifying and Fixing Hidden ALTO Data Errors in Newspaper Archives

In our experience there are a number of types of “hidden errors” that occur with newspaper data batches. These errors can’t be detected by automated QA
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January 10, 2025

Metadata Standards: What is METS/ALTO?

METS and ALTO are XML standards maintained by the Library of Congress.
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December 20, 2024

Enhance Newspaper Digitization with METS/ALTO Standards

Many benefits come with conforming to recognized standards like METS and ALTO, as used by existing, well-established projects.
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December 13, 2024

Pros and Cons of Digital Newspaper Article Segmentation

When digitizing newspapers it is possible to identify, segment, and categorize individual newspaper articles as they appear on the page. We explore the pros
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November 30, 2024

Converting Digitized Newspapers to METS/ALTO: Is It Possible?

If your digitized newspapers are to be used and shared across platforms and survive into the future it is important to choose the most appropriate standards
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November 15, 2024

How Veridian Uses BagIt in the Data Preservation Process

Learn about BagIt, the hierarchical file packaging format, used to help maintain data integrity when digital content is stored on disks or transferred over networks.
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October 31, 2024

Veridian’s Multi-Layered Backup System Ensures Maximum Data Protection

Learn how Veridian protects digital collections with a robust, multi-layered backup and recovery system designed for maximum data safety, integrity, and rapid
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May 01, 2024

Does Veridian Work with Digitized Content Beyond Newspapers?

Discover how Veridian software supports digitized collections beyond newspapers, enhancing online access and engagement for diverse archival materials.
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September 26, 2022

How to Upload Data to Veridian Using DragonDisk

Learn how to upload data to an S3 bucket via DragonDisk (a S3 compatible client) on Windows.
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April 26, 2022

Historic Archive Digitisation with Veridian

Veridian’s digitisation service hits 1M pages in a year—preserving history with best practice standards for long-term access and sustainability.
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August 19, 2021

Optimizing Digital Collections: Veridian's Data Conversion Options

This article explains the three options available for data conversion using the Veridian service. We created this model so that digital collection owners can
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October 12, 2020

Digitizing History: Success of New Zealand's Papers Past Initiative

The National Library of New Zealand was looking for key features like full-text search, article-level access, and search term highlighting. Veridian was the solution.
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October 12, 2020

Optimizing Newspaper Digitization Inside Papers Past’s Data Management

An overview of each step in their data management process, including their automated and manual data acceptance testing, and how and when they reprocess data.
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