Learn:How to upload data to Veridian via an S3 bucket News:Winona State University launches new collection on Veridian
Hello friend of Veridian,
Due to the nature of our work, clients will often need to transfer large numbers of files to our team, so this month we go through the steps to upload your collection data to Veridian via S3, a secure object storage service offered by Amazon Web Services (AWS). Plus, earlier this year we welcomed another university into the Veridian collection family, with the launch of Winona State University’s new collection.
How to upload data to Veridian via an S3 bucket
Whether it's to upload source images to be digitised, or data to be ingested into a Veridian collection such as METS/ALTO files or born-digital PDFs, we frequently need to facilitate file transfers between clients and our Veridian team. While there are several ways that clients like to transfer data to us, including Google Drive, Dropbox or other file transfer tools, we’ve found the best way to transfer data is via S3. S3 is a secure object storage service offered by Amazon Web Services (AWS), thus an S3 bucket is a cloud storage space within S3. In this article, we explain the steps to successfully upload data to an S3 bucket via DragonDisk (an S3 compatible client) on Windows.
Winona State University launches new collection on Veridian
The Darrell W. Krueger Library team at Winona State University got in touch
with us in late December 2021 to start the process of moving their existing collection to the Veridian platform. They were looking for responsive support throughout the project build and ongoing after launch. We believe it is important to provide this for all of our collections.
Once underway, we worked through the process of converting their collection from their old platform Ignite (previously known as Olive Software) to Veridian, completing the project within a relatively quick turnaround time.
Since launching, the librarian team at Winona
State have been able to utilise the crowdsourced user text correction features to polish and improve the collection, including taking advantage of the article headline and body text correction options.
