We couldn’t be more excited to announce our short course and sponsorship at this summer’s Society for Imaging Science & Technology (IS&T) Archiving conference. We will be hosting a course covering the methods for sharing multi-terabyte image collections, in partnership with our service division Pixel Acuity, and the Smithsonian Institution. IS&T is an international professional organization founded in 1947, dedicated to the imaging community. IS&T supports professionals everywhere by keeping them informed of the latest innovations and technology in imaging through programming, publications, conferences, and more. You can learn more about IS&T and its history here.
At this year’s Archiving conference, you will have the opportunity to learn how to execute large data transfers through programming. In continuation of our ongoing artificial intelligence project with Pixel Acuity, RIVERai, and the Smithsonian Institution, we will present our findings on how to transfer several terabytes of images and metadata remotely. In the second portion of the course, you will have the opportunity to participate in a hands-on walk-through that will leave you with methods for facilitating and completing data transfers.
This course is great for any organization or institution looking to leverage technology for digitization projects that require massive data transfers. We recommend this course for IT professionals in your digitization departments who process large file deliveries. If you have any experience in Python and coding, this is the course for you! For those who do not have prior experience with Python, we suggest checking out our free DT Coding Series, Part 4: Getting Started with Python.
Read more about the course details and curriculum here.
The IS&T Archiving 2021 conference short courses will be held from June 8 to 18. Our course will take place on Thursday, June 17th from 10:00 AM ET to 3:00 PM ET. Learn more about the sign-up details and register here. We hope to see you there!
Contact us directly at firstname.lastname@example.org