March 29, 2024
Updated May 12, 2025
17 minute read
A Comprehensive Guide to Becoming a Digital Archivist
A Digital Archivist is a professional responsible for managing, preserving, and providing access to records that are in digital formats. This includes materials that were "born digital," such as emails, websites, and databases, as well as items that have been converted to a digital format, like scanned documents or digitized photographs and audio-visual content. The core mission of a digital archivist is to ensure the long-term viability, authenticity, and accessibility of these digital assets for future users, despite technological obsolescence and media degradation.
The work of a digital archivist can be quite engaging. Imagine being a steward of history, ensuring that valuable digital information, from governmental records to personal correspondence, survives for generations to come. There's a thrill in tackling the technical challenges of preserving fragile digital objects and making them discoverable. Furthermore, digital archivists often collaborate with a diverse range of people, including IT professionals, researchers, and the public, making it a dynamic and socially interactive field.
Introduction to Digital Archivist Careers
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Find a path to becoming a Digital Archivist. Learn more at:
OpenCourser.com/career/mulbhd/digital
Reading list
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Offers a comprehensive overview of the field of text recognition, covering its history, current state, and future prospects. The chapters are written by leading researchers in the field and provide a comprehensive introduction to the topic for students and researchers alike.
Presents an overview of OCRopus and its innovative techniques that have resulted in pushing the limits of OCR technologies and achieving state-of-the-art performance in printed text recognition. It covers all important aspects of OCR, from preprocessing to post-processing, with an emphasis on advanced classification methods and language models.
Provides a practical guide to the design and implementation of OCR systems. The book covers a wide range of topics, from image acquisition to post-processing, and includes numerous case studies.
Provides a comprehensive overview of the fundamentals of optical character recognition. The book covers a wide range of topics, from the basics of image processing to the latest advances in deep learning.
Provides a practical guide to the use of OCR for the transcription of medieval and early modern manuscripts. The book covers a wide range of topics, from the basics of OCR to the latest advances in the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/mulbhd/digital