Paywall: "Preservation and Access for Born-digital Electronic Records: The Case for an Institutional Digital Content Format Registry"

https://doi.org/10.17723/0360-9081-83.2.397

Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

Paywall: " Copyright and Preservation of Born-digital Materials: Persistent Challenges and Selected Strategies"

https://doi.org/10.17723/0360-9081-83.2.238

Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

"Data Preparation for Artificial Intelligence in Medical Imaging: A Comprehensive Guide to Open-Access Platforms and Tools"

https://doi.org/10.1016/j.ejmp.2021.02.007

Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

UK: "Millions of Researchers Get Free Access to Digital Collections Through New Jisc and JSTOR Collaboration"

http://www.stm-publishing.com/millions-of-researchers-get-free-access-to-digital-collections-through-new-jisc-and-jstor-collaboration/

Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

WordPress Plugin for Publishing Location-Based Tours and Stories: "New NEH Grant for PlacePress"

https://tinyurl.com/y2266x3t

Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap

"Computational Intelligence to Aid Text File Format Identification"

Santhilata Kuppili Venkata and Alex Green have self-archived "Computational Intelligence to Aid Text File Format Identification."

Here's an excerpt:

One of the challenges faced in digital preservation is to identify the file types when the files can be opened with simple text editors and their extensions are unknown. The problem gets complicated when the file passes through the test of human readability, but would not make sense how to put to use! The Text File Format Identification (TFFI) project was initiated at The National Archives to identify file types from plain text file contents with the help of computing intelligence models. A methodology that takes help of AI and machine learning to automate the process was successfully tested and implemented on the test data. The prototype developed as a proof of concept has achieved up to 98.58% of accuracy in detecting five file formats.

Research Data Curation Bibliography, Version 10 | Digital Curation and Digital Preservation Works | Open Access Works | Digital Scholarship | Digital Scholarship Sitemap