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CALASYS Metadata Guideline Version 2 (2021)
The CALA Academic Resource & Repository System (CALASYS)’ metadata guidelines. It's created to provide guidance in describing resources to be deposited into CALASYS.
Position: 41 (585 views)
CALASYS Advanced Training
Advanced training document on how to use and manage the CALA Academic Resource & Repository System (CALASYS), including how to batch load records, create and edit collections and exhibits. It's created by the CALASYS Committee.
Position: 368 (430 views)
CALASYS Self-Contribution Training
Training on how to self-contribute to the Chinese American Librarians Association Academic Resource & Repository System (CALASYS). It's conducted by the CALASYS Committee. CALA President Ray Pun delivered the opening message for the training…
Position: 15 (732 views)
CALASYS Self-Contribution Training (2021)
Training document on how to self-contribute to the CALA Academic Resource & Repository System (CALASYS). It's created by the CALASYS Committee.
Position: 31 (609 views)
CALASYS Training for Self-Submitters and Chapter Liaisons
Training on how to contribute to the Chinese American Librarians Association Academic Resource & Repository System (CALASYS). It is designed for self-submitters and chapter liaisons, and covers both basic and advanced information. The training is…
Position: 1036 (87 views)
Can we? Should we? Considerations When Selecting a Research Data Repository
In Spring of 2022, members of Technology and Resource Management at UHCL Libraries set out to assess internal data management policies. After surveying the data management landscape in academic libraries, we have created a set of considerations for…
Position: 400 (419 views)
Canton Through Western Eyes: Resources & Wood’s Sketches of China
This book talk was organized by the Guangzhou Book Club and it was aimed to introduce the newly translated and published book《洋记者的广州城记》(English title: Sketches of China: with Illustrations from Original Drawings). The original English book was…
Position: 605 (328 views)
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Automated processing of massive audio/video content using FFmpeg
Coding and using FFmpeg created for automated processing AV materials.