Browse Items (6 total)
- Tags: Self-Contribution
Developing CALASYS in Celebration of CALA 50th
Tags: CALA, CALA 50th Anniversary, CALASYS, Chinese American Librarians Association, Collection development, Digital Collections, Digital repositories, Institutional Repository, Member engagement, Member participation, Metadata, Omeka, Self-Contribution
Position: 610 (182 views)
CALASYS Advanced Training
Tags: Batch import, CALA, CALASYS, Cataloging, Chinese American Librarians Association, Contribution, Digital Collections, Digital repositories, Dublin Core metadata, Institutional Repository, Meta-data, Omeka, Self-Contribution, Standards compliance, Subjects
Position: 482 (254 views)
CALASYS Self-Contribution Training
Tags: CALA, CALASYS, Cataloging, Chinese American Librarians Association, Contribution, Digital Collections, Digital repositories, Dublin Core metadata, Institutional Repository, Meta-data, Omeka, Self-Contribution, Standards compliance, Subjects
Position: 17 (464 views)
Opening CALASYS to All Members
Tags: CALA, CALASYS, Chinese American Librarians Association, Collection development, Digital Collections, Digital repositories, Institutional Repository, Member engagement, Member participation, Meta-data, Omeka, Self-Contribution
Position: 6 (591 views)
CALASYS Self-Contribution Training (2021)
Tags: CALA, CALASYS, Cataloging, Chinese American Librarians Association, Contribution, Digital Collections, Digital repositories, Dublin Core metadata, Institutional Repository, Meta-data, Omeka, Self-Contribution, Standards compliance, Subjects
Position: 41 (423 views)
CALASYS Metadata Guideline Version 2 (2021)
Tags: CALA, CALASYS, Cataloging, Chinese American Librarians Association, Contribution, Digital repositories, Dublin Core metadata, Institutional Repository, Meta-data, Metadata Guidelines, Omeka, Self-Contribution, Standards compliance
Position: 61 (410 views)
Featured Item
New Directions in Information Organization-A Linked Data Model with BIBFRAME
Discussion on BibFrame, a new direction for organization of information, a linked data model.