Thanks for your patience during our recent outage at scalar.usc.edu. While Scalar content is loading normally now, saving is still slow, and Scalar's 'additional metadata' features have been disabled, which may interfere with features like timelines and maps that depend on metadata. This also means that saving a page or media item will remove its additional metadata. If this occurs, you can use the 'All versions' link at the bottom of the page to restore the earlier version. We are continuing to troubleshoot, and will provide further updates as needed. Note that this only affects Scalar projects at scalar.usc.edu, and not those hosted elsewhere.
12021-04-14T16:36:26-07:00Tang Li94607ee88639079982d0344d02ff8ecdf7b6dc463903649plain10720492022-12-15T18:01:17-08:00Tang Li94607ee88639079982d0344d02ff8ecdf7b6dc46We selected OpenRefine and Excel pivot tables as the primary tools for cleaning, standardizing, and analyzing the person, organization, and subject metadata extracted from over 1,500 items in USC's Republican China collections. Excel charts, Adobe InDesign, and Tableau Public were the three tools used to create all visualizations in this section. We primarily followed the Library of Congress Authorities to normalize, standardize, and classify all metadata.