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EMu @ NMAI Showcase. October 14, 2010. Why?. Critical need for data cleanup/standardization Ease in searching and data entry Web-presentable Global Replace and Import tools require specialized knowledge Simple search (borrowed from CMC)
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EMu @ NMAI Showcase October 14, 2010
Why? • Critical need for data cleanup/standardization • Ease in searching and data entry • Web-presentable • Global Replace and Import tools require specialized knowledge • Simple search (borrowed from CMC) • Re-ID tools (borrowed from the various Natural History Museums)
Simple Search • Shell fields • Use Registry entry “Also Search” to search against existing data fields.
Success of tools • For Object Re-identification only: • At the beginning of FY 2010 , 48,000 records have been cleaned up (15% of 280,000 records) • By the end of FY 2010, 101,000 records cleaned up or 36%. • Already 2 weeks into FY 2011, 10,000 records have been cleaned up.
As part of the Collections Search project, we determined that there needs to be Public-friendly data. We created special “metadata” tabs to do the following things: 1) gather in one tab all important data fields for a Web record 2) include Web-only fields here so as not to confuse users who are used to the Museum-oriented data fields. Fields that are grayed out are the same ones appeared on the other tabs. They show up on this tab as references. Any corrections must be done in the original fields. Fields that are white are editable by users with permissions. Fields that have the green double-arrow button require manual refresh or upon saving, populate the fields with data. Ex: Web Materials has data concatenated from specific materials in the Materials field on the Description 1 tab.
“Site for Web” reverses the order of geographical location because that’s how most people tend to read geographical data. But for internal use, we do the opposite because that’s how we sort the data. This allows us to associate collection items for Web purposes, i.e. photographed together. Allow those users who are directly involved in Web data preparation to leave notes for each other. Since many users don’t see this tab, this internal dialogue won’t confuse them. Data review is a 2-step process (mostly): one person reviews + enters/edits data; the other then does a final review and mark publish on Web. This process is fully attributed so as to be transparent (person name + date are automated by system so no falsification possible).