With staff working from home, many institutions are prioritizing data quality projects. Originally presented at Collective Imagination 2012, this presentation has been updated to reflect changes to The Museum System (TMS), and the availability of new low-cost or free tools. It provides insights into how to prevent, clean, and monitor data quality, with techniques for power users, system administrators, and SQL experts alike.
Presented as a webinar for Gallery Systems. 16 June 2020.
Watch the recorded presentation here:
Get the slide deck here:
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Data Cleaner is now at https://datacleaner.github.io/