Data Quality Toolkit 2024: Difference between revisions

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= Overview  =
= Overview  =


This page was created to aggregate common data quality issues and potential solutions to those issues in collection management systems and CMS-agnostic tools. Data quality issues are grouped into data categories, and tutorials are provided for (1) identifying and (2) fixing the issues.
This page was created to aggregate common data quality issues and potential solutions to those issues in collection management systems and CMS-agnostic tools. Data quality issues are grouped into data categories, and links to resources for identifying and fixing the issues are provided.


This page was inspired by Bob Mesibov's [https://www.datafix.com.au/cookbook/ Data Cleaner's Cookbook].
This page was inspired by Bob Mesibov's [https://www.datafix.com.au/cookbook/ Data Cleaner's Cookbook].
If you already know which tool or CMS you are using to clean your data, you can visit a tool- and CMS-specific toolkit: [[Arctos Data Quality Toolkit|Arctos]], [[Excel Data Quality Toolkit|Excel]], [[OpenRefine Data Quality Toolkit|OpenRefine]], [[Specify Data Quality Toolkit|Specify]], [[Symbiota Data Quality Toolkit|Symbiota]], [[TaxonWorks Data Quality Toolkit|TaxonWorks]].


== Catalog Numbers and Other Identifiers==
== Catalog Numbers and Other Identifiers==