Field_Families
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Field Families: Compare fields of the same type. For example, street addresses can take a variety of forms and standards. Use your profiling tool to identify fields that have similar content. Create a comprehensive list of related dataset fields.Internal Standardization: For each family of fields, pick a uniform standard to be shared by all the fields, specify the reference data (if appropriate) and list the stakeholders who will be affected by the change. As appropriate, obtain the necessary buy-in and then use your data cleaning tool to implement the new standard. Make note of any root causes of obstacles to standardization.
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Fill in the tables. Columns B-G are part of the "Field Families" task.
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Columns I-K are part of the "Internal Standardization" task.
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First list entities that appear in more than one database, such as "street address"
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For each entity, list all datasets in which it appears and specify the field names, reference data and definitions used in each dataset.
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Field familyDatabase/dataset
field name(s)
reference data, if it exists
DefinitionNotes
Uniform Standard
Reference Data
Stakeholders
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Contact the author at sfsinger@campaignscientific.com, @sfsinger, 267-414-3119. Guide available for download at bit.ly/DQGuide. Submit feedback at bit.ly/SingleStepsFeedback
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