Data Management Lab: Session 3 Data Review Checklist

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Data Management Lab: Session 3 Data Review Checklist

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Data Management Lab: Session 3 Data Review Checklist

  1. 1. IUPUI University Library Center for Digital Scholarship Data Management Lab: Spring 2014 Quality Assurance & Control: Data Review Checklist Adapted from: Curating and Managing Research Data for Re-Use Workshop, ICPSR Summer Program, 2013 Below are several questions you may want to include in your data quality standards checklist: o Does each variable have a variable label? o Do all categorical variables have value labels? o Does the data output match the codebook? Are values and/or labels listed in one but not the other? o Are all codes in the data valid (documented) according to the data collection instrument or codebook? o Are the values reasonable? o For example, date variables contain dates, gender variables don’t have ten categories. o Does the spelling look ok? o Are missing codes defined as missing? o Are there variables that may pose a confidentiality concern? o Are there weight variables? If so, are they well documented? o Are there duplicate records? Heather Coates, 2013

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