Data Management: Data Quality Control

This presentation on ‘Data Quality Control’ was recorded on 2022, February 14th as Session 1 of Module 2 of the Data Management course delivered by Statistics for Sustainable Development, and covers common data quality issues. This session was presented by Ciara McHugh. This course was supported by the Global Collaboration for Resilient Food Systems.
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The other sessions in this module are here:
• Data Management in Pra...
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• Gestión de datos: Cont...
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• Technical guidance related to collection and processing of data and information.
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Contents:
00:00 - Intro
01:02 - Data Quality Control Workflow
01:48 - Common Data Issues
02:44 - Completeness of Data
05:09 - Location Data
06:55 - Duplicates
07:31 - Incorrect Observations
08:05 - Data Types
08:43 - Missing Values
09:07 - Different Levels of Data
09:57 - Units of Measurement
11:01 - Categorical Data Text Formatting
12:29 - Contradicting Values
13:15 - Documentating Data Quality

[@quanhong1804]

thank you very much, what a useful lesson

[@Stats4SD]

glad we could help!

[@sandeepj6726]

Good job. Thanks