This presentation on ‘Data Quality Assurance’ was recorded on 2022, February 15th as Session 2 of Module 2 of the Data Management course delivered by Statistics for Sustainable Development, and covers what data quality assurance is and why it is important, gives some specific tips for this in ODK, and goes over practices to ensure data quality. This session was presented by Ciara McHugh. This course was supported by the Global Collaboration for Resilient Food Systems.
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Statistics for Sustainable Development is a not-for-profit, social enterprise that provides:
• Statistical and data management expertise
• Support on research designs and methodology
• Technical guidance related to collection and processing of data and information.
As a team of technicians and statisticians, we believe that our best work is done when supporting organisations and communities across the world that share our vision of a more sustainable future for all.
The videos on our channel aim to support students, researchers, and academics, and are accompanied by the free resources on our website.
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Contents:
00:00 - What is Data Quality Assurance and Why is it Needed?
01:04 - What Will be Covered in This Video?
01:26 - Primary Data
01:53 - Defining Standards
03:06 - Using Pre-designed Indicators
03:50 - Tips for Ensuring Data Quality for ODK
04:24 - Using Constraints in ODK
05:50 - Using Required Fields in ODK
06:21 - Using Select Instead of Text in ODK
07:21 - Using Hints in ODK
07:56 - Using Acknowledgements in ODK
08:43 - Using Relevant in ODK
09:35 - Using Metadata in ODK
10:40 - Language of the Data Collection Tool
11:27 - Paper Questionnaires
12:15 - Testing Data Collection Tools
13:04 - Training
14:10 - Data Quality Checks
14:38 - Follow Up Interviews
15:22 - Secondary Data
