What are the best practices for ensuring data quality in SDG collection?

What are the best practices for ensuring data quality in SDG collection?

To ensure data quality in SDG collection, it's essential to implement standardized data collection methods, conduct regular audits, and provide training for data collectors.

How can technology help improve data quality?

Technology can enhance data quality through automated data validation, real-time monitoring, and using advanced analytics to identify discrepancies.

What role do stakeholders play in maintaining data quality?

Stakeholders are crucial as they provide insights, resources, and support for data collection efforts, ensuring accountability and transparency.

Can you give examples of common data quality issues?

Common data quality issues include missing data, duplicates, inconsistencies, and inaccuracies, which can significantly impact SDG reporting.

What frameworks exist for assessing data quality?

Frameworks like the Data Quality Assessment Framework (DQAF) and the Data Management Body of Knowledge (DMBOK) provide guidelines for assessing data quality.