How does data quality impact the Sustainable Development Goals?
Data quality is crucial for the SDGs as it ensures accurate measurement and tracking of progress towards these goals.
Can you give examples of how poor data quality affects SDG implementation?
Sure! Poor data quality can lead to misallocation of resources, ineffective policies, and ultimately hinder progress on goals like poverty reduction.
What are some strategies to improve data quality for SDGs?
Strategies include standardizing data collection methods, investing in technology, and enhancing training for data collectors.
How can technology help in ensuring data quality?
Technology can automate data collection, provide real-time analytics, and improve data validation processes, enhancing overall quality.
What role do stakeholders play in maintaining data quality?
Stakeholders, including governments, NGOs, and communities, collaborate to ensure data is collected, shared, and used effectively.
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