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Related Questions
- What strategies can data curators use to collect and incorporate diverse data sources to improve representativeness?
- How can data curators balance the trade-off between data quality and data quantity to ensure diversity and representativeness?
- What methods can be employed to detect and mitigate biases in the data collection process to ensure diversity and representativeness?
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- How can data curators prioritize and select the most relevant and representative data points from a large dataset?
- What are some best practices for data curation that can help balance diversity and representativeness with limited data availability?
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