Data-driven research in women's rights must address the potential for bias in data collection and analysis processes. This includes biases in sample selection, which can lead to underrepresentation or misrepresentation of certain groups of women. Researchers must strive for inclusivity, representing diverse backgrounds, cultures, and experiences, to avoid skewed conclusions that could misinform policies and initiatives.
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