One of the main obstacles to accessing inclusive data sets for research by women in technology is the prevalence of data collection and analysis practices that do not adequately consider gender and diversity. Efforts to overcome these challenges include advocating for more rigorous standards in data science practices and promoting the development of data sets that are both inclusive and comprehensive.
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