Achieving data inclusivity, particularly to support the research efforts of women in technology, presents numerous challenges. These range from the technical, such as how data is collected and analyzed, to the cultural, including overcoming biases in what is considered important data to collect. To address these challenges, a multifaceted approach that encompasses policy changes, community engagement, and technological innovation is necessary. Engaging women in the design and decision-making processes of data collection and analysis can also play a crucial role in making data more inclusive.
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