We organized gender data gap challenges in health into a set of core problems. Each core problem reflects a subset of related issues central to the gender data gap challenge. From unconscious bias to data accessibility, these problems are barriers that prevent gendered data from being produced, used, and applied. Each of these core problems is an umbrella for several sub-issues, and many of these core problems intersect with each other. One core problem can also lead to the other problems. Below, we have provided the six core problems:
Social norms, patriarchal structures, and bias render gendered data invisible or ignored
Gender data is not collected consistently across domains
Lack of granularity of data across domains / data is not disaggregated
Accessibility of data is restricted due to privacy and sensitivity concerns
Data are under or mis-analyzed
Data is not applied to policy and practice, and accountability systems are not in place to ensure that data is appropriately used
Have we missed any core problems? Are there any other significant problems which hinder gendered data collection? What innovations are addressing these core problems?