If you look, for example, at the census data the U.S. collects, which is disaggregated way beyond gender to socio-economic group, ethnicity, and things like parental levels of education, that's a good model in terms of the data they collect.
The challenges exist to some extent between provincial and federal jurisdictions. We definitely have the ability to collect data on participation rates, but I think we also need data on other groups. We've had a lot of discussions around how to collect data on, for instance, people with disabilities, if the disability is not an issue that actually impacts their access to STEM.
For STEM programming, for things like Athena SWAN and SEA change, I would look to the models that the U.K. and the U.S. have used. There are so many different levels of data you could collect, but that would have to be thought through.