I would take the position that you do a review of what is going on currently in Ontario. There are probably ways to improve, but the framework that's being created for the collection of data is very comprehensive.
One critical piece involves the idea of disaggregated data. A lot of discussion has gone on around what that means. The truth is that disaggregated data, particularly around such things as race, is specific: somebody identifies as Indian or Jamaican. There is an importance to being able to collect data at that level of specificity, because it allows you then to measure what is actually happening.
We've talked about the experience of racialized people as not being homogeneous. Depending on the way you identify what happens, the impact upon you is very different. As a South Asian woman who identifies as heterosexual, the impact of some of the things going on is different for me from what it would be for my partner, who identifies differently.
I think we should look at the experience in Ontario and the framework that's being created. Organizations such as Colour of Poverty have also created very specific frameworks to collect disaggregated data. It has spent the past number of years training various municipalities and NGOs in the province of Ontario on how to do it.
I would echo what has been said, that we do not need to reinvent the wheel when talking about disaggregated data. Much work has been done already in Canada. We need to make sure, however, that the approach is not just about the collection of the data but also about the way it will be used, the way it will be reported, and what it is measuring.