Community trust in social impact organizations who do disaggregated data collection can be shattered if it is done badly, especially with subjects who are already overpoliced and surveilled.
Canada lags behind the US on disaggregated data — but these Canadian organizations are catching up. Here’s what they’ve learned.
Because of systemic oppression and marginalization, some populations are more likely to experience challenges like homelessness, food insecurity, and other issues social purpose organizations work on. Without data on who exactly experiences what challenges, how can organizations develop and deliver effective programs, services and advocacy?
Disaggregated data makes the intersectional nature of the COVID-19 pandemic painfully obvious, but many social purpose organizations don’t have access to critical information – or don’t know what to do with it.
Explainer: What is disaggregated data, and why don’t social purpose organizations have access to it?
Over the past couple of years, there has been an increased demand for disaggregated data in Canada in order to identify and address social and racial inequities faced by vulnerable populations. But few understand what the term really means, how it works and why Canada is investing in collecting such data now.