Sure. You pointed out some really important elements.
One is the importance of having really strong enabling policies behind the systems before they're developed. Look at who's collecting the data and how, what format it's already stored in, what systems it's already shared on and how those systems could potentially work with each other.
As you said, look at what would be required to scale up these systems that already work, including grading data based on whether it's accessible at all versus already openly accessible and then understanding where to prioritize efforts.
Another thing, which is something we've seen in our own work, is that as we work in different regions across Canada, people are sharing their data in very different ways across jurisdictions. Understanding the contextual nuance and being able to provide supports that are more place-based, depending on how people are sharing their data, whether that's in the Columbia Basin, Atlantic Canada or in Quebec would be important.
One final thing I would say is about looking at using different types of data standards, so that people who want to go and use that data.... It's not just a place for people to put the data they're collecting, but it's that it can be activated and used in things like modelling.
We've heard from Aquanty before. There are other people who really want to harness the data and make sense of it for watershed reporting and that type of thing, so make it as easy as possible for people who want to make the most of the information that's being collected and make the most of the investments that have been put into the monitoring in the first place.