DataStream Moves Towards Pan-Canadian Coverage with Great Lakes on Board

A woman in a plaid shirt and cap smiles while holding a small container in a kayak. She is on a lake with greenery and a partially cloudy blue sky in the background. The sun casts a warm glow on her and the scene. / Une femme portant une chemise à carreaux et une casquette sourit en tenant un petit contenant dans un kayak. Elle est sur un lac entouré de verdure avec un ciel bleu partiellement nuageux en arrière-plan. Le soleil projette une lumière chaude sur elle et la scène.

Alt text: A woman wearing a plaid shirt and cap is smiling while holding a small container seated in her kayak on the lake, surrounded by lush greenery under a partly cloudy sky; sunlight warmly illuminates both her and the natural scenery around.

Carolyn DuBois lives in the Toronto area. She loves her home, and has a soft spot for the Humber River. As the Executive Director of the Water Program for the Gordon Foundation, she’s been a key player in the expansion of DataStream, a platform for sharing open data on freshwater health. I spoke to Carolyn just as Great Lakes DataStream launched online. The Great Lakes represent the fourth hub on a platform that also includes the Mackenzie River Basin, Lake Winnipeg Basin, and Atlantic Canada. I could see and hear Carolyn’s happiness about this amazing accomplishment.

*(The following text from our conversation has been edited for length and clarity, but I have retained Carolyn’s voice throughout.)*

I started off asking Carolyn for some of the back story behind Great Lakes DataStream.

Carolyn: “It was about nine years ago we started building Mackenzie DataStream as a collaboration with the government of the Northwest Territories. In the beginning, we didn’t think we were going to do more than Mackenzie. But, as we started to see that communities across the whole country were having similar challenges around access to data, we saw that this model worked elsewhere.

I want to emphasize that there’s lots of great data work happening, but there was a need to pull together data in the Great Lakes in the way that DataStream does. This means pulling together water quality data from various sources. We got some support from Environment and Climate Change Canada and RBC Tech for Nature, and we came together last year with Lake Futures at the University of Waterloo, to bring together stakeholders who work with data in the Great Lakes region. From there, we started building the platform.”

Next, I wanted to hear what Carolyn enjoyed most about this process along the way.

Carolyn: “For me, it is always the people. It’s getting to know all of the amazing work that’s happening around water monitoring and research, and finding enthusiastic and passionate allies who really want to see data used. And ultimately, the point is to inform more collaborative decision making and raise the profile of community efforts. 

There are some great allies in the Great Lakes region – we LOVED working with Water Rangers! The collaboration came together so fast, and it’s been so cool getting to see some Water Rangers’ groups come online. We’ve facilitated a connection between our systems so that their groups can automatically contribute to Datastream.

It’s also been really fun to see data points come in from places on my own stomping ground. When I demo Datastream now, I can show data points from my childhood home close to the Humber River.”

And then I asked her about the challenges.

Carolyn: “I think there’s a challenge around data volume. There’s a lot to do and we’re still a small team. To try to sort through and tease apart how all of these initiatives connect – what are the right entry points – it’s complex. That has been a challenge and we will never be done! That’s kind of how Datastream works, and it’s fine, I like it.

We’re also releasing during COVID. That’s a really big change, and it has been hard. One of the things we’ve done in every other region is go meet with people and sit down with community groups. We did some Zoom convening, but it’s not the same. Right now, this online release is like a soft launch. Our plan is to have a public, in-person celebration and official launch next year, when we can do more around the convening side of things. DataStream is a platform and it brings data together, but we also bring PEOPLE together. When you convene like that, all kinds of other things happen that are far outside the data. We haven’t had the opportunity for some of that serendipity to happen in a virtual setting.”

I was curious to know if the pandemic has actually resulted in any positives.

Carolyn: “During COVID, people had more time to dedicate to cleaning house so to speak, and get their data organized and shared on DataStream. This was a negative in the sense that they weren’t out monitoring – especially the first summer – but people spent more time working on data. The other positive part is that we had to strengthen our own systems. Had we been travelling, that focussed work would have taken us longer.”

Finally, we chatted about where Great Lakes DataStream, and ALL the DataStream hubs, are heading in the future. 

Carolyn: “Somebody asked me if there is a lot more data to get in the Great Lakes…The answer is a huge YES! This is the tip of the iceberg, and that’s an open invitation – we want to hear from people. We’re dedicated to working with groups who have data, and we’re good at doing this kind of work. 

And stay tuned – we’re saying publicly that we are eyeing pan-Canadian expansion in the next few years. So DataStream will be available in the whole country!”

If you have data you want to share on Great Lakes DataStream or have questions about it, please contact datastream@gordonfn.org.

Alt Text: Map of Canada with data points marked in blue circles, indicating various regions and locations across the country. Each circle contains a number, ranging from 1 to 227, representing the quantity of data entries at each location.

Canadian French Translation: Carte du Canada avec des points de données marqués par des cercles bleus, indiquant diverses régions et localisations à travers le pays. Chaque cercle contient un numéro allant de 1 à 227, représentant la quantité dentrées de données à chaque emplacement.
Alt Text: Map of the Lake Winnipeg DataStream region with numbered blue circles indicating data points across Alberta, Saskatchewan, Manitoba, and Ontario. A search bar is located in the upper left, and navigation links are at the top. / Carte de la région du Lake Winnipeg DataStream avec des cercles bleus numérotés indiquant des points de données à travers lAlberta, la Saskatchewan, le Manitoba et lOntario. Une barre de recherche est située dans le coin supérieur gauche et des liens de navigation sont en haut.
Alt text: A map displaying data points across the Great Lakes region, including parts of Ontario, Quebec, and northeastern United States. Circles with numbers indicate concentrations of data in specific areas. The interface shows options to explore and log in. / Une carte affichant des points de données dans la région des Grands Lacs, comprenant des parties de lOntario, du Québec et du nord-est des États-Unis. Des cercles avec des chiffres indiquent les concentrations de données dans certaines zones. Linterface propose des options pour explorer et se connecter.
Alt Text: Map of Atlantic Canada with numbered location markers for data points. Areas include Newfoundland, Labrador, Prince Edward Island, Nova Scotia, and New Brunswick, with a search bar and navigation menu at the top.

/ Carte du Canada atlantique avec des marqueurs de localisation numérotés pour les points de données. Les zones comprennent Terre-Neuve, le Labrador, lÎle-du-Prince-Édouard, la Nouvelle-Écosse et le Nouveau-Brunswick, avec une barre de recherche et un menu de navigation en haut.
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