Articles filed under Release Notes & Portal Updates

Imagine trying to bake a cake without ever tasting other cakes from other bakers. You’d figure out some things on your own, but you’d probably miss out on tricks, shortcuts, and flavours that others have already mastered.

Here at Toronto Open Data, we strive to treat the City’s Open Data Portal like a product, not a project; […]

Open Data is changing how our backend prepares downloadable files for users. We’re doing this for 2 reasons: Scalability and Shareability.

The Open Data Team, known for handling vast amounts of data, was surprised to find themselves analyzing their own dataset statistics. Upon reviewing the numbers and charts, they realized they had much to learn about their portal’s performance and impact.

In my first story on Open Data Toronto’s Data Quality Score (DQS), I shared why data quality matters to us and what the DQS is at a high-level; in this story, I walk through the steps of exactly how we created it so it is more detailed and a little more technical. Read on if that’s your jam.

Open data at the City of Toronto has been up and running for a decade this year, with an amazing and active community. However, this is not the case everywhere, and outside of our exceptional community, open data is still unknown by many. Why?

Traditionally, Open Data Toronto program performance has been tied to the number of datasets in the catalogue. Today, however, catalogue size is less relevant primarily because it fails to measure progress towards the program’s vision of enabling anyone, anywhere, to improve life in Toronto with open data. To solve this issue, we created a score to assess data quality and what it measures.