Sometimes Open Datasets have left us with more questions than answers. In this presentation, Karen discusses the types of data anomalies that organizations can run into when they use external data, the wrong datasets for the right reasons, and the right datasets for the wrong reasons. Karen uses real-life examples of her own data to show the impact of bad data decisions.

These errors in design, oversights, and old-school, traditional practices can impact the success of your projects, even if the open data was perfect at the time it was published.