This video summarizes the core, important, inspirational points from the course.
- [Instructor] For most people, open data is still a new concept. That makes it both daunting and exciting. It's daunting because it has qualities that are difficult to grasp and a unique place in society that is still being defined. It's exciting because it's new and compelling, and it has the potential to inspire us, to make our communities better, and to drive a whole new era of creating innovative solutions. If you were new to open data when you took this course, there's a chance you felt one or both of these emotions. Even if you're not so new, I hope I was able to increase your interest and motivation in the emergent role of open data in government.
In this course, we covered the big picture. We discussed the fact that open data is making government more accessible. It's building trust through transparency. It's enabling community engagement. It's helping to solve problems and create incredible solutions for people everyday. An app to easily find neighborhood information like crime, school, and real estate reports. Apps to help after an earthquake. Apps for finding a job or understanding food safety, or air pollution. Open data is helping to shine a light on government corruption.
It's providing new insights into political decisions, and enabling citizens to have more of a voice. I introduced you to the power of open data and examples from across the world. We discussed the eight principles of open data: complete, primary, timely, accessible, machine-processable, non-discriminatory, non-proprietary, and license-free. I introduced the Open Government Partnership, a global initiative that aims to secure concrete commitments from governments to promote transparency, empower citizens, fight corruption, and harness new technologies to strengthen governance.
We spent time to understand the value of creating an open data policy, stressing the value of getting it in place prior to deploying the open data platform. Then we got into the details of operationalizing an open data program. We also discussed the different states of data, and I explored how an agency might think about monetizing an open data program. We took a little detour to explore data visualization and data storytelling. Multiple ways to add more value to open data by using techniques that make data more understandable, reducing complexity, and the time it takes to interpret it, and make it easier to remember.
Finally, we discussed how we might think about measuring the value of open data. My advice was not to focus on this aspect in the first months, and even one to two years of the program. Basic metrics are encouraged, but anything more sophisticated in the early days will just act as a distraction from the important work of marketing and engaging community in the open data initiative. Open data is here to stay. In the years ahead, it will be unusual for a government to not have an open data portal. People will demand it. Government will be made better by it.
I'm glad you took the time to take my open data course. You'll find a lot of good resources on the web to learn more. Thanks, and take care.
Dr. Jonathan Reichental introduces real-world use cases for open data, as well as the steps you need to take to develop and operationalize an open data program. He also explains how data scientists use open data to tell stories and drive data visualizations. Along the way, he provides numerous examples of open data in action: improving government, empowering citizens, creating opportunity, and solving public problems.
- Understanding what open data really is
- Current open data efforts around the globe
- Open data in action
- Designing an open data governance process, including policies
- Monetizing open data
- Storytelling with open data
- Selling the value of open data
- Measuring the value of open data