This video discusses that there is rigor to operationalizing an open data program.
- [Instructor] When a government agency decides…they are convinced of the value of an open data portal,…when they have at least drafted an initial policy…that structures the purpose and overall rules,…it's time to get down to the important work…of designing its processes and operations.…We'll begin by taking a look at the general lifecycle,…from the identification of data to the final…publishing of the data on the open data portal.…In this video, I'm going to briefly introduce…a seven-step publishing process.…
This process is designed to ensure that the right data…gets the right vetting prior to publishing.…In step one, the team assigned to a evaluate requests…for new datasets to be published, receives the request.…There are many ways that a request could come in.…It could simply be an email from a government staff member.…It could be a response to a solicitation,…say to a subset of the community.…It might even be just the first group of datasets…that the open data program team believes…will be a good first step.…
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