This video discusses that decisions must be made on how the currency of data will be maintained.
- [Instructor] Now that we've briefly discussed…the process for publishing data…on a government open data portal,…let's talk about how often we might…update that data, and the different options…for keeping data current.…There are several reasons why we are…concerned with how current data is.…First, a mantra of data as an asset…is that the more current it is,…the more value it has.…For example, if you are working on housing planning…for a community, it's more useful…to know what the current population is…for an area than what the population was three years ago.…
Another reason we are concerned with the topic…of how current data is, is that the process…of keeping data current has a cost to it.…That cost also depends on the frequency of updates.…If we just uploaded a data set at a point in time…and didn't change it, it would not incur…any effort on the part of the agency.…If it was agreed to update each year,…that would take some effort,…but it wouldn't be that difficult.…However, if we agreed to update a certain data set…
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