This video explains why public policy is required and examples of achieving it.
- [Narrator] This chapter is focused on running…an open data program in government.…We're going to begin by discussing the importance of…establishing policy.…With policy we're referring to a set of guidelines…around agreements that are made by some authority.…With open data, that authority is most likely going…to be the government agency.…For many, establishing a policy, particularly in a…government context is often a good first step.…This is because it helps to define the scope and intent…of the work.…
Put another way, it's a great way to gain agreement by a…wide range of stakeholders on what and why…of the open data program.…There are many option on where and how to codify…an open data policy.…I'll discuss briefly four types of policy formulation.…The first is simply a set of agreed guidelines.…For example, a guideline might state that whenever…a new data set is requested by a member of the public,…the agency agrees to publish it within 20 days of the…request.…
Assuming there's no restrictions.…Guidelines are really good to have, but have the limitation…
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