Wrap Up

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In this module we have explored what open data is, how to implement it in your research and how it can be used.

Open data is defined as structured data that is machine-readable, freely shared, used, and built on without restrictions.
The FAIR principles are a set of guidelines to make data findable, accessible, interoperable, and reusable
Not all data can or should be open, what type of data and privacy are important considerations
Open data is valuable for research and data reproducibility, public service transformation, innovation, impact, and research discovery
One approach to implementing open data is to plan your data management, describe your open data, and preserve and share your open data.
Open data is used in open government to improve transparency
In teaching and learning open data can help students develop critical thinking, statistical and data literacy, and global citizenship