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

Key Takeaways

  • 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


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