Guidelines for ensuring quality in open data and metadata

Being able to assess the usability of open data is a crucial skill in the data collection phase. In this lesson, you'll learn how to evaluate the quality of open data, understand the standards and markers of high-quality open data, and discover guidelines on data and metadata quality. You'll be introduced to a tool that helps you check the quality of your metadata, and through interactive videos and readings, you'll learn how to create high-quality DCAT-AP datasets. By the end of this lesson, you'll have the skills to judge the usability of open data, ensure the quality of your own data, understand the role and application of controlled vocabularies, and apply tools to assess the quality of your datasets.