Recognise high quality data and put it into practice: Our Academy courses on Quality will help you
Six different courses with lessons on visualisation, cleaning open data, and more
The final spotlight of our data.europa Academy themes series is put on ‘Quality’ courses designed to improve your open data usage and visualisation skills. Within six different courses, there are lessons that will teach you how to find data, assess its usefulness, and improve open data quality. Discover readings, webinars, and e-learnings that help you understand what makes quality open data.
Start your quality journey with our e-learning ‘What is open data?’ of the ‘Introducing open data’ course to get an understanding of the basics of open data. The course ‘Incorporating open data into your application’ offers a range of quality lessons that teach you how open data can be assessed on its quality and how to put this into practice. The core course of the quality domain is the ‘Improving open data and metadata quality’, which contains e-learnings on open data cleaning, choosing the right format, and understanding what makes quality open data. Another way to improve the quality and the interoperability of data is through data citation, which our lesson will show you how to do effectively.
If you want to get more creative with data, you can follow the ‘Using data art for science communication’ lesson, which is part of the ‘Including data in your communication’ course. Learn how to increase your visualisation quality by using input from your audience. For more advanced data visualisation skills, we have the non-standard data visualisation lesson for you and the ‘Playful machine learning’ video, which are part of the ‘Introducing data visualisation’ and ‘Inspiring through data visualisation’ courses respectfully.
As you can see, there is a lot of different material available to help you on your data quality journey. Keep an eye out for new content that is added regularly to our data.europa Academy, like webinars with real-life use cases from different organisations.
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