Discover the data.europa academy: Seventh course, ‘Improving open
data and metadata quality’
The seventh course of the restructured data.europa academy
[https://data.europa.eu/en/news-events/news/dataeuropa-academy-discover-our-11-open-data-courses]
called ‘Improving open data and metadata quality
[https://data.europa.eu/en/academy/improving-open-data-and-metadata-quality]’
will dive into providing and collecting high-quality quality data and
metadata. Through webinars, reading materials and e-learnings, you
will learn how to unlock the benefits of open data, understand the
role of data.europa.eu [https://data.europa.eu/en], follow guidelines
and navigate the opportunities and challenges of citizen-generated
data. 

To fully leverage the value of open data, it is important to clean the
data initially. In the first lesson ‘Cleaning open data
[https://data.europa.eu/elearning/en/module11/#/id/co-01]’ you will
learn how to recognize data errors and apply fixes to clean your data.
Following that, the different data formats will be explained in the
lesson ‘Choosing the right format of open data
[https://data.europa.eu/elearning/en/module9/#/id/co-01]’. The third
lesson ‘What makes quality open data
[https://data.europa.eu/en/academy/what-makes-quality-open-data]’
introduces guidelines and a tool to evaluate the quality of open data
and understand the standards and markers of high-quality open data.
The fourth lesson ‘Unlocking the benefits of open data with
data.europa.eu
[https://data.europa.eu/en/academy/unlocking-benefits-open-data-dataeuropaeu]’
delves into the role of data.europa.eu [https://data.europa.eu/en] to
publish and promote open data.  

The fifth lesson ‘Guidelines on data and metadata quality
[https://data.europa.eu/en/academy/guidelines-data-and-metadata-quality]’
focuses on creating high-quality DCAT-AP datasets and presents our
guidelines and tools. You will explore how citizen generated data is
being made available in open data portals in the sixth lesson
‘Opportunities and challenges of citizen generated data
[https://data.europa.eu/en/academy/opportunities-and-challenges-citizen-generated-data]’.
A common language is necessary to ensure that open data is
interoperable and can be used by organisations and institutions across
Europe. Therefore, the lesson ‘DCAT and DCAT-AP: Achieving
interoperability through data modelling and standardisation
[https://data.europa.eu/en/academy/dcat-and-dcat-ap-achieving-interoperability-through-data-modelling-and-standardisation]’
introduces the language DCAT and DCAT-AP. The last lesson ‘Data
citation: A guide to best practice
[https://data.europa.eu/en/academy/data-citation-guide-best-practice]’
equips you with  the tools to properly cite data and improve quality
and interoperability.  

Do you want to learn how you can improve your open data and metadata
quality? Join this seventh data.europa academy course
[https://data.europa.eu/en/academy/improving-open-data-and-metadata-quality]! 

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Publication Date/Time
2023-07-03T08:00:00+00:00
Learn how to unlock the benefits of open data by looking into the
quality of open data and metadata