Improving open data and metadata quality

Open data is great, but unfortunately it might contain some errors that need fixing! This e-learning highlights why cleaning open data is a very important step to take. By the end of this lesson, you’ll have learned how to recognise common data errors and fixes. Let’s start cleaning data and unlock the true value of open data!

Want to learn the differences between different data formats? This e-learning dives into the different data formats and their corresponding properties. By the end of this lesson, you’ll have learned to distinguish the difference between data structures and data formats and know how to recognise specific data types.

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 and understand the standards and markers of high-quality open data. Also, you'll be introduced to a tool that helps you check the quality of your metadata. By the end of this lesson, you'll have the skills to judge the usability of open data and ensure the quality of your own data.

Discover how to unleash the full potential of open data with data.europa.eu – a platform specifically designed for data providers. This lesson will take you from open data 101 to the nitty-gritty technical, legal, and practical details, with real-life examples to inspire you. You’ll also learn about the different services offered by data.europa.eu, the official European open data. By the end of it, you'll understand how data.europa.eu can be the perfect solution for your open data needs and have the skills to start publishing and promoting open data for citizens to access.

Find standardised and harmonised literature on data and metadata quality. In this lesson you’ll discover our guidelines on data and metadata quality, together with interactive videos and readings that will teach you how to create high quality DCAT-AP datasets. Moreover, by the end of this session you’ll have a good understanding of the role and application of controlled vocabularies, as well as the ability to apply tools to assess the quality of your datasets.

How important is the data generated by citizens and what’s its impact in our overall economy of data? In this lesson you’ll explore how data is being made available in open data portals from different levels of public administrations. Through a combination of videos and readings you’ll get a better understanding of how citizen-generated data can be part of the open data offerings. Moreover, the lesson will cover how open data is governed, catalogued, and republished by public organizations.

A common language is necessary to ensure that open data is interoperable and can be used by organisations and institutions across Europe. This lesson introduces the language DCAT and DCAT-AP and highlights its importance in achieving interoperability across Europe by supporting data modelling and standardising data publication. Through webinars and readings, you’ll learn how to create metadata in accordance with DCAT and DCAT-AP and understand what metadata is and how it relates to the language. You’ll also gain insights on basic DCAT models and examples of DCAT entities, and recognise

Data citation is a way to improve the quality and interoperability of data and metadata. This lesson will show you how to effectively cite data. You'll get a practical guide with helpful annexes, including checklists and diagrams, recommendations, and best practices for data citation. By the end of this lesson, you'll have the tools you need to properly cite data.