Search academy

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.

Interested in delving into the web and finding data hidden to the human eye? This e-learning is for everyone who wants to dig deeper into the web and find data that’s not immediately visible. You’ll learn how to locate and obtain hidden data, how to assess its benefits, how to evaluate its value for your project or application, and discover some of the amazing unseen online gems.

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 possible issues during the development of DCAT and DCAT-AP.

Do you want to learn about exceptional data visualisations and when to use them? In this lesson, you’ll discover reading materials that dive into how you can boost your data analysis and visualisation, go beyond basic bar graphs and pie charts, and learn how to use the JavaScript library D3.js. You’ll also find a webinar with Maarten Lambrechts that highlights how some non-standard charts and figures can help to communicate specific data.

Want to know how to assess the usefulness of your open data? This lesson is your key to learning how to assess the formats of the data and how to improve it into richer formats. The e-learning is all about how to use the 5 Stars of linked open data to assess the usefulness of your open data and how to recognise the number of stars in a dataset. By the end of this e-learning, you’ll have a deeper understanding of the formats that may be more useful for your apps.

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.

Curious to learn how to turn your live presentation into data visualisation? In this interactive webinar, Kirell Benziuses his audience to determine his presentation’s outcome and introduces Data Art. You’ll learn how data and your own audience can be used as a new communication medium to tell impactful stories on big data and artificial intelligence by combining scientific rigour with creativity.