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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.

This tool introduces the SPARQL Knowledge Graph. The wiki page connected to the SPARQL Knowledge Graph has tutorials and video lectures, specifications, endpoints, explanations of SPARQL clauses and functions, syntax, query examples and many other resources.

Learning objectives:
- Using the SPARQL Knowledge Graph

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!

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.