Search academy

In this three-part training series on data visualisation you will learn how to turn complex data into clear, ethical, and engaging visuals. Led by data visualisation expert and professor Alberto Cairo, each 90-minute episode combines theory, hands-on practice, and curated materials to help you design visualisations that communicate insights effectively.

What is the European data strategy, and how is it shaping the future of data governance in Europe? In this lesson, you will explore the key objectives behind the strategy, its role in creating a single market for data, and the policies and initiatives driving data innovation and collaboration across Europe.

How can you safeguard open data from cybersecurity threats? In this lesson, you will explore the fundamentals of open data and the cybersecurity challenges associated with it. You'll learn about the major risks such as data tampering, privacy violations, and other vulnerabilities that can arise when sharing and using open data.

How can you access open data and high-value datasets? In this lessons you will find out how to access open data, including high-value datasets (i.e. data that has the potential to generate important societal and economic benefits when reused). This lesson is provides a step-by-step access guide to open data and high-value datasets. Through the reading material, you’ll also gain insights in what your rights are and how to access public sector data that cannot be made openly available.

Artificial intelligence (AI) is already part of our lives – it is not science fiction. From using a virtual personal assistant to organise our working day, to travelling in a self-driving vehicle, to our phones suggesting songs or restaurants that we might like, AI is a reality. The way we approach AI will define the world we live in.

This lesson aims to shed light on how artificial intelligence can bring opportunities to our lives, and covers topics ranging from who owns the rights to AI-generated work to the laws that govern it. It explores the link between artificial intelligence and fundamental rights, such as data protection and privacy. Lastly, it provides insights into the AI Act legislation and its impact on the open data ecosystem.

What are the risks, legal concerns, and constraints surrounding ArtificiaI Intelligence (AI) usage? Which opportunities does AI create for citizens and businesses? How is the EU regulating AI? This lesson is your key to shed light on how artificial intelligence is shaping the current open data ecosystems. Through webinars and reading materials, you’ll gain insights into how Artificial Intelligence is changing the data landscape, how the EU aims to regulate AIs, and what it means for you. By the end of this lesson, you’ll have the knowledge and tools needed to understand the AI Act. 

Nowadays, data has become a central component of government publications. But how can this data be presented in a way that allows others to easily access, reuse and reference it?
Formatted as an extendable checklist, this guide compiles tips, examples, resources and visual aids into a handy toolbox which will help you with all of the data-related aspects of your publication: writing about data, creating data visualisations, and preparing and publishing data.

Who is the guide for?
Anyone involved in the process of producing and publishing data and public sector information: researchers, policymakers, communications specialists, data experts, IT specialists, publication coordinators, designers, contractors…

What kinds of publication does this guide target?
Any type of published content that contains or references data: reports, studies and books, assessments, briefs and summaries, press releases, leaflets and brochures… – both in print and online. The data could be a primary source (data produced and analysed specifically for this publication) or a secondary source (third-party data that is used as supporting material).

What are the Data Governance Act requirements for national single information points and the European Register for Protected Data held by the Public Sector? How do you approach harvesting, technical harvesting requirements and use the supported and preferred interfaces? This lesson is your key to understanding the various requirements to setting up a national single information point. Through webinars and reading materials, you’ll gain insights into the steps to take, the indicative roadmap, and where to find the European Register for Protected Data held by the Public Sector, integrated into data.europa.eu. By the end of this lesson, you’ll have the knowledge and tools needed in preparation for the DGA implementation in September 2023. 

The name 'European Register for Protected Data held by the Public Sector (ERPD)' replaced the previous name 'European Single Access Point (ESAP)' (referred to in Article 8 (4) of the Data Governance Act) as of September 2023. This decision has been taken to avoid any confusion with another upcoming EU legislation.