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data.europa academy

Academy pillars

Welcome to the data.europa academy! Here you can find all available courses, which are structured along four themes: policy, impact, technology, and quality. These four themes cover topics ranging from the open data basics to new trends and challenges in the open data landscape. You can search for and filter courses based on your interests.

The curriculum is constantly updated with new courses and new learning material based on research and best practices. Tell us what you think and what you miss via the feedback button below.

Happy learning!

35 resultados encontrados
Format
Theme
Skip results of view data.europa academy
  • Format
    Webinar

    This webinar series is designed to present the three reports of the data.europa.eu research project ´Use Case Observatory`.

    The Use Case Observatory contributes to the portal´s broader goal to measure the impact of open data across Europe by monitoring 30 re-use cases of open data over three years. 

    Through the publications of three analytical reports – one in 2022, one in 2024, and the last one in 2025 - the Observatory tries to answer the following questions:

    • What is the economic, governmental, social, and environmental impact of open data for the 30 specific re-use cases collected?
    • How important is it to keep track of such re-use cases to understand and foster value creation through open data in Europe?
    • What else can be learned from the analysed re-use cases to improve open data measurement and implementation across Europe?
    Última actualización: 07/10/2022
  • Format
    Webinar

    Learning objectives:

    • Learn about global and European approaches to measure the impact of open data.
    • Gain insights into the open data impact assessments of European countries.
    • For countries less advanced in impact assessment: use the above insights as best practices to start measuring open data impact.
    • For countries more advanced in impact assessment: gain inspiration and insights for improving current methodological practices.
    Última actualización: 05/10/2022
  • Format
    Training

    Learning objectives:

    • Gain an overview of SPARQL in the context of EU data and beyond
    • Learn more about specific SPARQL syntax, endpoints, and editors
    • Build up on previous understanding of Knowledge Graphs
    Última actualización: 03/10/2022
  • Format
    Training

    This training package is designed to help data providers to open up their data and to make it available via data.europa.eu. This set of webinars is divided into several parts, going from the basics of open data, through essential technical, legal and practical information, to inspirational use cases. 

    Última actualización: 28/09/2022
  • Data visualisation
    Impact
    Technology
    Format
    Webinar
    Reading
    Videos

    Learning objectives:

    • Understand the most innovative techniques and technologies in the field of data visualisation
    • Learn about examples and best practices in presenting data in an attractive, efficient and ethical way
    • Understand how to apply the methods data visualisation techniques for various purposes
    Última actualización: 13/07/2022
  • Format
    Training
    Reading

    Learning objectives 

    • Learn about the digital transformation from a traditional printed publication into a modern interactive tool 

    • Learn about the visualisation possibilities of statistics in an attractive format 

    • Gain advice how to change a traditional publication format using good project management skills 

    Última actualización: 14/06/2022
  • Format
    Seminario web
    Lectura

    Learning objectives:

    • Understand how public administrations are measuring the demand of data re-users in the public sector
    • Learn about examples on public data resources value creation by public institutions
    • Understand how countries involve potential re-users and promote re-use within governments at all levels
    Última actualización: 23/05/2022
  • Format
    Lectura
    Herramientas
    Vídeos

    Learning objectives:

    • Understand what metadata is and how it relates to DCAT.
    • Learn about the history and objectives of DCAT and DCAT-AP.
    • Understand the basic model of DCAT.
    • Learn about examples of DCAT entities.
    • Understand the differences between DCAT, DCAT-AP and DCAT-AP-OP.
    • Know some of the issues addressed during development of DCAT and DCAT-AP.

     

    Última actualización: 18/05/2022
  • Format
    Formación
    Lectura
    Vídeos

    Learning objectives:

    • Learn how to create high-quality and expressive DCAT-AP datasets.
    • Understand the role of controlled vocabularies and how to apply them effectively.
    • Being able to apply tools to assess the quality of your datasets (e.g. SHACL validation).
    Última actualización: 16/05/2022