data.europa академия | data.europa.eu
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data.europa академия

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!

30 открити резултати
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Skip results of view data.europa академия
  • Format
    Четене
    Инструменти
    Видеоматериали

    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.

     

    Последна промяна: 18/05/2022
  • Format
    Обучение
    Четене
    Видеоматериали

    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).
    Последна промяна: 16/05/2022
  • Understanding public data demand in the public sector
    Политика
    Въздействие
    Format
    Уебинар
    Четене

    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
    Последна промяна: 12/05/2022
  • Format
    Webinar

    Learning objectives:

    • Understanding the role that data.europa.eu has or could be playing in different data spaces
    • Gather insight on how the content and capabilities of data.europa.eu could help tackle specific demands in data spaces in at least three sectors
    Последна промяна: 10/05/2022
  • Format
    Уебинар
    Четене
    Видеоматериали

    Learning objectives:

    • Understand whether and how citizen-generated data may be made available as part of the open data offering
    • Understand how citizen-generated data can be governed, catalogued and (re-)published by public administrations
    Последна промяна: 28/04/2022
  • Real-time Data
    Technology
    Format
    Webinar
    Reading
    Videos

    Learning objectives:

    • Understand what real-time geospatial data is
    • Learn about relevant interoperability standards
    • Discuss the future needs for dealing with geospatial real-time data within data.europa.eu
    Последна промяна: 07/04/2022
  • Format
    Уебинар
    Четене
    Инструменти
    Видеоматериали

    Learning objectives:

    • Understand the importance of monitoring open data re-use
    • Get a basic understanding of different approaches of monitoring open data re-use
    • Learn how other countries monitor open data re-use
    Последна промяна: 01/04/2022
  • Geospatial data and API delivery
    Въздействие
    Technology
    Format
    Обучение
    Четене
    Видеоматериали

    Learning objectives:

    • Understand how geoinformation can be found in data.europa.eu
    • Understand how metadata from national geoportals is harvested to data.europa.eu
    • Learn what kind of geoinformation (geodata, geoservices, geoinformation via APIs) can be found on data.europa.eu and how it can be used
    • Discuss the future needs for dealing with geoinformation within data.europa.eu
    Последна промяна: 11/03/2022
  • 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 on presenting data in an attractive, efficient and ethical way
    • Understand how to apply the methods data visualisation techniques for various purposes
    Последна промяна: 11/03/2022