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DaLiCo – Data Literacy in Context

The Erasmus+-funded international project “Data Literacy in Context” brings together four European Universities of Applied Sciences with the mutual mission to foster data literacy education: HAW Hamburg as the Coordinator of the project, Stichting Hogeschool Utrecht, University of Debrecen and Universitat Politècnica de València as partners.

 

The project DaLiCo is focusing on increasing the visibility, quality and usage of existing Data Literacy activities at the participating universities. Subsequently, the project partners will develop collaboration and infrastructures between departments, institutions and external partners to encourage the building of a Data Literacy community for conveying Data Literacy competencies and thus,

  • contribute to a cultural change at the participating institutions regarding student’s and lecturer’s attitudes towards Data Literacy and openness,
  • enable lecturers and students to develop custom-tailored procedures to successfully deal with data in their specific domain and
  • significantly increase lecturer’s and student’s data competencies and thus increase their academic success and qualify them for a successful career by adapting to the growing needs for Data Literacy competencies in the increasingly data driven job markets.

 

The objectives of the project then result in five interconnected sub-projects: the compilation of data literacy resources leading to a so-called Data Literacy Map, a proven Train-the-Trainer concept, a concept for data literacy learning spaces, a measurement and assessment tool for data literacy activities, and finally a pilot concept for the regional implementation of common international data literacy standards of the partners.

This creates an interdisciplinary offer for the acquisition of knowledge in the field of data literacy in order to make the already existing expertise of existing universities and departments transparent and to support their further development.

As an inter-university network, DaLiCo goes beyond the purely scientific field in its project and includes practical contacts that contribute their knowledge from the professional environment. The project also enables lecturers and students to develop tailor-made procedures to deal successfully with data in their specific field and to significantly increase their own data competence and thus their academic performance.

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