Looking at the data courses offered by universities, the consortium identified critical limitations:
FragmentationCourses are fragmentary in time and space. The duration of a data science course ranges from one week to a semester or a 1-2-year master degree. They are organized as face to face lesson, or through web platforms.
InhomogeneityThe syllabus of these courses are very different. Even though, the data literacy profile is often connected to competences in data visualisation, statistics, machine learning, each course gives different weights to these macro topics. As a result, there is not a homogeneous competence profile for data literacy
Not qualifiedIt does not exist a qualification system recognized at European level related to data literacy and data science profession.
InadequacyThe needs of job market have not been adequately analysed. It’s clear that there is still not a mature debate on this topic between academia and businesses
The overall objectives of the projects derive from the challenges and needs identified during the need analysis, and are the following: