Nowadays data literacy is widely considered a critical skill to have in the 21st century. Employees with data literacy skills have become highly valuable in today’s economy and labour market: more than ever before, employers demand some degree of data literacy from all employees, regardless of the professional role.Since data are used in a multitude of domains, data literacy is today an essential skill also for professionals like journalists, policy makers, etc. It is also a powerful enabler of civic engagement, as it empowers individuals and communities to keep governments transparent and accountable.The project DATALIT aims at:- offering to university students across different Faculties, the opportunity to reach a suitable level of data knowledge that they can use and apply appropriately and diversely throughout their personal and professional lives,- Narrowing the gap between business and academia and putting EU enterprises in direct contact with potential future employees or business partners properly trained to exploit data effectivelyTo meet this challenge, DATALIT will develop and pilot an approach based on a long-term partnership of academia, business and educational partners. After an in-depth research phase, aimed at identifying best practices and experiences of data literacy inclusion in EU higher education and to better understand the needs and expectations of the target groups (students, HE professionals, employers), the partners will define a common understanding of data literacy as competence and design a syllabus to orient the creation of data courses. In parallel, the partners will develop a digital learning environment to integrate the class-based courses and a sound validation and certification system connected to the EQF, ECTS and Europass systems. The outputs developed will be piloted by the Universities involved and by students that will have the opportunity to apply their data skills through internship experiences in EU enterprises.
The project DATALIT aims to achieve the following main objectives:• offering to university students across different faculties, the opportunity to reach a suitable level of data knowledge that they can use and apply appropriately and diversely throughout their personal and professional lives.• narrowing the gap between business and academia and putting EU enterprises in direct contact with potential future employees or business partners properly trained to exploit data effectively.
Data literacy is a term broadly used to define the ability to read, work with, analyse, visualise, and argue with data, and it is also a powerful enabler of civic engagement, as it empowers individuals and communities to keep governments transparent and accountable. Despite its relevance in labour market and society in general, data analysis is still not included in many university courses, as it is usually part of computer science, engineering and math courses’ curricula.
<< Background >> Data literacy is a term broadly used to define the ability to read, work with, analyse, visualise, and argue with data, and it is also a powerful enabler of civic engagement, as it empowers individuals and communities to keep governments transparent and accountable. Despite its relevance in labour market and society in general, data analysis is still not included in many university courses, as it is usually part of computer science, engineering and math courses’ curricula. << Objectives >> The project DATALIT aims to achieve the following main objectives:• offering to university students across different faculties, the opportunity to reach a suitable level of data knowledge that they can use and apply appropriately and diversely throughout their personal and professional lives.• narrowing the gap between business and academia and putting EU enterprises in direct contact with potential future employees or business partners properly trained to exploit data effectively. << Implementation >> Partners have conducted an in-depth research aimed at identifying best practices and experiences of data literacy inclusion in EU higher education. Moreover, the consortium developed a digital learning environment to integrate a class-based courses and a sound validation and certification system, based on LEVEL5 methodology, connected to the EQF, ECTS and EUROPASS systems. The learning path was piloted by the Universities in collaboration with the business partners. << Results >> Main results of the DATALIT project include:- a comparative needs analysis on Data Literacy iin Europe- a competence framework for Data Literacy - the DATALIT learning ecosystem including learning moduls related to the development of data literacy competences- the pilot of the DATALIT learning model in universities and enterprises- the validation of data literacy competences acquired by participantsAll these results contributed to the achievement of the objectives mentioned above.