Data Literacy at the interface of higher education and business
The project: Data Literacy at the interface of higher education and business is funded within the Erasmus+ Programme in the period from 1 January 2020 to 31 December 2021.
The overall objectives of the projects derive from the challenges and needs identified during the need analysis and are the following: Defining a common understanding of what a data-literate person is supposed to know and is able to do, not only as a worker but also as an active citizen; Designing and developing innovative didactic frameworks related to data literacy that reflect the views and needs of academia and job market; Fostering a culture of data literacy among European citizens; Making graduate students acquire the data skills they need to succeed in the job market and to actively take part in the civil society.
Project description: Nowadays data literacy is widely considered a critical skill to have in the 21st century. It can be defined as the ability to read, work with, analyze, and argue with data, in order to derive meaningful information and knowledge. Employees with data literacy skills have become highly valuable in today’s economy and labor 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, policymakers, etc. It is also a powerful enabler of civic engagement, as it empowers individuals and communities to keep governments transparent and accountable, tackle local issues, and navigate their own data ecosystems. The project DATALIT aims at: Offering 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.
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