Welcome to Datalit!

A joint research project to spread Data Literacy at the interface of higher education and business

We aim at laying the ground for the integration of data literacy as transversal topic in potentially all university courses, by identifying and developing common syllabus and innovative teaching and learning approaches.

What we will do

Step 1

A blended learning concept will be designed, composed by transferrable study units that can be integrated in curricula of different courses, and by experiential learning projects in European enterprises.

Step 2

The universities and companies that join the consortium will play a central and synergic role in the design of training resources that address the concrete opportunities and risks for European enterprises and organisations in collecting, managing and exploiting data.

Step 3

The approach will be piloted during the project in class and workplace environment and 10-15 students from each partner country will join the project. Specific training courses and resources will be provided for HE professionals and HR training managers that will pilot the methodology.

Step 4

The new data literacy competences will be validated and connected to European validation and certification instruments. The development of related skills as critical thinking, social and civic competence, etc. will be recognised and validated through the LEVEL5 system.

Target groups

We have identified three target groups

HE Students

The acquisition of competences related to DATALIT will help students to improve their employability.

Educational and HR professionals

Teachers, trainers, learning facilitators will be involved in DATALIT innovative teaching approach to foster data literacy and data skills as new part of digital competencies

Evaluators and validation practitioners

Stakeholders such as counsellors, assessors, process managers and other external observers will play a strategic role in the project.

The vision behind the project

Data Literacy can be defined as the ability to read, work with, analyse, and argue with data, in order to derive meaningful information and knowledge.

Literacy Competences

Using data refers to the way we read, make sense and trust the data we get from hundreds of sources, including news, social networks, apps, just to mention a few.

Key Actors

Making sense of data is no longer a must-have skill for data scientist or technology experts only, but it is an essential ability for all citizens.

Strategic Aspects

Key aspects to cover will be the ethics of (big) data, also in view of a full compliance with GDPR, and the re-use of open data to enhance services, optimise processes, and ultimately increase profits.