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MaDaLi² Project

In a digitalized world, the handling of data plays a central role.

Data literacy can be understood as "key competence of the 21th century“ that enables people not only to collect and analyze data, but also to critically evaluate and interpret it in a meaningful way. This competence is essential for making well-founded decisions, whether in academia, business or everyday life.  Against this background, the University of Mannheim is expanding its extracurricular curriculum with the eLearning course MaDaLi2, with which we want to give our students the opportunity to acquire basic, practice-oriented data skills.

What is data literacy?

“Data literacy is the ability to collect, manage, evaluate and apply data in a critical manner.” (cf. Ridsdale et al., 2015, p. 8)

Data literacy refers to the ability to handle data in a critical manner. This term is often used to describe various individual skills, such as the ability to collect, evaluate, analzye or visualize data. Data literacy can therefore be understood as a fundamental competence for participating confidently and responsibly in an everyday life shaped by digitalization.

Data literacy for students of all disciplines

The course was developed by the Teaching and Learning Center (ZLL), the University Library (UB) and representatives of the  Business School (chair held by Stahl) and the School of Humanities (chair held by Altvater-Mackensen and chair held by Naab) . It offers students at the University of Mannheim interdisciplinary knowledge of theoretical principles and practical skills for dealing with data.

The course is currently under construction and will consist of eight modules, which are also based on the data literacy framework of  Schüller et al. The learning modules can be completed flexibly in self-study phases. Students can also take selected individual modules. No previous knowledge is required to take part in the course.

Module overview

  • Module 1: Building a data culture

    • Basic knowledge of the concept of data literacy
    • Data in everyday life and research
    • Teaching methodological skills (qualitative and quantitative research)
    • Teaching methodological skills (qualitative and quantitative research)
    • Ethical problems in dealing with data
  • Module 2: Anchoring data ethics

    • Data protection
    • Copyright law and license law
    • Introducing the concept of personal data
  • Module 3: Collecting and (re)using data

    • Explaining qualitative and quantitative data collection using various data collection methods
    • Empirical studies
    • Open Data
    • Dealing with protected data
  • Module 4: Managing data

    • Metadata and documentation
    • Importance of key figures
    • Data conversion
  • Module 5: Analyzing data

    • (Explorative) data analysis and cleansing
    • Introduction to statistical key figures
    • Basics of inferential statistics and evaluation of sample data
    • Recognizing patterns and trends in data
    • Data visualization
  • Module 6: Interpreting data

    • Introduction to the concept of visual literacy
    • Critically analyzing data visualizations
    • Bias and distortion
  • Module 7: Classifying data

    • Critically classifying and evaluating data
    • Interpreting data analyses
  • Module 8: Publishing and archiving data

    • Publishing data sustainably in repositories
    • Subsequent use and long-term preservation
    • Introducing the FAIR principles
    • Open Science and Open Access
    • Excursus on the National Research Data Infrastructure (NFDI)

Contact

MaDaLi²

MaDaLi²

Please contact our team if you have questions.

madalimail-uni-mannheim.de

Contact persons

Dr. Leonie Bröcher

Dr. Leonie Bröcher (she/her)

Data literacy programme design, development and provision of eLearning resources, advice on integrating data literacy content into courses
University of Mannheim
Teaching and Learning Center
Schloss – Room ZEO 094
68161 Mannheim
Isabella Hartig, M.A.

Isabella Hartig, M.A.

Chair of Quantitative Marketing and Consumer Analytics
University of Mannheim
Mannheim Business School
L 5, 2
68161 Mannheim
Thomas Schmidt, M.A.

Thomas Schmidt, M.A.

Research Data Consultant (Data Literacy) | Management ExpLAB
University of Mannheim
University Library
Schloss Schneckenhof West – Room SN279
68161 Mannheim
Jonathan Schwenzer, M.A.

Jonathan Schwenzer, M.A. (he/him)

Academic Staff
University of Mannheim
Institute for Media and Communication Studies
B6, 30–32 – Room 443
68159 Mannheim
Consultation hour(s):
appointment via E-mail
Christos Sidiropoulos, M.Ed.

Christos Sidiropoulos, M.Ed.

Research Data Consultant (Data Literacy) | Subject Librarian for Mathematics
University of Mannheim
University Library
Schloss Schneckenhof West – Room SN 281
68161 Mannheim