Data Literacy Essentials

This course series provides you with tips on working with research data.

The 45-minute courses take place online on Thursdays at 12:30 p.m. during the semester and will be held in German. Learn more about the programme for the spring/sommer semester 2022 now and register for the online courses in the student portal. Students of the University of Applied Sciences and DHBW Mannheim please register via the link at the respective event announcement.

Programm Data Literacy Essentials (PDF, 80 KB, in German)

Course Slides

Semester program

24

Feb

12:30 p.m.
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1:15 p.m.

Dr. Irene Schumm

Data Literacy Essentials: Crash Course Data Literacy

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

03

Mar

12:30 p.m.
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1:15 p.m.

Lorena Steeb

Data Literacy Essentials: Daten recherchieren

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

10

Mar

12:30 p.m.
‐
1:15 p.m.

Ulrich Krieger

Data Literacy Essentials: Daten verstehen

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

17

Mar

12:30 p.m.
‐
1:15 p.m.

Markus Herklotz

Data Literacy Essentials: Daten erheben

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

24

Mar

12:30 p.m.
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1:15 p.m.

Dr. Irene Schumm, Lorena Steeb

Data Literacy Essentials: Daten organisieren

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

31

Mar

12:30 p.m.
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1:15 p.m.

Dr. Hendrik Platte-Burghardt

Data Literacy Essentials: Daten analysieren

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

07

Apr

12:30 p.m.
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1:15 p.m.

Lars Oberländer

Data Literacy Essentials: Datenschutz und Datenethik

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

28

Apr

12:30 p.m.
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1:15 p.m.

Prof. Dr. Richard Traunmüller

Data Literacy Essentials: Daten visualisieren

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

05

May

12:30 p.m.
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1:15 p.m.

Dr. Hendrik Platte-Burghardt

Data Literacy Essentials: Daten verarbeiten (STATA)

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

12

May

12:30 p.m.
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1:15 p.m.

Viktor Boecking

Data Literacy Essentials: Daten verarbeiten (R)

Tipps zum Umgang mit Forschungsdaten

12:30 – 13:15

Do you have any questions?

Information Literacy

University of Mannheim
University Library
Schloss Schneckenhof
68161 Mannheim

E-mail: informationskompetenzbib.uni-mannheim.de
Web: www.bib.uni-mannheim.de/en

Opening Hours

Available Seats

Information and Advice

Chat Mon–Fri 10–6

Data Literacy Essentials

This course series provides you with tips on working with research data.

Semester program

24

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Crash Course Data Literacy

03

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Daten recherchieren

10

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Daten verstehen

17

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Daten erheben

24

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Daten organisieren

31

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Daten analysieren

07

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Datenschutz und Datenethik

28

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Daten visualisieren

05

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Daten verarbeiten (STATA)

12

12:30 p.m.
‐
1:15 p.m.

Data Literacy Essentials: Daten verarbeiten (R)

Do you have any questions?

Information Literacy

InfoCenter

FORUM

24

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Crash Course Data Literacy

03

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Daten recherchieren

10

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Daten verstehen

17

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Daten erheben

24

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Daten organisieren

31

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Daten analysieren

07

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Datenschutz und Datenethik

28

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Daten visualisieren

05

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Daten verarbeiten (STATA)

12

12:30 p.m. ‐ 1:15 p.m.

Data Literacy Essentials: Daten verarbeiten (R)

Do you have any questions?

Information Literacy

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