Graduate School of the Arts and Humanities (GSAH)

Soft Skills

Introduction to Research Data Management for the Humanities

Tuesday, 2024/04/16, 09:00


Event organizer: GSAH
Speaker: MA Peter Dängeli, MA, Ursula Loosli, Dr. Gero Schreier
Date: 2024/04/16
Time: 09:00 Time
Locality: A-119
UniS
Schanzeneckstrasse 1
3012 Bern
Characteristics: open to the public
free of charge

Information

Moderation: MA Peter Dängeli, MA, Ursula Loosli, Dr. Gero Schreier

Room: UniS, Schanzeneckstr. 1, Room A-119

ECTS: 1.5 (GSAH Wahlpflichtbereich)

Registration: Until March 15, 2024 via KSL und E-Mail to michael.toggweiler@unibe.ch

Team

Peter Dängeli  (lic. phil. Hist., M.A. in Digital Humanities) is a member of the Digital Humanities support team at the Data Science Lab (DSL) of the University of Bern, where he assists research projects at any stage of their life cycle and is primarily tasked with questions of data modelling, data transformation, and data sustainability, often related to digital scholarly editions.

Ursula Loosli (MA in German Studies, MAS in Archival, Library and Information Science) works as subject librarian for Digital Humanities at the University Library Bern since 2019 and additionally in the research data management department for the University Library Bern since 2021.

Gero Schreier has been working in research data support at the Open Science Team at Bern University Library since 2019. He has a PhD in Medieval History, and an MAS in Library and Information Sciences.

Summary

Have you ever wondered how to keep an overview of those dozens of files that you generate during your research? How and where can you store them safely, and what is a Data Management Plan (DMP) good for? These are some of the key questions of research data management (RDM). RDM contributes significantly to the efficiency of everyday research, and it is an essential part of good research practice. In addition, RDM skills are increasingly important in professional careers in academia and beyond.

This course will enable Humanities researchers to organize, curate, store, and share their data according to current best practices. In addition to interactive lectures that convey the basis of good RDM, acquiring hands-on experience with practical examples will be a key component of this workshop. No previous technical knowledge required.

More information soon