08.11.2022, 13:00-16:00, in English, online

Target:

The requirements for the management of research data during and after research projects are increasing. From the planning of a project, to the analysis of collected data, to the sharing of results through different channels, researchers have different tools, systems and services (at the University of Vienna) at their disposal to manage data according to good scientific practice.

This workshop provides an overview of the relevant aspects of Research Data Management and addresses best practices as well as participant-oriented examples along the research data life cycle.

Target Group:

Members of the University of Vienna and all those interested in data management and digital long-term archiving.

Content:

The workshop gives a general introduction to the concepts of research data management, Open Science and FAIR principles and is divided into the sections of the research data life cycle:

Planning: data management plans, file naming, folder structures, README files.

Collection: backups, file formats

Preparation/Analysis: data storage and processing, data sharing

Archiving: repositories, metadata for research data, licences, persistent identifiers

Publishing: Data Journals

Reuse: FAIR principles, Open Science, search strategies

Lecturer: Elena Fürst, BA BA MA, Tereza Kalová, MA (Res), M.A. LIS and Eva Dorottya Gergely

Registration in Kursdatenbank der Personalentwicklung der Universität Wien (LogIn with u:account)