Scientific Coordination
Dr.
Marlene Mauk
Tel: +49 221 47694-579
Marlene Mauk
Tel: +49 221 47694-579
Administrative Coordination
Claudia O'Donovan-Bellante
Tel: +49 621 1246-221
Tel: +49 621 1246-221
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Tools for Efficient Workflows, Smooth Collaboration and Optimized Research Outputs
About
Location:
Mannheim B6, 4-5
Mannheim B6, 4-5
General Topics
Course Level
Format
Software used
Duration
Language
Fees
Students: 500 €
Academics: 750 €
Commercial: 1500 €
Keywords
Additional links
Lecturer(s): Dr. Julia Schulte-Cloos, Lukas Lehner
Course description
How can we create efficient workflows and facilitate optimal collaboration in teams? How can we ensure that our research processes, our data collection, and our complex (Big) Data analyses can be re-traced by ourselves and other researchers, both in the near and distant future? How can we build our analyses in a way that they can be run reliably and stably on other researchers' computers, regardless of the hardware and software environment? Efficient and reproducible workflows are essential to keep up with the increasing amount of data and complexity of analyses. In recent years, exciting new tools have emerged that enable effective data management and research collaboration. Not only do these new tools help us streamline our workflows, but they also make our research outputs more visible, citable, and sustainable. From the first day we begin adapting our research practices, we benefit from greater efficiency, ease of tracing our research progress, and smoother collaboration with other researchers. In the long run, these practices help us maintain a high quality of research outputs and meet the replicability and transparency standards that an increasing number of journals require for publication. This course provides participants with the skills to harness the potential of new tools that help create efficient workflows and optimize research outputs. It equips them with a toolkit to conduct research that is well organized and documented, and can be readily disseminated and reproduced, both when working on independent projects and in collaborations with others.
For additional details on the course and a day-to-day schedule, please download the full-length syllabus.
Target group
Learning objectives
By the end of the course participants will:
Organizational structure of the course
This course is a one-week full-time program designed to turn participants into experts in modern approaches to workflow management. Participants are expected to do some essential preparatory reading and install the required software before attending the course. All necessary instructions and tutorials will be provided in advance. The seminars consist of lectures, laboratory exercises, and group exercises. In the lab sessions, participants work on practical exercises and complete tasks both individually and in small groups while the lecturers assist them. This allows participants with different levels of prior knowledge to acquire new skills and progress at their own pace. The instructors are also available for one-on-one meetings to clarify questions and give advice on participants' projects.
Prerequisites
Participants will also need to register for free online accounts with GitHub and DockerHub. Course participants will receive
detailed instructions on the required software, packages and how to install them in sufficient time prior to the start of the
course.
Software and hardware requirements
Participants should bring their own laptops. More information on software/packages will be provided before the course.
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