Academy

Your training network to bridge Earth System and Data Science

Cohort calls - Overview

The Academy Fellows gather for five sessions, each lasting 1-1.5 hours, held bi-weekly. In these participatory sessions, we explore open data science concepts, tools, and practical applications through exploring examples of research data management. The lessons aim to improve data workflow, increase efficiency, and showcase collaborative research projects. Further, during this time, each Fellow will have progressed in their work and have a clear plan for future steps to enhance their open practices and research data management.

Cohort calls - Program
Session 1 NFDI4Earth Pilots & Introduction - Friday 10.02.2023 10:30-12:00 Uhr
1.1 NFDI4Earth Pilots (unscheduled extra topic) ( Veronika Grupp , Uni Leipzig)
Veronika will talk about the role of NFDI4Earth Pilots and present the current Call of Pilot projects.
1.2 OPENess to boost your science & RDM Pathways (Jonas Kuppler, GFZ)
Jonas will talk about the benefit of OPENness in science and introduce the idea behind the Cohort Calls.

Session 2 Reproducibility, Replicability and Open Science - Friday 24.02.2023 10:30-12:00 Uhr
2.1Exploiting GitLab: Organizing software development as a team ( Julia Neelmeijer , GFZ )
Julia will talk about her experience and workflows for using GitLab, as an example for source code management and hosting on git basis, to conduct and manage collaborative projects that aim for Open Source publishing (https://fernlab.gfz-potsdam.de/).  
2.2 Notebooks, Juypter and Quarto ( Dominik Hezel , Uni Frankfurt)
Dominik will talk about the using jupyter notebook and other options for reproducible research and fast publishing of results. Further, he will introduce how Juypter notebooks can be used to create a web application for learning Phyton.

Session 3 Reproducibility, Replicability and Open Science II - Friday 10.03.2023 10:30-12:00 Uhr
3.1Research software development ( NFDI4Earth IG Research Software)
The interest group will provide get an overview of the most important points (including licensing) on reproducible research software development and highlight to co attribute/cite research software in a way that authors get the appropriate credit.  
3.2 Docker for reproducible data science ( Daniel Nüst , TU Dresden)
Daniel will introduce Docker for reproducible data science and discuss for whom and when docker could be a good choice. Afterwards, we will do a hands-on exercise in using Docker.

Session 4 Data strategies for future us - Friday 24.03.2023 10:30-12:00 Uhr    
4.1 Data management plans (Timm Schoening, GEOMAR)
Timm will talk about the relevance and usefulness of DMPs in research data management, will share his experience of using DMPs in collaborative projects and provide a short overview of available tools.
4.2 Describing Research Data/MetaData (tbh)
tbh

Session 5 Collaborative research & Next steps - Thursday 06.04.2023 10:30-12:00 Uhr
5.1 Tools for collaborative research (tbh)
tbh
5.2 Next steps (Academy Coordination Team)
tbh

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