Academy

Your training network to bridge Earth System and Data Science

Online Coffee lectures - Overview

The NFDI4Earth Academy offers its Online Coffee Lecture series from October 2024 to March 2025. Short lectures and talks on various topics related to Machine Learning, research data and the NFDI will take place every second Tuesday from 11:00 to 12:00 am online via Zoom. This part of the NFDI4Earth Academy program is open to the whole community.

Everybody is welcome and the participation is free of charge. ​Please register for lectures to receive the dial-in data.

Grab a cup of coffee or tea and drop by virtually!

Online Coffee lecture - Program October 2024 - March 2025

2025
Tuesday 04.02. 10-12 am Introduction to Research Data Management (Justine Vandendorpe & Kathrin Grummich, ZBMED)
This Coffee Talk on Research Data Management (RDM) is aimed at all life-science researchers (with a focus on earth system scientists) who are interested in learning about best practices in data handling. Topics covered in this talk include basic concepts of RDM (What are research data and RDM? What are the FAIR data principles and the Good Research Practices (GRP)? What are metadata and how are they best used to document data?) and all steps of RDM from planning to data reuse, including data organisation, data storage and preservation, data repositories, and data discovery.This talk is offered by the ZB MED - Information Centre for Life Sciences. It will take place online on 4 February 2025 from 10:00 to 12:00 and will be held in English.There will be no interactive activities and participants will have the opportunity to ask questions and provide feedback. We look forward to welcoming you to this lecture! Register here

Tuesday 18.02. 11-12 am The OneStop4All - entry point to the resources of the NFDI4Earth (Sibylle Haßler, KIT; Ivonne Anders, DKRZ; Tom Niers, TUDD; Christin Henzen, TUDD)
The OneStop4All (OS4A) is the main access point to all NFDI4Earth resources and aims to support all searches and questions that the users from the Earth System Sciences (ESS) might have. This includes general principles of FAIR data and data management, finding and accessing (primarily ESS relevant) datasets, tools and services as well as training materials, and information about the NFDI4Earth, the involved organisations and participants.
We present the portal and its current functionalities and give some insight into the concept and development. Register here

Tuesday 04.03. 11-12 am Introducing Galaxy for Earth System (Jérôme Detoc, Ifremer; Marie Jossé, Data Terra, CNRS)
Galaxy now supports Earth sciences, including climate, ecology, and environmental research. With its open-source platform and commitment to FAIR principles, Galaxy provides a powerful set of tools for building, sharing, and replicating workflows. From novice to expert, researchers can access user-friendly tools for comprehensive data analysis without programming skills. Join a growing community leveraging advanced technologies and collaborative resources to drive insights into our planet’s systems—perfect for Earth data enthusiasts looking to elevate their research. More details can be found here. Register here

Tuesday 25.03. 11-12 am The NFDI4Earth Fairness and Openness Commitment (Daniel Nüst, TUDD)
The transition to fully FAIR and Open sharing of all research outputs requires a cultural and systemic change that evolves current practices and that promotes solutions for open data sharing. Only by working together as a community and building on the existing uptake of Open Science practices in the Earth System Sciences community can this happen.
NFDI4Earth as aims to become a central facilitator for research data management in the German Earth System Sciences community, enabling more open knowledge sharing. The NFDI4Earth FAIRness and Openness Commitment (https://nfdi4earth.de/commitment) is an initiative to engage the NFDI4Earth community in shaping, promoting, and implementing the NFDI4Earth mission. NFDI4Earth invites all individuals, groups, and institutions to sign the statement of commitment and become ambassadors for change towards more FAIR and Open data practices in Earth System Sciences.
In this talk, Daniel presents the NFDI4Earth Commitment, its genesis, and provides guidance for different stakeholders on the realisation of the Commitment's vision to advance FAIRness and Openness in Earth System Sciences and to value data infrastructures and data experts. Register here

2024
Tuesday 29.10. 11-12 am Introducing Data Train: Training in Research Data Management and Data Science (Lina Schaare, U Bremen Research Alliance)
For early career researchers, developing strong skills in data science, research data management, and data literacy is crucial to their personal and professional growth. The U Bremen Research Alliance offers the central graduate training program Data Train as an additional offering for researchers of all disciplines to enhance their data skills. Data Train is free of costs for participants and offers lectures, workshops and events for interdisciplinary exchange. Since November 2023, Data Train has been integrated into DataNord, the interdisciplinary data competence center for the Bremen region, which is associated with consortia of the German National Research Data Infrastructure (NFDI) initiative. To meet the high demand for data competencies in academia, industry and society at large, further development of the Data Train program is supported by the Federal Ministry of Education and Research and financed by the European Union – NextGe​nerationEU. The talk will give an overview of the Data Train program and its contents, as well as highlight opportunities for NFDI4Earth researchers to get involved in the 2025 edition of Data Train.

Tuesday 12.11. 09-12 am NLP & LLMs: Basics for Harnessing the power of language (Matthias Aßenmacher, LMU Munich, Munich Center for Machine Learning (MCML), BERD@NFDI)
This 3h online workshop is ideal for researchers who want to learn about the potential of Natural Language Processing (NLP) and Large Language Models (LLMs) for their research and gain a deeper understanding of the inner workings of those models which are frequently perceived as black boxes. You will receive a broad overview of the theoretical foundations of NLP, learn about practical considerations, and get an idea of how to apply this technology to real-world problems. A more exhaustive variant of this course is available at https://slds-lmu.github.io/dl4nlp/ (full lecture). This lecture is in cooperation with the BERD Academy. Register here

Tuesday 26.11. 11-12 am Introducting the eXplainable Artificial Intelligence (XAI)-Toolbox (Manjunatha Veerappa, IOSB)
The XAI toolbox developed by Fraunhofer IOSB is designed with AI explainability at its core. It enables the swift evaluation of various  XAI methods for AI procedures. That is, the toolbox can be used, for example, for data analysis, debugging, and explaining the prediction of any black-box model. This ensures trustworthiness in AI decisions. Currently, it supports scikit and TensorFlow based time series as well as image classifiers. Register here

Tuesday 10.12. 11-12 am Data Competence Centers: Enhancing Data-Driven Research with Come2Data, DataNord & WiNoDa (Lena Steinmann, Universität Bremen & Data Science Center; Tanja Hörner, Universität Bremen & U Bremen Research Alliance; Alex Miklashevsky, Museum für Naturkunde Berlin)
The German Federal Government’s data strategy and the BMBF’s Action Plan for Research Data aim to strengthen data literacy in science by  supporting researchers in managing the growing volume of research data. To foster innovation, the BMBF is funding the establishment of data competence centers at universities and research institutions across Germany. These centers offer comprehensive support for all stages of the data lifecycle, from collection to reuse, and serve as hubs for learning, collaboration, and advancing data-driven research, helping to create a culture of effective data use and  analysis in science. NFDI4Earth is collaborating with three centers:  Come2Data, WiNoDa and DataNord.
In a Saxon-regional approach, Come2Data (Competence Center for Interdisciplin­ary Data Sciences) bundles existing data science training and support services as well as expertise and commitment to research data management, NFDI, high-performance computing and analysis methods for data-intensive interdisciplinary research applications such as artificial intelligence  and data modeling. DataNord (Interdisciplinary Data Competence Centre for the Bremen Region) offers researchers from all disciplines and career stages a wide range of  services to enhance their data handling skills throughout the entire data lifecycle; these include training sessions,  hackathons, consulting services, opportunities for networking and professional exchange. The WiNoDa project (Knowledge Lab for  Natural Science Collections and Object-Related Data) is creating a data competence center to support researchers in effectively utilizing these collections and advancing research in this domain. Register here

Online Coffee lecture - Program 2023

Thursday 24.08. 11-12 am Technical issues in data analytics: tips, tricks and hacks (Christoph Lehmann, TU Dresden)

Friday 08.09. 11-12 am Introduction to NFDI4Earth IG ​High-performance Computing in Earth System Sciences (Stephan Frickenhaus, AWI) & IG Long-term Storage and Archiving (Tim Schürmann, BKG)
The Interest Groups are forum for the NFDI4Earth community to e.g. identify, discuss and communicate requirements for NFDI4Earth, jointly advance NFDI4Earth-related concepts, technologies and processes, implement NFDI4Earth principles, or to disseminate specific NFDI4Earth offers. Today both interest groups will briefly introduce themselves, their current work, goals and possibilities to join the activities. 

Friday 22.09. 11-12 am All you need to know about Software Licenses as a RSE (Tobias Schlauch, DLR) 
A basic understanding of software licenses and related topics is necessary for RSEs to successfully publish their research software from the legal point of view. Typical questions are: What license should I use for code, documentation, or data? Can I combine this specific set of software licenses? How to document this information? This talk gives an overview about the copyright and software license basics. Using an example of a data analysis script written in Python, we go through the process of clarifying all relevant aspects and documenting them in a practical way. In this context, we introduce REUSE SOFTWARE which provides a standardized approach to document copyright and license information as well as helpful tools.

Friday 20.10. 11-12 am Introduction to PANGAEA (Lars Möller, MARUM)
 

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