July 2026 - Training4lifescience

WiNoDa x DiSSCo Hackathon 14-15 October – register now!

by Schwartz, Anna Lisa

Dear list members, Ready to build the next generation of machine annotation services for natural science collections? Join the DiSSCo x WiNoDa Hackathon on 14–15 October and work together with experts from the Naturalis Biodiversity Center to develop innovative solutions for Specimen Data. Pitch your ideas, form teams, and collaboratively hack focused on automated annotation. We welcome software engineers and data scientists and everyone working with object-based specimen data who would like to join the hack teams. Registration is open until August 31. For more information, click here: https://winoda.de/en/event/hackathon/ __________________________________________________________________ Anna Lisa Schwartz https://orcid.org/0000-0003-0391-3879 WiNoDa Knowledge Lab<https://winoda.de/> (Koordination, FDM und Training) hier geht’s zum newsletter<https://lists.gbv.de/listinfo/winoda-newsletter> GFBio - Gesellschaft für Biologische Daten e.V. Unicom 2, Haus 2-4 Mary-Somerville-Str. 2-4 28359 Bremen Tel: 0421 37703484

1 week, 1 day

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NFDI4Biodiversity & iDiv Seasonal School 2026 - Registration open!

by Juliane Röder

Dear all, NFDI4Biodiversity and the German Centre for Integrative Biodiversity Research (iDiv) present the fourth Seasonal School on Data Management in Biodiversity and Environmental Science *from 5 to 9 October 2026.* Registration is open (until 30 August 23:59 CEST): www.nfdi4biodiversity.org/de/events/seasonal-school-2026/ *Participants will learn*... * How to create a data management plan * How to use Jupyter in combination with R (and Python) as working environment and Quarto to create reproducible content * How to integrate and clean data from different sources * How to set up reproducible workflows for data processing and analysis * How to publish data according to the FAIR principles * ... and about legal aspects of handling and sharing data The course is held online, in English, and participation is free of charge. Please note that spaces for our Seasonal School are limited. Priority will be given to members of the iDiv Graduate School and to doctoral researchers from NFDI4Biodiversity partners, but participants from all institutions are welcome to apply. You can find further information on prerequisites and course details here: https://nfdi4biodiversity.org/de/events/seasonal-school-2026/ Please forward this announcement in your networks! Best regards, Juliane -- Dr. Juliane Röder Projektmitarbeiterin | Project assistant NFDI4BioDiversity Task Area 1 Measure 4 – Education and Training www.nfdi4biodiversity.org Philipps-Universität Marburg Servicezentrum digital gestützte Forschung www.uni-marburg.de/eresearch HeFDI — Hessische Forschungsdateninfrastrukturen www.hefdi.de Biegenstraße 36 35032 Marburg Tel.: +49 6421-28-25022 juliane.roeder(a)uni-marburg.de Röder, J. (2026, February 13). NFDI, NFDI4Biodiversity & eResearch support your research data management. open_UMR. https://doi.org/10.17192/openumr/534 Röder, J., Signer, J., Scherreiks, P., Figueiredo, L., Kusch, E., Linares Gómez, J., Müller, W., Nozik, A., Schellenberger Costa, D., Scherer, C., Schindler, U., & Tschink, D. (2025). Template for the NFDI4Biodiversity & iDiv Seasonal School on Data Management in Ecology and Environmental Science 2024 (1.0). Zenodo. https://doi.org/10.5281/zenodo.15585748 Röder, J. (2025). A (very brief) introduction to research data management. Zenodo. https://doi.org/10.5281/zenodo.15641467 Röder, J., Frohne, K., & Tschink, D. (2024). Research Data Scary Tales—Biodiversity Edition. Zenodo. https://doi.org/10.5281/ZENODO.14237417 Fischer, M., Röder, J., Signer, J., Tschink, D., Weibulat, T., & Brand, O. (2023, 2024). NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity Data. LiaScript course. https://github.com/NFDI4Biodiversity/nfdi4biodiversity-sle Ilias course. https://ilias.uni-marburg.de/goto.php/crs/3219917 Text. https://doi.org/10.5281/zenodo.10377867 Import files Ilias & Moodle. https://doi.org/10.5281/zenodo.17582795

1 week, 4 days

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Understanding Uncertainty in Data-Driven Research

by Juliane Röder

* *From*: Veronica Haas <veronica.haas(a)uni-mannheim.de> * *To*: "forschungsdaten(a)listserv.dfn.de" <forschungsdaten(a)listserv.dfn.de> * *Subject*: [forschungsdaten] Free Online Course: Understanding Uncertainty in Data-Driven Research (Starts Sept 1st) * *Date*: Tue, 7 Jul 2026 11:25:59 +0000 ------------------------------------------------------------------------ Dear all, We are pleased to invite you to the upcoming online course, *"Understanding Uncertainty in Data-Driven Research: How Uncertainty Shapes Machine Learning"*, starting on September 1st, 2026. How certain are the outputs of a machine learning model, and where does that uncertainty come from? This course helps participants trace uncertainty across the full data-driven research workflow - from data generation, measurement, and labeling to modeling, evaluation, decision-making, and the use of Large Language Models. Led by *Cornelia Gruber* (Department of Statistics, LMU Munich), this course will be spread across 4 sessions over 4 week. It is *open to all researchers*, free of charge, and will be conducted in English via Zoom. Each week consists of a lecture, followd by an enxtensive Q&A session. Participants will explore key concepts like aleatoric and epistemic uncertainty, question "ground truth" assumptions by looking at human disagreement in datasets, and learn to interpret probabilistic predictions for real-world decision-making. By the end of the course, you will be better equipped to analyze what a model output really means, what it might be hiding, and how to make uncertainty visible in your own research. The application deadline is *August 4th, 2026 (CEST)*. Because participation is limited and demand usually exceeds capacity, the application form includes a few questions about your background. Please note that priority will be given to researchers working in business, economics, and related social sciences. For more details and to submit your application, please visit our course page: https://www.berd-nfdi.de/berd-academy/uncertainty-26/ <https://www.berd-nfdi.de/berd-academy/uncertainty-26/>. Please feel free to forward this invitation to interested colleagues and research networks. Best regards, Veronica Haas ................................................................... *Veronica Haas* (she/her | de, en, it) Communications and Dissemination Officer University Library University of Mannheim D – 68131 Mannheim phone +49-621-181-2719 Website: www.berd-nfdi.de <http://www.berd-nfdi.de/>

1 week, 5 days

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Invitation to de.NBI & ELIXIR Germany and GHGA webinar "Reproducible and Scalable Workflows with Nextflow", online 16.07.26 at 13:00 CEST

by González Ribao, Vanessa

*** Bitte beachten Sie, dass diese Veranstaltung ausschließlich in englischer Sprache stattfindet *** Dear Training Community, de.NBI & ELIXIR Germany<https://www.denbi.de/> and GHGA<http://www.ghga.de/> (The German Human Genome Phenome Archive) are inviting you to the next episode of our joint Webinar Series: Building Reproducible and Scalable Workflows with Nextflow. Efficient data analysis requires more than just a collection of scripts. In this webinar, you will discover how Nextflow empowers researchers to create portable and highly parallelized pipelines. We will also cover the integration of software containers and the deployment of workflows across various cloud and cluster environments without changing a single line of code. This webinar is aimed at students, early career researchers, clinicians, bioinformaticians and everyone interested in streamlining complex data analysis using Nextflow. The webinar will be held by GHGA Workflows expert and Newtflow ambassador Kübra Narci from the German Cancer Research Centre in Heidelberg. The event is in English, it takes approx. 60 minutes and will be held on 16th July 2026 at 13:00 CEST (available afterwards on demand<https://www.youtube.com/playlist?list=PLXMwmQxyLByXU38-1aG7m-b1A6UADZcxw>). Attendance is free, but we ask for registration<https://dkfz-de.zoom-x.de/meeting/register/UFgtBVWwS0KFHvdoG_FOYA>. [cid:image001.png@01DD0F91.F60B8E90] For more information or registration, visit our event website<https://www.ghga.de/events/detail/the-denbi-elixir-de-and-ghga-knowledge-se…>. The Organisation Team of the de.NBI & ELIXIR-DE and GHGA Knowledge Series GHGA - German Human Genome-Phenome Archive - www.ghga.de<http://www.ghga.de> de.NBI & ELIXIR Germany - www.denbi.de<http://www.denbi.de> Kind regards, Dr. Vanessa González Ribao German Human Genome-Phenome Archive Training Coordinator for Data Protection www.ghga.de<http://www.ghga.de> German Cancer Research Center (DKFZ) Foundation under Public Law Im Neuenheimer Feld 280 69120 Heidelberg Germany vanessa.gonzalezribao(a)dkfz-heidelberg.de<mailto:vanessa.gonzalezribao@dkfz-heidelberg.de> www.dkfz.de<http://www.dkfz.de/> [cid:image002.png@01DD0F91.F60B8E90] Management Board: Prof. Dr. med. Dr. h. c. Michael Baumann, Shalini Saxena (interim) VAT-ID No.: DE143293537

2 weeks, 2 days

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