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September 2022

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Data literacy training
by LMU Open Science Center News Sept. 26, 2022

Sept. 26, 2022

Dear open science enthusiasts, The National Research Data Infrastructure Germany (NFDI) Consortium for Business, Economic and Related Data (BERD) is offering bite-size training on data literacy by organizing an event series "Statistics for the Public Good - Infrastructure Decision Making, Research and Discourse": https://www.berd-nfdi.de/statistics-for-the-public-good-infrastructures-for… Among others, note the sessions organized by the LMU; for instance: Democratizing Data: AI Tools for Discovery Workshop by Julia Lane In-Person Workshop, University Library Mannheim: Registration<https://www.xing-events.com/BXCQYED> Or join the first part online: Registration<https://www.xing-events.com/XEIYXEX> 29th September 2022 3 p.m. - 6 p.m Should Government Data Concern or Serve Us? by Julia Lane In-Person Workshop, LMU Munich: Registration<https://www.xing-events.com/GAGBMRD.html> 11th October 2022 9 a.m. - 5 p.m. Best wishes Malika -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator www.osc.lmu.de<http://www.osc.lmu.de/> | @lmu_osc<https://twitter.com/lmu_osc> | @MalikaIhle<https://twitter.com/MalikaIhle> >> Subscribe to the LMU OSC mailing list<https://lists.lrz.de/mailman/listinfo/lmu-osc>

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public hybrid lectures: 3-day crash course in open science 27.-29. Sept in Planegg-Martinsried and on Zoom
by LMU Open Science Center News Sept. 5, 2022

Sept. 5, 2022

Dear Open Science enthusiasts, The lectures of the crash course in Open Science we are organizing on 27.-29. September in the Faculty of Biology in Martinsried are open to all, LMU members or externals, in-person or on Zoom. You can register for one, several, or all of them by following the link below. Registration: https://de.xing-events.com/JYVETZT Day 1: Tuesday 27.09.2022 09:45 - 10:45 Intro to the reproducibility crisis and open science (Tim Parker) 11:00 - 12:00 Credible research with preregistration and reproducible workflows (Malika Ihle) 13:15 - 14:15 Open data to promote transparency and reproducibility (Dom Roche) Day 2: Wednesday 28.09.2022 09:30 - 10:30 Meta-analyses and biases (Rose O'dea) 10:45 - 11:45 Bias against the null hypothesis and best practices in statistical design (Wolfgang Forstmeier) Day 3: Thursday 29.09.2022 09:30 - 10:30 Research Data Management basics and LMU services (LMU RDM HelpDesk) 10:45 - 11:45 Open Access, Preprint, Postprint (Maximillian Frank) The call for applications to attend the workshops is now closed, but due to some cancellations there are now a few seats available to attend the whole course. If you are interested, please contact the LMU Open Science Center Coordinator, Dr Malika Ihle: malika.ihle(a)lmu.de<mailto:malika.ihle@lmu.de> before 15.09.2022. Join the full course and learn how to: * plan your statistical plans in advance of collecting data to prevent biases in analyses, with the help of preregistration and data simulation ; * create reproducible workflows so you can spot your mistakes in your data wrangling or analyses, through version controlling your scripts ; * share your data, materials, codes, and articles appropriately for your research to have more impact, by allowing others to build upon or replicate your work ; * avoid common mistakes in statistics and avoid biases in meta-analyses. The full schedule is attached. More information<https://www.osc.uni-muenchen.de/news/crash_course_20220927/index.html> can be found on the LMU Open Science Center website. [https://lh5.googleusercontent.com/9Mg8XGXQ6flP9iNRL7E9Wf0IIbNsOnssaolbdZJ16…] -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator www.osc.lmu.de<http://www.osc.lmu.de/> | @lmu_osc<https://twitter.com/lmu_osc> | @MalikaIhle<https://twitter.com/MalikaIhle> >> Subscribe to the LMU OSC mailing list<https://lists.lrz.de/mailman/listinfo/lmu-osc>

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