November 2023 - lmu-osc

Introduction to Research Data Management for Medical and Biomedical Sciences
by LMU Open Science Center News Nov. 14, 2023

Nov. 14, 2023

Dear all, Do you know what data management actually means and how your research can benefit from it? To give you an overview on the topic, the ZB Med [1] and the LMU University Library [2] invite you to an online introduction to research data management on December 6th, 2-4 p.m. During the event, we will explain important concepts such as the FAIR principles, metadata standards, and persistent identifiers, introduce initiatives like the NFDI, and provide an overview of the various services at LMU (e.g., RDMO and Open Data LMU) with a special focus on the needs in Medical and Biomedical Sciences. Topics: FAIR, pre-registration, reproducible data analysis, data management plans, repositories, metadata, persistent identifiers, licenses After the lecture, you will have the possibility to define key topics that you like to explore in more detail. These key topics will be discussed more closely in one or more follow-up workshop/s at a later point. For participation please register here to receive the access link: https://lmu-munich.zoom-x.de/meeting/register/u5cofumprjsiEtADxm_fHee-y0B8Q… If you have any questions in advance, please contact us: rdm(a)ub.uni-muenchen.de<mailto:rdm@ub.uni-muenchen.de> We hope to see many of you on December 6th. Best wishes, Laura Meier for RDM Information @ University Library LMU [1]: https://www.zbmed.de/ [2]: https://www.ub.uni-muenchen.de/index.html

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Einladung zum Research Data Management Symposium (UGA/LMU)
by LMU Open Science Center News Nov. 9, 2023

Nov. 9, 2023

Sehr geehrte Damen und Herren, ich lade herzlich ein zu unserem "Research Data Management Symposium" am 14. November um 16 Uhr. Die Veranstaltung findet als Videokonferenz in Zoom statt. Informationen zur Registrierung und zum Programm finden Sie unter: https://www.dh-lehre.gwi.uni-muenchen.de/?lehrveranstaltung=research-data-m… Die Registrierung nehmen Sie am besten über den Link auf der o.g. Webseite vor, oder direkt hier: https://zoom.us/meeting/register/tJ0ld-isqjwtE9JrtaQmvffAp4YU0_QYh2uA#/regi… Wir werden uns in insgesamt 6 Lightning Talks und anschließender Diskussion mit dem Thema Datenpflege und Forschungsdatenmanagement im Kontext verschiedener Projekte beschäftigen. Die Veranstaltung wird organisiert von DIGILAB und RCDM der University of Georgia und der ITG der LMU. Viele Grüße Christian Riepl -------------------------------------------------------------- [cid:image001.png@01DA12F3.999BD310] Ludwig-Maximilians-Universitaet Dr. Christian Riepl IT-Gruppe Geisteswissenschaften Tel.: 089 2180 3746 *DH Kompetenz- und Datenzentrum* Fax : 089 2180 13543 Geschwister-Scholl-Platz 1 WWW : www.itg.lmu.de<http://www.itg.lmu.de/> D-80539 Muenchen

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REMINDER: Call for application: Software, Data, and Library Carpentry instructor training
by LMU Open Science Center News Nov. 6, 2023

Nov. 6, 2023

Dear computing skills enthusiasts This is a reminder that the deadline to apply to become a Software<https://software-carpentry.org/>, Data<https://datacarpentry.org/>, or Library<https://librarycarpentry.org/> Carpentries<https://carpentries.org/> instructor is 13 November 2023, 08:00 CET. If selected, you will get a 16-h training on the didactics of teaching computing skills. You will then be expected to contribute to delivering at least one workshop within a year. Please let me know if you have any question! Best wishes Malika -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator Website: https://www.osc.lmu.de<https://www.osc.lmu.de/> Mailing list: https://lists.lrz.de/mailman/listinfo/lmu-osc Bluesky: https://bsky.app/profile/lmu-osc.bsky.social LinkedIn: https://www.linkedin.com/company/lmu-open-science-center Mastodon: https://scicomm.xyz/@lmu_osc Twitter: https://twitter.com/lmu_osc From: Malika Ihle Sent: Thursday, 5 October 2023 09:25 To: 'lmu-osc(a)lists.lrz.de' <lmu-osc(a)lists.lrz.de> Subject: Call for application: Software, Data, and Library Carpentry instructor training Are you interested in becoming a certified instructor to teach your software, data, or library skills that facilitate open and reproducible research? Through generous funding from the Munich Center for Machine Learning (MCML<https://mcml.ai/>), the LMU Open Science Center (OSC<https://www.osc.uni-muenchen.de/index.html>) and MCML have established an institutional membership between LMU Munich and The Carpentries<https://carpentries.org/>. The Carpentries is a non-profit, community-led organisation, which specialises in teaching basic Software<https://software-carpentry.org/>, Data<https://datacarpentry.org/>, or Library<https://librarycarpentry.org/> skills to researchers of all career stages and across disciplines, in an inclusive environment. By training trainers to teach reproducible tools that increase integrity, credibility, and reuse, this partnership will foster the expansion of the open science community in Munich. As part of the institutional membership, we are able to offer training, free of charge, for 15 members (students or staff) of the LMU and TUM Universities to qualify as instructors for The Carpentries<https://carpentries.org/teach/>. Five of these seats are reserved in priority for MCML members. The training involves attendance of a 16-hour online event<https://carpentries.github.io/instructor-training/>, followed by a simple check-out process. Applicants are expected to already know or be willing to learn on their own at least one of the practical skills they would teach in their future workshops (e.g. R and/or Python and/or Unix Shell and/or Git, and/or Open Refine and/or SQL, etc.), as the instructor training will focus on the didactics around teaching said skill(s). Certified instructors will then be able to help deliver Software<https://software-carpentry.org/>, Data<https://datacarpentry.org/>, or Library<https://librarycarpentry.org/> Carpentry workshops using the existing open source training material from the Carpentries, for example by co-teaching a workshop for their research group, department, or in a Faculty where computing skills training isn't currently part of official curricula. We expect newly trained instructors to be involved in the delivery of at least one workshop in LMU or TU Munich within 12 months of completing the training. If interested, please read the information below and fill out this application form<https://tellmi.psy.lmu.de/formr/carpentries-application>. If you have any questions, feel free to get in touch with the OSC coordinator, Dr. Malika Ihle (malika.ihle(a)lmu.de<mailto:malika.ihle@lmu.de>), or the MCML open science transfer coordinator, Dr. Moritz Herrmann (moritz.herrmann(a)stat.uni-muenchen.de<mailto:moritz.herrmann@stat.uni-muenchen.de>). Timeline Application deadline: 13 November 2023, 08:00 CET Instructor training: Those offered a place are encouraged to attend the online training as soon as possible, from November 2023. Participation for the whole duration of the training is required. This 16-hour event can take place over 2 or 4 days. Minimally two sessions are provided each month, and new dates are shared every quarter. Please see the training calendar<https://carpentries.github.io/instructor-training/training_calendar.html> for upcoming sessions. Workshop delivery: We expect newly trained instructors to be involved in the delivery of at least one Carpentries workshop at the LMU or TU Munich within one year of completing the training. Eligibility criteria This call is aimed at postgraduate research students, research staff or fellows, and research support staff from any department, who expect to be based in Munich at least through the end of June 2025. Selection criteria Places will be allocated in line with the goal of building a sustainable community of instructors based in Munich. Criteria include: * career stage, motivation, and experience (i.e., balance between early-career researchers interested in building a community of peers, and permanent university staff already involved in training); * representation across Faculties/Schools (i.e., balance between disciplines with high demand for training in computing skills, and disciplines with limited training opportunities in this area); * previous involvement with the LMU Open Science Center and/or with The Carpentries (both favoured, but not necessary); * a commitment to diversity, equity, inclusion, and accessibility, to ensure that all future workshop participants are able to access training in a welcoming environment. We warmly encourage recent practitioners of software, data or library skills (e.g. students or early career researchers), and members who identify with groups that have been historically excluded from computer science and related fields (e.g., women, people of colour and/or from ethnic minority backgrounds, people with disabilities, and members of the LGBTQIA+ community) to apply. Click here <https://tellmi.psy.lmu.de/formr/carpentries-application> to access the online application form. Are you already a certified Carpentries instructor and want to contribute to the teaching of future workshops? Email malika.ihle(a)lmu.de<mailto:malika.ihle@lmu.de> to be added to our local instructors mailing list! -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator @MalikaIhle<https://twitter.com/MalikaIhle> | @MalikaIhle@scicomm.xyz<https://scicomm.xyz/web/@MalikaIhle> www.osc.lmu.de<http://www.osc.lmu.de/> | @lmu_osc<https://twitter.com/lmu_osc> |@lmu_osc@scicomm.xyz<https://scicomm.xyz/web/@lmu_osc> www.linkedin.com/company/lmu-open-science-center <http://www.linkedin.com/company/lmu-open-science-center> Mailing-list sign-up: https://lists.lrz.de/mailman/listinfo/lmu-osc

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meta-research lecture series LMU/Zoom
by LMU Open Science Center News Nov. 3, 2023

Nov. 3, 2023

Dear meta-research enthusiasts META-REP (a DFG-funded priority programme taking a meta-scientific perspective on replicability in disciplines dealing with human behaviour, with a focus on replicability assessment, reasons for (non-)replicability and on ways to improve reproducibility of empirical results) is starting a hybrid lecture series (LMU / Zoom): https://meta-rep.de/events/lectureseries/ The next one is: When: Nov 8 at 17:00 CET Who: Berna Devezer Title: Theoretical Insights on Replication: A Miracle or a Crutch? Abstract: Replication experiments purport to independently validate claims from previous research or provide some diagnostic evidence about their reliability. In practice, this value of replication experiments is often taken for granted. Our research shows that in replications, practice often does not live up to theory. Most replication experiments have a design different from the original rendering their results uninterpretable. These results can be driven by the true data generating mechanism, issues present in the original experiment, discrepancies between the original and the replication experiment new issues introduced in the replication experiment, or combinations of any of these factors. The answers we are looking for with regard to the true state of nature require a rigorous and meticulous investigative process of eliminating errors and singling out elementary or pure cases. In this talk, I will provide an overview of our theoretical approaches and results to date, building up toward a discussion of why most experiments are not replication-ready and what it would take for replication results to be clearly interpretable. I will chart an alternative path, where replication experiments play a critical yet a much more limited role in the scientific process than many scientists appear to envision today. Please find the zoom link and announcement of future lectures directly on their webpage: https://meta-rep.de/events/lectureseries/ Best wishes Malika -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator Website: https://www.osc.lmu.de<https://www.osc.lmu.de/> Mailing list: https://lists.lrz.de/mailman/listinfo/lmu-osc Bluesky: https://bsky.app/profile/lmu-osc.bsky.social LinkedIn: https://www.linkedin.com/company/lmu-open-science-center Mastodon: https://scicomm.xyz/@lmu_osc Twitter: https://twitter.com/lmu_osc

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