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hacky hour on **22.04.** Reproducible computational environment
by LMU Open Science Center News April 10, 2024

April 10, 2024

Dear computational reproducibility enthusiasts, Are you using programming languages such as R or Python? Are you, or your collaborators, sometimes struggling to get the same results on a different computer? Are you still searching for an optimal way to keep track of your computational environments and packages versions? Our next hacky hour's theme is "Reproducible computational environment" and it will exceptionally not take place on the last Monday of the month but on Monday April 22! When: Monday, April 22, 2024, 16:30-18:00 Where: in person at Wikipedia Munich, Angertorstraße 3 In this session, we will discuss the benefits of reproducible computational environments and share tips on how to use the most common environment management tools. Possible beginner resources to prepare your session's hack: * https://osf.io/xp9zn/ (8 mins demo to various tools, e.g. renv, conda, docker, binder) * Using binder with quarto: https://quarto.org/docs/projects/binder.html Sessions' agenda: * Brief round of introductions and description of the problems you'll be working on during that session * Formation of possible groups or tandems, if participants have tips to exchange on certain topics * Hack * Wrap-up: progress and next steps Learn more about the Hacky Hour initiative here: https://www.osc.uni-muenchen.de/members/hackyhour/index.html Sign-up to the mailing list to decide on the next session's topic: https://lists.lrz.de/mailman/listinfo/hackyhour 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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FAIR data documentation in the social sciences - online workshop 30.04.
by LMU Open Science Center News April 9, 2024

April 9, 2024

Dear social scientists and students, The OSC is pleased to welcome Dr. Katarina Blask (Leibniz Institute for Psychology (ZPID)) to deliver the workshop: "FAIR data documentation in the social sciences - an online workshop providing hands-on guidance" When: April 30 2024, 09:00-13:00 Where: Online Registration: https://www.pretix.osc.lmu.de/lmu-osc/FAIR-soc-sci/ Transparency and openness in the research process are becoming increasingly important in all scientific fields - including the social sciences. Accordingly, researchers should not only make research results freely available, for example in the form of scientific articles (open access), but also provide research data, analysis scripts and study materials. However, the reusability of the data made available requires comprehensive research data management (RDM) on the part of the researchers. In particular, research data should be made available in accordance with the FAIR principles, meaning that research data should be Findable, Accessible, and usable (Interoperable and Reusable). In this workshop, you will learn about FAIR data management in the social sciences. Specifically, you will 1) create a data management plan and 2) get an introduction to FAIR data documentation. Target audience: PhD students and post-docs from the social sciences (e.g. psychology, sociology, anthropology, etc). However, interested students are also welcome. Prerequisites: There is no prior knowledge required on research data management or the implementation of the FAIR principles. To participate in the hands-on session on data management planning, please create an account for the DMPTool https://dmptool.org/ if you do not already have one. Logistics: This event will be held online. Priority will be given to LMU members. Non-members will receive confirmation whether their attendance is possible at least 2 days before the workshop. 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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data management and sharing in (bio)medical sciences - online workshops 07. and 15.05
by LMU Open Science Center News April 9, 2024

April 9, 2024

Dear (bio)medical researchers and students, We are happy to announce two workshops that follow the lecture "Introduction to Research Data Management for Medical and Biomedical Sciences," offered jointly by ZB MED [1] and LMU University Library [2] in December 2023. The workshops deepen the topics of the introductory lecture and are targeted at doctoral students working in the medical and biomedical sciences. Please note that the maximum number of participants for each workshop is limited to 30 persons. Workshop on Data Sharing and Publication on 07.05.2024, 14:00-16:00 (online) The workshop gives a more detailed introduction to data sharing and publication and explores its practical aspects, focusing on the needs in medical and biomedical research. Participants will learn strategies for implementing access control mechanisms that enable data sharing while protecting sensitive information. Further topics are the benefits of using persistent identifiers (PIDs) and their connection to the FAIR data principles. Finally, the workshop provides participants with best practices for preparing and publishing data and gives an overview of data repositories in the medical and biomedical field. Through interactive sessions and discussions, participants will deepen their knowledge to effectively manage, share, and publish their research data, fostering transparency and reproducibility in their scientific work. Topics: access control, persistent identifiers, data publishing, repositories Registration link: https://lmu-munich.zoom-x.de/meeting/register/u50td-msqDoqGtCDKeUiKK0Vj8h4l… (You will receive the link to the Zoom Meeting a few days before the workshop.) Workshop on Data Management Plans (DMPs) on 15.05.2024, 14:00-16:00 (online) The workshop focuses on Data Management Plans (DMPs), a crucial element of successful research data management (RDM) and discipline-specific characteristics in medical and biomedical fields. The workshop will start with a basic introduction to data management plans, including their structure, advantages and possibilities. Through interactive exercises and expert guidance, the workshop will provide participants with the skills necessary to develop DMPs that ensure responsible and efficient data management throughout the research lifecycle. Also, an introduction and demonstration of the use of DMP tools will be provided, focussing on the DMP tool RDMO, which is well established in the German scientific community. This workshop empowers researchers in medical and biomedical fields to meet funder requirements, enhance research transparency, and promote data sharing and reproducibility. Topics: data management plans, DMP tools, RDMO Registration link: https://lmu-munich.zoom-x.de/meeting/register/u5Iud--pqjopHtBAvXEygQCTOKQk5… (You will receive the link to the Zoom Meeting a few days before the workshop.) If you have any questions in advance, please get in touch with us: rdm(a)ub.uni-muenchen.de<mailto:rdm@ub.uni-muenchen.de> We hope to see many of you in May. Best wishes, Laura Meier for RDM Information @ University Library LMU [1]: https://www.zbmed.de/ [2]: https://www.ub.uni-muenchen.de/<https://www.ub.uni-muenchen.de/index.html> -- 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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European survey on teaching research methodology
by LMU Open Science Center News March 25, 2024

March 25, 2024

Dear teachers of research methods If you teach in higher education within Europe, you are invited to complete the survey from our colleagues below which asks you about your attitudes and teaching formats relating to teaching research: https://www.surveymonkey.com/r/BLVDQ3P As part of a European special interest group on education of research methods, we have developed a survey which aims to explore the characteristics of teaching research methodology in higher education across Europe. With this survey, we hope to create an overview of attitudes and teaching formats across disciplines and countries related to teaching research methodology in higher education, to get a better understanding of current practices and needs. That will allow for sharing best practices and the design of educational interventions. With the survey we aim to target both teachers of research methodology and teachers of other subjects active in higher education (for more information, please visit https://osf.io/72xky/).We have ethical approval for our study granted by the Faculty of Humanities and Social Sciences, University of Split. The survey takes between 5-15 minutes to fill out, depending on whether you are a teacher of methodology or a teacher of other subjects. Please follow this link: https://www.surveymonkey.com/r/BLVDQ3P to read more about the survey and to participate. Michiel de Boer: University Medical Center Groningen, the Netherlands - m.r.de<http://m.r.de/>.<mailto:m.r.de.boer@umcg.nl>boer(a)umcg.nl<mailto:boer@umcg.nl> Silke Kniffert: Berlin Institute of Health (BIH) at Charité, Berlin, Germany - silke.kniffert(a)bih-charite.de<mailto:silke.kniffert@bih-charite.de> Ivan Buljan (project lead): University of Split, Croatia - ibuljan(a)ffst.hr<mailto:ibuljan@ffst.hr> Best wishes Malika -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator https://www.osc.lmu.de<https://www.osc.lmu.de/>

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Hacky Hour on MONDAY: "Reproducible manuscript"
by LMU Open Science Center News March 21, 2024

March 21, 2024

Hacky Hour on MONDAY: "Reproducible manuscript" Work on your problems related to the session's theme with the help of others. Have you attended a Rmarkdown or Quarto workshop but didn't implement it in your daily workflow? Have you adopted the practice of literate programming but still face challenges to optimize your workflow? Anyone from any level and discipline is welcome! When: Monday March 25, 2024, 16:30-18:00 Where: in person at Wikipedia Munich, Angertorstraße 3 Possible resources for your hack: * Beginner: https://florianpargent.github.io/Quarto_LMU_OSC/ https://osf.io/mfe37 (10 min demonstration for executable manuscripts using RStudio/Rmd/Zenodo/Google doc) * Advanced: https://plain-text.co/ https://osf.io/ngd9t (10 min demonstration for executable manuscripts using Emacs/Sweave/Bib/Version control) Sessions' agenda: * Brief round of introductions and description of the problems you'll be working on during that session * Formation of groups or tandems to exchange tips on specific problems * Hack * Wrap-up: progress and next steps Come along to talk about code, research tools, and open science in a social environment! Learn more about the Hacky Hour initiative here: https://www.osc.uni-muenchen.de/members/hackyhour/index.html Subscribe to the dedicated mailing list to decide on future topics here: https://lists.lrz.de/mailman/listinfo/hackyhour -- 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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multiverse analyses: lecture + workshop, March 14 and 15
by LMU Open Science Center News March 11, 2024

March 11, 2024

Dear quantitative researchers We are pleased to announce that a lecture and a workshop on multiverse analyses are open for registration! Participants to the (solely in person) workshop need to attend the lecture prior, but that (hybrid) lecture is open to all! Hybrid lecture: "Increasing transparency through preregistration and/or multiverse analyses" by Prof. Dr. Andrea Hildebrandt (Carl von Ossietzky Universität Oldenburg) Thursday March 14, 16:00-17:00, Munich, Leopoldstraße 13, room 2201<https://www.lmu.de/raumfinder/#/building/bw0601/map?room=060202201_> and on Zoom Registration: https://www.pretix.osc.lmu.de/lmu-osc/multiverse-L/ Abstract: Pre-registering an analysis plan means committing to analytical steps without knowing the results of the research. Multiverse analysis means committing to multiple, defensible analytical steps and investigating the robustness of the results across analytical choices. Assuming that all listeners are familiar with 'The preregistration revolution' (Nosek et al., 2018, PNAS), after a brief introduction to the rationale for multiverse analysis, I will argue in this talk that the two proposed tools for the credibility revolution (pre-registration and multiverse analysis) should be used together. In person workshop: "Making the black box transparent: Multiverse analysis and visualizations in R" by Prof. Dr. Andrea Hildebrandt and Dr. Cassie Short (Carl von Ossietzky Universität Oldenburg) Friday March 15, 9:00-12:00, Munich, Leopoldstraße 13, room 2201<https://www.lmu.de/raumfinder/#/building/bw0601/map?room=060202201_> Registration: https://www.pretix.osc.lmu.de/lmu-osc/multiverse-W/ Abstract: To describe the multitude of researchers' methodological choices when analyzing data, Gelman and Loken (2013) coined the term "garden of forking paths". Multiple defensible alternative options are available for selection throughout the study design, data preprocessing and data analysis workflow. In line with a traditional analysis approach, researchers will select one sole workflow of defensible options and often do not specifically disclose how the decisions were made. However, a multiple comparison problem occurs even if only one constructed dataset following one single workflow of decisions is used for statistical inferences. The reason is that theoretically a large variety of workflows are possible, but researchers do not correct their hypothesis tests for potential comparisons that they did not explicitly carry out. Recently, statistical approaches have been proposed to explore and integrate multiple inferential results accumulated along forking paths. Multiverse analysis (Steegen et al., 2016) refers to repeated hypothesis testing on the multitude of datasets resulting from different defensible decisions regarding, for example, variable selection, categorization, transformation, outlier selection, etc. After combining all potential choices by simple rules of combinatorics, contradictory combinations are eliminated. Datasets created on the basis of the remaining set of combinations are then submitted to statistical analyses along a looped pipeline. Results provide as many outcomes of statistical tests as datasets created in the multiverse. These can then be visualized to understand how statistical conclusions depend on methodological decisions or they can be statistically integrated. In this workshop, unexperienced attendees who attended the lecture on the previous day will be guided through an implementation example of multiverse analyses on the R Software for Statistical Computing. There will be time for exercises and discussions. Workshop materials and necessary R packages will be shared in advance and participants are expected to join the workshop with their own laptops. Target audience: Scientists from any discipline who apply statistical models in the framework of regression analysis, without prior experience with multiverse analysis implementations. Prerequisites: Basic statistics (including GLM) and statistical programming skills in R are required. 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 Please note that I will only work in the afternoons from 08.01. to 28.02.2024.

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Research Assessment with responsible metrics and indicators, 13.03., Prof. Dr. Felix Schoenbrodt
by LMU Open Science Center News March 7, 2024

March 7, 2024

Dear open science enthusiasts Prof. Dr. Felix Schönbrodt, the LMU Open Science Center managing director, will present updates on the Coalition for the Advancement of Research Assessment (CoARA) working group he his leading to the Mannheim Open Science Meetup which will take place online. You are all welcome to join! Key Facts: * What? Research Assessment with responsible metrics and indicators: A CoARA working group * When? March 13th, 15:00 – 16:00 * Where? Online via Zoom, sign up here<https://uni-mannheim.zoom-x.de/meeting/register/u5cpcuCorDItH9cAUBwA5g8Xb3X…> * Abstract: "We do not always use indicators – but when we do, they need to be valid, reproducible, efficient and non-proprietary." With this motto, a working group of the "Coalition for the Advancement of Research Assessment" (CoARA) aims to gather responsible and efficient quality indicators to facilitate initial quality screening and assessment of research outputs in situations where in-depth qualitative assessment via peer-review is not feasible. The challenge is to preserve the advantages of indicators – objectivity and efficiency – while improving their validity. I will report on the approach and the current state of the working group, and will showcase an existing proposal for responsible indicators that has been developed in the German Psychological Society. 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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Workshop: Reproducible manuscripts with Quarto, 06.03. 14:00-16:00
by LMU Open Science Center News March 4, 2024

March 4, 2024

There are a few remaining seats for this week's workshop on reproducible manuscripts! Registration: https://www.pretix.osc.lmu.de/lmu-osc/quarto/ -- Dr. Malika Ihle (she/her) (pronounciation<https://namedrop.io/malikaihle>) LMU Open Science Center Coordinator https://www.osc.lmu.de<https://www.osc.lmu.de/> From: Malika Ihle Sent: Tuesday, 20 February 2024 08:30 To: 'lmu-osc(a)lists.lrz.de' <lmu-osc(a)lists.lrz.de> Subject: Workshop: Reproducible manuscripts with Quarto, 06.03. 14:00-16:00 Workshop: "Reproducible manuscripts with Quarto" by Dr. Florian Pargent and Florian Kohrt When: 06. March 2024, 14:00-16:00 Hybrid: room 3322, Leopoldstr 13, Munich and Zoom Registration: https://www.pretix.osc.lmu.de/lmu-osc/quarto/ Abstract: Quarto makes transparent and reproducible data analysis simple and fun. In a nutshell, Quarto lets you mix text written in markdown with chunks of executable code written in, e.g., R or Python. You can use it for interactive notebooks, and export to a large number of formats including HTML, PDF/LaTeX, Microsoft Word or PowerPoint, or even interactive websites. In this workshop, we cover the fundamentals, including the markdown syntax, code chunks and inline code, and the output formats available. We also go over citations, cross-referencing, and templating, which ultimately allow you to write academic papers entirely in Quarto. The self-paced tutorial for this workshop can be found here: https://florianpargent.github.io/Quarto_LMU_OSC/ Participants: The targeted audience are total novices or intermediate users of literate programming tools (e.g. Rmarkdown, Quarto), who program (at any level) in R, Python, or Julia, and preferentially use RStudio (although VS Code, Jupyter, Neovim or other text editor are also suitable). Ideally, participants already know of or use version control. Requirement: Participants must have their own laptop with admin access. Software will be installed as part of the workshop. -- 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 Please note that I will only work in the afternoons from 08.01. to 28.02.2024.

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Munich conference on Meta-Science and Replicability, Oct 28-31
by LMU Open Science Center News March 1, 2024

March 1, 2024

Dear colleagues, We are delighted to announce META-REP 2024 - the Conference on Meta-Science and Replicability in the Social, Behavioral, and Cognitive Sciences The conference will be held from October 28 to 31, 2024 in Munich as part of the DFG-funded Priority Program "META-REP" (https://www.meta-rep.uni-muenchen.de) It is open to everyone, from all scientific disciplines and backgrounds. The idea is to provide a platform for presenting new findings about replicability (and meta-science more broadly), to stimulate transdisciplinary exchanges, and discuss implications of these findings with other stakeholders (i.e., science communicators, delegates from funding agencies, academies, or science organizations). We cordially invite all scholars interested in meta-science to participate! Keynotes presenters are Daniel Lakens and Fiona Fidler. For more information about dates, deadlines, fees, etc., check out the conference website: https://www.conference2024.meta-rep.uni-muenchen.de Looking forward to seeing you in Munich in October! Mario Gollwitzer, Johannes Ziegler, and the META-REP program committee

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DataFest Germany 2024 - Call for Applications
by LMU Open Science Center News Feb. 28, 2024

Feb. 28, 2024

Attention Bachelor's and Master's students of all disciplines: Call for Applications: DataFest Germany 2024 Come and be part of the thrilling 7th edition of DataFest Germany, set to take place from April 5th to 7th, 2024, at the University of Mannheim. This event is a joint effort, brought to you by the Chair for Statistics and Data Science in Social Sciences, the Mannheim Center for Data Science, and the Ludwig Maximilian University in Munich. What is DataFest Germany? DataFest Germany is a premier data-based competition, commonly referred to as a "hackathon," held annually on a rotational basis between Mannheim and Munich. Coordinated in partnership with industry leaders and research institutions, this event provides Bachelor and Masters-level students from all disciplines with a unique opportunity to showcase their data analytics skills. How Does It Work? Teams of 3–5 students will have 48 hours to dive into a comprehensive dataset, revealed only at the beginning of the event. Through visualization, analysis, modeling, and more, participants will strive to uncover valuable insights. After the competition, teams will present their findings to a distinguished panel of judges comprising data experts from various fields. Prizes will be awarded across categories such as "Best Insight," "Best Visualization," and "Best Use of Outside Data." Support and Networking Opportunities: Throughout the competition, students will receive guidance from the University of Mannheim's experts in statistics and computer science, as well as professional consultants from external partner institutions. Moreover, participants will have the chance to connect with potential employers at the event's internal CareerFair, enhancing their career prospects in the dynamic field of data science. DataFest Germany is part of a global tradition, inspired by the work of the American Statistical Association. Since its inception at the University of California in 2011, DataFest has spread worldwide, with universities across the globe embracing its format. Join this celebration and register here: https://www.uni-mannheim.de/datascience/registration-datafest-germany-2024/ 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝗮𝗱𝗹𝗶𝗻𝗲: March 15, 2024 More information: https://www.uni-mannheim.de/en/datascience/events/datafest-2024/#c360669 For any questions, please feel free to contact: datafest(a)uni-mannheim.de<mailto:datafest@uni-mannheim.de> [cid:image003.png@01DA6A52.812EEE50] Kind regards on behalf of Dr. Luis Mejia Lopez (Coordinator of DataFest Germany 2024) Veronica Haas (she/her | de, en, it) Communications and Dissemination Officer [cid:image004.jpg@01DA6A52.812EEE50] University Library University of Mannheim D – 68131 Mannheim phone +49-621-181-2719 Website: www.berd-nfdi.de<http://www.berd-nfdi.de/> ...................................................................

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