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Love Data Week 12.-16.02.2024 – Veranstaltungen der LMU München
by LMU Open Science Center News Feb. 8, 2024

Feb. 8, 2024

Love Data Week 2024 – Veranstaltungen der LMU München Die Love Data Week findet in diesem Jahr unter dem Motto „My Kind of Data“ vom 12. – 16. Februar statt und auch die Universitätsbibliothek der LMU München beteiligt sich wieder mit Veranstaltungen an der Aktionswoche. Mehr Infos zu Inhalten und Anmeldung gibt es hier: Montag, 12.02.2024, 14:00-15:00 Uhr Introduction to Research Data Management Abstract: Research data are a central aspect of academic work and research data management (RDM) is playing an increasingly important role in everyday research. But what exactly is meant by research data and how can effective RDM be structured? This online event will use the research data lifecycle and FAIR principles to introduce the basics of RDM and will highlight tools available to help you plan, handle, and publish data. Sprache: englisch Teilnahmebedingungen: öffentlich und alle Zielgruppen Registrierung: https://lmu-munich.zoom-x.de/meeting/register/u5Yrfu2qpz4tEtXnX-EHhvsWyVsJ_… Donnerstag, 15.02.2023, 10:00 – 11:00 Uhr Datenkompetenz in Wissenschaftseinrichtungen: Wie Bibliotheken ihre Nutzerinnen und Nutzer im Umgang mit Daten unterstützen können Abstract: Big Data und Data-Driven-Science spielen in der Forschung eine immer wichtigere Rolle. Die Daten, auf denen diese Forschung basiert, sind jedoch oft nicht zugänglich oder nicht nachnutzbar. Bibliotheken können hier eine wichtige Rolle spielen, indem sie Forschungsdaten verwalten und zugänglich machen. Im Vortrag werden zunächst die Herausforderungen des Forschungsdatenmanagements beleuchtet. Anschließend wird die Rolle der Bibliotheken in diesem Bereich diskutiert. Im zweiten Teil der Veranstaltung wird am Beispiel der Universitätsbibliothek der LMU München gezeigt, welche Voraussetzungen an Bibliotheken für den Aufbau einer FDM-Beratung bestehen und wie diese dazu beitragen können, einen gut funktionierenden Beratungsservice zu etablieren. In einer Art “Werkstattbericht” wird ein Einblick in die Arbeit und Workflows des Beratungsteams der LMU gegeben. Ein Fokus liegt dabei auf den Modellen, die sich bei der fachspezifischen Beratung bewährt haben. [Eine gemeinsame Veranstaltung der Universitätsbibliotheken der FAU Erlangen-Nürnberg und der LMU München] Sprache: deutsch Teilnahmebedingungen: öffentlich (Zielgruppe: Mitarbeitende in Bibliotheken und Wissenschaftseinrichtungen) Registrierung: https://lmu-munich.zoom.us/meeting/register/u5ckcOmppjIjHNVWJcjapYGvRlNnF6p… Freitag, 16.02.2024, 11:00-12:00 Uhr Wissenschaftliches Arbeiten – effiziente Recherche und strukturiertes Datenmanagement Abstract: Wissenschaftliches Arbeiten gehört im Studium einfach dazu und keiner kommt so wirklich drumherum. Die erste Hausarbeit bzw. vielleicht sogar die Bachelorarbeit steht an – Was tun? Wie anfangen? Woher die Informationen? Wie das eigene Vorgehen und die Daten auch langfristiger verständlich strukturieren? Diese Veranstaltung kann Ihnen wichtige Vorgehen und Tipps an die Hand geben, um das wissenschaftliche Arbeiten effizient und strukturiert anzugehen. Im ersten Teil der Veranstaltung wird auf die Informationsrecherche in Internet, Bibliothekskatalog und Datenbank eingegangen und dabei die Kunst des effizienten Recherchierens vermittelt. Der zweite Teil bezieht sich auf die strukturierte Datenablage bzw. das Datenmanagement. Themen hier sind insbesondere eine entsprechende Dateiablage und -benennung, sowie die Datensicherung durch die Einhaltung von Backup-Regeln. Sprache: deutsch Teilnahmebedingungen: öffentlich (Zielgruppe: Bachelorstudierende) Registrierung: https://lmu-munich.zoom-x.de/meeting/register/u5UldeyoqTgvEtBSLrylN8Rlb1IB2… Ergänzend zu den Veranstaltungen wird die Love Data Week 2024 auch in den sozialen Medien begleitet: https://twitter.com/fdm_bayern/ und https://openbiblio.social/@fdm_bayern Ein ausführliches Programm zur Love Data Week gibt es bei FDM-Bayern (https://www.fdm-bayern.org/projekte/ehumanities-interdisziplinaer/love-data…) sowie forschungsdaten.info (https://forschungsdaten.info/fdm-im-deutschsprachigen-raum/love-data-week-2…) Wir freuen uns über eine Teilnahme und wünschen schon einmal eine schöne Love Data Week! Das Team der FDM-Beratung der UB der LMU München (forschungsdaten(a)ub.uni-muenchen.de<mailto:forschungsdaten@ub.uni-muenchen.de>)

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two student assistant positions to be filled immediately: Peer-to-Peer Junior Trainer for Reproducible Data Analysis Workshop
by LMU Open Science Center News Feb. 6, 2024

Feb. 6, 2024

Dear reproducible data analysis enthusiasts, The LMU Open Science Center is looking to hire as soon as possible one or two student assistants (HiWi) for a project funded by the Berkeley Initiative for Transparency in the Social Sciences (BITSS) and awarded to OSC member Dr Anne-Kathrin Kleine. Please do circulate the announcement in attachment to bachelor or masters students (from LMU or elsewhere in Germany) who may be interested in becoming Peer-to-Peer Junior Trainer for Reproducible Data Analysis Workshop. Thanks and 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 (ask me for an invite link!) 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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Workshop: theory formalization 23.02. PM
by LMU Open Science Center News Feb. 2, 2024

Feb. 2, 2024

Workshop: From stories to models - (how) can we formalize "narrative theories"? by Prof Daniel Leising from Technische Universität Dresden When: 23.02.2024, 13:00-17:00 Hybrid: room 3322, Leopoldstr 13, Munich and Zoom Registration: https://www.pretix.osc.lmu.de/lmu-osc/formalise-theory/ Abstract: There is growing consensus that psychology and other fields need to better specify their theories, and formalization offers a promising path to achieving that goal. I will briefly talk about the advantages of formal models over narrative ones, and present a few examples from my own lab in which such a formalization was attempted more or less successfully. However, the largest part of the workshop shall be reserved for participants working on formal versions of narrative theory paragraphs that they themselves pick and bring along. As this is likely to be a relatively new kind of challenge to most participants, and given that formalization can actually be fairly difficult, the overall objective is not to achieve perfect results, but rather to get people interested in this crucial type of work, and to help them overcome initial hesitations they may have to invest their valuable time and energy into it. Target audience: scientists of all career levels (students to PIs) from the fields of psychology, philosophy, sociology, etc. Agenda: 60 m Intro ; 15 m Break ; 75 m First Round Practice ; 15 m Break ; 75 m Second Round Practice Logistics: There are no prerequisites. The format of the session is hybrid (you can attend online or in person). The event will be held in English, unless there are only German native speakers in the room. Participation in the workshop is free and open to all. Priority will be given to, in order, members of Departments sponsoring the Open Science Center (Department of Psychology, Business Administration, Biology), other LMU members, and non-LMU members. Non-members will receive confirmation whether their attendance is possible at least 2 days before 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 (ask me for an invite link!) 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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new LMU guidelines on safeguarding good research practices
by LMU Open Science Center News Jan. 30, 2024

Jan. 30, 2024

For the attention of LMU-based community members: The LMU recently implemented the "Guidelines for Safeguarding Good Scientific Practice<https://www.dfg.de/resource/blob/174052/1a235cb138c77e353789263b8730b1df/ko…>" (Aug 2019) of the German Research Foundation (DFG) - the so-called "Kodex". This is a mandatory step for all institutions that want to be eligible for DFG funding. The derived regulations (see Ordnung der Ludwig-Maximilians-Universität München zur Sicherung guter wissenschaftlicher Praxis vom 17. November 2023<https://cms-cdn.lmu.de/media/contenthub/amtliche-veroeffentlichungen/gwp-or…>, in German), are legally binding for all academics, researchers, research support staff, teachers, and students at LMU. The new guidelines are noticeably progressive about Open Science and Responsible Research Assessment. Only the original text in German prevails, but here is our English summary: Evaluation of researchers: * Academic performance assessment is done in a multidimensional way, and research performance should primarily be assessed according to qualitative standards. When quantitative indicators are included in an overall assessment, this must be done in a differentiated and reflected manner. In addition to research performance, other aspects can be considered. (§6) * An author is anyone who has made a genuine, comprehensible contribution to the content of a scientific text, data or software publication. (§14) Appropriate level of documentation and standards to allow reproduction: * Reproducible methods must be used. (§11) * When research software is developed, its source code must be documented. (§12) Appropriate level of documentation and standards to allow replication: * All information relevant to the production of a research result must be documented comprehensively to enable replication. (§7 and §12) * If specific professional recommendations exist for review and evaluation, the results must be documented in accordance with these respective specifications. (§12) * Individual results that do not support the hypothesis must also be documented; a selection of results is not permitted. (§12) Public access to research results: * Apart from specific exceptions, all findings should be made public. For this, they must be described in a detailed and comprehensible manner which includes making available the research data, materials and information on which the results are based, as well as the methods used and the software employed (including appropriately licensed self-written software) according to the FAIR principles*. (§13) * Data, material, software made publicly accessible must be appropriately archived, usually for a period of 10 years (§17). *Personal note: The FAIR principles aren't defined further, but here what it implies: - Findable: metadata should be deposited in a searchable repository and be assigned a permanent identifier - Accessible: the data is either open, or accessible upon some authentication process, or closed, but with open metadata. - Interoperable: the data is described with a standard terminology (so the dataset can be merged with other ones) and saved in a stable file format - Reusable: the data is richly documented and is accompanied by a data usage license See https://www.go-fair.org/fair-principles/ for more information. Please feel free to disseminate this information as needed in your department and working groups. 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 (ask me for an invite link!) 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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Hacky Hour TODAY: "Improve the readability of your code"
by LMU Open Science Center News Jan. 29, 2024

Jan. 29, 2024

Hacky Hour TODAY: "Improve the readability of your code" Work on your problems related to the session's theme with the help of others. Anyone, from any level and discipline is welcome! When: Monday Jan 29, 2024, 16:30-18:00 Where: in person at Wikipedia Munich, Angertorstraße 3 Possible resources for your hack: Beginner: * https://osf.io/yprsq/ (50 min video recording of a practical lecture on software readability) * guidelines for code reviewers of any level<https://github.com/OxfordCodeReviewNet/forum/blob/master/guidelines_for_rev…> Advanced: * https://doi.org/10.3233/JNR-220002 (article) 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 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 -- 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 (ask me for an invite link!) 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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Podiumsdiskussion: "Wie robust kann/muss Wissenschaft sein?" 06.02. 18:30 BadW
by LMU Open Science Center News Jan. 22, 2024

Jan. 22, 2024

Podiumsdiskussion: "Wie robust kann/muss Wissenschaft sein?" Wann: 06.02.2024 um 18:30 Wo: Bayerische Akademie der Wissenschaften, Alfons-Goppel-Str. 11 (Residenz), 80539 München Anmeldung: https://meta-rep.de/badw/ Live-Stream: https://badw.de<https://badw.de/> Die Sozial-, Verhaltens-, Lebens- und Kognitionswissenschaften sind seit einiger Zeit mit dem Problem konfrontiert, dass wissenschaftliche Ergebnisse häufig wenig robust und wiederholbar sind. Die Auswirkungen von Unsicherheit und Wiederholbarkeit von Forschungsergebnissen auf Fragen der Wissenschaft, Gesellschaft und Öffentlichkeit werden Hauptgegenstand der Diskussion sein: Wie robust können wissenschaftliche Befunde unter den aktuellen Voraussetzungen sein? Wie verlässlich müssen oder sollen Ergebnisse sein, um sie öffentlich zu kommunizieren und gegebenenfalls zum Anlass für gesellschaftliche oder politische Maßnahmen zu machen? Diskutieren werden Vertreterinnen und Vertreter der Wissenschaft, der Forschungsförderung (Deutsche Forschungsgemeinschaft) und der Medien (Süddeutsche Zeitung). Die Veranstaltung ist öffentlich und richtet sich an Interessierte mit und ohne wissenschaftlichen Hintergrund. Veranstalter sind das junge Kolleg der Bayerischen Akademie der Wissenschaften und das von der Deutschen Forschungsgemeinschaft geförderte Schwerpunktprogramm "META-REP". Veranstaltungsort ist die Bibliothek der Bayerischen Akademie der Wissenschaften in München (Anmeldung über: https://meta-rep.de/badw<https://meta-rep.de/badw/>). Falls Sie nicht vor Ort sein können, bieten wir einen Live-Stream an, Informationen hierzu finden Sie unter https://badw.de<https://badw.de/> (zum Live-Stream ist keine Anmeldung erforderlich). META-REP: https://www.meta-rep.uni-muenchen.de/index.html Kontakt: meta-rep.coordination(a)psy.lmu.de<mailto:meta-rep.coordination@psy.lmu.de> [Johannes Ziegler]

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members’ bibliography
by LMU Open Science Center News Jan. 17, 2024

Jan. 17, 2024

Dear OSC community members We have created a bibliography of OSC members*’ open science and meta-research work, which you can access as an interactive webpage<https://www.resources.osc.lmu.de/bibliography/>, an online Zotero library<https://www.zotero.org/groups/5213376/lmuopensciencecenter_memberspublicati…>, or a pdf (in attachment). We hope this will inspire further collaborations between our members, provide resources for journal clubs in your respective units, and showcase the emergence of the meta-research field! [https://lh7-us.googleusercontent.com/pCT2zu4T1r-ARrRboDwuvri0n-QdpEfAfaDdiy…] Current network of OSC members’ co-authorships We will continue to update the website with new analyses. If you have any feedback or feature requests, please let us know! *Some of you are ‘official’ OSC members as you expressed that you actively support the goals of the OSC. If you are not an ‘official’ OSC member but would like to become one, please read https://www.osc.uni-muenchen.de/join/index.html and contact malika.ihle(a)lmu.de<mailto:malika.ihle@lmu.de>. OSC members have the opportunity to network with each other and shape the activities offered by the OSC. The OSC, in turn, benefits from having your name to support the open science agenda at LMU Munich when discussions about the maintenance of the Center arise. We currently have 96 members - we will offer a free computational reproducibility check for a manuscript from our 100th member! 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 (ask me for an invite link!) 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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workshop today: "Version control with Git and GitHub within RStudio", 15.01.2024, 13:30-16:30
by LMU Open Science Center News Jan. 15, 2024

Jan. 15, 2024

Dear computational reproducibility enthusiasts There were quite a few last-minute cancellations for our version control workshop this afternoon. After going through our waiting list, there are still a few online and in person seats available again; register here: https://www.pretix.osc.lmu.de/lmu-osc/version-control/ 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 (ask me for an invite link!) 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. From: Malika Ihle Sent: Monday, 18 December 2023 09:59 To: 'lmu-osc(a)lists.lrz.de' <lmu-osc(a)lists.lrz.de> Subject: workshop: "Version control with Git and GitHub within RStudio", 15.01.2024, 13:30-16:30 Hybrid workshop: "Version control with Git and GitHub within RStudio" By OSC Fellows & Coordinator When: 15.01.2024, 13:30-16:30 Where: Leopoldstr 13 Munich, room 3322, and on Zoom Registration: https://www.pretix.osc.lmu.de/lmu-osc/version-control/ Abstract: Are you working within RStudio to wrangle and analyses your data? Join this 3 hours workshop to learn how to track and manage changes in your code so you never have to save multiple copies of your script again (e.g. before deleting a piece of code or trying a new function, or just for back-up!). Version control with Git and GitHub will make your workflow cleaner and more reproducible and allow you to code (or even write manuscripts) collaboratively. This workshop will focus on how to use Git and Github within the RStudio IDE and consists in facilitated self-paced tutorials: https://github.com/MalikaIhle/Introduction-RStudio-Git-GitHub and https://github.com/MalikaIhle/Collaborative-RStudio-GitHub that include the setting up and configuring of all software required. Participants: The targeted audience are novices regarding version control / Git, but who use RStudio at least occasionally. No R knowledge is necessary. Requirement: Participants must have their own laptop with admin access. Software will be installed as part of the workshop. No previous knowledge necessary. Instructors: Pat Callahan (Epidemiology), Felix Henninger (Statistics), Alp Aksu (Psychology), and Dr. Malika Ihle (LMU Open Science Center coordinator) Logistics: The format of the session is hybrid (you can attend online or in person). The event will be held in English, one-on-one support can be done in German or English. Participation in the workshop is free and open to all. Priority will be given to, in order, members of Departments sponsoring the LMU Open Science Center (Department of Psychology, Faculty of Business Administration, Faculty of Biology), other LMU members, and non-LMU members. Non-members will receive confirmation whether their attendance is possible at least 2 days before 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

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Call for Application: Apply now for Data Science for Social Good 2024
by LMU Open Science Center News Jan. 11, 2024

Jan. 11, 2024

Dear all, Prepare for an exciting prospect in the upcoming year! We are thrilled to announce the return of the Data Science for Social Good (DSSG) program in 2024. Applications are officially open, and we invite you to be a part of this transformative experience. What is DSSG? Data Science for Social Good (DSSG) is a two-month summer program where two teams of fellows collaborate on real-world data science projects, aiming to create a meaningful impact for the social good. Duration: 2-month summer program, running from August 1 to September 30, 2024. Location: University of Munich (LMU), Germany. Who can apply: Graduates, PhD students, Master's students, or Bachelor's students nearing the end of their studies. We welcome diverse, interdisciplinary teams. Regardless of your background -whether it's in data science, social sciences, or another field - if you are passionate about data science, coding, and making a positive impact, your application is a perfect fit. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: February 2nd, 2024 What we offer: Full-Time Scholarship: Receive financial support throughout the fellowship. Accommodation: Enjoy worry-free housing in the vibrant city of Munich. Invaluable Experience: Make a real impact on the social good. Guidance: Benefit from support provided by industry-experienced technical mentors and project managers. Educational Lectures: Enhance your knowledge through supplementary program lectures. And much more! What we expect: Full-Time Commitment: Dedicate your time full-time for the program's duration. In-Person Presence: Attend on-site in Munich, Germany (the program will NOT be conducted virtually). Visa or Citizenship: Due to our limited capacities and minimal visa process experience, we regret that we cannot assist in obtaining a visa. However, we are delighted to provide any necessary confirmation or invitation letters as needed. Skills and Expertise: Possess skills in machine learning, data science, or coding, as well as in the natural or social sciences (no need to be a coding wizard). Good English Skills: The program will be conducted in English. Motivation and Enjoyment! For a comprehensive overview and additional details, explore our official website: https://sites.google.com/view/dssgx-munich-2023/startseite. Here, you'll find everything you need to know about the program, application process, and impactful projects from the previous year. Ready to take the next step toward making a positive impact? Don't miss your chance to be a part of DSSG 2024. Head over to our website and submit your application. Should you have any inquiries or require further information, please do not hesitate to contact us at dssgx(a)stat.uni-muenchen.de<mailto:dssgx@stat.uni-muenchen.de> We eagerly await your application. Best regards, DSSGx Munich 2024 Team ................................................................... Veronica Haas (she/her | de, en, it) Communications and Dissemination Officer [cid:image002.jpg@01DA4467.09C84110] 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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online workshops on open methods 29.01.-02.02.
by LMU Open Science Center News Jan. 10, 2024

Jan. 10, 2024

Dear open methods enthusiasts, Our colleagues from the QUEST Center for Responsible Research in Berlin are organizing a 'Love Methods Week' between 29.01. and 02.02 on the theme 'Love your methods before you love your data', a few weeks prior to the global 'Love Data Week'. On the menu, several online workshops to learn how to: * Write a reusable, step-by-step protocol * Deposit a reusable step-by-step protocol in a public repository, or publish a method or protocol in a peer-reviewed journal * Version or fork a reusable step-by-step protocol * Write a study design protocol * Pre-register a study * Cite your reusable step-by-step protocol, study design protocol, or pre-registration in your research paper * Use reporting guidelines to improve your methods reporting * Use research resource identifiers (RRIDs) to tell others exactly what materials you used * Use methodological shortcut citations responsibly * Cite your protocols and describe your methods when sharing your data More information and registration: https://www.bihealth.org/en/notices/love-methods-week 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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