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Posts by LMU Open Science Center
💡 What's the solution? To navigate these reproducibility challenges, journals should require that data and analysis materials be systematically provided and archived long-term. In turn, research data providers should clearly identify data versions and keep older versions permanently available.
📚 Proud to share a new LMU study led by OSC Member Prof. Dr. Katrin Auspurg! It shows that reproducibility in social science is often limited by missing or poorly documented materials.
#OpenScience #LMU #Reproducibility #SocialScicence
#LoveReplicationsWeek #Replication #Reproduction #OpenScience
@forrt.bsky.social @aufdroeseler.bsky.social @fialalenka.bsky.social @danielnuest.bsky.social @lukaswallrich.bsky.social @susanne-adler.bsky.social
Join online to learn how to:
🔹 Do reproduction and replication studies
🔹 Choose and justify replication targets
🔹 Collaborate with students on replication projects
🔹 Write reproducible reports and get certified reproducible results
Reliable research starts with results that can be reproduced! ✅
Dark gray banner with “LOVE REPLICATIONS WEEK” in bold white and gold text and a heart-and-gear logo below the text.
We ♥ Replications!
The OSC is excited to be a partner in the upcoming LOVE REPLICATIONS WEEK 2026: an online event where you can learn about doing reproduction and replication studies 📚
When? Next week! March 2-6, 2026
Find out more about the program and register here: forrt.org/LoveReplicat...
first slide of presentation with OSC logo, and social media handles, name of presenter. the title says From the replicability crisis to credible science, and has three badges 1. preregistered: 100% p-hacking free, 2. open data: Here, check our numbers, 3. open materials: here's how you can replicate our results
Taught bavarian center for cancer research students about
Preregistration → more reliable research
Reproducible workflows
FAIR data managmt → higher-quality, reusable data
Yes, FAIR & sensitive medical data are compatible
Slides osf.io/p9sev/files/...
Tutorials lmu-osc.github.io/training/sel...
Red card with pixelised text in hearts: use, study, share, improve. I love Free Software ilovefs.org CC.BY-SA sticker design from the “I love Free Software” campaign of the Free Software Foundation Europe"
We ♥ Free Software!
On Love Free Software Day, huge thanks to the maintainers of tools we rely on and teach about daily: OpenAlex, R, Quarto, Git, renv, Zotero, RDMO, formR..
Free software is collective infrastructure for open, reproducible research. Thank you!
#OpenScience #FOSS #Reproducibility
Text of the post is in an image with the logos of: - Love Data Week (red heart made of flying pixels for the O) - LMU Munich (green square) - LMU Open Science Center (LMU green open book) - University Library (the letters UB in grey and blue) The text is in the center of a gradient of red circles matching the Love Data Week logo.
Celebrating Love Data Week, we presented an introduction to Open Data & Research Data Management at LMU Munich, highlighting practical resources and real-world data stewardship experiences.
📽️ Recording & slides: osf.io/ytc7m/
Contributions: @lmu.de Research Funding Unit, Library, and SFB 1369.
💡Mention of esp. interesting booths: siibra-explorer booth, BIDS booth, Knowledge and Data services booth, & the Modeling and Simulation booth.
Reema’s top highlight was finally meeting the people behind the tools she works with every day!
#EBRAINSSummit2025 #EBRAINS #OpenScience #FAIRData #LMUOSC
Highlights cont'd:
🌐BRiDGE project (bridge.incf.org/brain-resear...) on making data and tools interoperable across international brain initiatives
📊GSoC's project (gitlab.ebrains.eu/ri/projects-...) to integrate BIDS-compliant neuroimaging datasets into the EBRAINS Knowledge Graph
Summit Highlights:
🔑Neurobagel’s (neurobagel.org) approach to metadata hubs, creating an open-source ecosystem for federated discovery without centralising everything
💻@mschrimpf.bsky.social on NeuroAI, a field that merges neuroscience and AI, & @brain-score.bsky.social's work on model benchmarking
Female presenter with long, dark hair is seen smiling and wearing a grey pullover and black pants. She is holding her name card and standing in front of a colorful informational poster for the EBRAINS Summit 2025 titled “An interoperability pipeline for sharing FAIR non-human primate data through EBRAINS”.
A male speaker stands at a podium on a stage. Behind him is a large presentation screen showing a blue network-style graphic with the phrases “Duplication represents research waste,” “FAIR DATA,” and “Contribute to solving the replication crisis.” The left and right sides of the screen are green with EBRAINS’ logo and “#EBRAINS Summit 2025” visible. Audience members are seen seated in front of the stage.
LMU OSC’s FAIR Data Management expert, Reema Gupta, presented her team's NHP-EBRAINS project, an open-source pipeline making messy multi-lab primate electrophysiology data more FAIR & usable, at the EBRAINS Summit 2025 (@ebrains.bsky.social) 🧠
Check out the project: gin.g-node.org/NHPRestingSt...
These skills and themes will be applied to an agile course on Research Data Management 📊.
Workshops like this help us continuously improve how we teach Open Science and empower researchers through better learning design.
#OpenScience #InstructionalDesign #LMUOSC
📘ADDIE- instructional design framework that stands for: Analysis, Design, Development, Implementation, and Evaluation.
🔄Agile Instructional Design- an approach to creating materials that emphasize collaboration and continuous feedback.
🌱Bloom’s taxonomy- a framework that categorizes learning goals.
A group of workshop participants are seen smiling together in front of a white screen with the words “Let’s focus on quality!” written on it.
Prof. Dr. Felix Schönbrodt (@nicebread.bsky.social), LMU OSC's Managing Director, joined a workshop on “Instructional Design”, held by Antje Manske at the Leibniz Institute for Psychology (@zpid.bsky.social). Key topics included: ADDIE Learning Model, Agile Instructional Design, & Bloom’s taxonomy:
We gratefully acknowledge our funder, the Volkswagen Foundation, for believing in the project & advancing open, responsible, & reproducible research practices.
@lmumuenchen.bsky.social
#OpenScience #OpenResearch #LMUOSC
It's been inspiring to see the sustained motivation & progress of our first “switched” group. Thanks to Alberto Villagran, OSC Fellow & cBRAIN’s Computer Scientist, & Anja Betz, cBRAIN’s Lab Manager, for their invaluable support throughout. Thanks to Reema Gupta, for her FAIR data sharing expertise.
Picture taken at the NICUM festival on Aug 1, 2025, where the cBRAIN group’s Switch to Open program achievement was introduced. Two presenters, Dr. Malika Ihle and Alberto Villagran, stand on either side of a screen displaying the title ‘Switch to Open Program,’ their names, and logos from LMU Open Science Center, cBRAIN, and the Volkswagen Foundation
We shared the lab’s achievement at the Neuroimaging Core Unit Munich Summer Festival to encourage other research groups to adopt and adapt similar practical guides (www.linkedin.com/feed/update/...)
Team members reflected on their individual projects, identifying which checklist items were essential, recommended, or aspirational for each stage of the research cycle. Together, we built a group consensus and outlined a timeline of next steps toward the lab’s ideal open research standards.
Diagram of the open research cycle divided into four quadrants: plan and design; collect and manage; analyse and collaborate; preserve and share. Each quadrant contains checklists of tasks in white boxes, with colored checkpoint boxes placed between quadrants to mark group review moments. A tailored version is included in the lab’s handbook and printed for participants in the Switch to Open program as a reference for each project.
📚Delivered training & consultations, aided by self-paced tutorials: github.com/lmu-osc
📄Created & published a standard open research practice guide for new projects & as an onboarding doc: doi.org/10.5281/zeno...
🔄Reviewed progress & revisited our open research cycle diagram: doi.org/10.5281/zeno...
Group photo taken during the cBRAIN lab’s offboarding session for the Switch to Open program of the LMU Open Science Center. cBRAIN team members are standing close together and smiling. On a screen mounted on the wall is displayed a colorful workflow chart and two online participants. In front of the group, a large white table holds glasses of water, sheets of paper, mobile phones, water bottles, and various snacks.
Exciting news! The cBRAIN lab🧠, led by Inga Koerte at LMU Klinikum München (LMU Munich Hospital), has completed our Switch to Open Program (SwOP) led by @malikaihle.bsky.social!
Here's a recap of what we did over the last several months:
By sparking these conversations, we set out to explore how openness and AI can evolve together 🌍
#ArtificialIntelligence #AI #OpenSience #OpenResearch #LMUOSC
🔒 Where do we draw the line between openness & privacy? A discussion on ethics in AI focusing on the issue of sharing health data openly while protecting patient privacy. Additionally, if AI possesses agency, then what would concepts like responsibility and accountability for AI look like.
🧠 How can openness help us confront human biases? Another discussion centered around human biases, such as the unconscious bias to interpret data in ways that confirm one’s hypothesis, and how Open Science tries to mitigate these biases.
⚖️Can we balance openness and large amounts of new information? A participant expressed concern that Open Science would cause overwhelming amounts of materials to be shared. An important focus of open science should then be increasing the share of reliable science, emphasizing quality over quantity.
An image of a female presenter wearing a white jersey under a black blazer and black pants stands in front of a whiteboard with white and green papers stuck on to it. To the left of the board is a green and white banner with the words “OSC; Open Science Center”. To the right of the speaker, a table can be seen with papers and a coffee cup on it.
The LMU OSC participated in AI-Hub@LMU’s event "KI-Symposium 2025” 💡We invited visitors of our booth to reflect on the intersection of AI 🤖 & Open Science 🔍 encouraging dialogue around AI & how it affects Research Quality, Reproducible Research, & FAIR Data Sharing.
Recap of some discussions:
Check out this tutorial to start making your research data more understandable and shareable! 💡
This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.
#OpenScience #OpenResearch #Tutorial #OSCTutorials
Data documentation provides contextual data to understand & reuse data. Data validation verifies collected data before use.
✔️Create data dictionaries
✔️Spot data quality issues with summary statistics
✔️Validate data to find errors before analysis
✔️Make reports that combine documentation & analysis
How to ensure your research data is error-free & understandable by other users & your future self?🗂️ This tutorial by LMU OSC is on documenting & validating data in R to make it more reusable.
Self-Paced Tutorial of the Day: Data Documentation & Validation using R📑 lmu-osc.github.io/data-documen...