LMU Open Science Center

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...

Create privacy-safe and shareable data today! 📊

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

Synthetic data are artificially generated datasets to mimic structure & patterns of real data.
✔️Test new ideas when real data are restricted
✔️Reproduce results with code from real data analyses
✔️Provide more info & visibility on your work
✔️Generate realistic datasets for educational purposes

How to promote data sharing for wider reuse when sensitive data cannot be shared? 🔐LMU OSC offers a tutorial on creating shareable & useful datasets when working with sensitive data.
Self-Paced Tutorial of the Day: Generating & Evaluating Synthetic Data in R 🤖 lmu-osc.github.io/synthetic-da...

Start organizing your research data the FAIR way today! 🔍

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

FAIR data management makes data Findable, Accessible, Interoperable, & Reusable
✔️Make sure data never gets lost
✔️Structure files and folders for easy collaboration
✔️Make data reusable by documenting it
✔️Metadata on hand to publish in a dedicated repository & get works found & cited

Struggling to keep your research data organized and reusable? 📂 The LMU Open Science Center has a tutorial to help bring order and accessibility to your datasets.
Self-Paced Tutorial of the Day: FAIR Data Management 📚 lmu-osc.github.io/FAIR-Data-Ma...

Take your power analyses to the next level and start learning today! 🚀

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

With simulations for complex study designs , you can:
✔️Gain confidence in your study’s robustness
✔️Investigate how multiple predictors interact in models
✔️Visualize how design changes affect statistical power
✔️Calculate your needed sample size

Need to calculate a sample size needed to detect an effect size before collecting data? 🧠LMU OSC's tutorial helps improve study design & conduct power analyses through simulation.
Self-Paced Tutorial of the Day: Simulations of Data in R for Advanced Power Analyses💪 lmu-osc.github.io/Simulations-...

Open Access redistributes ownership of scientific knowledge back to the academic community and the public who fund research. 📖

#OpenAccess #OpenAccessWeek #WhoOwnsOurKnowledge #OpenResearch #OpenScience

🔍Green Open Access- freely depositing your article in an institutional or discipline-specific repository, freely-accessible by readers.
💎Diamond Open Access- publishing model that is free for both readers and authors, supported by community-driven and non-commercial initiatives.

Key points:
📗From Green OA (self-archiving preprints/postprints) to Gold OA (publications are made openly available immediately by the publishers)
Open Policy Finder openpolicyfinder.jisc.ac.uk -check which version of your article, where & when publishers allow deposit of a freely accessible version

A close-up of a hand reaching towards books on a shelf. The sleeve of a beige pullover is visible. The open access “unlock” symbol is overlaid transparently on the image.

🌍 During our Open Science Summer School, Prof. Dr. Felix Schönbrodt's (@nicebread.bsky.social) lecture “Open Access, Preprints, Postprints - or ‘How to do Open Access For Free’,”🔓 explored ways researchers can control how their work is shared.
Full lecture: osf.io/5rsxb; Slides: osf.io/c2mrb