#lmuosc — Public Fediverse posts

We’re excited to share that the LMU Open Science Center (OSC) will be presenting a poster at #FOR2026Munich - The Future of Open Research: Reliable, Responsible, Equitable. Happening from May 4 to 6, 2026, at the Institute for Advanced Studies, Technical University of Munich (https://opensciencestudies.eu/for-2026-conference/)

Our poster can be viewed and downloaded here: https://doi.org/10.5281/zenodo.19626906. It highlights our efforts to embed open research practices at LMU Munich and beyond through a multi-angle approach.
We focus on two key initiatives:
- Switch-to-Open: a structured training and consultation program that helps research groups integrate open research practices across the full project lifecycle, from planning and data management to reproducible analysis and FAIR sharing.
- Train-the-Trainer: a program designed to equip researchers and research support staff with the pedagogical skills needed to teach and advocate for Open Research practices and tools within their own communities.

These initiatives are built on a broader foundation of accessible learning opportunities, including:
📚 A free self-learning catalog of online tutorials and lecture recordings (https://www.osc.lmu.de/training/self-learning.html)
🎓 Regular workshops throughout the year
☀️ Our annual Open Science Summer School (https://lmu-osc.github.io/Open-Science-Summer-School-2026/)

Together, these initiatives aim to make open research practices more practical, scalable, and sustainable across disciplines.

If you’re attending #FOR2026Munich, feel free to stop by and chat with us about training, institutional change, and building cultures of openness in research!

#OpenScience #OpenResearch #LMUOSC #LMU #FOR2026 #FOR2026Munich

We’re excited to share that the LMU Open Science Center (OSC) will be presenting a poster at #FOR2026Munich - The Future of Open Research: Reliable, Responsible, Equitable. Happening from May 4 to 6, 2026, at the Institute for Advanced Studies, Technical University of Munich (https://opensciencestudies.eu/for-2026-conference/)

Our poster can be viewed and downloaded here: https://doi.org/10.5281/zenodo.19626906. It highlights our efforts to embed open research practices at LMU Munich and beyond through a multi-angle approach.
We focus on two key initiatives:
- Switch-to-Open: a structured training and consultation program that helps research groups integrate open research practices across the full project lifecycle, from planning and data management to reproducible analysis and FAIR sharing.
- Train-the-Trainer: a program designed to equip researchers and research support staff with the pedagogical skills needed to teach and advocate for Open Research practices and tools within their own communities.

These initiatives are built on a broader foundation of accessible learning opportunities, including:
📚 A free self-learning catalog of online tutorials and lecture recordings (https://www.osc.lmu.de/training/self-learning.html)
🎓 Regular workshops throughout the year
☀️ Our annual Open Science Summer School (https://lmu-osc.github.io/Open-Science-Summer-School-2026/)

Together, these initiatives aim to make open research practices more practical, scalable, and sustainable across disciplines.

If you’re attending #FOR2026Munich, feel free to stop by and chat with us about training, institutional change, and building cultures of openness in research!

#OpenScience #OpenResearch #LMUOSC #LMU #FOR2026 #FOR2026Munich

LMU Open Science Center’s FAIR Data Management expert, Reema Gupta, attended the EBRAINS Summit 2025 (@ebrains) with her team to present their NHP-EBRAINS project, an open-source pipeline turning messy multi-lab primate electrophysiology data into something actually FAIR and usable! 🧠

More details on NHP-EBRAINS here: https://gin.g-node.org/NHPRestingState/NHP-EBRAINS/wiki/

Some highlights from EBRAINS Summit 2025:
- Neurobagel’s (https://neurobagel.org/) approach to metadata hubs - creating an open-source ecosystem for distributed dataset harmonization and search for federated discovery without centralising everything.
- Martin Schrimpf (@mschrimpf) on NeuroAI, an interdisciplinary field merging neuroscience and AI, as well as the work Brain Score (https://www.brain-score.org/) is doing regarding model benchmarking.
- The BRiDGE project (https://bridge.incf.org/brain-research-international-data-governance-exchange) on making data and tools interoperable across international brain initiatives - important for roles at LMU labs that involve collaborating with data on international projects.
- Google Summer of Code (GSoC) (https://gitlab.ebrains.eu/ri/projects-and-initiatives/bids2ebrains/bids2ebrains) project on automating BIDS-to-KnowledgeGraph registration- this project aims to integrate BIDS-compliant neuroimaging datasets from external repositories into the EBRAINS Knowledge Graph.

💡A quick recap on some especially interesting booths at the summit:
The siibra-explorer booth (https://ebrains.eu/data-tools-services/tools/siibra-explorer), BIDS booth (https://bids.neuroimaging.io/index.html), Knowledge and Data services booth (https://ebrains.eu/data-tools-services/data-knowledge), and the Modeling and Simulation booth (https://ebrains.eu/data-tools-services/modelling-simulation).

Reema’s top highlight was finally meeting and having insightful conversations with the people behind the tools she works with every day and uses to build her project!

#EBRAINSSummit2025 #EBRAINS #OpenScience #FAIRData #LMUOSC

LMU Open Science Center’s FAIR Data Management expert, Reema Gupta, attended the EBRAINS Summit 2025 (@ebrains) with her team to present their NHP-EBRAINS project, an open-source pipeline turning messy multi-lab primate electrophysiology data into something actually FAIR and usable! 🧠

More details on NHP-EBRAINS here: https://gin.g-node.org/NHPRestingState/NHP-EBRAINS/wiki/

Some highlights from EBRAINS Summit 2025:
- Neurobagel’s (https://neurobagel.org/) approach to metadata hubs - creating an open-source ecosystem for distributed dataset harmonization and search for federated discovery without centralising everything.
- Martin Schrimpf (@mschrimpf) on NeuroAI, an interdisciplinary field merging neuroscience and AI, as well as the work Brain Score (https://www.brain-score.org/) is doing regarding model benchmarking.
- The BRiDGE project (https://bridge.incf.org/brain-research-international-data-governance-exchange) on making data and tools interoperable across international brain initiatives - important for roles at LMU labs that involve collaborating with data on international projects.
- Google Summer of Code (GSoC) (https://gitlab.ebrains.eu/ri/projects-and-initiatives/bids2ebrains/bids2ebrains) project on automating BIDS-to-KnowledgeGraph registration- this project aims to integrate BIDS-compliant neuroimaging datasets from external repositories into the EBRAINS Knowledge Graph.

💡A quick recap on some especially interesting booths at the summit:
The siibra-explorer booth (https://ebrains.eu/data-tools-services/tools/siibra-explorer), BIDS booth (https://bids.neuroimaging.io/index.html), Knowledge and Data services booth (https://ebrains.eu/data-tools-services/data-knowledge), and the Modeling and Simulation booth (https://ebrains.eu/data-tools-services/modelling-simulation).

Reema’s top highlight was finally meeting and having insightful conversations with the people behind the tools she works with every day and uses to build her project!

#EBRAINSSummit2025 #EBRAINS #OpenScience #FAIRData #LMUOSC

LMU Open Science Center’s FAIR Data Management expert, Reema Gupta, attended the EBRAINS Summit 2025 (@ebrains) with her team to present their NHP-EBRAINS project, an open-source pipeline turning messy multi-lab primate electrophysiology data into something actually FAIR and usable! 🧠

More details on NHP-EBRAINS here: https://gin.g-node.org/NHPRestingState/NHP-EBRAINS/wiki/

Some highlights from EBRAINS Summit 2025:
- Neurobagel’s (https://neurobagel.org/) approach to metadata hubs - creating an open-source ecosystem for distributed dataset harmonization and search for federated discovery without centralising everything.
- Martin Schrimpf (@mschrimpf) on NeuroAI, an interdisciplinary field merging neuroscience and AI, as well as the work Brain Score (https://www.brain-score.org/) is doing regarding model benchmarking.
- The BRiDGE project (https://bridge.incf.org/brain-research-international-data-governance-exchange) on making data and tools interoperable across international brain initiatives - important for roles at LMU labs that involve collaborating with data on international projects.
- Google Summer of Code (GSoC) (https://gitlab.ebrains.eu/ri/projects-and-initiatives/bids2ebrains/bids2ebrains) project on automating BIDS-to-KnowledgeGraph registration- this project aims to integrate BIDS-compliant neuroimaging datasets from external repositories into the EBRAINS Knowledge Graph.

💡A quick recap on some especially interesting booths at the summit:
The siibra-explorer booth (https://ebrains.eu/data-tools-services/tools/siibra-explorer), BIDS booth (https://bids.neuroimaging.io/index.html), Knowledge and Data services booth (https://ebrains.eu/data-tools-services/data-knowledge), and the Modeling and Simulation booth (https://ebrains.eu/data-tools-services/modelling-simulation).

Reema’s top highlight was finally meeting and having insightful conversations with the people behind the tools she works with every day and uses to build her project!

#EBRAINSSummit2025 #EBRAINS #OpenScience #FAIRData #LMUOSC

LMU Open Science Center’s FAIR Data Management expert, Reema Gupta, attended the EBRAINS Summit 2025 (@ebrains) with her team to present their NHP-EBRAINS project, an open-source pipeline turning messy multi-lab primate electrophysiology data into something actually FAIR and usable! 🧠

More details on NHP-EBRAINS here: https://gin.g-node.org/NHPRestingState/NHP-EBRAINS/wiki/

Some highlights from EBRAINS Summit 2025:
- Neurobagel’s (https://neurobagel.org/) approach to metadata hubs - creating an open-source ecosystem for distributed dataset harmonization and search for federated discovery without centralising everything.
- Martin Schrimpf (@mschrimpf) on NeuroAI, an interdisciplinary field merging neuroscience and AI, as well as the work Brain Score (https://www.brain-score.org/) is doing regarding model benchmarking.
- The BRiDGE project (https://bridge.incf.org/brain-research-international-data-governance-exchange) on making data and tools interoperable across international brain initiatives - important for roles at LMU labs that involve collaborating with data on international projects.
- Google Summer of Code (GSoC) (https://gitlab.ebrains.eu/ri/projects-and-initiatives/bids2ebrains/bids2ebrains) project on automating BIDS-to-KnowledgeGraph registration- this project aims to integrate BIDS-compliant neuroimaging datasets from external repositories into the EBRAINS Knowledge Graph.

💡A quick recap on some especially interesting booths at the summit:
The siibra-explorer booth (https://ebrains.eu/data-tools-services/tools/siibra-explorer), BIDS booth (https://bids.neuroimaging.io/index.html), Knowledge and Data services booth (https://ebrains.eu/data-tools-services/data-knowledge), and the Modeling and Simulation booth (https://ebrains.eu/data-tools-services/modelling-simulation).

Reema’s top highlight was finally meeting and having insightful conversations with the people behind the tools she works with every day and uses to build her project!

#EBRAINSSummit2025 #EBRAINS #OpenScience #FAIRData #LMUOSC

LMU Open Science Center’s FAIR Data Management expert, Reema Gupta, attended the EBRAINS Summit 2025 (@ebrains) with her team to present their NHP-EBRAINS project, an open-source pipeline turning messy multi-lab primate electrophysiology data into something actually FAIR and usable! 🧠

More details on NHP-EBRAINS here: https://gin.g-node.org/NHPRestingState/NHP-EBRAINS/wiki/

Some highlights from EBRAINS Summit 2025:
- Neurobagel’s (https://neurobagel.org/) approach to metadata hubs - creating an open-source ecosystem for distributed dataset harmonization and search for federated discovery without centralising everything.
- Martin Schrimpf (@mschrimpf) on NeuroAI, an interdisciplinary field merging neuroscience and AI, as well as the work Brain Score (https://www.brain-score.org/) is doing regarding model benchmarking.
- The BRiDGE project (https://bridge.incf.org/brain-research-international-data-governance-exchange) on making data and tools interoperable across international brain initiatives - important for roles at LMU labs that involve collaborating with data on international projects.
- Google Summer of Code (GSoC) (https://gitlab.ebrains.eu/ri/projects-and-initiatives/bids2ebrains/bids2ebrains) project on automating BIDS-to-KnowledgeGraph registration- this project aims to integrate BIDS-compliant neuroimaging datasets from external repositories into the EBRAINS Knowledge Graph.

💡A quick recap on some especially interesting booths at the summit:
The siibra-explorer booth (https://ebrains.eu/data-tools-services/tools/siibra-explorer), BIDS booth (https://bids.neuroimaging.io/index.html), Knowledge and Data services booth (https://ebrains.eu/data-tools-services/data-knowledge), and the Modeling and Simulation booth (https://ebrains.eu/data-tools-services/modelling-simulation).

Reema’s top highlight was finally meeting and having insightful conversations with the people behind the tools she works with every day and uses to build her project!

#EBRAINSSummit2025 #EBRAINS #OpenScience #FAIRData #LMUOSC

Prof. Dr. Felix Schönbrodt (@nicebread), LMU Open Science Center’s Managing Director, joined a workshop on “Instructional Design”, held by Antje Manske at the Leibniz Institute for Psychology (@zpid.bsky.social).

Here were some of the key topics:
- ADDIE, a framework for instructional design that stands for these five phases: Analysis, Design, Development, Implementation, and Evaluation.
- Agile Instructional Design, an iterative and learner-centered approach to creating materials that emphasize collaboration and continuous feedback.
- Bloom’s taxonomy, a framework that classifies observable knowledge, skills, attitudes, behaviors, and abilities into categories of learning goals.

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

Prof. Dr. Felix Schönbrodt (@nicebread), LMU Open Science Center’s Managing Director, joined a workshop on “Instructional Design”, held by Antje Manske at the Leibniz Institute for Psychology (@zpid.bsky.social).

Here were some of the key topics:
- ADDIE, a framework for instructional design that stands for these five phases: Analysis, Design, Development, Implementation, and Evaluation.
- Agile Instructional Design, an iterative and learner-centered approach to creating materials that emphasize collaboration and continuous feedback.
- Bloom’s taxonomy, a framework that classifies observable knowledge, skills, attitudes, behaviors, and abilities into categories of learning goals.

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

Prof. Dr. Felix Schönbrodt (@nicebread), LMU Open Science Center’s Managing Director, joined a workshop on “Instructional Design”, held by Antje Manske at the Leibniz Institute for Psychology (@zpid.bsky.social).

Here were some of the key topics:
- ADDIE, a framework for instructional design that stands for these five phases: Analysis, Design, Development, Implementation, and Evaluation.
- Agile Instructional Design, an iterative and learner-centered approach to creating materials that emphasize collaboration and continuous feedback.
- Bloom’s taxonomy, a framework that classifies observable knowledge, skills, attitudes, behaviors, and abilities into categories of learning goals.

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

Prof. Dr. Felix Schönbrodt (@nicebread), LMU Open Science Center’s Managing Director, joined a workshop on “Instructional Design”, held by Antje Manske at the Leibniz Institute for Psychology (@zpid.bsky.social).

Here were some of the key topics:
- ADDIE, a framework for instructional design that stands for these five phases: Analysis, Design, Development, Implementation, and Evaluation.
- Agile Instructional Design, an iterative and learner-centered approach to creating materials that emphasize collaboration and continuous feedback.
- Bloom’s taxonomy, a framework that classifies observable knowledge, skills, attitudes, behaviors, and abilities into categories of learning goals.

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

Prof. Dr. Felix Schönbrodt (@nicebread), LMU Open Science Center’s Managing Director, joined a workshop on “Instructional Design”, held by Antje Manske at the Leibniz Institute for Psychology (@zpid.bsky.social).

Here were some of the key topics:
- ADDIE, a framework for instructional design that stands for these five phases: Analysis, Design, Development, Implementation, and Evaluation.
- Agile Instructional Design, an iterative and learner-centered approach to creating materials that emphasize collaboration and continuous feedback.
- Bloom’s taxonomy, a framework that classifies observable knowledge, skills, attitudes, behaviors, and abilities into categories of learning goals.

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

The LMU Open Science Center participated in the AI-Hub@LMU’s annual flagship event “KI-Symposium 2025” on November 10, 2025 💡 We presented a booth that invited visitors to reflect on key questions about the intersection of Artificial Intelligence (AI) 🤖 and Open Science 🔍

Our booth encouraged dialogue around AI and how it affects Research Quality, Reproducible Research, and FAIR Data Sharing. Visitors were also interested in the following topics:

⚖️ Can we balance openness and large amounts of new information?
A participant expressed concern that Open Science would open the floodgates to an overwhelming amount of materials being shared. An important focus of open science should then be increasing the share of reliable science, emphasizing quality over quantity.

🧠 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.

🔒 Where do we draw the line between openness and privacy?
A discussion on ethics in AI brought up the challenging issue of sharing health data openly while protecting patient privacy. A question was raised about whether AI possesses agency and then what would concepts like responsibility and accountability for AI look like.

By sparking these conversations, we set out to explore how openness and AI can evolve together 🌍

#ArtificialIntelligence #AI #OpenSience #OpenResearch #LMUOSC #LMU

The LMU Open Science Center participated in the AI-Hub@LMU’s annual flagship event “KI-Symposium 2025” on November 10, 2025 💡 We presented a booth that invited visitors to reflect on key questions about the intersection of Artificial Intelligence (AI) 🤖 and Open Science 🔍

Our booth encouraged dialogue around AI and how it affects Research Quality, Reproducible Research, and FAIR Data Sharing. Visitors were also interested in the following topics:

⚖️ Can we balance openness and large amounts of new information?
A participant expressed concern that Open Science would open the floodgates to an overwhelming amount of materials being shared. An important focus of open science should then be increasing the share of reliable science, emphasizing quality over quantity.

🧠 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.

🔒 Where do we draw the line between openness and privacy?
A discussion on ethics in AI brought up the challenging issue of sharing health data openly while protecting patient privacy. A question was raised about whether AI possesses agency and then what would concepts like responsibility and accountability for AI look like.

By sparking these conversations, we set out to explore how openness and AI can evolve together 🌍

#ArtificialIntelligence #AI #OpenSience #OpenResearch #LMUOSC #LMU

The LMU Open Science Center participated in the AI-Hub@LMU’s annual flagship event “KI-Symposium 2025” on November 10, 2025 💡 We presented a booth that invited visitors to reflect on key questions about the intersection of Artificial Intelligence (AI) 🤖 and Open Science 🔍

Our booth encouraged dialogue around AI and how it affects Research Quality, Reproducible Research, and FAIR Data Sharing. Visitors were also interested in the following topics:

⚖️ Can we balance openness and large amounts of new information?
A participant expressed concern that Open Science would open the floodgates to an overwhelming amount of materials being shared. An important focus of open science should then be increasing the share of reliable science, emphasizing quality over quantity.

🧠 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.

🔒 Where do we draw the line between openness and privacy?
A discussion on ethics in AI brought up the challenging issue of sharing health data openly while protecting patient privacy. A question was raised about whether AI possesses agency and then what would concepts like responsibility and accountability for AI look like.

By sparking these conversations, we set out to explore how openness and AI can evolve together 🌍

#ArtificialIntelligence #AI #OpenSience #OpenResearch #LMUOSC #LMU

The LMU Open Science Center participated in the AI-Hub@LMU’s annual flagship event “KI-Symposium 2025” on November 10, 2025 💡 We presented a booth that invited visitors to reflect on key questions about the intersection of Artificial Intelligence (AI) 🤖 and Open Science 🔍

Our booth encouraged dialogue around AI and how it affects Research Quality, Reproducible Research, and FAIR Data Sharing. Visitors were also interested in the following topics:

⚖️ Can we balance openness and large amounts of new information?
A participant expressed concern that Open Science would open the floodgates to an overwhelming amount of materials being shared. An important focus of open science should then be increasing the share of reliable science, emphasizing quality over quantity.

🧠 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.

🔒 Where do we draw the line between openness and privacy?
A discussion on ethics in AI brought up the challenging issue of sharing health data openly while protecting patient privacy. A question was raised about whether AI possesses agency and then what would concepts like responsibility and accountability for AI look like.

By sparking these conversations, we set out to explore how openness and AI can evolve together 🌍

#ArtificialIntelligence #AI #OpenSience #OpenResearch #LMUOSC #LMU

The LMU Open Science Center participated in the AI-Hub@LMU’s annual flagship event “KI-Symposium 2025” on November 10, 2025 💡 We presented a booth that invited visitors to reflect on key questions about the intersection of Artificial Intelligence (AI) 🤖 and Open Science 🔍

Our booth encouraged dialogue around AI and how it affects Research Quality, Reproducible Research, and FAIR Data Sharing. Visitors were also interested in the following topics:

⚖️ Can we balance openness and large amounts of new information?
A participant expressed concern that Open Science would open the floodgates to an overwhelming amount of materials being shared. An important focus of open science should then be increasing the share of reliable science, emphasizing quality over quantity.

🧠 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.

🔒 Where do we draw the line between openness and privacy?
A discussion on ethics in AI brought up the challenging issue of sharing health data openly while protecting patient privacy. A question was raised about whether AI possesses agency and then what would concepts like responsibility and accountability for AI look like.

By sparking these conversations, we set out to explore how openness and AI can evolve together 🌍

#ArtificialIntelligence #AI #OpenSience #OpenResearch #LMUOSC #LMU