Want to tidy up your R projects and make them reproducible on another computer or later in time? 📝 The LMU Open Science Center offers a tutorial on how you can use the renv package in R to create isolated, reproducible environments for your R projects, so analyses remain consistent no matter where or when you run them.

The Tutorial of the Day: Introduction to R Package Manager renv ⚙️ https://lmu-osc.github.io/introduction-to-renv/

Working across different R packages and updates can easily break your code. renv is an R package for managing project environments and dependencies that will help make your work reproducible, portable, and conflict-free, especially when working across projects, teams, or time. With the renv package, you can:

✔️ Create project-specific R environments
✔️ Save and restore exact package versions
✔️ Ensure full reproducibility of your analyses
✔️ Collaborate confidently without version conflicts

Start managing reproducible R environments for reliable research with this tutorial! 🔁

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

Want to tidy up your R projects and make them reproducible on another computer or later in time? 📝 The LMU Open Science Center offers a tutorial on how you can use the renv package in R to create isolated, reproducible environments for your R projects, so analyses remain consistent no matter where or when you run them.

The Tutorial of the Day: Introduction to R Package Manager renv ⚙️ https://lmu-osc.github.io/introduction-to-renv/

Working across different R packages and updates can easily break your code. renv is an R package for managing project environments and dependencies that will help make your work reproducible, portable, and conflict-free, especially when working across projects, teams, or time. With the renv package, you can:

✔️ Create project-specific R environments
✔️ Save and restore exact package versions
✔️ Ensure full reproducibility of your analyses
✔️ Collaborate confidently without version conflicts

Start managing reproducible R environments for reliable research with this tutorial! 🔁

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

Is it possible to combine text, reproducible code, and reproducible results (tables or figures) all into one document? 📑 Find out how with the LMU Open Science Center tutorial about Quarto, an open-source tool to write reproducible manuscripts.

The Tutorial of the Day: Introduction to Literate Programming with Quarto 💻 https://lmu-osc.github.io/introduction-to-Quarto/

Quarto blends written text, code, and visuals to turn your analyses into polished reports, articles, or presentations in one seamless workflow. In Quarto, you can:

✔️ Write and run code alongside your narrative
✔️ Create dynamic reports, slides, and dashboards
✔️ Automatically update results when your data changes
✔️ Publish your work in multiple formats (e.g., HTML, PDF, Word)
✔️ Share transparent, reproducible research with ease

Check out the tutorial now to see how Quarto can transform your research! 💡

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

Boosting #openresearch: DataCite metadata is now integrated into OpenAlex. Over 92 million DOIs, including datasets, preprints, and many more research outputs & resources, are available in OpenAlex, enhancing research connectivity & discovery. Read the announcement: https://doi.org/10.5438/we1x-2k68

@OpenAlex
#OpenInfrastructure #OpenScience #OpenResearch #metadata #persistentidentifier #PID #DOI

The grand tapestry of evidence continues to build over the inclusion of 'data availability statements' in scholarly #literature, i.e. they tend to be highly dubious! Results are this time from #psychology.

HT to @laurencehorton

Data is not available upon request :: https://doi.org/10.15626/MP.2023.4008 #DAS #ResearchData #OpenData #OpenResearch #OpenScience

What do you know about version control? 🔁 It’s how researchers keep their projects organized, track every change, and never lose work again. The LMU Open Science Center can help you learn more about it with a self-paced tutorial.

The Tutorial of the Day: Introduction to Version Control within RStudio ⚙️ https://lmu-osc.github.io/Introduction-RStudio-Git-GitHub/

RStudio connects seamlessly with Git and GitHub. With version control in RStudio, you can:

✔️Save and track every version of your R scripts
✔️Compare changes and restore earlier work
✔️Collaborate safely without overwriting others’ edits
✔️Link your project directly to GitHub for easy sharing
✔️Keep a clean, documented history of your research progress

Check out the tutorial to start managing your projects more efficiently! 💡

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

Curious about creating a reproducible workflow for your research? 🔍 The LMU Open Science Center provides several self-paced tutorials about tools that make your work more efficient, reproducible, and collaborative.

The Tutorial of the Day: Introduction to R 📊 https://lmu-osc.github.io/introduction-to-R/

R is a powerful, open-source language for data processing, analysis, and visualization. With R, you can
✔️ Turn messy data into clear insights
✔️ Create easily interpretable, ready-to-publish graphs
✔️ Write and share reproducible research reports
✔️ Run advanced statistical analyses
✔️ Collaborate easily and make your work open and transparent

Start the tutorial today and learn on your own time and speed!

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

Need a place for your team to store code, track versions, and work collaboratively? 🤝 The LMU Open Science Center offers a tutorial about GitHub that can help you with all of these things.

The Tutorial of the Day: Introduction to Collaborative Coding with Github 💻 https://lmu-osc.github.io/Collaborative-RStudio-GitHub/

GitHub is a platform for sharing, managing, and collaborating on research code and projects. In GitHub, you can:

✔️ Back up your code and research files to keep your projects accessible
✔️ Track every change with detailed version history
✔️ Review, discuss, and improve code collaboratively
✔️ Showcase your research openly and build your professional portfolio

Start learning with this tutorial and see how it improves your research workflow and collaboration! 🌐

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