Executable Environment for OSF Project 3kem6

OSF Project Metadata:

Project Title: Ongoing and future challenges of the network approach to psychopathology: From theoretical conjectures to clinical translations

Project Description:

For decades, science has attempted to understand the world by boiling concepts down to their simplest components in a quest for reductionism, but there is now a move to map the world's complexities via a network perspective. Clinical psychology has embraced this perspective as well, and researchers have started to conceptualize mental disorders as network systems. In this chapter, we review and discuss the theoretical conjectures, levels of evidence, current challenges and future directions, as well as the potential translational value of this radically new approach to psychopathology.

Original OSF Page: https://osf.io/3kem6/

This repository was automatically generated as part of a project to test the reproducibility of open science projects hosted on the Open Science Framework (OSF).

Important Note: The contents of the 3kem6_src folder were cloned from the OSF project on 12-03-2025. Any changes made to the original OSF project after this date will not be reflected in this repository.

The DESCRIPTION file was automatically added to make this project Binder-ready. For more information on how R-based OSF projects are containerized, please refer to the osf-to-binder GitHub repository: https://github.com/Code-Inspect/osf-to-binder

How to Launch:

Launch in your Browser:

🚀 MyBinder:

• This will launch the project in an interactive RStudio environment in your web browser.
• Please note that Binder may take a few minutes to build the environment.

🚀 NFDI JupyterHub:

• This will launch the project in an interactive RStudio environment on the NFDI JupyterHub platform.

Access Downloaded Data: The downloaded data from the OSF project is located in the 3kem6_src folder.

Run via Docker for Long-Term Reproducibility

In addition to launching this project using Binder or NFDI JupyterHub, you can reproduce the environment locally using Docker. This is especially useful for long-term access, offline use, or high-performance computing environments.

Pull the Docker Image

bash docker pull meet261/osf_3kem6

Launch RStudio Server

bash docker run -e PASSWORD=yourpassword -p 8787:8787 meet261/osf_3kem6 Once the container is running, copy the given URL and paste it into your browser.