EnviDat Open Science and Reproducibility Support Concept

A 2019 poster from the Swiss Federal Research Institute WSL details the EnviDat portal's concept for supporting Open Science and research reproducibility. It illustrates tools like Jupyter notebooks and Singularity containers for publishing data alongside code and methods. The poster was created by the EnviDat team for a Swissuniversities Open Science Action Plan forum.

Use Cases

• Analyzing the integration of Jupyter notebooks with High-Performance Computing clusters for environmental research workflows, as described in the poster text.
• Studying the use of Singularity containers for packaging legacy research software to aid reproducibility, a key feature discussed.
• Reviewing the FAIR principles implementation strategy at the dataset level for an environmental data portal.
• Examining the concept of assigning DOIs to combined data, code, and documentation packages to enable citable research outputs.

Strengths

• Explicitly details support for multiple programming languages (Python, R, Octave/Matlab, Java, Scala) via Jupyter kernels.
• Describes a proven beta integration with a High-Performance Computing Linux Cluster through JupyterHub/JupyterLab.

Limitations

• Contains no actual research datasets, code, or notebooks; it is solely a conceptual description.
• The poster content is from 2019 and may not reflect the current state of the EnviDat platform.

Provenance

Source

Swiss Federal Research Institute WSL (WSL) and the EnviDat team.

Collection Method

Conceptual poster created for a conference presentation.

Time Range

Poster presented on 17.10.2019.

Freshness

null

Geography

Switzerland, specifically the Swiss Federal Research Institute WSL.