Alex' Knowledge Base

Alex’ Knowledge Base

Link to the service

https://ta_alex.pages.rwth-aachen.de/action-items/

Logo

Detailed description of the service

The Alex Knowledge Base offers a structured collection of tools, resources, and workflows developed by the NFDI4ing task area Alex. It includes practical resources like guides, checklists, and software tools aimed at streamlining tasks related to research data management. Users can find completed and ongoing projects of the TA Alex such as the Python packages pyDuCo and PlotID, reports from workshops on unit testing, and guidelines on machine learning data collection and data publishing. This page provides researchers with easily accessible documentation and recommendations to help and inspire them on matters related to RDM.

Terms of use & restrictions

Contact

Michaela Lestakova, Michaela.lestakova@tu-darmstadt.de

References

publications that reference (or report on using) the service

#WhyNFDI

Miscellaneous

Tags

NFDI4ING services may be relevant to different users according to varying requirements. To support filtering or sorting, we added a tag system outlining which archetype, phase of the data lifecycle, or degree of maturity a service corresponds to. By clicking on one of the tags below, you can get an overview of all services aligned with each tag.

This service has the following tags:

Alex, Describing & Documenting, Informing & Planning, IRL1, Learning & Teaching, Publishing & Archiving, Service

The tags correspond to:
The Archetypes: Services relevant to Alex – Bespoke Experiments, Betty – Research Software Engineering, Caden – Provenance Tracking, Doris – High Performance Computing, Ellen – Complex Systems, Fiona – Data Re-Use and Enrichment

The data lifecycle: Services related to Informing & Planning, Organising & Processing, Describing & Documenting, Storing & Computing,
Finding & Re-Using, Learning & Teaching

The maturity of the service: Services sorted according to their maturity and status of their integration into the larger NFDI service landscape. For this we use the Integration Readiness Level (IRL), ranging from IRL0 (no specifications, strictly internal use) up to IRL4 (fully integrated in the German research data landscape and the EOSC). Click here for a diagram outlining all Integration Readiness Levels.