Work

D5.2 Enhanced and Curated Training Resources Aligned with Software Best practices

Year: 2025

Type: article

Abstract: This deliverable describes the methodology followed in WP5 to collect and curate a list of training resources on research software and align it with the good practices published in the Research Software Quality Kit (RSQKit). Our work extensively builds on the work done in WP2 (best practices, RSQKit) and WP4 (collection of all digital research skills training resources within the science clusters in the EVERSE project). The proposed methodology includes a curation workflow which filters and categorises training materials, enriches each of them with metadata (i.e., name, description, URL, quality dimension) and describes them with a set of keywords (tags) from a vocabulary of keywords defined and shared across different activities in EVERSE (including TechRadar, EVERSE training registry and RSQKit). Training materials are then ingested in the EVERSE training registry, a platform for storing training material metadata, and linked from the RSQKit task pages through inline annotations. Finally, the initial architecture and results of the overall system are presented. Future releases will increase the coverage and wealth of training resources aligned with task pages in the RSQKit.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17091449

Authors: Garijo, Daniel, Nenadic, Aleksandra, Roiser, Stefan, Orfanou, Aspasia, Bakoglidou, Elena, Pechlivanis, Nikos, Psomopoulos, Fotis, Rioja, Kenneth

Institutions: University of Southern California, Universidad Politécnica de Madrid, University of Manchester, Centre for Research and Technology Hellas, University of Geneva

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7081152136

FWCI:

Cites:

Cited by:

Related to: