Research Software Quality Assessment From local development to production environments

This catalogue respects all FAIR guidelines and best practices. It is based on the IEEE Standard for Learning Object Metadata (IEEE 2002) that has been customised in order to be compliant with the EOSC Training Resource Profile - Data Model.

Description

This joint training webinar was organised as part of the training activities of the EVERSE Network and the ENVRI-Hub NEXT project.

This hands-on training workshop provided developers with a practical approach to code quality assurance (QA), including: research software FAIRness and sustainability, containerisation, and security assessment of their applications, all integrated within GitLab CI pipelines.

The main goal was to equip developers with the tools and procedures needed to maintain code quality, build secure container images, and automate deployments efficiently from local development to production environments.

1 - General

1.1 - Identifier

1.2 - URL type

URL

1.3 - URL

https://training.envri.eu/course/view.php?id=71

1.4 - Title

Research Software Quality Assessment

1.5 - Language

1.6 - Description

This joint training webinar was organised as part of the training activities of the EVERSE Network and the ENVRI-Hub NEXT project. This hands-on training workshop provided developers with a practical approach to code quality assurance (QA), including: research software FAIRness and sustainability, containerisation, and security assessment of their applications, all integrated within GitLab CI pipelines. The main goal was to equip developers with the tools and procedures needed to maintain code quality, build secure container images, and automate deployments efficiently from local development to production environments

1.7 - Keywords

CI/CD pipeline
research software quality
sonarqube
GitLab

1.8 - Geographical availability

2 - Life Cycle

2.1 - Version

Final

2.2 - Status

Final

2.3 - Contribute

2.3.1 - Role

Author

2.3.2 - Entity

ENVRI-Hub NEXT
EVERSE

2.4 - Date

2025-05-21

3 - Educational

3.1 - Interactivity type

Active

3.2 - Learning resource type

Other

3.3 - Interactivity level

High

3.4 - Semantic density

Medium

3.5 - Target group

Other

3.6 - Context

Training

3.7 - Expertise level

Advanced

3.8 - Typical learning time

3.9 - Learning outcome(s)

Compare good practices for code deployment, management, and monitoring.
Use a preconfigured pipeline to assess your code
Run a quality pipeline in your own environment

3.10 - Access rights

Open access

3.11 - Cost

3.12 - Copyright and other restrictions

3.13 - Conditions of use

CC BY-NC-SA 4.0

4 - Technical

4.1 - Size

n/a

4.2 - Scientific domain and subdomain

Engineering & Technology - Other engineering and technology sciences

4.3 - Topic codes

R5: Cloud computing (Virtual Machines & containers) for data processing
R14: Repository design, operation & sustainability

5 - Relation

5.1 - Kind

5.2 - Entry

Access the resource

Details

Code
Uploaded by	eleonora parisi
Available since	16/12/25 12:59