Supporting the adoption of FAIR and reproducible digital scholarship with Renku
Description
The goal of this project is to significantly increase the visibility of a mature solution, anticipating the adoption of Renku as a tool to improve research management in Switzerland, leveraging existing knowledge, resources and networks built in the context of past and current projects supported by swissuniversities. This approach will be based on the Renku platform, a pragmatic and intuitive approach to good data and code management, and therefore a valuable entry point for the implementation of reproducible, FAIR and collaborative science in the digital age. We contribute demonstration and improvements.
Demonstration: Using Renku to manage research output (raw data from continuous experiments at daily and hourly intervals, augmented and annotated insights data, publications, tooling, testbed) of the Microservice Artefact Observatory (MAO) coordinated by ZHAW and involving academic partners from eight countries.
Improvements: Applying the same observatory in batch and CI/CD (continuous integration/continuous deployment) mode to ensure the Renku software artefacts (Helm charts, language-specific) and here to highquality standards, leading to preservation of Renku’s software development history through Renku itself.
Key data
Projectlead
Project team
Panagiotis Gkikopoulos
Project partners
Ecole polytechnique fédérale de Lausanne EPFL; Eidgenössische Technische Hochschule Zürich ETH; Hochschule Luzern
Project status
completed, 01/2020 - 12/2020
Institute/Centre
Institute of Computer Science (InIT)
Funding partner
Projektgebundene Beiträge / P-5 Wissenschaftliche Information