Supporting the adoption of FAIR and reproducible digital scholarship with Renku
Beschreibung
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.
Eckdaten
Projektleitung
Projektteam
Panagiotis Gkikopoulos
Projektpartner
Ecole polytechnique fédérale de Lausanne EPFL; Eidgenössische Technische Hochschule Zürich ETH; Hochschule Luzern
Projektstatus
abgeschlossen, 01/2020 - 12/2020
Institut/Zentrum
Institut für Informatik (InIT)
Drittmittelgeber
Projektgebundene Beiträge / P-5 Wissenschaftliche Information