RSE4ORD – building a research software engineering community to promote open science

Institutions

Eawag, Empa, EPFL, ETH Zurich, PSI, WSL

Partners

Tarun Chadha, Franziska Oschmann, Uwe Schmitt, Linus Gasser, Son Pham-Ba, Charlotte Weil, Nicolas Richart, Emmanuel Lanti, Elsa Germann, Achim Gsell, Anusch Bachofner, Ionut Iosifescu Enescu, Stuart Dennis

Abstract

Promoting the FAIR (Findable, Accessible, Interoperable, Reusable) data principles is not complete without considering the links between data and research software. Research software is an integral part of the entire data life cycle and is indispensable for data generation, data collection, data analysis or data archiving. Additionally, software itself as a digital artifact needs to be FAIR. Recently, FAIR principles for research software (FAIR4RS) have been proposed. Most of research software is developed by research software engineers (RSEs), who are dispersed widely across the research landscape. To better promote FAIR & ORD (Open Research Data) principles and other best practices for sustainable software in this community, RSEs would benefit from a common platform for regular interaction and knowledge exchange. In many other countries, RSE communities have been established with great success and help to promote the FAIR data principles and ORD. In this project, we propose to establish RSE communities at all institutions within the ETH Domain and to take the first steps towards building a Swiss-wide RSE community to promote best practices in research software engineering and adoption of FAIR principles for data and software. We also propose to connect the emerging RSE communities to synergize with other relevant established communities in the ORD landscape.

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