This blog analyses work evidencing the importance of research software to research outcomes, to enable the research software community to find useful evidence to share with key influencers. This analysis considers papers relating to meta-research, policy, community, education and training, research breakthroughs and specific software.
By Mario Antonioletti, Daina Bouquin, Daniel S. Katz, Lucia Michielin, Colin Sauze, and Lucy Whalley.
This post is part of the CW19 speed blog posts series.
In this blog post, we address the idea of training in software sustainability in the form of questions and answers.
By Daniel S. Katz, Daina Bouquin and Neil Chue Hong.
This blog post was originally published in Daniel S. Katz's blog.
Identification of software is essential to a number of important issues, such as citation, provenance, and reproducibility. Here, we are focusing on issues related to citation. Identification can be thought of as a subset of naming. Some important questions are therefore: How do we name things? How do we know how things are named? And who gets to name things?
By Stephan Druskat, Daniel S. Katz, David Klein, Mark Santcroos, Tobias Schlauch, Liz Sexton-Kennedy, and Anthony Truskinger.
Like the behemoth cruise ship leaving the harbour of Amsterdam that overshadowed our discussion table at WSSSPE 6.1, credit for software is a slowly moving target, and it’s a non-trivial task to ensure that the right people get due credit. In this blog post, we aim to review the current state of practice in terms of credit for research software. We also attempt to summarise recent developments and outline a more ideal state of affairs.