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How Research Software Engineers Can Support Scientific Software
We are research software engineers and team members in the Department of...
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High Quality Software for Planetary Science from Space
Planetary science space missions need high quality software ed efficient...
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Good Usability Practices in Scientific Software Development
Scientific software often presents very particular requirements regardin...
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Community Organizations: Changing the Culture in Which Research Software Is Developed and Sustained
Software is the key crosscutting technology that enables advances in mat...
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"Only the Initiates Will Have the Secrets Revealed": Computational Chemists and the Openness of Scientific Software
Computational chemistry is a scientific field within which the computer ...
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A user-centered approach to designing an experimental laboratory data platform
While automated experiments and high-throughput methods are becoming mor...
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Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets
Scientific image tampering is a problem that affects not only authors bu...
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Challenges for Verifying and Validating Scientific Software in Computational Materials Science
Many fields of science rely on software systems to answer different research questions. For valid results researchers need to trust the results scientific software produces, and consequently quality assurance is of utmost importance. In this paper we are investigating the impact of quality assurance in the domain of computational materials science (CMS). Based on our experience in this domain we formulate challenges for validation and verification of scientific software and their results. Furthermore, we describe directions for future research that can potentially help dealing with these challenges.
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