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What is good scientific practice for research software?

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What is good scientific practice for research software?
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2
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13
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Software has become an essential component in basically every part of the research cycle. Still, there are no comprehensive guidelines how core principles of good scientific practice like transparency and reproducibility can and should be applied to research software. Further open questions are how to guarantee high quality of such software, how current and future researchers need to be trained and incentivized to generate sustainable software. To ensure the frictionless reuse and long term availability of software, dedicated framework conditions and infrastructure for research software need to be established. At the same time knowledge about open/libre software licenses needs to be disseminated. These and numerous other issues were so far only partially and inconsistently addressed by German universities and funding/research institutions. The Alliance of Science Organisations which consists of all large German research organisations (DFG, Fraunhofer Society, Helmholtz Association, Leibniz Association, Max Planck Society) and the universities has launched the ad-hoc working group "Research Software" as part of its initiative "Digital Information" to propose solutions for these issues. This working group aims to address the general questions regarding research software and to compile a set of guidelines and recommendations for the German and international research community. In this talk those questions and their potential solutions will be presented and discussed.