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Open Reproducible Research – Concepts, challenges, and solutions (R tutorial)

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Open Reproducible Research – Concepts, challenges, and solutions (R tutorial)
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17
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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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Open Reproducible Research (ORR) is a crucial topic in Open Science and combines several open practices, such as Open Data, Open Code, and Open Source Infrastructure. It can help us understand and tackle wicked global challenges, such as climate change, natural hazards, urbanisation, digitisation, and pandemics. But what does ORR actually mean? Is it common practice? (A little spoiler: It’s not!). What do you need to consider and are there any tools that can help you? You will find answers to these questions in this lecture and learn what is needed to achieve ORR, which obstacles make it difficult, and how ORR can contribute to increasing the transparency, verifiability, and reusability of research results.
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