2 - Open Science and Reproducibility
Section outline
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Learning outcomes
- Be able to communicate why open science is an issue that researchers can't afford to ignore
- Be able to explain how to go about making research more open
- Be able to highlight what funders expect to see about open access, data sharing and open science when applying for new grants
- Be able to explain how to progress research career through practicing open science
- Understand what reproducibility and replication is and how to practice them
- Be able to discuss improvement science initiatives on statistics, measurement, teaching, data sharing, code sharing, pre-registration, replication
- Be able to discuss questionable research practices and suggest improvements, provide good practice advice to early career researchers
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This glossary was created and/or compiled from the participants of the OpenAIRE train-the-trainer bootcamps
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Presentation given during the fourth OpenAIRE Train-the-Trainer Bootcamp (27 Nov - 01 Dec 2023)
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Students mustMark as done
Presentation given during the first OpenAIRE Train-the-Trainer Bootcamp (06-10 June 2022).
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Students mustMark as done
Read the FORRT glossary - A Community-Sourced Glossary of Open Scholarship Terms
Presentation given during the second OpenAIRE Train-the-Trainer Bootcamp (05-09 Dec 2022). The Q&A part from the first bootcamp (06-10 June 2022) has also been added to this recording.