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## Goals This course provides a basic introduction to Open Science with a focus on Open Access and Open Data. It covers the entire “lifecycle” of a research project and explores ways of making research more open and reproducible. ## Learning outcomes The participants will learn about Open Science and its advantages for the research community as well as themselves. They will also learn practical skills, such as how to use the OSF. Participants will end the course feeling like they can apply a range of Open Science tools to their own research. ## Content [update 12/11/2018: changed order of class 3 and 4] + Session 1 - DESIGN: Introduction to Open Science & Pre-registration + Session 2 - WORKFLOW: OSF, Research workflow & Data management + Session 3 - DATA: Open Data and Archiving + Session 4 - DISSEMINATION: Preprints, postprints & (Open Access) publishing ## Instructors + Julia Egger + Amie Fairs + Eirini Zormpa
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Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.