Transparency in experimental methodology, observation, and collection of data.Using web-based tools to facilitate information exchange and scientific collaboration.That is shared and developed through collaborative networks. Open science is transparent and accessible knowledge Open Science represents a new approach to the scientific process based on cooperative workĪnd new ways of diffusing knowledge by using digital technologies and new collaborative tools Open science is the movement to make scientific research (including publications, data, physical samples, and software)Īnd its dissemination accessible to all levels of an inquiring society, We conduct and communicate science changes continuously. It makes science more reproducible, transparent, and accessible. Most efficient science involves both questions andĮxperiments being made as fully informed as possible, which requires the free exchange of data and information.Īll practices that make knowledge and data freely available fall under the umbrella-term of Open Science/Open Science works best by exchanging ideas and building on them. Recognize the barriers and risks in the adoption of Open Science practices Identify parts of the Open Science movement, their goals and motivationsĮxplain the main benefits of Open Science Remember, you can do better research if you plan to share your outputs! If needed, check the pre workshop setup, ask to report problemsĪnd help at a break or after the session. Online workshop specifics Our learning toolsīefore we begin let’s explain how to use the tools: Other tools can help you during your research. We will consolidate our knowledge of FAIR ready data management and what We will teach how to describe your projects using simple text files or customized templates. We will introduce Jupyter notebooks as a tool for reusable data analysis. We will show you how public repositories make your outputs accessible and reusable. Using Excel or CSV tables to store and document data. We will talk about working and organizing files and appropriate file naming conventions We will show you how to use metadata in Excel, and the benefits of using online We will finish with a brief introduction to metadata and ontologies, and how to So that our “shared” outputs are of value. Then we will talk about FAIR principles which define steps you/we should take The benefits are of being open for you and society. We will start with explaining Open Science principles and what In a way that makes your outputs readily available for re-use by others. In this workshop we will show you how you can plan and do your research All the practices that enable others to access and use your outcomes directly.Taking the time to do effective data management will help you understand your data better and make it easier to find when you need it (for example when you need to write a manuscript or a thesis!).If you wait till the end, it will take a massive effort on your side and will be more of a burden than a benefit.Data management should be done throughout the duration of your project.When should you engage in data sharing and open practices? Part of the problemįigure credits: Tomasz Zielinski and Andrés Romanowski What goals do you have for the follwing days?įor many of us, data management or output sharing in generalĪre considered a burden rather than a useful activity.Please introduce yourself shortly and tell us: Who are you and what are your expectations from the workshop Now we would like to get to know all of you. To begin the class, each Trainer should give a brief introduction of themselves. Hello everyone, and welcome to the FAIR in biological practice workshop. Tracy Teal, Former Executive Director, The Carpentries Introductions set the stage for learning.
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