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Research data is a valuable resource. Careful management practices reduce mistakes, improve research reproducibility and facilitate publishing and sharing data. Best practices for different phases of the research data cycle will be discussed including planning for data collection, file management, data security, options for data storage during the project and long term storage of data for sharing after the project is complete. Planning for data management is also a critical part of developing a written data management plan, or DMP, for funding proposals. Please join us and learn these important skills in order to get your research project off to a great start.
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Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.