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In this workshop, we will address the foundations of open and reproducible science and how they benefit both researchers and the broader community. According to a recent survey, only 54% of scientists believe that all data should be openly accessible to the public. When given the option, more than half of the respondents would keep previously disclosed facts from their peers. By increasing the accessibility of our research, we can promote scientific advancement, increase awareness of potential hurdles, and contribute to accessible and inclusive science. To assure the legitimacy and trustworthiness of research findings, open science promotes scientific debate and the sharing of data, code, and resources. It contributes to the reduction of publication bias and increases citations. Open research encourages scientists to be more frank about their work, provides access to cutting-edge technologies to people in disadvantaged nations, and stimulates collaboration. This requires ensuring that data, resources, and design plans are openly accessible, reusable, adaptable, and expandable. We will discuss the advantages of open science and the numerous tools and services that are available to aid us as we advance through the various stages of an engineering research venture that involves software development and data management. We will discuss the four pillars of FAIR data (Findable, Accessible, Interoperable, and Reusable) as well as the data storage and management capabilities (HPC, CyVerse Discovery Environment) available to University of Arizona academics.
https://arizona.zoom.us/j/88553959286 Password: 993729