Browsing by Author "Barber, Catherine R."

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    Fondren Library Data Repository for Data Science Education and Experiential Learning
    (Rice University, 2023-06-15) Xiong, Anna; Chen, Su; Barber, Catherine R.; Sun, Nik; Qiu, Alison; Li, Tina
    This project piloted a process for creating a repository of interesting, real-world government datasets that are easy to access, beginner-friendly, and suitable for educational use, particularly in data science. The project resulted in three sub-projects, each of which uses one or more open government datasets to demonstrate the data science pipeline. The first sub-project (1_mental_health_project) used the U.S. Census Bureau's Household Pulse survey to explore correlates of mental health during the COVID-19 pandemic. The second sub-project (2_education_demographics_project) used the National Center for Education Statistics' National Household Education Survey and Common Core of Data along with the Texas Education Agency's graduation data to explore relationships among educational outcomes, student and family demographic variables, and county demographic diversity within the 12th grader population. The third sub-project (3_economics_employment_project) used the U.S. Census Bureau's Current Population Survey and a wide range of financial data (COVID-related spending, Medicaid spending, GDP, and minimum wage) to explore the relationship beteen government fiscal relief measures and employment during recessions. The three sub-project folders include clean datasets, code for cleaning and analyzing the data, and interpretation of the results. These materials are suitable for a range of learners within data science, including both novices and those with advanced statistical skills.
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    Research Data Services and Center for Research Computing needs assessment
    (Rice University, 2024-03-25) Barber, Catherine R.; Spiro, Lisa; Cragin, Melissa; Smith, Sean; Fondren Library Research Data Services; The Center for Research Computing
    This needs assessment involved surveying the Rice University research community to determine key areas of current and projected need related to data and research computing. The results will be used to inform services and support provided by Fondren Library, Research Data Services, and the Center for Research Computing. Although the results of the needs assessment may not generalize outside of Rice, we also hope to learn about the opportunities for interdisciplinary collaboration between the library and research computing and to share those insights with the greater research community. Data were collected through an online survey administered to all faculty, research staff, and graduate students at Rice.