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Data Analysis Using Open Data and Software Reveal Environment-Mediated Microbial Heterogeneity in Soil and Sediment Samples While Enhancing the STEM Research Experience at an Undergraduate Institution

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Title: Data Analysis Using Open Data and Software Reveal Environment-Mediated Microbial Heterogeneity in Soil and Sediment Samples While Enhancing the STEM Research Experience at an Undergraduate Institution
Language: English
Authors: Aditi Sengupta, Nallely Delara, Joyce Barahona, Justin Garcia
Source: Journal of College Science Teaching. 2024 53(3):229-235.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 7
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Data Analysis, Computer Software, Soil Science, Sampling, Scientific Research, Student Research, STEM Education, Undergraduate Students, Microbiology, Open Educational Resources, Information Science
Geographic Terms: California
DOI: 10.1080/0047231X.2024.2338695
ISSN: 0047-231X
1943-4898
Abstract: Undergraduate institutions serve as stepping stones to students' careers. Teaching and learning in science classrooms require quality and integrated teaching-research learning experiences that prepare students to advance their careers. Using publicly available data sets and open-access data analyses software can be impactful for engaging students in meaningful research experiences while keeping institutional expenses associated with implementing and supporting research opportunities low. In this article, we share two examples of student-led data research that utilized open data and software to analyze microbial sequence data. As part of this process, we also recognized the need for discipline-specific databases that can hold a record of publicly available data. Such a setup will support undergraduate educators and students in accessing data relevant to their requirements, thereby narrowing the gap between data availability and accessibility. Finally, both examples illustrate the benefits of using open resources in supporting student learning, with the possibility of using such resources to develop course-based undergraduate research experiences as part of course curricula.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1424366
Database: ERIC
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  Data: Data Analysis Using Open Data and Software Reveal Environment-Mediated Microbial Heterogeneity in Soil and Sediment Samples While Enhancing the STEM Research Experience at an Undergraduate Institution
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  Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
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  Label: Abstract
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  Data: Undergraduate institutions serve as stepping stones to students' careers. Teaching and learning in science classrooms require quality and integrated teaching-research learning experiences that prepare students to advance their careers. Using publicly available data sets and open-access data analyses software can be impactful for engaging students in meaningful research experiences while keeping institutional expenses associated with implementing and supporting research opportunities low. In this article, we share two examples of student-led data research that utilized open data and software to analyze microbial sequence data. As part of this process, we also recognized the need for discipline-specific databases that can hold a record of publicly available data. Such a setup will support undergraduate educators and students in accessing data relevant to their requirements, thereby narrowing the gap between data availability and accessibility. Finally, both examples illustrate the benefits of using open resources in supporting student learning, with the possibility of using such resources to develop course-based undergraduate research experiences as part of course curricula.
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        Type: general
      – SubjectFull: Computer Software
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      – SubjectFull: Soil Science
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      – SubjectFull: Sampling
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      – SubjectFull: Microbiology
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      – SubjectFull: Open Educational Resources
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      – SubjectFull: Information Science
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      – SubjectFull: California
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      – TitleFull: Data Analysis Using Open Data and Software Reveal Environment-Mediated Microbial Heterogeneity in Soil and Sediment Samples While Enhancing the STEM Research Experience at an Undergraduate Institution
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