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| Type: | Resource | |
| Storage: | The size of this resource is 842.0 KB | |
| Created: | Feb 17, 2022 at 3:23 p.m. | |
| Last updated: | Jun 04, 2022 at 5:21 a.m. (Metadata update) | |
| Published date: | Jun 04, 2022 at 5:21 a.m. | |
| DOI: | 10.4211/hs.15b1a61f47724a6e8deb100789353df2 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 962 |
| Downloads: | 15 |
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Abstract
This resource contains the results of interviews and surveys of instructors of hydroinformatics and water data science courses in the United States conducted in Fall 2021. Potential participants were initially identified via investigator connections, review of relevant literature, and information on institutional and personal websites discovered by Internet searches. Target participants were selected based on their experience teaching hydroinformatics, water data science, or related subject matter at an institution of higher education. We used email to invite contacts to participate, and participants elected to respond to questions either via online survey or recorded interview. During each interview or survey, participants were asked to identify any additional instructors who might be a good fit for the project. The survey was composed using Qualtrics software and administered with links personalized for each participant. Interviews were conducted over Zoom, recorded, and subsequently transcribed. Each interview lasted approximately 45-60 minutes. Procedures were approved by the Utah State University Institutional Review Board for Human Subjects Research with participation limited to instructors within the United States.
This resource contains the list of questions asked to each participant, interview transcripts, and survey responses. Participant names and institutions have been removed from the files.
This resource contains supporting data for the paper Jones AS, Horsburgh JS, Bastidas Pacheco CJ, Flint CG and Lane BA (2022) Advancing Hydroinformatics and Water Data Science Instruction: Community Perspectives and Online Learning Resources. Front. Water 4:901393. doi: 10.3389/frwa.2022.901393.
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Related Resources
| This resource is referenced by | Jones AS, Horsburgh JS, Bastidas Pacheco CJ, Flint CG and Lane BA (2022) Advancing Hydroinformatics and Water Data Science Instruction: Community Perspectives and Online Learning Resources. Front. Water 4:901393. doi: 10.3389/frwa.2022.901393 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | Collaborative Research: Elements: Advancing Data Science and Analytics for Water (DSAW) | 1931297 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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