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Great Lakes AOC Revitalization Survey of 46 Federal employees in 2020
The survey assessed the likelihood that BUI removal would positively impact a community revitalization response (attributes derived via Directed Content Analysis) with the statement: “Provide your opinion on the likelihood that removing this BUI will positively impact the following revitalization attributes.” Each statement was accompanied by a description of the BUI and a matrix of the 15 revitalization attributes established in the above process. Revitalization attribute definitions were provided via the hover feature. Responses were given on a 5-point Likert scale from “very unlikely” (1), “somewhat unlikely” (2), “neutral” (3), “somewhat likely” (4), to “very likely” (5).
This dataset is associated with the following publication:
Norris, C., C. Nigrelli, T. Newcomer Johnson, D. White, G. Beaubien, A. Pelka, and M. Mills. Defining community revitalization in Great Lakes Areas of Concern and investigating how revitalization can be catalyzed through remediation and restoration. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(6): 1432-1443, (2022).
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Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Tamara Newcomer Johnson", "hasEmail": "mailto:newcomer-johnson.tammy@epa.gov" } |
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1523369/documents/Table%201.pdf |
| describedByType | application/pdf |
| description | The survey assessed the likelihood that BUI removal would positively impact a community revitalization response (attributes derived via Directed Content Analysis) with the statement: “Provide your opinion on the likelihood that removing this BUI will positively impact the following revitalization attributes.” Each statement was accompanied by a description of the BUI and a matrix of the 15 revitalization attributes established in the above process. Revitalization attribute definitions were provided via the hover feature. Responses were given on a 5-point Likert scale from “very unlikely” (1), “somewhat unlikely” (2), “neutral” (3), “somewhat likely” (4), to “very likely” (5). This dataset is associated with the following publication: Norris, C., C. Nigrelli, T. Newcomer Johnson, D. White, G. Beaubien, A. Pelka, and M. Mills. Defining community revitalization in Great Lakes Areas of Concern and investigating how revitalization can be catalyzed through remediation and restoration. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(6): 1432-1443, (2022). |
| distribution |
[ { "title": "Qualtrics Report.pdf", "mediaType": "application/pdf", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523369/Qualtrics%20%20Report.pdf" } ] |
| identifier | https://doi.org/10.23719/1523369 |
| keyword |
[ "Beneficial Use Impairment", "R2R2R", "riverfront", "social-ecological system", "sustainability" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2021-09-03 |
| programCode |
[ "020:000" ] |
| publisher |
{ "name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": { "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } } |
| references |
[ "https://doi.org/10.1016/j.jglr.2022.05.006" ] |
| rights |
null
|
| title | Great Lakes AOC Revitalization Survey of 46 Federal employees in 2020 |
