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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
Part
GWF-PW: Prairie Water
Related Research Project(s)
Related ProjectPart
GWF-PW: Prairie Water
Dataset Title
Mixed methods for examining prairie water governance
Additional Information
GeoNetwork record: www.gwfnet.net/geonetwork/srv/eng/catalog.search#/metadata/558eae60-36cb-456b-8d13-4cc565532862
Creators and Contributors
NameRoleEmailInstitution
Graham Strickert
Principal Investigator
graham.strickert@usask.ca
University of Saskatchewan
Anuja Thapa
Researcher
University of Saskatchewan
Ashleigh Duffy
Researcher
University of Saskatchewan
Hamid Rashidi
Researcher
University of Saskatchewan
Abstract
This dataset includes:
A. Fuzzy cognitive maps from the Mistawasis Flood Management Workshop
- Quantitative and qualitative analysis of fuzzy cognitive maps
- Audio recordings of of workshop
- Photos of fuzzy cognitive maps.

B. Qualitative interviews about the function of storytelling in Source Water Protection Planning. Audio recording and transcription of interviews with 14 stakeholders involved in source water protection planning.

C. Experimental decision lab (with 80 people)
- Pre- and post-workshop surveys
- Audio recordings of focus groups
- Paper sheets of teams decision for three scenarios
- Expressed preferences for different kinds of evidence
Purpose
The governance theme of the GWF project "Prairie Water" assesses the current state of prairie governance and its representativeness of public and stakeholder water needs. It also assesses components of water sharing relationships and those components that influence cooperation among communities to co-produce solutions to water issues. This work is done through three major projects: (A) Flood Risk Planning in Mistawasis Nêhiyawak, (B) Source Water Planning and Sharing Water Stories in the North Saskatchewan River Basin, and (C) Exploring Decision-Making in Water Management using Experimental Decision Laboratories.
Plain Language Summary
The data for the Prairie Water Governance theme involves both qualitative and quantitative data. It includes: interview and focus group recordings, photos survey responses, decision lab choices, and fuzzy cognitive maps.
Keywords
Keyword
water governance
decision labs
qualitative interviews
focus groups
Temporal Extent
Begin Date
End Date
2018-10-10
2020-01-21
Research Site Description (if needed)
Canadian Prairies
Status of data collection/production
○ Planned
◉ In Progress
○ Abandoned
○ Complete
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
◉ As needed
○ Irregular
○ None planned
○ Unknown
Creation Software
SoftwareVersionFile Formats
Nvivo
12
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
◻ Field collected samples
◻ Field experiment
◻ Field observation
◻ Field survey
◻ Human biological samples
▣ Lab experiment
◻ Model simulation
◻ Previously collected
▣ Qualitative (from observations or interviews)
▣ Social survey
▣ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Does the data have access restrictions?
◻ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
▣ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
▣ CSV files (.csv - comma or tab separated value files)
◻ Excel document files (.xlsx, .xls)
◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
◻ NetCDF files (.netcdf, .nc)
▣ Text files (.txt)
◻ Word document files (.docx, .doc)
▣ Other (Please specify in field below)
Other Data Formats (if applicable)
Nvivo projects and database
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T-2020-12-03-E1ikkIBpFcUuCxZhO4McgGA Dataset 1.2