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Waterproofing Data Project: Flood Memory Interviews, Transcript Data, 2018-2021
Creator
Lima-Silva, F, Fundacao Getulio Vargas, São Paulo, Brazil
Martins, M, Fundacao Getulio Vargas, São Paulo, Brazil
Study number / PID
857007 (UKDA)
10.5255/UKDA-SN-857007 (DOI)
Data access
Open
Series
Not available
Abstract
The Waterproofing Data project explored how to build communities’ resilience to flooding, by engaging them in the process of generating the data used to predict when floods will occur. The project team developed a functional citizen-science mobile app prototype and a model school curriculum, which has been successfully co-produced and trialled with more than 300 students from over 20 schools and civil protection agencies of five Brazilian states (Acre, Mato Grosso, Pernambuco, Santa Catarina and Sao Paulo). The app and curriculum enabled the communities involved to democratise flood data, raise awareness of flood risks, and co-design new initiatives to reduce disaster risks to communities.
The project invited participants to share their memories about past flooding events, the impacts they caused in their communities and their overall perception of risks. Participants were already engaged through participatory action research workshops held across the project. The researchers audio-recorded the interviews and then generated the transcripts; participant names were pseudonymised for the deposit, and the records were safely deleted. The only names that appear on the transcripts are those of the researcher who conducted the interview. This collection aims to provide future researchers with a sense of the perceptions shared across our project and potential future analysis.
All documents are written in Portuguese.Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to scientific "centres of expertise", and then flood-related alerts and interventions flow back down through local governments and into communities. Rethinking how flood-related data is produced, and how it flows, can help build sustainable, flood resilient communities.
To this end, this project develops three innovative methods around data practices, across different...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/10/2018 - 30/09/2021
Country
Brazil
Time dimension
Not available
Analysis unit
Group
Universe
Not available
Sampling procedure
Not available
Kind of data
Text
Data collection mode
Researchers carried out semi-structured interviews with participants and motivated conversations about risk perceptions with them. The audio records were used for transcripts and later deleted. Transcripts removed participants’ personal identifiers for the deposit. The process minimised personal data collection, and data pseudonymisation strategies were adopted to minimise the risk of reidentification.
Funding information
Grant number
ES/S006982/1
Access
Publisher
UK Data Service
Publication year
2024
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.