'Sharing is caring': A socio-technical analysis of the sharing and governing of hydrometeorological hazard, impact, vulnerability, and exposure data in Aotearoa New Zealand. (January 2022)
- Record Type:
- Journal Article
- Title:
- 'Sharing is caring': A socio-technical analysis of the sharing and governing of hydrometeorological hazard, impact, vulnerability, and exposure data in Aotearoa New Zealand. (January 2022)
- Main Title:
- 'Sharing is caring': A socio-technical analysis of the sharing and governing of hydrometeorological hazard, impact, vulnerability, and exposure data in Aotearoa New Zealand
- Authors:
- Harrison, Sara E.
Potter, Sally H.
Prasanna, Raj
Doyle, Emma E.H.
Johnston, David - Abstract:
- Abstract: There has been a growing recognition of the need to collect disaster and risk data over the last two decades. Accordingly, better collection and management of disaster data was identified as a priority of the Sendai Framework for Disaster Risk Reduction. The introduction and implementation of Impact Forecasts and Warnings (IFWs) have further highlighted this need to collect and access hazard, impact, vulnerability, and exposure (HIVE) data. However, challenges have been met with reporting and using disaster data, which have resulted in an identified need to establish principles for data collection, recording, reporting, exchange/sharing, and comparability. This introduces the concept of data governance and management for disaster data, particularly with regards to data custodianship, stewardship, and sharing. Using Grounded Theory, a series of interviews were conducted with users and creators of HIVE data to develop further understanding around managing and accessing it for severe weather hazards in New Zealand. A socio-technical lens guided the analysis to identify the organisational and technical intervening conditions and action/interaction strategies for accessing and sharing HIVE data in NZ. Findings indicated that there is a need to establish data governance principles for HIVE data in New Zealand. An additional need was identified for nurturing partnerships to continue building trust between stakeholders for sharing data. Furthermore, integration challengesAbstract: There has been a growing recognition of the need to collect disaster and risk data over the last two decades. Accordingly, better collection and management of disaster data was identified as a priority of the Sendai Framework for Disaster Risk Reduction. The introduction and implementation of Impact Forecasts and Warnings (IFWs) have further highlighted this need to collect and access hazard, impact, vulnerability, and exposure (HIVE) data. However, challenges have been met with reporting and using disaster data, which have resulted in an identified need to establish principles for data collection, recording, reporting, exchange/sharing, and comparability. This introduces the concept of data governance and management for disaster data, particularly with regards to data custodianship, stewardship, and sharing. Using Grounded Theory, a series of interviews were conducted with users and creators of HIVE data to develop further understanding around managing and accessing it for severe weather hazards in New Zealand. A socio-technical lens guided the analysis to identify the organisational and technical intervening conditions and action/interaction strategies for accessing and sharing HIVE data in NZ. Findings indicated that there is a need to establish data governance principles for HIVE data in New Zealand. An additional need was identified for nurturing partnerships to continue building trust between stakeholders for sharing data. Furthermore, integration challenges continue to interfere with the use of various sources of HIVE data for effective risk and impact assessments for IFWs and beyond. Systematic and standardised data collection approaches using GIS-based tools can support integration. Highlights: There is a need to establish data governance principles for HIVE data. There is a need for nurturing partnerships to build trust between stakeholders for sharing data. Integration challenges impede the use of various data sources for risk and impact assessments … (more)
- Is Part Of:
- Progress in disaster science. Volume 13(2022)
- Journal:
- Progress in disaster science
- Issue:
- Volume 13(2022)
- Issue Display:
- Volume 13, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 13
- Issue:
- 2022
- Issue Sort Value:
- 2022-0013-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- Impact-based warnings -- Severe weather -- Risk data -- Impacts -- Vulnerability -- Exposure
IFW Impact Forecast and Warning -- HIVE Hazard, Impact, Vulnerability, and Exposure -- DRR Disaster Risk Reduction -- IRDR Integrated Research on Disaster Risk -- EWS Early Warning System -- NHP Natural Hazards Partnership -- LINZ Land Information New Zealand -- NZTA New Zealand Transport Agency -- NMS National Meteorological Service -- ES-GT Evolved-Straussian Grounded Theory -- CDEM Civil Defence and Emergency Management -- EM Emergency Management -- NEMA National Emergency Management Agency -- GNS Science Institute of Geological and Nuclear Sciences Limited -- NIWA National Institute of Water and Atmospheric Research Limited -- NZGIS4EM New Zealand Geographic Information Systems for Emergency Management -- GIS Geographic Information Systems -- COP Common Operating Picture -- CAP Common Alerting Protocol -- FENZ Fire and Emergency New Zealand -- IDSS Impact-based Decision Support System
Disasters -- Periodicals
Disaster relief -- Planning -- Periodicals
Emergency management -- Periodicals
363.3405 - Journal URLs:
- http://www.sciencedirect.com/ ↗
- DOI:
- 10.1016/j.pdisas.2021.100213 ↗
- Languages:
- English
- ISSNs:
- 2590-0617
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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