Defining, collecting, and sharing perishable disaster data

Author:

Adams Rachel M.1,Evans Candace M.2,Peek Lori3

Affiliation:

1. Research Associate, Natural Hazards Center University of Colorado Boulder United States

2. Doctoral Candidate, Department of Sociology, and Graduate Research Assistant, Natural Hazards Center University of Colorado Boulder United States

3. Professor, Department of Sociology, and Director, Natural Hazards Center University of Colorado Boulder United States

Abstract

Researchers across disciplines have long sought to collect ‘perishable data’ in the context of disasters. Yet, this data type is neither consistently defined nor discussed in specific detail in the literature. To address this gap, this paper defines perishable data and provides guidance on ways to improve both how it is collected and shared. Here, perishable data is conceptualised as highly transient data that may degrade in quality, be irrevocably altered, or be permanently lost if not gathered soon after it is generated. Perishable data may include ephemeral information that must be collected to characterise pre‐existing hazardous conditions, near‐miss events, actual disasters, and longer‐term recovery processes. This data may need to be gathered at multiple points in time across varying geographic scales to accurately characterise exposure, susceptibility to harm, or coping capacity. The paper considers ethical and logistical challenges and discusses opportunities to advance equitable perishable data collection and dissemination.

Funder

National Science Foundation

Centers for Disease Control and Prevention

Publisher

Wiley

Subject

General Earth and Planetary Sciences,General Social Sciences

Reference107 articles.

1. Adams B.J.et al. (2004)Collection of Satellite‐Referenced Building Damage Information in the Aftermath of Hurricane Charley. Field Report.https://hazards.colorado.edu/uploads/basicpage/qr168.pdf(last accessed on 4 July 2023).

2. Social vulnerability and disasters: development and evaluation of a CONVERGE training module for researchers and practitioners

3. Adams R. M.Esteva andL.Peek(2020)Guidance for Data Management Plans. CONVERGE Extreme Events Research Check Sheets Series. 19 May.https://doi.org/10.17603/ds2-ycz2-xc47(last accessed on 4 July 2023).

4. The Ethnography of Collaboration: Navigating Power Relationships in Joint Research

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