Data Publication

Logo of NSF and DesignSafe-CI

CONVERGE has partnered with DesignSafe—which is the web-based cyberinfrastructure platform for the National Science Foundation Natural Hazards Engineering Research Infrastructure (NSF-NHERI) network— to develop a novel social science and interdisciplinary data model for natural hazards research. 

This data model, which was released in April 2020, allows social and behavioral scientists and members of interdisciplinary teams, for the first time, to publish legacy datasets as well as new qualitative, quantitative, and mixed methods field research data specific to hazards and disaster research. In addition, the data model is robust enough for researchers to publish data collection protocols, research instruments, and Institutional Review Board (IRB) protocols. Through expanding the potential for researchers to have a Digital Object Identifier (DOI) assigned to their datasets and data collection instruments and protocols, the vision is to advance the possibility for richer collaboration and more cross-geographic site, cross-disciplinary, and cross-hazards replication within the disaster social science and engineering fields.

“Most researchers currently share their data either as supplementary material to a journal article or in an independent data repository….Repositories also allow researchers to make data curation part of their ongoing workflow, rather than an additional task at the end of the publication process.”

Source: “A Love Letter to Your Future Self”: What Scientists Need to Know About FAIR Data, 2019

Motivating Examples

CONVERGE Data Ambassadors have published data, research protocols, instruments, reports, toolkits, and various other materials using the new data model. For a list of recent publications and other motivating examples, visit the Data Ambassadors page.

CONVERGE Data Publication Advisory Committee

We gratefully acknowledge the contributions of Anna Braswell of the University of Florida, David Hondula of Arizona State University, and Elaina Sutley of the University of Kansas. They provided invaluable feedback for the initial development of the social science and interdisciplinary data model.

DesignSafe Presents:

How Not To Lose Your Data (Don't be a Fred)

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