Sharing data and code facilitates reproducible and impactful research

Date

2024-01-01

Author

Baker, Jack W
Crowley, Helen
Wald, David
Rathje, Ellen
Au, Siu-Kui
Bradley, Brendon A
Burton, Henry
Cabas, Ashly
Cattari, Serena
Cauzzi, Carlo
Cavalieri, Francesco
Contreras, Santina
Costa, Rodrigo
Eguchi, Ronald T
Lallemant, David
Lignos, Dimitrios G
Maurer, Brett W
Molina Hutt, Carlos
Sextos, Anastasios
Seyhan, Emel
Silva, Vitor
Sucuoğlu, Haluk
Taciroglu, Ertugrul
Thompson, Eric M

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Modern research often involves the collection or analysis of data and the use of specialized computer algorithms. Traditional text articles thus provide only partial documentation of a research study. Readers have limited ability to reproduce or utilize work if the source data are not available or if it relies on an algorithm that is described, but code is not provided. Fortunately, a wide variety of tools are now available to support the publication of research data and code. The effort required to publish data is now relatively small, and the benefits can be immense. This opinion article discusses trends toward increased sharing in academic publishing. It describes opportunities and resources to support data and code sharing and describes the benefits for both authors and readers. Finally, it discusses how Earthquake Spectra is providing resources and enhancing its policies to establish the sharing of data as the default procedure when publishing in the journal, and encourage the sharing of code and other resources.

Subject Keywords

data availability, open code, Open data, publishing trends, repository

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85196259276&origin=inward
https://hdl.handle.net/11511/110312

Collections

Department of Civil Engineering, Article