Improving Reproducibility in Earth Science Research

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Improving Reproducibility in Earth Science Research - Eos.pdf (1.16 MB)

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https://eos.org/opinions/improving-reproducibility-in-earth-science-research

Permanent Link

https://doi.org/10.1029/2019EO136216
 http://hdl.handle.net/11603/31595

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UMBC Information Systems Department
UMBC Center for Accelerated Real Time Analysis
UMBC Center for Real-time Distributed Sensing and Autonomy
UMBC Computer Science and Electrical Engineering Department
UMBC Data Science
UMBC Faculty Collection
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Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0002-9933-1170
 https://orcid.org/0000-0002-5989-8543

Date

2019-10-30

Type of Work

articles
Text

Department

Program

Citation of Original Publication

Liu, Z.,Wang, J.,Pan, S., and Meyer, D. (2019), Improving reproducibility in Earth science research, Eos, 100. Published on 30 October 2019. https://doi.org/10.1029/2019EO136216.

Rights

This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0 Universal

Subjects

UMBC Big Data Analytics Lab

Abstract

Earth scientists need software technology that better integrates legacy data with current and future processing capabilities so they can assess and reproduce their colleagues’ results.