Publication Abstracts

Bush et al. 2020

Bush, R., A. Dutton, M. Evans, R. Loft, and G.A. Schmidt, 2020: Perspectives on data reproducibility and replicability in paleoclimate and climate science. Harvard Data Sci. Rev., 2, no. 4, doi:10.1162/99608f92.00cd8f85.

This paper summarizes the current state of reproducibility and replicability in the fields of climate and paleoclimate science, including brief histories of their development and applications in climate science, new and recent approaches towards improvement of reproducibility and replicability, and challenges. Recommendations for addressing those challenges include: development of searchable, auto-updated, interlinked, multi-archive public paleoclimate repositories for raw and processed digital datasets; cross-center standardized code base cases, improved data storage techniques, and a focus on replicability for climate simulation storage and access; and support of the development and community awareness of findable, accessible, interoperable and reusable (FAIR) principles by funding agencies and publishers. This paper is largely based on the May 2018 presentations of a panel of researchers to the Committee on Reproducibility and Replicability in Science, part of the National Academies of Science, Engineering, and Medicine. The commentary and recommendations made here are in alignment with those of its Consensus Study Report on Reproducibility and Replicability in Science (2019).

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BibTeX Citation

@article{bu08100s,
  author={Bush, R. and Dutton, A. and Evans, M. and Loft, R. and Schmidt, G. A.},
  title={Perspectives on data reproducibility and replicability in paleoclimate and climate science},
  year={2020},
  journal={Harvard Data Sci. Rev.},
  volume={2},
  number={4},
  doi={10.1162/99608f92.00cd8f85},
}

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RIS Citation

TY  - JOUR
ID  - bu08100s
AU  - Bush, R.
AU  - Dutton, A.
AU  - Evans, M.
AU  - Loft, R.
AU  - Schmidt, G. A.
PY  - 2020
TI  - Perspectives on data reproducibility and replicability in paleoclimate and climate science
JA  - Harvard Data Sci. Rev.
VL  - 2
IS  - 4
DO  - 10.1162/99608f92.00cd8f85
ER  -

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