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Volume 12, issue 4 | Copyright
Clim. Past, 12, 1093-1100, 2016
https://doi.org/10.5194/cp-12-1093-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Technical note 29 Apr 2016

Technical note | 29 Apr 2016

Technical note: The Linked Paleo Data framework – a common tongue for paleoclimatology

Nicholas P. McKay1 and Julien Emile-Geay2 Nicholas P. McKay and Julien Emile-Geay
  • 1School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011, USA
  • 2Department of Earth Sciences & Center for Applied Mathematical Sciences, University of Southern California, Los Angeles, CA 90089, USA

Abstract. Paleoclimatology is a highly collaborative scientific endeavor, increasingly reliant on online databases for data sharing. Yet there is currently no universal way to describe, store and share paleoclimate data: in other words, no standard. Data standards are often regarded by scientists as mere technicalities, though they underlie much scientific and technological innovation, as well as facilitating collaborations between research groups. In this article, we propose a preliminary data standard for paleoclimate data, general enough to accommodate all the archive and measurement types encountered in a large international collaboration (PAGES 2k). We also introduce a vehicle for such structured data (Linked Paleo Data, or LiPD), leveraging recent advances in knowledge representation (Linked Open Data).

The LiPD framework enables quick querying and extraction, and we expect that it will facilitate the writing of open-source community codes to access, analyze, model and visualize paleoclimate observations. We welcome community feedback on this standard, and encourage paleoclimatologists to experiment with the format for their own purposes.

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The lack of accepted data formats and data standards in paleoclimatology is a growing problem that slows progress in the field. Here, we propose a preliminary data standard for paleoclimate data, general enough to accommodate all the proxy and measurement types encountered in a large international collaboration (PAGES 2k). We also introduce a data format for such structured data (Linked Paleo Data, or LiPD), leveraging recent advances in knowledge representation (Linked Open Data).
The lack of accepted data formats and data standards in paleoclimatology is a growing problem...
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