Harmonizing the Metadata Among Diverse Climate Change Datasets.
Abstract
One of the critical problems in the curation of research data is the harmonization of its internal metadata schemata. The value of harmonizing such data is well illustrated by the Berkeley Earth project, which successfully integrated into one metadata schema the raw climate datasets from a wide variety geographical sources and time periods (250 years). Doing this enabled climate scientists to calculate a more accurate estimate of the recent changes in Earth’s average land surface temperatures and to ascertain the extent to which climate change is anthropogenic.
This paper surveys some of the approaches that have been taken to the integration of data schemata in general and examines some of the specific metadata features of the source surface temperature datasets that were harmonized by Berkeley Earth. The conclusion drawn from this analysis is that the original source data and the Berkeley Earth common format provides a promising training set on which to apply machine learning methods.....
Resource URL
http://www.ijdc.net/article/view/10.1.268Journal
International Journal of Digital CurationVolume
10Page Range
pp.268-279Document Language
enSustainable Development Goals (SDG)
14.AMaturity Level
TRL 2 Technology concept and/or application formulatedBest Practice Type
Manual (incl. handbook, guide, cookbook etc)DOI Original
10.2218/ijdc.v10i1.367Citation
Vellino. A. (2015) Harmonizing the Metadata Among Diverse Climate Change Datasets. International Journal of Digital Curation, 10, pp.268–279. DOI: 10.2218/ijdc.v10i1.367Collections
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