Harmonizing the Metadata Among Diverse Climate Change Datasets.
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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.....
JournalInternational Journal of Digital Curation
Sustainable Development Goals (SDG)14.A
Maturity LevelTRL 2 Technology concept and/or application formulated
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
CitationVellino. A. (2015) Harmonizing the Metadata Among Diverse Climate Change Datasets. International Journal of Digital Curation, 10, pp.268–279. DOI: 10.2218/ijdc.v10i1.367
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