Examples of ecological data synthesis driven by rich metadata, and practical guidelines to use the Ecological Metadata Language specification to this end. (1st January 2011)

• Record Type: Journal Article
• Authors: San Gil, Inigo; Vanderbilt, Kristin; Harrington, Steve A.
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 6:Number 1(2011)
• Page Start: 46
• Page End: 55
• Publication Date: 2011-01-01
• Subjects: metadata -- EML -- ecological metadata language -- LTER -- long term ecological research network -- climate -- drought -- biodiversity -- data synthesis -- data integration -- machine mediated data analysis; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• DOI: 10.1504/IJMSO.2011.042489
• Languages: English
• ISSNs: 1744-2621

Abstract

We present two examples of scientific results using a semi-automated data synthesis driven by quality, rich-content metadata: 1) Antarctic climate and 2) effects of drought on biodiversity. We use a framework for semi-automated processing of data supported by quality controlled, content-rich metadata expressed in the Ecological Metadata Language (EML). We discuss a set of common practices for EML newcomers as a valuable guide for the EML use. We provide some simple tools that can be used to address quality control as the EML is generated. Based on our extended EML experience, we make recommendations about the future of EML.