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NEON non-specialist use case; Science data reuse in a classroom

ED 4 1A- 0666. NEON non-specialist use case; Science data reuse in a classroom Peter Fox 1( pfox@cs.rpi.edu ) , Brian Wee 2( bwee@neoninc.orgu ) , Patrick West 1 ( westp@rpi.edu ) , James Wilson 3( wilsonjw@jmu.edu ) , Stephan Zednik 1( zednis@rpi.edu ) , Han Wang 2( wangh17@rpi.edu )

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NEON non-specialist use case; Science data reuse in a classroom

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  1. ED41A-0666 NEON non-specialist use case; Science data reuse in a classroom Peter Fox1(pfox@cs.rpi.edu), Brian Wee2(bwee@neoninc.orgu), Patrick West1 (westp@rpi.edu), James Wilson3(wilsonjw@jmu.edu), Stephan Zednik1(zednis@rpi.edu), Han Wang2(wangh17@rpi.edu) (1Tetherless World Constellation, Rensselaer Polytechnic Institute 110 8th St., Troy, NY, 12180 United States) (2NEON, 1685 38th Street, Suite 100, Boulder, CO, 80301 United States) (2James Madison University, Harrisonburg, VA, 22807 United States) Abstract We present our experience in bringing science data into the undergraduate classroom. In particular we have worked with scientists associated with the NSF-funded NEON (neoninc.org) project. We have developed a non-specialist use case aimed at undergraduate education. This exercise was developed to give the teacher/professor/facilitator the means to create a lesson plan that will allow students the opportunity to work with large, spatially diverse data sets on water quality and other ecological parameters of streams in the United States. The stream parameters investigated here are total nitrogen, total phosphorus and a macro invertebrate index for the 10 EPA regions in the contiguous US. Instructors would use this lesson as an opportunity to discuss the concept of “ecosystem health,” a controversial topic in science but with intuitive resonance among the general public. However, current research data is highly specialized, lacking understandable, or all together lacking, metadata. This metadata is highly specialized, understandable by only the science specialist, or domain expert. Also, the data and metadata is difficult to locate by a non-specialist. The scientist knows where to find the data, how to collect the data, and can understand the structure of the data and what the data means. The meaning, the knowledge, the understanding is in the minds of the scientist. Thus, specific accommodation of the semantics for non-specialists is required. We include a current description of the activity and its outcomes and discuss the effectiveness of our semantic web development methodology in developing this non-specialist use case. Content can be generated using queries from multiple locations. For example, the VSTO 3.0 data portal, currently being developed, is using query and XSLT files from its own repository and the Tetherless World Constellation repository of query files and xslt files. Acknowledgments: Sponsors: Tetherless World Constellation, Rensselaer Polytechnic Institute Glossary: CMS – Content Management System FOAF - Friend of a Friend OWL– Web Ontology Language RDFs – Resource Description Framework Schema RDFa – Resource Description Framework Attributes RPI/TWC – Rensselaer Polytechnic Institute / Tetherless World Constellation XSL– Extensible Stylesheet Language VSTO – Virtual Solar Terrestrial Observatory

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