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e-Research Collaboration pp 133–151Cite as

The Butterfly Effect: An Approach to Web-Based Scientific Data Distribution and Management with Linkages to Climate Data and the Semantic Web

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Abstract

Environmental scientists generating longitudinal data that reliably track changes in biodiversity face additional challenges of data management and dissemination. An open source web framework can be used effectively to manage datasets while making research available at different levels of expertise, including for public environmental education. This chapter discusses the development of a web framework which links long-term butterfly presence/absence data with regional weather data, allowing researchers to investigate the relationship between butterfly populations and climate change, over time. The chapter concludes with a discussion of the semantic web, and how observational and monitoring data can become part of the growing Linked Data project.

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Acknowledgments

This work is supported by NSF Biological Databases and Informatics Grant DBI-0317483 and NSF Semantic web grant IIS-0326460, which also helped fund the integration with National Biological Information Infrastructure (NBII) and the California Information Node (CAIN).

The butterfly database was originally designed by Tom Starbuck and Marat Gubaydullin at the Information Center for the Environment. We thank Jim Ashby from the Western Regional Climate Center for his assistance in supporting our project.

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Authors and Affiliations

  1. Geography Graduate Group, University of California, Davis, 1 Shields Ave., Davis, CA, 95616, USA

    David P. Waetjen

Authors
  1. David P. Waetjen
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  2. James H. Thorne
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  3. Allan D. Hollander
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  4. Arthur M. Shapiro
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  5. James F. Quinn
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Corresponding author

Correspondence to David P. Waetjen .

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Editors and Affiliations

  1. Dept. Management, Drexel University, 32nd & Chestnut Streets, Philadelphia, 19104, USA

    Murugan Anandarajan

  2. Dept. Management, Drexel University, 32nd & Chestnut Streets, Philadelphia, 19104, USA

    Murugan Anandarajan

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© 2010 Springer-Verlag Berlin Heidelberg

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Waetjen, D.P., Thorne, J.H., Hollander, A.D., Shapiro, A.M., Quinn, J.F. (2010). The Butterfly Effect: An Approach to Web-Based Scientific Data Distribution and Management with Linkages to Climate Data and the Semantic Web. In: Anandarajan, M., Anandarajan, M. (eds) e-Research Collaboration. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12257-6_9

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