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Balancing Formalization and Representation in Cross-Domain Data Management for Sustainable Development

Balancing Formalization and Representation in Cross-Domain Data Management for Sustainable Development

Paolo Diviacco, Adam Leadbetter
Copyright: © 2017 |Pages: 24
ISBN13: 9781522507000|ISBN10: 1522507000|EISBN13: 9781522507017
DOI: 10.4018/978-1-5225-0700-0.ch002
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MLA

Diviacco, Paolo, and Adam Leadbetter. "Balancing Formalization and Representation in Cross-Domain Data Management for Sustainable Development." Oceanographic and Marine Cross-Domain Data Management for Sustainable Development, edited by Paolo Diviacco, et al., IGI Global, 2017, pp. 23-46. https://doi.org/10.4018/978-1-5225-0700-0.ch002

APA

Diviacco, P. & Leadbetter, A. (2017). Balancing Formalization and Representation in Cross-Domain Data Management for Sustainable Development. In P. Diviacco, A. Leadbetter, & H. Glaves (Eds.), Oceanographic and Marine Cross-Domain Data Management for Sustainable Development (pp. 23-46). IGI Global. https://doi.org/10.4018/978-1-5225-0700-0.ch002

Chicago

Diviacco, Paolo, and Adam Leadbetter. "Balancing Formalization and Representation in Cross-Domain Data Management for Sustainable Development." In Oceanographic and Marine Cross-Domain Data Management for Sustainable Development, edited by Paolo Diviacco, Adam Leadbetter, and Helen Glaves, 23-46. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0700-0.ch002

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Abstract

Sustainable development is grounded in complex systems where phenomena and processes are so interrelated and intermingled that they can only be studied in a multiple disciplinary manner. Limitiations in understanding such systems can be identified that are either epistemic and cognitive or socio-economic. Both cases are problematic for collaborative and multidisciplinary studies in sustainable development. This chapter explores these difficulties with a particular focus on data management, an activity that is at the same time very important and very sensitive to such problems. To allow users to find their way through data and information spaces, solutions are proposed that take advantage of either the formalization of knowledge; or of representations, such as schemas, mind maps or graphs. Through a careful balance of these two pathways this chapter demonstrates that it is possible to mitigate the difficulties mentioned above and allow a community to work together at profit.

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