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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Examining Trust in Collaborative Research Networks

Examining Trust in Collaborative Research Networks
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Author(s): Adam Leadbetter (British Oceanographic Data Centre, NERC, UK)
Copyright: 2015
Pages: 19
Source title: Business Law and Ethics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-8195-8.ch076

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Abstract

Ian McHarg's “The Theory of Creative Fitting” describes the collaborative integration of data into knowledge products for use in ecological architecture developments. In McHarg's system, the provenance of data layers and trust in their creators are vital to the creation of knowledge, ideas recently described as being “urgent and relevant.” This chapter begins with these ideas and explores provenance propagation and data publication. Provenance propagation has been a topic under discussion by the World Wide Web Consortium, while data publication has been a focus of the global marine science community. From these projects, the issue of uniquely identifying individuals in a distributed, collaborative network has emerged. Possible implications of this problem are discussed, as are technical solutions to the problem. The principles described within this chapter are illustrated by examples of uncertainty propagation in chained Web Processing Service networks and data publication activities at the British Oceanographic Data Centre.

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