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Network Centrality Values of 30 Cases of Biopiracy

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DataCite Commons2025-05-01 更新2025-05-17 收录
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This document is published to supplement the document titled “A Social Network Perspective on the 30 Cases Of Biopiracy: Background Information and Sources” previously published on Mendeley Data and the chapter titled “Unveiling the Legal Geography of Biopiracy of Genetic Resources and Traditional Knowledge Using Social Network Analysis” to be published in Legal Geographies of Intellectual Property (editors: Jenny Kanellopoulou and Smita Kheria). The content of this document is the result of the social network analysis conducted by the author on 30 selected cases of biopiracy. It provides social network centrality values for each case, including degree (in-degree and out-degree), closeness, betweenness, and Eigenvector centrality. To arrive at this data, the author has conducted a comprehensive and in-depth review of the existing literature on biopiracy cases based on a systematic online search. The literature includes a wide spectrum of published legal and scientific research, project reports, legal documents related to access and benefit-sharing agreements, newspapers, and patent records. The cases have been carefully scrutinized, drawing from a multitude of sources to minimize the risk of misinformation and altered narratives regarding the flow of genetic resources and the associated traditional knowledge, as well as the position of specific nodes within the network. The resulting set of 30 cases primarily involves instances of misappropriation and patenting of genetic resources, with a smaller number involving traditional knowledge. The use of any content in this document must be accompanied by a proper citation to the open data titled “A Social Network Perspective on the 30 Cases Of Biopiracy: Background Information and Sources” previously published on Mendeley as well as the chapter titled “Unveiling the Legal Geography of Biopiracy of Genetic Resources and Traditional Knowledge Using Social Network Analysis” to be published in Legal Geographies of Intellectual Property (editors: Jenny Kanellopoulou and Smita Kheria).
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Mendeley Data
创建时间:
2024-09-17
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