群體資料的共享與治理

Institute of Networked Cultures 於 2019 年初出版 Good Data 一書,其中收錄了何之行與莊庭瑞合寫的 Governance of Communal Data Sharing,該文借鏡 Elinor Ostrom 在共享治理自然資源的洞見,對群體資料共享 (Communal Data Sharing) 提出看法,並探詢可行的治理取向。

論文摘要:

This article proposes theoretical and computational approaches to the analysis of an alternative data sharing model, which is based on community participation in decision making and self-governance. When we talk about ‘community’, we use this term in a non-conventional way. We try not to see community as a fixed group or a predefined collective identity. Rather, it refers to a set of ongoing engagement and practices of group making. In other words, it is this dynamic process of community making — acts of mutual support, negotiation and experimentation, as David Bollier has argued — that are needed to build innovative systems to manage shared resources. Along with these curiosities, we consider several examples, such as user data cooperatives and collaborative data projects, to further explore how a community is formed and how the governance of communal data sharing is being established. We will then develop frameworks for the governance of communal data sharing by combining common pool resource management and a socio-legal perspective on the commons.

論文連結: http://media.academia.tw/u/trc/m/chapter-12-good-data/

論文全文:

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