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Creating value through data collaboratives

机译:通过数据协作创建价值

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Driven by the technological capabilities that ICTs offer, data enable new ways to generate value for both society and the parties that own or offer the data. This article looks at the idea of data collaboratives as a form of cross-sector partnership to exchange and integrate data and data use to generate public value. The concept thereby bridges data-driven value creation and collaboration, both current themes in the field. To understand how data collaboratives can add value in a public governance context, we exploratively studied the qualitative longitudinal case of an infomobility platform. We investigated the ability of a data collaborative to produce results while facing significant challenges and tensions between the goals of parties, each having the conflicting objectives of simultaneously retaining control whilst allowing for generativity. Taken together, the literature and case study findings help us to understand the emergence and viability of data collaboratives. Although limited by this study’s explorative nature, we find that conditions such as prior history of collaboration and supportive rules of the game are key to the emergence of collaboration. Positive feedback between trust and the collaboration process can institutionalise the collaborative, which helps it survive if conditions change for the worse.
机译:由ICT提供的技术能力驱动,数据使新方法能够为社会和拥有或提供数据的各方生成价值。本文介绍了数据协作的想法,作为跨领域伙伴关系的形式,可以交换和集成数据和数据用来生成公共值。因此,概念桥接数据驱动价值创建和协作,这两个当前主题在字段中。要了解数据协作如何在公共治理环境中增加价值,我们探讨了InfoMocient平台的定性纵向案例。我们调查了数据协作产生结果的能力,同时面临各方目标之间的重大挑战和紧张局势,各自具有同时保留控制的矛盾的目标,同时允许发电性。在一起,文献和案例研究结果有助于我们了解数据合作的出现和可行性。虽然这项研究的探索性质有限,但我们发现比如博弈的合作和支持规则历史的条件是合作兴起的关键。信任与协作过程之间的积极反馈可以使协作的能够制度化,这有助于如果条件发生变化更糟糕。

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