Sharing data is highly potent in assisting companies in internal optimization and designing new products and services. While the benefits seem obvious, sharing data is accompanied by a spectrum of concerns ranging from fears of sharing something of value, unawareness of what will happen to the data, or simply a lack of understanding of the short- and mid-term benefits. The article analyzes data sharing in inter-organizational relationships by examining 13 cases in a qualitative interview study and through public data analysis. Given the importance of inter-organizational data sharing as indicated by large research initiatives such as Gaia-X and Catena-X, we explore issues arising in this process and formulate research challenges. We use the theoretical lens of Actor-Network Theory to analyze our data and entangle its constructs with concepts in data sharing.

中文翻译：

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组织间数据共享的问题：实践和研究挑战的发现

共享数据对于协助企业内部优化以及设计新产品和服务非常有效。虽然好处似乎显而易见，但共享数据也伴随着一系列担忧，包括担心共享有价值的东西、不知道数据会发生什么，或者只是缺乏对短期和中期好处的了解。本文通过定性访谈研究中的 13 个案例和公共数据分析，分析了组织间关系中的数据共享。鉴于 Gaia-X 和 Catena-X 等大型研究计划所表明的组织间数据共享的重要性，我们探讨了这一过程中出现的问题并提出了研究挑战。我们使用行动者网络理论的理论视角来分析我们的数据，并将其结构与数据共享中的概念结合起来。