The paper highlights the importance of data sustainability in the data infrastructures aimed at long-term knowledge discoveries. Data sustainability refers to data's capacity to endure across technological and human generations, and it problematizes the data governance literature from a temporal perspective. Existing work has already moved the literature from the organizational setting to more complex interorganizational settings, highlighting discrepancies between normative data governance models and organizational practices. We broaden this literature temporally by examining and outlining research directions for data sustainability from different meta-theoretical perspectives – evolutionary, relational, and durational. Data sustainability across technological and human generations navigates complementary and competing temporal demands: Data need to transition across socio-technical regimes over time, yet be embedded in social and material networks to be meaningful; historical and present data also must remain available and accessible in near and distant futures, for going back in time and seeing new data linkages and combinations. We argue that data sustainability is critical in ensuring progression in social and environmental sustainability. The paper contributes both to data governance and sustainability literatures.

本文强调了数据可持续性在旨在长期发现知识的数据基础设施中的重要性。数据可持续性是指数据在技术和人类世代之间的持久性，它从时间的角度对数据治理文献提出了问题。现有工作已经将文献从组织环境转移到更复杂的组织间环境，突出了规范数据治理模型与组织实践之间的差异。我们通过从不同的元理论角度（进化的、关系的和持续的）检查和概述数据可持续性的研究方向，暂时拓宽了这些文献。跨技术和人类世代的数据可持续性应对互补和竞争的时间需求：数据需要随着时间的推移跨越社会技术制度，但要嵌入到社会和物质网络中才有意义；历史和当前数据还必须在近期和遥远的未来保持可用和可访问性，以便及时回溯并查看新的数据关联和组合。我们认为，数据可持续性对于确保社会和环境可持续性的进步至关重要。该论文对数据治理和可持续性文献都有贡献。我们认为，数据可持续性对于确保社会和环境可持续性的进步至关重要。该论文对数据治理和可持续性文献都有贡献。我们认为，数据可持续性对于确保社会和环境可持续性的进步至关重要。该论文对数据治理和可持续性文献都有贡献。