Many nations have been investing significant funds in cyberinfrastructure for sciences (commonly known as “CI” or “e-science”) in the last few decades. The purpose of these investments has been to advance scientific progress in the supported scientific disciplines such as biodiversity and ecological research. However, there is scare research on how these CI investments impact scientific progress. We conducted a longitudinal case study of CI development and scientific progress based on the Long Term Ecological Research (LTER) program in the United States. We contribute to filling in the research gap by finding CI investments result in impacts both internal and external to the particular discipline of biodiversity. We also find a feedback effect from the discipline to CI development, such that the science and its supporting CI coevolve. The coevolution of CI development and the scientific discipline hinges on the “linking-pin” of data infrastructure. The large-scale data sharing within the discipline and across disciplines, in turn, is contingent on CI governance and how data are structured. The identification of the synergistic coevolution of CI and science enriches coevolutionary theories as well as CI development research. Accordingly, further research and policy changes relating to why and how to fund CI development for sciences, are necessary.

在过去的几十年中，许多国家一直在为科学的网络基础设施（通常称为“ CI”或“ e-science”）投入大量资金。这些投资的目的是促进生物多样性和生态研究等受支持的科学学科的科学进步。但是，关于这些CI投资如何影响科学进步的研究很少。我们基于美国的长期生态研究（LTER）计划，对CI发展和科学进步进行了纵向案例研究。我们通过发现CI投资对生物多样性特定学科的内部和外部影响产生影响，为填补研究空白​​做出了贡献。我们还发现从学科到CI开发的反馈效应，使得科学及其支持的CI不断发展。CI开发和科学学科的共同发展取决于数据基础架构的“链接针”。反过来，学科内部和跨学科的大规模数据共享取决于CI治理以及数据的结构。CI和科学的协同协同进化的识别丰富了协同进化理论以及CI发展研究。因此，有必要对有关为何以及如何为科学的CI开发提供资金的进一步研究和政策变化。CI和科学的协同协同进化的识别丰富了协同进化理论以及CI发展研究。因此，有必要对有关为何以及如何为科学的CI开发提供资金的进一步研究和政策变化。CI和科学的协同协同进化的识别丰富了协同进化理论以及CI发展研究。因此，有必要对有关为何以及如何为科学的CI开发提供资金的进一步研究和政策变化。