复旦大学国家智能评价与治理实验基地赵星教授与南京大学邓三鸿教授研究团队博士研究生杨杰合作在科学计量学领域国际权威期刊 《科学计量学》（Scientometrics，SSCI/SCI 双收录，JCR Q1）发表最新研究成果《站在数据的肩膀上：数据驱动研究促进科学创新》（Standing on the shoulder of data: data-driven research boosts scientific innovation）。团队通过精准实证方法发现，数据驱动研究在科学影响力、学科交叉性与颠覆性上均显著优于传统研究，兼具突破创新与巩固知识体系的双重效应，为理解数据驱动科学创新提供了重要实证支撑。

摘要：

The increasing centrality of data in scientific research prompts important questions regarding its influence on the innovative potential of scientific endeavors. While the value of data in enhancing research rigor is well-recognized, empirical studies investigating its effects on scientific progress remain limited. This paper addresses this gap by analyzing the impact of data-driven research on scientific outcomes, utilizing two recent datasets from the life and social sciences. By applying Coarsened Exact Matching (CEM) to pair data-based papers with non-data-based counterparts, we isolate the effects of data utilization on scientific impact, interdisciplinarity, and disruption. Our findings provide evidence that data-based papers demonstrate significantly higher scientific impact, greater interdisciplinarity, and a stronger potential for disruption compared to their non-data-based counterparts. Additionally, data-based papers receive both higher disruptive and consolidating citations, indicating a dual effect that not only challenges existing paradigms but also strengthens and expands the existing body of knowledge. These results underscore the role of data-driven research in shaping the future of scientific inquiry, bridging traditional research paradigms with emerging, data-centric methodologies.

关键词：Science of science; Data-driven research; Scientific impact; Interdisciplinarity; Disruption; Innovation (search for similar items in EconPapers)

发表时间：2025-10-13

DOI：http://10.1007/s11192-025-05424-w

收录数据库：Web of Science