大数据驱动的科技成果转化效率提升机制研究

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中图分类号：F49 文献标志码：A 文章编号：2095-2945（2025）31-0144-04

Abstract：Bigdatatechnologyisprofoundlychanging themodelandpathofthetransformationofscientificand technologicalachievements，butcurentlyadeep-seatedmechanismfordata-driveneficiencyimprovementhasnotyetbeen formed.Throughsemi-structuredinterviews，2participantsintheentireprocessoftransformationofscientificandtechological achievemntswereselected，andgroundedtheorywasusedtoanalyzetheimpactofdataelementalocationontransformation eficiency.Researchfoundthatdataelementsareaggregatedbasedonplatformstoformaresourcecolaborativenetwork，and transformationaccuracyisimproved throughdatamining，analysisandapplicationThispaperbultaclosed-lopmechanismof "datacolletion-dataanalysis-datamatching-dataaplication，explainingthemechanismofsuplyanddemanddocking，risk earlywarningandbenefitevaluationofscientficandtechnologicalachievementsdrivenbybigdataBasedonthis，thispaper proposescountermeasuresandsuggestions toimprovetransformationeficiencysuchasbuildingadataresourcepool，optimizing algorithm models，and improving data governance.

Keywords：bigdata；scientificandtechnologicalachievement；transformationeficiency；resourcecollaboration；platform empowerment

随着大数据技术的快速发展，科技成果转化正在经历深刻变革，传统转化模式存在信息不对称、供需脱节及风险难控等问题，而大数据的深度应用为解决这些难题提供了新思路，数据要素能够贯穿转化全流程，通过数据采集与分析及应用提升转化的精准性和效率，当前需厘清大数据驱动下科技成果转化效率提升的内在机理，构建基于数据要素的转化新机制，聚焦数据驱动的转化效率提升路径，为完善科技成果转化体系提供理论支撑和实践指导。（剩余5460字）