The Theoretical Logic,Typical Cases,and Development Strategies of Scientific Data as the New Quality Productivity
Scientific data is a key driving force behind technological innovation in the new stage of development,and serves as the driving force for the new quality productivity.The value of scientific data is realized through three theoretical logics:driving paradigm shifts,achieving cluster-based technological breakthroughs,and empowering industrial innovation,thereby forming new productive forces.Scientific data,in combination with digital technologies such as artificial intelligence,exerts a dual-driving effect.The essence of this is the effective aggregation of scientific data,forming a positive feedback loop system of"Data aggregation-Technological innovation-Value realization",which in turn improves the efficiency of scientific and technological innovation,breaks down barriers in scientific research,and provides strong support for new quality productivity.To overcome the constraints in scientific research,theoretical guidance from the new type of productive forces is needed.Based on China's new technological strategy needs,the ultimate goal is to continuously promote the value of scientific data and elevate it to more advanced productive forces,strengthening the innovative break-throughs of scientific data and digital technologies,constructing an innovation-driven scientific research paradigm and in-dustrial model,and converting new quality productivity into the endogenous driving force for breakthroughs in scientific re-search.
万方数据
维普
