In the era of big data,data rights confirmation has become an important strength to promote data circulation and market development,ensure data revenue,and achieve data security.Based on complex information environment and from the perspective of data value chain,this paper explores the mechanism of data rights confirmation.Based on the previous research results of value chain and data value chain,this study constructs a value chain model involving the development of the whole life cycle of data,such as data acquisition,data processing,data analysis,and data application.Then,with reference to the"Effect-Mechanism-Analyzing-Mechanism"(EMAM)management research methodology,the data right confirmation mechanism was constructed,and a variety of subjects,objects and rights bundles involved in data right confirmation were sorted out,so as to provide a reference for the establishment of the basic system of data rights confirmation.Finally,relevant recommendations were put forward,including the establishment of a classification and grading standard system,safeguarding the security of data rights trading,improving the data rights system,optimising the ecology of the data factor market,innovating data rights management tools,and deepening the application of blockchain and other technologies.
Disruptive technologies have the potential to reshape the future landscape of both technology and markets.This paper aims to propose an automated algorithm for identifying disruptive technologies based on big data analysis,which can support the identification of disruptive technologies in technology assessment.The algorithm utilizes information such as the citation network structure of technology publications,temporal features,cross-disciplinary impact,and technological timeliness to design four dimensions of indicators for identifying disruptive technologies,and adopts the entropy weighting method for result fusion.Empirical research was conducted in the fields of computer science and wireless communication.The results demonstrate that the MRA-DT algorithm is a reliable tool that can provide decision-making support for technology intelligence analysts and related managers in technology innovation,which is of significant importance for companies to seize technological high ground,and for countries to enhance their technological and defense capabilities.
Scientific data is the basis of scientific research.It can not only produce direct or indirect economic benefits,but also produce application value in social governance,government decision-making,public services,etc.Taking scientific data as a special asset for management and operation can further tap the utilization value of scientific data.Under the background of data elements,this paper will start from the theoretical basis of the connotation and characteristics of scientific data assets,sort out their characteristics different from other types of data assets,build a scientific data asset management framework,draw a scientific data asset management path,in order to quickly promote the transformation of scientific data from resources to assets,and better play the social and economic value of scientific data in scientific research,production and life.
A sound R&D management system is the"soft power"of independent innovation for enterprises,and is an important way to strengthen the dominant position of enterprises in scientific and technological innovation.Based on expert evaluation data from 121 Jiangsu enterprises,this article systematically analyzes the characteristics of the R&D management system construction of enterprises with national,provincial,municipal and lower level R&D institutions;Research has shown that there are significant differences in the construction of R&D systems among enterprises with R&D institutions at different levels,but the completeness of R&D management system construction does not depend on the level of the enterprises;Enterprises with R&D institutions at different levels need to strengthen and improve their research and development strategies,processes,management planning,knowledge and information management,R&D planning,R&D reviews,and performance evaluations.At the same time,this article also proposes countermeasures and suggestions for the government and enterprises to accelerate the construction of R&D management system.
Scientific research institutions are an important part of the nation's strategic scientific and technical strength.In the context of achieving high-level scientific and technical self-reliance and self-improvement,improve the talent evaluation and incentive system of scientific research institutions in conjunction with national mission is an important part of organizational reformation,which is of great significance to stimulate the innovation vitality of scientific and technological talents and ensure the realization of national science and technology strategy..Based on the theories related to evaluation and incentives,combined with the evaluation and incentive models of typical international scientific research institutions,the study analyzes the current situation and shortcomings of the evaluation and incentive system of scientific research institutions in China,and provides policy suggestions for improving the talent evaluation and incentive system of national mission-oriented scientific research institutions.
