Relevance Pattern Of Scientific Data And Scientific Literature Based On User Needs

Under the data-intensive scientific research paradigm,scientific research is increasingly dependent on the support of various types of scientific data,and the value of scientific data is becoming increasingly important.Effectively linking scientific data with scientific research results,further mining the potential value of scientific data,meeting the needs of scientific researchers for data reuse and scientific research innovation is an important task.This study investigates the current situation of the association between scientific data and scientific literature in my country and the needs of users through online research,questionnaire surveys and other methods,analyzes the survey results,and proposes an relevance pattern of scientific data and scientific literature based on user needs,on this basis,with a view to provide reference for the work related to scientific data and scientific literature,improve the scientific research chain,and promote the further development of scientific research.This research first conducted a survey and analysis of the current situation of my country's representative scientific data sharing platform data and the relationship between scientific data and scientific literature through the network investigation method,found that the scientific data sharing platform has a low degree of satisfaction with user needs and a low degree of scientific data sharing.The level of integration of scientific data is not deep enough,and the relationship between scientific data and scientific literature is loose.Through the questionnaire survey method,researchers of different genders,different ages,and different disciplines are surveyed about the use of scientific data and scientific and technological literature and their needs related to the two.The survey results are analyzed and the scientific data and scientific data are summarized.The requirements for scientific and technological literature association mainly include: establishing a unified scientific data and document association platform,providing high-quality scientific data,and providing timely,stable and accurate scientific data services,etc.Secondly,combined with the preliminary investigation and analysis,starting from the construction basis,principles,and elements,it proposes the scientific data and scientific literature relevance pattern including the target planning layer,the resource acquisition layer,the scientific data and scientific literature correlation layer,and the user service layer.The conditions for the effective operation of the model are analyzed from the perspectives of infrastructure,capital and technology,service subject capabilities,and user awareness and behavior.Finally,we analyze the relationship between scientific data and scientific literature in the field of geographic science as an example,and propose a strategy for improving the relationship between scientific data and scientific literature in the field of geographic science,including the demand for scientific research data of geographic science users as the guide;establishing cooperation with scientific literature publishers,and more collect data through channels;combine multiple methods to improve the correlation between scientific data and scientific literature;enrich service functions to meet user needs.The results of this research have laid a certain foundation for building a scientific and standardized scientific data and scientific literature association platform,realizing the association of scientific data and scientific literature based on user needs,providing methods for the effective management and utilization of scientific data and scientific literature resources.Promote the integrated utilization of scientific research resources.