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- W3170538963 abstract "With the rapid development of computer communication technology, the level of archives information services in colleges and universities continues to improve. More and more universities have created archives management halls to promote digital archives services in depth. As an important part of information resources, the development and use of archive information resources have also attracted the attention of all walks of life. University archives are the pioneers in the development of archives in my country, and their computerization level will directly affect the development and utilization of information resources in my country’s archives. This article aims to analyze the management of online education archives in colleges and universities under the background of big data, analyze the management of online education archives in colleges and universities, and explore the management of archives under the background of online education in colleges and universities. Use the university network archives construction evaluation model calculation and investigation research method to study the current situation and mode of university network education archives management, and provide reference value for the rational connection of various tasks of university network education archives management under the background of big data. The experimental results of this article show that 55% of college students believe that the current college archives need to be combined with the requirements of the development of the times, and it is necessary to innovate the archive management methods of colleges and universities to improve the quality of archive management services in universities and ensure the real-time storage of network information and maximize the development of archive information the value of." @default.
- W3170538963 created "2021-06-22" @default.
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- W3170538963 date "2021-05-31" @default.
- W3170538963 modified "2023-09-25" @default.
- W3170538963 title "University online education file management under the background of big data" @default.
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- W3170538963 doi "https://doi.org/10.3233/jifs-219098" @default.
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