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情报学取向的“数据科学与大数据技术”专业人才培养
引用本文:陈沫,李广建,陈聪聪.情报学取向的“数据科学与大数据技术”专业人才培养[J].图书情报工作,2019,63(12):5-11.
作者姓名:陈沫  李广建  陈聪聪
作者单位:北京大学信息管理系 北京 100871
基金项目:本文系国家社会科学基金重点项目"大数据环境下的计算型情报分析方法与技术研究"(项目编号:14ATQ005)研究成果之一。
摘    要:目的/意义]情报学作为计算性较强的人文社科学科,具备数据科学的特点,大数据相关技术能为情报学提供有效手段,因此,设立情报学取向的"数据科学与大数据技术"专业,培养具有大数据思维和扎实的情报学专业基础、掌握大数据处理技术及分析理论、并能将其应用于情报学理论与实践的复合型人才,能够促进情报学学科发展。方法/过程]对国内外大数据相关专业的培养目标和课程设置模式进行调研,总结学科教育发展特色,结合国内的教学资源情况,设计情报学取向的大数据专业人才培养计划。结果/结论]情报学与大数据既有联系又有不同,情报学为大数据提供了基础研究方法,促进了多源数据融合,拓宽了大数据的应用领域;大数据为情报学研究提供了更多的可能性、丰富了研究方法,提升了研究效率、扩大了研究范围。情报学取向的大数据与数据科学专业人才的培养,既有其必要性,又有其不可替代性。学科体系需进一步改革创新,设立更多紧密结合大数据与情报学专业的新兴课程,如文献大数据分析、用户大数据研究等,系统地培养学生将情报学领域知识与计算机技术和大数据技术融合创新的能力。

关 键 词:情报学教育  人才培养  大数据  数据科学  
收稿时间:2018-11-15

Talent Training of Information Science Oriented “Data Science and Big Data Technology” Discipline
Chen Mo,Li Guangjian,Chen Congcong.Talent Training of Information Science Oriented “Data Science and Big Data Technology” Discipline[J].Library and Information Service,2019,63(12):5-11.
Authors:Chen Mo  Li Guangjian  Chen Congcong
Institution:Department of Information Management, Peking University, Beijing 100871
Abstract:Purpose/significance] As a highly computational humanities and social sciences discipline, information science has the characteristics of data science. Big data related technology can provide an effective means for information science. Therefore, establishing the information science oriented "Data Science and Big Data Technology" discipline that aims at training inter-disciplinary talents can promote the development of information science, and these talents have big data thinking and solid information science professional basis, mastering big data processing technology and analytical theory applied to the theory and practice of information science.Method/process] We investigated the training objectives and curriculum model of big data related majors at home and abroad, summarized the development characteristics of subject education, and combined the teaching resources of domestic to design a training plan for big data professionals with information science orientation.Result/conclusion] There are both connections and differences between information science and big data. Information science provides basic research methods for big data, promotes the fusion of multiple source data, and broadens the application fields of big data. Big data provides more possibilities for information science research, enriches research methods, improves research efficiency, and expands the scope of research. There are both necessity and irreplaceability of the talent training of information science oriented "data science and big data technology" discipline. It will fill the gap in this professional education in China. It is necessary to further reform and innovate the disciplinary system, and to establish more emerging courses that closely integrate big data and information science, such as literature big data analysis and user big data research, so as to systematically cultivate students' ability to integrate knowledge in the field of information science with computer technology and big data technology.
Keywords:information science education  talent training  big data  data science  
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