【摘要】 [目的 /意义]研究情报学如何响应大数据语境提出的功能要求,在研究内容、方法及范式上做出相应的调整与聚焦。[方法 /过程]应用历史分析方法,梳理总结情报学应对纸介质信息爆炸时在文献选择、内容揭示、服务提供及技术应用等方面积累的经验;应用规范化方法分析大数据时代对情报学在服务对象、信息获取、信息序化和决策支持上的挑战,基于情报学的三维范畴描述讨论情报学在信息发现、信息序化、信息服务、信息技术与信息政策法规等方面的新研究取向。[结果 /结论]大数据时代,情报学既应坚守历史演化所积累的学科特色,也应积极响应时代挑战,拓展新的研究领域。更多还原

【Abstract】 [Purpose / significance]The functional needs for the big data context must be answered in Information Science,and the research contents,methods and paradigm should be adjusted and focused. [Method / process]The countermeasures to overcome information exposures in paper-media era are discussed,including documentation selection,information organization,information services and information technologies. The challenges to Information Science,under the context of big data,are analyzed,which include service objects,information discoveries,information organization and decision supporting. 3-dimension structure for Information Science are given,and some new research orientations are presented,which are about information discoveries,information organization,information services,information technologies and information rules and laws. [Result / conclusion]Under the era of big data,on the one hand,Information Science should persist the accumulating discipline characteristics from the history evolution; on the other hand it should respond to the challenges of the times to expand brand-new research fields.更多还原