科学大数据与社会计算:情报服务的现代转型与创新发展

Scientific Big Data and Social Computing:the Modern Transformation and Innovation-driven Development of Intelligence Service

科学大数据的兴起拓宽了人文社会科学的研究视域,纳入社会计算范式的人文社会科学研究在支持解决经济社会发展重大问题中具有更广阔的应用空间。文章从科学大数据与社会计算的交叉融合点入手,探讨了融合范式背景下的情报服务数据生态圈问题,并从服务模式变化、应用空间拓展与"创收"能力提升等方面进一步剖析了情报服务在新环境下的变革与创新。文章认为,图书情报学的研究对象可以从科学大数据拓展到社会大数据,立足于"万众创新大数据工程"开展新型情报服务。

The rise of scientific big data has expanded the research horizon of the humanities and social sciences. By bringing into the social computing paradigm, the application and development area of the humanities and social science research could be extensively expanded in supporting the major issues of economic and social development. By introducing the intersection of scientific big data and social computing, this paper probes into the problem of the data ecosphere of intelligence service. Then, the paper discusses the change and innovation of intelligence service in the new environment from three aspects： service mode changing, application space expansion and ＂revenue-driving＂ capability improvement. The paper holds that the research object of library and information science can expand from scientific big data to social big data, and the related research should try to provide new type of intelligence service based on the idea of ＂mass innovation and big data project＂.