数据:大数据环境下情报学的研究对象

发布时间：2018-06-28 03:21

本文选题：数据 + 情报　；参考：《情报学报》2017年02期

【摘要】：数据是一种蕴含着重要价值的情报资源。作为情报链主要构成要素,它的情报价值还有待重新认识与定位。实际上,数据具有情报活动所必备的描述功能和预测功能,有着十分重要的情报价值。当前,数据概念不断泛化,已经成为"信息"的代名词;数据更接近情报链中的"事实"端,不需要经由信息就可以直接转化为情报;在大数据环境下,数据已经成为一种普遍的社会存在:数据应该成为情报学的研究对象,并进而建立数据情报学。为此,应对情报学原有研究内容,如研究对象、基础理论、情报流程、情报技术和方法、情报管理、情报应用等,作出调整与变革,以适应大数据发展的需要。
[Abstract]:Data is an information resource with important value. As the main component of the information chain, its information value needs to be re-recognized and positioned. In fact, data has the essential function of description and prediction of information activities, and has very important information value. At present, the concept of data is becoming more and more extensive and has become the pronoun of "information"; data is closer to the "fact" end of the information chain, and can be directly transformed into information without information. In the big data environment, Data has become a universal social existence: data should become the research object of information science and then establish data information science. Therefore, the original research contents of information science, such as research object, basic theory, information flow, information technology and method, information management, information application and so on, should be adjusted and reformed to meet the needs of the development of big data.
【作者单位】：中国人民公安大学;
【基金】：国家社会科学基金项目“大数据环境下公安情报学理论体系研究”(14BTQ025)
【分类号】：G350

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