大数据侦查的若干问题新探

Research on Some Problems concerning Criminal Investigations with Big Data

大数据侦查的基础是传统的侦查思路和方法,只不过在其中加入了大数据的获取和运用。电子数据具有过程性特性,证据概念的“痕迹说”更能有效地衔接行政执法、初查以及立案后的侦查等阶段。大数据侦查的步骤通常包括大数据中找异常、犯罪嫌疑人假说及其求证、比中数据侦破案件。大数据的获得具有自动性、非侵入性、公开性等特征,基本不会对人权造成大的侵害,实践中我国的大数据侦查并未违反合法性原则与比例原则。在侦查数据库建设的众多组成数据中,目前应当重点加强社区警务的数据建设。

Big data investigation is the combination of big data and traditional investigation methods,the evidence of which are data marks.In general,big data investigation include four steps.Big data investigation does not interfere deeply in human rights,and it’s not practicable to imitate foreign law.Therefore,the development of big data needs to be strengthened,especially the big data regarding policing in communities.