电子数据类型化及其真实性判断

Research of the Classification and Authenticity Judgement of Electronic Data

最新修订的《民事诉讼法》和《刑事诉讼法》都已将电子数据纳入到法定的证据形式之中,接下来应尽快制定具体的、具有可操作性的电子数据审查规则。然而,目前我国实务界和理论界对电子数据真实性的认识尚存在以偏概全等误区,要想正确判断电子数据的真实性,必须首先对其作类型化的研究,并在此基础上提出电子数据真实性的判断标准。有别于以往对电子证据的分类,文章以司法应用为目的,根据不同的提供主体,将电子数据分为孤立数据和系统数据,前者包括可编辑数据、只读数据与不可读数据,后者包括二维数据和多维数据。不同类型的电子数据存在不同的真实性判断标准和方法。

Both the newly passed civil procedure law and criminal procedure law incorporate the electronic data in the legal forms of evidence, then we shall develop workable and concrete rules to judge the authenticity of electronic data as soon as possible. However, there are some existing wrong knowledge about the electronic data authenticity in our country practically and theoretically, such as bi- ased error. In order to come to a correct judgment and conclusion of the authenticity of electronic data, we must first carry on the scien- tific and reasonable classiflcation, and on this basis put forward some electronic data authenticity judgment standards. Unlike previous classifications of tile electronic evidence, this article divides the electronic data into two major groups： the isolated data which include the editable data, the read - only data and the unreadable data, and the systematic data which include the two dimensional data and the multi - dimensional data depending on the electronic data provider for the purpose of judicial applications. The different standards and methods are corresponding to different types of the electronic data.