[目的/意义]开展数据对象可溯源性保障研究，可降低大数据时代所凸显的跨领域、海量、异构和动态数据的失信风险，有助于自动化实现数据质量评价、数据审计及数据恢复等问题。[方法/过程]基于数据溯源、密码编码学等理论，以数据对象为操作单位，提出一种新的数据对象版本号计算方法；进一步提出了数据对象DNA的概念及其生成和回溯方法，并探讨其IT实现及应用。[结果/结论]本文提出统一溯源新方法数据对象DNA，具有易生成、防篡改、普适性强等特点，可应用于数据对象的世系检验和数据连续性自动审计等场景。

[Purpose/significance] Data object traceability assurance research can reduce exposure risk of cross-domain, massive, heterogeneous and dynamic data loss in big data era, and contribute to automated data quality evaluation, data audit and data recovery. [Method/process] Based on the theory of data provenance and cryptography, a new version number calculation method of data objects is provided. Then, the concept of data object DNA are described, and a new method for generating as well as backtracking the data object DNA are also proposed. Furthermore,The IT implementation and applications of it are discussed. [Result/conclusion] Data object DNA, which is a new method to support unified data traceability, is producing easliy, tamper-proof, strong universality, and can be used to data object lineage inspection and data continuity audit.