随着市场经济的发展，数据外包已成为提高企业核心竞争力的不可逆趋势。如何提出有效的方法来支持数据外包服务是一个非常重要的研究课题。目前，围绕数据外包相关问题的研究大多是面向关系型数据的，虽然取得了一些成果，但由于缺乏对特定领域数据特点的分析，实用效果不尽如人意。机床业工程数据的结构复杂、多版本和长事务等特征对数据外包服务在存储完整性审计、查询结果正确性检查和事务处理等方面提出了许多新的挑战。本项目将重点围绕机床业工程设计与产品数据外包管理关键技术展开研究，力争在多版本工程数据的存储完整性审计、复杂数据的查询结果正确性验证和长事务运行态下的数据安全与保护等方面取得原创性突破成果。相关研究成果对完善数据外包管理基础理论，促进机床业转型升级与降低装备制造业信息化成本，保障工程数据外包的安全可靠，提升数据基础设施利用效能，具有重要的理论和现实意义。

With the development of market economy, it is irreversible that data outsourcing has improved the core competitiveness of enterprises. How to put forward effective methods to support data outsourcing services is a very important research topic. Most of the researches on data outsourcing are currently oriented to relational data and some achievements have been obtained. However, the practical effect is.not satisfactory due to the lack of analysis of specific domain data. The engineering data in machine tool industry is featured by complex structure, multi version and long transaction, which bring many new challenges to data outsourcing services in the storage integrity audit, query results correctness checking and transaction processing etc. This project focuses on the key technology research of the outsourcing management for the machine tool industry engineering design and product data. The goal is to achieve breakthrough results in storage integrity audit of multi version engineering data, query correctness verification of complex data, and data security and protection under long transaction state. Relevant research results have important theoretical and practical significance to improve the basic theory of data outsourcing management, promote the transformation and upgrading of the machine tool industry and reduce the information cost of equipment manufacturing industry, ensure the safety and reliability of engineering data outsourcing, and advance the utilization efficiency of data infrastructure.