国家科技计划项目数据汇交对于促进科学数据的整合集成，增强国家科技投入的效益，提高我国科技计划项目管理水平具有重要意义。经过充分研究，科技部基础司选择国家重点基础研究发展计划（973计划）资源环境领域作为试点，于2008年启动数据汇交工作，并专门成立数据汇交中心。2008年，按照数据汇交计划制定、数据汇交准备、数据实体汇交、数据共享服务4个阶段的工作流程，分“已结题”、“即将于2008年结题”和“在研”3种类型开展汇交工作，完成了24个结题项目的数据汇交，汇交数据总量超过620 GB。为了保证数据汇交的可操作性和规范化，数据汇交中心制定了包括核心元数据规范、数据文档格式等7项标准规范；研制了数据汇交软件工具；建立了海量数据存储环境；设计开发了数据汇交共享服务网络平台。面向数据服务进一步的需要，分析了已汇交数据情况，具体分为5种类型，即定点长期监测和野外定点调查类、区域调查和统计分析类、模型计算类、试验化验分析类、客观或主观描述类，并提出了相应的数据展示策略。

Datasets derived from scientific research projects supported by national financial should be archived and shared. Scientific data archiving and sharing will not only promote data resources integration, sharing, adding value, but also enhance the scientific projects management level. The National Basic Research Program （also called 973 Program） is China's on-going national keystone basic research program. Based on deep consideration, Research projects in resource and environment field of 973 Program are selected as a pilot engineering for data archiving and sharing and launched in March, 2008. In the past one year, 49 projects in resource and environment field of 973 program are divided into 3 types, i.e., finished project, near finish project, on-going project. Data archiving center designed data archiving work flow which included 4 phases, i.e., data plan drawing up phase, data archiving preparation phase, data submission phase, data sharing and management phase. The 4 phases cover the whole project research cycle from the project was launched to the project would be overviewed 5 years later. Till the end of October, 2008, 24 projects in 973 Program submitted their research datasets to data archiving center. All the data was accumulated to 620GB, including 862 datasets. In order to ensure the data archiving quality, there are 7 data archiving standards and specifications are designed, including metadata standard, data document format specification, etc. 973 Program data archiving and sharing platform are researched and developed facing to 3 kinds of users, i.e., data manager, data provider and data users individually. In order to provide perfect data services interface, all the archival data types are analyzed. These data can be divided into 5 types, i.e., long term fixed point monitoring and surveying data, regional survey and statistic data, model calculation product data, examination and analysis data, impersonality pictures and subjective description data. Data display schema for different data types are designed web sharing.