为了提高评议质量，缓解评审压力，国家自然科学基金委员会拟构建同行评议专家选择辅助系统，即：利用信息系统将申请项目自动分组，通过专家熟悉代码或关键词为每个项目组自动匹配同行评议专家。本项目将通过以下三方面实现信息系统自动匹配项目和同行评议专家。1. 在细胞生物学学科现行的申请代码基础上，通过学科调研修订该学科申请代码；2. 在现有和新的申请代码体系框架下，确定代码下的主要研究方向，并从科学问题、研究对象、研究方法等方面提炼、组建该学科的关键词词库；3. 在同行评议专家选择辅助系统中基于申请代码－研究方向－关键词三个级次标记同行评议专家，最终实现在辅助系统中以申请书的关键词进行项目分组和指派与关键词匹配的同行评议专家。该项目将有助于提高评审工作的效率，规范同行评议体系，增强同行评议专家遴选的科学性，推进评审制度化和规范化。

To optimalize the process of proposal assessment, NSFC plans to develop a computer aid experts- selection system, which can automatically group the proposals and assign proper peer-reviewers for each proposal according to the key words or expert’s discipline code. This project will be implemented via 1) Review and revise the discipline codes framework of Cell Biology based on the current discipline codes system. 2) Define the major research directions under the revised discipline codes, then develop the database of key words which are screened for each code by considering the scientific questions, objects, and approaches. 3) Label each expert in the experts- selection system by the order of discipline code, research directions, and key words. This project will definitely enhance the rationality of reviewer assignment, normalize the peer-review process, and improve the efficiency of proposal assessment.