基于数据挖掘的人类疾病动物模型资源共享平台的设计与思考

Design and consideration of human disease animal model resource sharing platform based on Data Mining

摘要:

目前国内外已建设的人类疾病动物模型资源数据库尚未涵盖所有疾病，也无统一的资源查询路径或渠道，为此，探索开发一个较为完整和可以资源共享的人类疾病动物模型数据平台。收集和整理挖掘相关文献、专著、研究机构的人类疾病动物模型资源数据，以促进人类疾病动物模型资源数据整合、挖掘和共享为目标，从系统疾病、动物种属、造模方法3个维度搭建人类疾病动物模型资源共享平台总体架构，在全面性、可扩展性、开放性、稳定性和安全性的设计原则指导下，采用当前主流的B/S结构，引入可扩展标记语言对异构数据进行结构化和标准化处理，再以层次结构法对资源数据进行分类和编码，最后经专家审核通过发布。该平台目前试运行结果显示，既便于用户查找符合需求的数据，同时也保证数据的准确性。

Abstract:

At present, the retrievable animal model of human diseases resource database at home and abroad does not cover all human diseases and there is no unified resource query path or channel, therefore, it is necessary to try to develop a relatively complete and resource sharing animal model of human disease data platform . Through the three dimensions of system disease, animal species, and modeling method to build a shared platform framework for animal model of human disease resources which collects and organizes animal model of human disease resource data from relevant literature, monographs, and research institutions and aims to promote the integration, mining and sharing of animal model of human disease resource data. Guided by the design principles of comprehensiveness, scalability, openness, stability and security, the shared platform adopts the current popular B/S structure and introduces extensible markup language to to carry out structured and standardized processing of heterogeneous data. The resource data is classified and coded with the hierarchical structure method and finally released after being reviewed and approved by experts. The current pilot operation results show that the data platform can not only facilitate users to find data that meets their needs, but also ensure the accuracy of the data.