生物多样性数据Gap分析工作流  

Workflow of Biodiversity Data Gap Analysis

作　　者：黄雄伟 林聪田[1] 纪力强[1] 

机构地区：[1]中国科学院动物研究所,北京100101 [2]中国科学院大学,北京100049

出　　处：《科研信息化技术与应用》2017年第4期42-50,共9页E-science Technology & Application

基　　金：中国科学院信息化建设专项:(Y329C31114)"动物学科领域基础科学数据整合与集成应用";国家科技部国家科技基础条件平台项目"国家基础科学数据共享服务平台"(DKA2017-12-02-10)

摘　　要：生物多样性科学研究、保护与持续利用离不开准确、详实的生物多样性分布数据。近年来,随着计算机信息技术与生物多样性信息学的发展,生物多样性数字化数据得到快速、大量积累。同时也难免存在一些问题,例如数据来源众多、标准不统一、质量参差不齐,影响其共享与充分利用,并且在类群覆盖、采样时间和地理分布上存在一定的空缺(Gaps),导致目前的生物多样性数据能否全面客观地描述生物多样性存在疑问。生物多样性数据Gap分析(Biodiversity Data Gap Analysis,BDGA)的目的就是对现有数据进行完整性和可靠性评估,为今后的生物多样性调查与研究工作提供决策支持,帮助相关研究人员在应用生物多样性数据时对数据客观性和可用性进行判断。本研究旨在探讨如何建立BDGA工作流,着重阐述BDGA的基本方法、相关工具与流程。The biodiversity scientific research, conservation and sustainable use increasingly depend on the accurate and detailed biodiversity distribution data. With the development of internet and information technology, large amounts of primary digital biodiversity data have been accumulatedon a global scale.However, theexisting biodiversity data have some flaws, such as different sources of biodiversity dataresulting in the lack of unified standards, the poor data quality which affected the effectively sharing and utilization, and some gaps in the taxonomic, temporal and geographical coverage. These flaws obstruct the comprehensive and objective evaluation of biodiversity. Biodiversity Data Gap Analysis（BDGA） is to assess the completeness and reliability of available biodiversity data, which aims to provide decision supports for further biodiversity surveys and researches, and support data consumers with prior knowledge estimation. The purpose of this paper is to explore how to construct the BDGA workflow, which focuses on the basic methods, related tools and processes of BDGA.

关 键 词：生物多样性信息 数据集 数据评估 GAP分析 

分 类 号：G311[文化科学]