关键词: 全球生物多样性信息平台, 大数据, 数据共享, 国家基础设施

Abstract

Background & Aims: Biodiversity data serve as a fundamental basis for advancing biodiversity science and achieving effective conservation outcomes. The Global Biodiversity Information Facility (GBIF), as the most influential biodiversity information platform, has established a global collaborative network and integrated over 3 billion species occurrence records from across the globe. These resources provide essential support for scientific research, policy-making, and management decisions. Over 12,000 peer-reviewed publications have cited GBIF data, and the platform has been widely recognized by international organizations such as the Convention on Biological Diversity (CBD), the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), and the Group on Earth Observations Biodiversity Observation Network (GEO BON). The development of China's biodiversity data platforms commenced at a relatively early stage and have yielded substantial outcomes. However, challenges remain in their development, limiting the full application potential of China's biodiversity data in scientific research and policy-making. This study aims to systematically examine the key initiatives and corresponding achievements of the GBIF. Drawing on an analysis of China’s current practices and challenges in biodiversity data development, the study seeks to provide well-founded recommendations and insights to inform the advancement of relevant national platforms. 

Progresses: This paper systematically reviews the development history, organizational structure, key initiatives, and major achievements of GBIF, and analyzes its valuable experiences in promoting innovation in scientific research and policy-making, enhancing coordination mechanisms, developing a global network, and strengthening infrastructure. 

Prospects: Based on the development potential of biodiversity data infrastructure in China, the paper proposes recommendations such as establishing a top-level coordination mechanism, enhancing research infrastructure, improving national-level platforms for data-driven innovation, and deepening support for scientific and policy decision-making, aiming to provide practical insights for the planning and development of related platforms in China.

Key words: Global Biodiversity Information Facility (GBIF), Biodiversity data, Big data, Data sharing, National infrastructure