气候变化领域集成服务门户(CCPortal): Data integration enables global biodiversity synthesis

CCPortal

DOI	10.1073/pnas.2018093118
	Data integration enables global biodiversity synthesis
	Heberling J.M.; Miller J.T.; Noesgaard D.; Weingart S.B.; Schigel D.
发表日期	2021
ISSN	00278424
卷号	118 期号:6
英文摘要	The accessibility of global biodiversity information has surged in the past two decades, notably through widespread funding initiatives for museum specimen digitization and emergence of large-scale public participation in community science. Effective use of these data requires the integration of disconnected datasets, but the scientific impacts of consolidated biodiversity data networks have not yet been quantified. To determine whether data integration enables novel research, we carried out a quantitative text analysis and bibliographic synthesis of >4,000 studies published from 2003 to 2019 that use data mediated by the world's largest biodiversity data network, the Global Biodiversity Information Facility (GBIF). Data available through GBIF increased 12-fold since 2007, a trend matched by global data use with roughly two publications using GBIF-mediated data per day in 2019. Data-use patterns were diverse by authorship, geographic extent, taxonomic group, and dataset type. Despite facilitating global authorship, legacies of colonial science remain. Studies involving species distribution modeling were most prevalent (31% of literature surveyed) but recently shifted in focus from theory to application. Topic prevalence was stable across the 17-y period for some research areas (e.g., macroecology), yet other topics proportionately declined (e.g., taxonomy) or increased (e.g., species interactions, disease). Although centered on biological subfields, GBIF-enabled research extends surprisingly across all major scientific disciplines. Biodiversity data mobilization through global data aggregation has enabled basic and applied research use at temporal, spatial, and taxonomic scales otherwise not possible, launching biodiversity sciences into a new era. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Biodiversity informatics; Biological collections; Community science; Global Biodiversity Information Facility (GBIF); Scientometrics
语种	英语
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/180698
作者单位	Section of Botany, Carnegie Museum of Natural History, Pittsburgh, PA 15213, United States; Global Biodiversity Information Facility, Secretariat, Copenhagen Ø, DK-2100, Denmark; Digital Humanities Program, University Libraries, Carnegie Mellon University, Pittsburgh, PA 15213, United States
推荐引用方式 GB/T 7714	Heberling J.M.,Miller J.T.,Noesgaard D.,et al. Data integration enables global biodiversity synthesis[J],2021,118(6).
APA	Heberling J.M.,Miller J.T.,Noesgaard D.,Weingart S.B.,&Schigel D..(2021).Data integration enables global biodiversity synthesis.Proceedings of the National Academy of Sciences of the United States of America,118(6).
MLA	Heberling J.M.,et al."Data integration enables global biodiversity synthesis".Proceedings of the National Academy of Sciences of the United States of America 118.6(2021).