生物多样性数据科学家可以记录生物多样性数据企业中的志愿者和专业合作和贡献吗?

Robert Stevenson, Elizabeth R. Ellwood, Peter Brenton, P. Flemons, Jeff Gerbracht, Wesley Hochachka, Scott Loarie, Carrie Seltzer
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引用次数: 0

摘要

生物多样性数据的收集、存档和使用依赖于此处称为生物多样性数据企业(BDE)的管道网络,通过全球生物多样性信息基金(GBIF)的工作在全球范围内得到最好的理解。维持和发展BDE需要有关数据管道和支持它的基础设施的信息。GBIF的一系列指标,包括机构参与(成员国、机构贡献者、数据出版商)、生物多样性覆盖率(发生记录、物种、地理范围、数据集)和数据使用(使用数据下载的记录、发表的论文)(Miller 2021),记录了生物多样性指数(GBIF秘书处2022)的快速增长和成功。Heberling等人(2021)提出了一个令人信服的案例,证明数据整合过程正在发挥作用。生物多样性信息标准(TDWG)记录基础术语提供了有关底层基础设施的信息。它对团队为获取生物多样性信息而进行的各种过程*1进行了分类,GBIF量化了它们的贡献*2(表1)。目前83.4%的观测来自人类观测,其中63%来自鸟类观测。博物馆保存的标本占记录的9.5%。在这两种情况下,志愿者(进行观察、收集标本、将标本数字化、抄写标本标签)和专业人员共同努力,提供记录。为了更好地理解BDE是如何工作的,我们建议了解每个数据集的贡献和贡献者的数量以及他们的参与时间是有价值的。这可以帮助社区解决诸如“我们需要多少志愿者来记录特定地区的鸟类?”或“运行一个摄像机陷阱网络需要多少专业支持?”例如,在最近的两次生物闪电活动中,数以万计的观察者进行了数百万次观察,一次是由康奈尔鸟类学实验室赞助的“大日子”,重点关注鸟类,另一次是“城市自然挑战”,关注所有分类群,由加州科学院和洛杉矶县自然历史博物馆联合赞助(表2)。在我们的演讲中,我们将通过人类观察(eBird, iNaturalist)和保存标本(DigiVol, Notes from Nature)记录类型的例子,提出可用于记录志愿者和工作人员合作和贡献的度量方法。该练习的目标是开始讨论这些指标如何进一步推动BDE的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can Biodiversity Data Scientists Document Volunteer and Professional Collaborations and Contributions in the Biodiversity Data Enterprise?
The collection, archiving and use of biodiversity data depend on a network of pipelines herein called the Biodiversity Data Enterprise (BDE) and best understood globally through the work of the Global Biodiversity Information Facility (GBIF). Efforts to sustain and grow the BDE require information about the data pipeline and the infrastructure that supports it. A host of metrics from GBIF, including institutional participation (member countries, institutional contributors, data publishers), biodiversity coverage (occurrence records, species, geographic extent, data sets) and data usage (records downloaded, published papers using the data) (Miller 2021), document the rapid growth and successes of the BDE (GBIF Secretariat 2022). Heberling et al. (2021) make a convincing case that the data integration process is working. The Biodiversity Information Standards' (TDWG) Basis of Record term provides information about the underlying infrastructure. It categorizes the kinds of processes*1 that teams undertake to capture biodiversity information and GBIF quantifies their contributions*2 (Table 1). Currently 83.4% of observations come from human observations, of which 63% are of birds. Museum preserved specimens account for 9.5% of records. In both cases, a combination of volunteers (who make observations, collect specimens, digitize specimens, transcribe specimen labels) and professionals work together to make records available. To better understand how the BDE is working, we suggest that it would be of value to know the number of contributions and contributors and their hours of engagement for each data set. This can help the community address questions such as, "How many volunteers do we need to document birds in a given area?" or "How much professional support is required to run a camera trap network?" For example, millions of observations were made by tens of thousands of observers in two recent BioBlitz events, one called Big Day, focusing on birds, sponsored by the Cornell Laboratory of Ornithology and the other called the City Nature Challenge, addressing all taxa, sponsored jointly by the California Academy of Sciences and the Natural History Musuems of Los Angeles County (Table 2). In our presentation we will suggest approaches to deriving metrics that could be used to document the collaborations and contribution of volunteers and staff using examples from both Human Observation (eBird, iNaturalist) and Preserved Specimen (DigiVol, Notes from Nature) record types. The goal of the exercise is to start a conversation about how such metrics can further the development of the BDE.
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