Biodiversity Informatics, Meise Botanic Garden, 1860, Meise, Belgium.
Botanic Garden and Botanical Museum Berlin, Freie Universität Berlin, D-14195, Berlin, Germany.
Database (Oxford). 2020 Nov 27;2020. doi: 10.1093/database/baaa072.
People are one of the best known and most stable entities in the biodiversity knowledge graph. The wealth of public information associated with people and the ability to identify them uniquely open up the possibility to make more use of these data in biodiversity science. Person data are almost always associated with entities such as specimens, molecular sequences, taxonomic names, observations, images, traits and publications. For example, the digitization and the aggregation of specimen data from museums and herbaria allow us to view a scientist's specimen collecting in conjunction with the whole corpus of their works. However, the metadata of these entities are also useful in validating data, integrating data across collections and institutional databases and can be the basis of future research into biodiversity and science. In addition, the ability to reliably credit collectors for their work has the potential to change the incentive structure to promote improved curation and maintenance of natural history collections.
人是生物多样性知识图谱中最知名和最稳定的实体之一。与人和能够唯一识别他们的能力相关的丰富公共信息为在生物多样性科学中更多地利用这些数据提供了可能性。人员数据几乎总是与标本、分子序列、分类名称、观察、图像、特征和出版物等实体相关联。例如，博物馆和标本馆的标本数据的数字化和聚合使我们能够将科学家的标本采集与他们全部作品结合起来查看。然而，这些实体的元数据在验证数据、整合不同收藏和机构数据库的数据方面也很有用，并且可以成为未来生物多样性和科学研究的基础。此外，可靠地为收集者的工作授予学分有可能改变激励结构，以促进对自然历史收藏的更好管理和维护。
