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Type specimens online: what is available, what is not, and how to proceed; Reflections based on an analysis of the images of type specimens of southern African Polygala ( Polygalaceae) accessible on the worldwide web.

机译:在线输入标本:可用,不可用以及如何进行;基于对可从全球Web上访问的南部非洲远志(Polygalaceae)类型标本图像的分析得出的思考。

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摘要

The results of a gap analysis of the availability of internet-hosted images of the types of names of Polygala L. (Polygalaceae) in southern Africa accessible at JSTOR Global Plants (JGP) and on other sites in the worldwide web, are presented. The type information for names associated with this genus was recorded and analyzed with a view to suggest ways in which JGP and other internet resources that host specimen images might further expand and enrich their e-holdings, and to identify which non-partner institutions should be approached to collaborate in the Global Plants Initiative (GPI), the most successful specimen imaging thrust ever. Our analysis shows that images of 52% of the types of southern African Polygala names (208 names assessed) are accessible at JGP. Of these images, 74% have incorrect metadata or no information on what sort of type it depicts. For 25% of the accepted taxa of Polygala, no images of the types of their names are available online. This gap can mostly be filled by GPI partners who hold the majority of the types not yet imaged, most of which are likely not in type folders or do not carry annotations indicating their type status. JGP would significantly benefit from directly contracting taxonomic services to improve the quality of its data on types, thus enabling information to be fed back to partner institutions.
机译:提出了差距分析的结果,这些差距可通过JSTOR全球工厂(JGP)和全球网络上的其他站点访问,获取南部非洲远志(Polygalaceae)名称类型的互联网托管图像的可用性。记录和分析了与该属相关的名称的类型信息,以期提出托管标本图像的JGP和其他互联网资源可能进一步扩展和丰富其电子馆藏的方式,并确定应与哪些非合作伙伴机构合作。与全球植物计划(GPI)合作,这是有史以来最成功的标本成像技术。我们的分析表明,JGP可以访问52%的南部非洲Polygala名称(共208个名称)的图像。在这些图像中,有74%的元数据不正确或没有有关其所描述类型的信息。对于Polygala接受的分类单元的25%,没有在线提供其名称类型的图像。 GPI合作伙伴可以弥补这一空白,这些合作伙伴拥有大多数尚未成像的类型,其中大多数可能不在类型文件夹中,或者不带有指示其类型状态的注释。 JGP将通过直接签约生物分类服务以改善其类型数据的质量而从中受益,从而使信息能够反馈给合作伙伴机构。

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