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Why data citation isn't working, and what to do about it.
Database: The Journal of Biological Databases and Curation ( IF 5.8 ) Pub Date : 2020-01-01 , DOI: 10.1093/databa/baaa022
Peter Buneman 1 , Greig Christie 2 , Jamie A Davies 3 , Roza Dimitrellou 2 , Simon D Harding 3 , Adam J Pawson 3 , Joanna L Sharman 4 , Yinjun Wu 4
Affiliation  

We describe a system that automatically generates from a curated database a collection of short conventional publications-citation summaries-that describe the contents of various components of the database. The purpose of these summaries is to ensure that the contributors to the database receive appropriate credit through the currently used measures such as h-indexes. Moreover, these summaries also serve to give credit to publications and people that are cited by the database. In doing this, we need to deal with granularity-how many summaries should be generated to represent effectively the contributions to a database? We also need to deal with evolution-for how long can a given summary serve as an appropriate reference when the database is evolving? We describe a journal specifically tailored to contain these citation summaries. We also briefly discuss the limitations that the current mechanisms for recording citations place on both the process and value of data citation.

中文翻译:

为什么数据引用不起作用,以及如何处理。

我们描述了一个系统,该系统从策划的数据库中自动生成一系列简短的常规出版物 - 引文摘要 - 描述数据库各个组件的内容。这些摘要的目的是确保数据库的贡献者通过当前使用的指标(例如 h 指数)获得适当的信用。此外,这些摘要还用于为数据库引用的出版物和人员提供荣誉。在这样做时,我们需要处理粒度——应该生成多少摘要来有效地表示对数据库的贡献?我们还需要处理进化——当数据库进化时,给定的摘要可以作为合适的参考多久?我们描述了专门为包含这些引文摘要而定制的期刊。
更新日期:2020-05-04
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