Directly e-mailing authors of newly published papers encourages community curation
Directly e-mailing authors of newly published papers encourages community curation
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DOI：
10.1093/database/bas024
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发表时间：
2012-05-02
影响因子：
5.8
通讯作者：
Millburn, Gillian H.
中科院分区：
文献类型：
--
作者：
Bunt, Stephanie M.;Grumbling, Gary B.;Millburn, Gillian H.
模式生物数据库（MOD）中的大部分数据来自主要研究文献的人工管理。鉴于资金有限和出版材料的密度越来越大，所有MOD面临的一个重大挑战是如何有效地优先考虑最相关的研究论文进行详细的策展。在这里，我们报告了FlyBase使用的分类过程的最新改进。我们描述了一种自动化的方法，直接给新论文的相应作者发电子邮件，要求他们列出研究的基因，并使用在线工具指出（“标志”）论文中描述的数据类型。根据作者指定的标志，论文然后被优先进行详细的策展，并被引导到适当的策展人团队进行全面的数据提取。总体回复率为44%，作者对数据类型的标记足够准确，可以有效地对论文进行优先排序。总之，我们建立了一个可持续的社区策展计划，结果是FlyBase策展人现在花费更少的时间进行分类，并可以将更多的精力投入到详细数据提取的专业任务中。
Much of the data within Model Organism Databases (MODs) comes from manual curation of the primary research literature. Given limited funding and an increasing density of published material, a significant challenge facing all MODs is how to efficiently and effectively prioritize the most relevant research papers for detailed curation. Here, we report recent improvements to the triaging process used by FlyBase. We describe an automated method to directly e-mail corresponding authors of new papers, requesting that they list the genes studied and indicate ('flag') the types of data described in the paper using an online tool. Based on the author-assigned flags, papers are then prioritized for detailed curation and channelled to appropriate curator teams for full data extraction. The overall response rate has been 44% and the flagging of data types by authors is sufficiently accurate for effective prioritization of papers. In summary, we have established a sustainable community curation program, with the result that FlyBase curators now spend less time triaging and can devote more effort to the specialized task of detailed data extraction.