FlyBase, Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK.
Database (Oxford). 2012 May 2;2012:bas024. doi: 10.1093/database/bas024. Print 2012.
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. Database URL: http://flybase.org/
许多模型生物数据库 (MOD) 中的数据来自对原始研究文献的人工整理。由于资金有限且已发表材料的密度不断增加，所有 MOD 都面临着一个重大挑战，即如何有效地确定最相关的研究论文，以便进行详细整理。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方法，可以直接向新论文的通讯作者发送电子邮件，要求他们列出研究的基因，并使用在线工具标记论文中描述的数据类型。根据作者分配的标记，然后对论文进行详细整理，并将其分配给适当的编辑团队以进行全面的数据提取。总的回复率为 44%，作者标记数据类型的准确性足以有效地对论文进行优先级排序。总之，我们已经建立了一个可持续的社区编辑程序，结果是 FlyBase 的编辑现在在分类上花费的时间更少，可以将更多精力投入到详细数据提取的专业任务上。数据库网址：http://flybase.org/
