使用数据引用探索器识别基因组数据的使用情况
Neil Byers1, Charles Parker1, Chris Beecroft1
1DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California, 94720, USA.
Scientific data
|November 6, 2024
概括
数据引用探索器 (DCE) 通过使用尚未正式引用的基因组数据自动查找科学文献. 这种工具可以提高数据引用的准确性,并有助于跟踪基因组数据资源的影响.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 科学文献分析 科学文献分析
背景情况:
- 数据和出版物测序的指数增长需要自动化方法来将文献与基因组信息联系起来.
- 由于数据量,科学文献和基因组数据之间的关联的手动策划变得越来越不可行.
研究的目的:
- 引入数据引用探索器 (DCE),这是一个自动化服务,旨在识别利用基因组数据而没有正式引用的科学出版物.
- 加强基因组数据资源及其相关文献的管理和可发现性.
主要方法:
- 数据引用探索器 (DCE) 服务的开发.
- 利用自动化方法发现和将科学文献与相关的基因组数据集联系起来.
- 将自动发现与手动策划进行比较,以确定数据与文献的关联.
主要成果:
- DCE成功地识别了包含未正式引用的基因组数据的科学文献,扩大了JGI数据产品的已知用例.
- 该服务提供一致的资源覆盖,元数据丰富,并识别冲突的元数据,超越手动策划限制.
- 实施DCE降低了劳动力成本,并提高了美国能源部联合基因组研究所 (JGI) 的基因组元数据的质量.
结论:
- 像DCE这样的自动化工具对于管理现代基因组数据和科学文献的复杂性至关重要.
- 该DCE增强了对JGI研究影响的理解,改善了数据生成的归因,并通过展示数据重复使用来鼓励数据共享.
- 该服务有助于更好地跟踪基因组数据的影响,并促进科学可复制性和数据可访问性.
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