A behind-the-scenes tour of the IEDB curation process: an optimized process empirically integrating automation and human curation efforts
A behind-the-scenes tour of the IEDB curation process: an optimized process empirically integrating automation and human curation efforts
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DOI：
10.1111/imm.13234
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发表时间：
2020-07-26
期刊：
影响因子：
6.4
通讯作者：
Sette, Alessandro
中科院分区：
文献类型：
--
作者：
Salimi, Nima;Edwards, Lindy;Sette, Alessandro
免疫表位数据库和分析资源 (IEDB) 为科学界提供表位数据以及表位预测和分析工具的开放访问。 IEDB 拥有最广泛的经过实验验证的 B 细胞和 T 细胞表位数据集，这些数据主要来源于专家管理的已发表文献。数据采购需要系统的识别、分类、管理和质量检查流程。在这里，我们提供对这些流程的见解，特别关注它们在实现项目里程碑方面所付出的红利，以及对我们流程的客观分析如何识别流程优化的机会。这些经验作为生物医学大数据流程实施和审查的好处的案例研究进行分享，并鼓励参与者在这个不断增长的领域分享想法。
The Immune Epitope Database and Analysis Resource (IEDB) provides the scientific community with open access to epitope data, as well as epitope prediction and analysis tools. The IEDB houses the most extensive collection of experimentally validated B-cell and T-cell epitope data, sourced primarily from published literature by expert curation. The data procurement requires systematic identification, categorization, curation and quality-checking processes. Here, we provide insights into these processes, with particular focus on the dividends they have paid in terms of attaining project milestones, as well as how objective analyses of our processes have identified opportunities for process optimization. These experiences are shared as a case study of the benefits of process implementation and review in biomedical big data, as well as to encourage idea-sharing among players in this ever-growing space.