The FaceBase Consortium, funded by the National Institute of Dental and Craniofacial Research of the National Institutes of Health, was established in 2009 with the recognition that dental and craniofacial research are increasingly data-intensive disciplines. Data sharing is critical for the validation and reproducibility of results as well as to enable reuse of data. In service of these goals, data ought to be FAIR: Findable, Accessible, Interoperable, and Reusable. The FaceBase data repository and educational resources exemplify the FAIR principles and support a broad user community including researchers in craniofacial development, molecular genetics, and genomics. FaceBase demonstrates that a model in which researchers “self-curate” their data can be successful and scalable. We present the results of the first 2.5 y of FaceBase’s operations as an open community and summarize the data sets published during this period. We then describe a research highlight from work on the identification of regulatory networks and noncoding RNAs involved in cleft lip with/without cleft palate that both used and in turn contributed new findings to publicly available FaceBase resources. Collectively, FaceBase serves as a dynamic and continuously evolving resource to facilitate data-intensive research, enhance data reproducibility, and perform deep phenotyping across multiple species in dental and craniofacial research.

FaceBase 联盟由美国国立卫生研究院国家牙科和颅面研究所资助，成立于 2009 年，认识到牙科和颅面研究日益成为数据密集型学科。数据共享对于结果的验证和可重复性以及数据的重用至关重要。为了实现这些目标，数据应该是公平的：可查找、可访问、可互操作和可重用。FaceBase 数据存储库和教育资源体现了 FAIR 原则，并支持广泛的用户社区，包括颅面发育、分子遗传学和基因组学的研究人员。FaceBase 证明了研究人员“自我管理”数据的模型是成功且可扩展的。我们展示了 FaceBase 作为开放社区的前 2.5 年的运营结果，并总结了在此期间发布的数据集。然后，我们描述了一项研究亮点，该研究重点是识别与唇裂（有/无腭裂）相关的调控网络和非编码 RNA，这些网络和非编码 RNA 都使用了公开的 FaceBase 资源，并反过来为公开的 FaceBase 资源贡献了新的发现。总的来说，FaceBase 作为一种动态且不断发展的资源，可促进数据密集型研究、增强数据再现性，并在牙科和颅面研究中跨多个物种进行深度表型分析。