FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research

Bridget D Samuels, Robert Aho, James F Brinkley, Alejandro Bugacov, Eleanor Feingold, Shannon Fisher, Ana S Gonzalez-Reiche, Joseph G Hacia, Benedikt Hallgrimsson, Karissa Hansen, Matthew P Harris, Thach-Vu Ho, Greg Holmes, Joan E Hooper, Ethylin Wang Jabs, Kenneth L Jones, Carl Kesselman, Ophir D Klein, Elizabeth J Leslie, Hong LiEric C Liao, Hannah Long, Na Lu, Richard L Maas, Mary L Marazita, Jaaved Mohammed, Sara Prescott, Robert Schuler, Licia Selleri, Richard A Spritz, Tomek Swigut, Harm van Bakel, Axel Visel, Ian Welsh, Cristina Williams, Trevor J Williams, Joanna Wysocka, Yuan Yuan, Yang Chai

Research output: Contribution to journalReview articlepeer-review

Abstract / Description of output

The FaceBase Consortium was established by the National Institute of Dental and Craniofacial Research in 2009 as a 'big data' resource for the craniofacial research community. Over the past decade, researchers have deposited hundreds of annotated and curated datasets on both normal and disordered craniofacial development in FaceBase, all freely available to the research community on the FaceBase Hub website. The Hub has developed numerous visualization and analysis tools designed to promote integration of multidisciplinary data while remaining dedicated to the FAIR principles of data management (findability, accessibility, interoperability and reusability) and providing a faceted search infrastructure for locating desired data efficiently. Summaries of the datasets generated by the FaceBase projects from 2014 to 2019 are provided here. FaceBase 3 now welcomes contributions of data on craniofacial and dental development in humans, model organisms and cell lines. Collectively, the FaceBase Consortium, along with other NIH-supported data resources, provide a continuously growing, dynamic and current resource for the scientific community while improving data reproducibility and fulfilling data sharing requirements.

Original languageEnglish
Issue number18
Publication statusPublished - 21 Sept 2020

Keywords / Materials (for Non-textual outputs)

  • Animals
  • Databases, Factual
  • Dental Research/methods
  • Facial Bones/physiology
  • Humans
  • Reproducibility of Results
  • Research Personnel
  • Skull/physiology


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