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FaceBase: A Community-Driven Hub for Data-Intensive Research.

R E Schuler1, A Bugacov1, J G Hacia2

  • 1Viterbi School of Engineering, Information Sciences Institute, University of Southern California, Marina del Rey, CA, USA.

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Summary
This summary is machine-generated.

The FaceBase Consortium promotes FAIR data sharing in dental and craniofacial research. This initiative enhances data reproducibility and enables deep phenotyping across species.

Keywords:
craniofacial abnormalitiesdata curationdevelopmental biologygenomicsmolecular geneticsmorphogenesis

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Area of Science:

  • Dental and Craniofacial Research
  • Genomics
  • Bioinformatics

Background:

  • Dental and craniofacial research is data-intensive, necessitating robust data sharing practices.
  • The FaceBase Consortium was established in 2009 by the National Institute of Dental and Craniofacial Research to address these needs.
  • Data sharing is crucial for result validation, reproducibility, and data reuse, adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable).

Purpose of the Study:

  • To present the operational results of the FaceBase Consortium over its first 2.5 years.
  • To summarize data sets published within the FaceBase repository.
  • To highlight the utility of FaceBase resources through a research example on cleft lip and palate.

Main Methods:

  • Establishing and managing an open community data repository.
  • Implementing FAIR data principles for data management and accessibility.
  • Showcasing data contribution and utilization through a specific research case study.

Main Results:

  • FaceBase successfully operates as a scalable, self-curated data repository.
  • Numerous data sets have been published and made available to the research community.
  • A research highlight demonstrated the identification of regulatory networks and noncoding RNAs in cleft lip/palate using FaceBase resources.

Conclusions:

  • The FaceBase Consortium effectively facilitates data-intensive dental and craniofacial research.
  • The repository enhances data reproducibility and enables deep phenotyping across species.
  • FaceBase serves as a dynamic, evolving resource for the scientific community.