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FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research
Author(s) -
Bridget D. Samuels,
Robert Aho,
James F. Brinkley,
Alejandro Bugacov,
Eleanor Feingold,
Shan Fisher,
Ana S. González-Reiche,
Joseph G. Hacia,
Benedikt Hallgrímsson,
Karissa Hansen,
Matthew P. Harris,
ThachVu Ho,
Greg Holmes,
Joan E. Hooper,
Ethylin Wang Jabs,
Kenneth L. Jones,
Carl Kesselman,
Ophir D. Klein,
Elizabeth J. Leslie,
Hong Li,
Eric C. Liao,
Hannah K. Long,
Na Lü,
Richard L. Maas,
Mary L. Marazita,
Jaaved Mohammed,
Sara L. Prescott,
Robert Schuler,
Licia Selleri,
Richard A. Spritz,
Tomek Swigut,
Harm van Bakel,
Axel Visel,
Ian Welsh,
Cristina C. Williams,
Trevor Williams,
Joanna Wysocka,
Yuan Yuan,
Yang Chai
Publication year - 2020
Publication title -
development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.754
H-Index - 325
eISSN - 1477-9129
pISSN - 0950-1991
DOI - 10.1242/dev.191213
Subject(s) - interoperability , craniofacial , multidisciplinary approach , biology , visualization , data sharing , data science , data management , resource (disambiguation) , reusability , computer science , world wide web , database , data mining , genetics , medicine , computer network , social science , alternative medicine , software , pathology , sociology , programming language
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.

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