The Informatics Backbone of the Brain Genomics Superstruct Project Open Data Release
-
1
Harvard University, Neuroinformatics Research Group, United States
-
2
Harvard University, Center for Brain Science, United States
Large scale imaging data sets are necessary to address complex questions regarding the relationship between brain and behavior. Generating, storing and analyzing the required data are a daunting enterprise for many independent research groups. In 2007, the Open Access Series of Imaging Studies (OASIS) sought to remove these obstacles by developing a distribution model for free and reusable magnetic resonance imaging data sets (Marcus et al., 2007). The community has benefited from these and other open data initiatives including the 1000 Functional Connectomes Project (Biswal et al., 2010) and the upcoming NIH Human Connectome Project data release (Van Essen et al., 2012). The availability of open data creates opportunities for researchers to contribute scientifically while spending less time and resources gathering independent, and often redundant, data. In the spirit of these initiatives, the Brain Genomics Superstruct Project Open Data Release presented here reflects the public release and informatics behind a uniform, high-quality collection of neuroimaging, cognitive, behavioral and derived data for 1,500 human participants. These data sets will be available from a hosted or downloadable installation of the eXtensible Neuroimaging Archive Toolkit (XNAT; Marcus et al., 2007). Each data set will contain T1-weighted and bandwidth-matched T2-weighted structural data, low-resolution DTI, resting state BOLD acquisitions and, for a subset of subjects, DSI data amenable to tractography. Demographic, cognitive (e.g., WAIS III, WMS III), personality (e.g., STAI-T, NEO) and lifestyle metrics will also be provided. Each data set will be accompanied by a fully-automated quality assessment of functional acquisitions, manual quality assessments of anatomical acquisitions, and pre-computed analyses of intrinsic connectivity (Van Dijk et al., 2010) and morphometrics (Fischl et al., 2000; 2004). We will present details regarding the underlying informatics needed to capture, vet and publicly expose these data. We expect that this Brain Genomics Superstruct Project Open Data Release will prove a valuable resource, fueling discoveries, particularly within the NIH Human Connectome Project.
Keywords:
General neuroinformatics
Conference:
5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012.
Presentation Type:
Poster
Topic:
Neuroinformatics
Citation:
O'Keefe
T,
Petrov
V,
Fariello
G,
Holmes
A and
Buckner
R
(2013). The Informatics Backbone of the Brain Genomics Superstruct Project Open Data Release.
Front. Neuroinform.
Conference Abstract:
5th INCF Congress of Neuroinformatics.
doi: 10.3389/conf.fninf.2013.08.00015
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
21 Mar 2013;
Published Online:
27 Nov 2013.
*
Correspondence:
Dr. Timothy O'Keefe, Harvard University, Neuroinformatics Research Group, Cambridge, United States, timothy_okeefe@harvard.edu