Sharing Heterogeneous Data: The National Database for Autism Research

The National Database for Autism Research (NDAR) is a secure research data repository designed to promote scientific data sharing and collaboration among autism spectrum disorder investigators. The goal of the project is to accelerate scientific discovery through data sharing, data harmonization, and the reporting of research results. Data from over 25,000 research participants are available to qualified investigators through the NDAR portal. Summary information about the available data is available to everyone through that portal.

[1]  Guido Gerig,et al.  Offering to Share: How to Put Heads Together in Autism Neuroimaging , 2008, Journal of autism and developmental disorders.

[2]  Pat Levitt,et al.  Gastrointestinal Dysfunction in Autism: Parental Report, Clinical Evaluation, and Associated Factors , 2012, Autism research : official journal of the International Society for Autism Research.

[3]  Clark C. Evans,et al.  Using global unique identifiers to link autism collections , 2010, J. Am. Medical Informatics Assoc..

[4]  Maria Y Y Law,et al.  Informatics in radiology: DICOM-RT and its utilization in radiation therapy. , 2009, Radiographics : a review publication of the Radiological Society of North America, Inc.

[5]  Steven C. Horii,et al.  Review: Understanding and Using DICOM, the Data Interchange Standard for Biomedical Imaging , 1997, J. Am. Medical Informatics Assoc..

[6]  Yuan Liu,et al.  A view of the digital landscape for neuroscience at NIH , 2007, Neuroinformatics.

[7]  Mark E. Schmidt,et al.  The Alzheimer's Disease Neuroimaging Initiative: Progress report and future plans , 2010, Alzheimer's & Dementia.

[8]  Geraldine Dawson,et al.  Risk factors for autism: translating genomic discoveries into diagnostics , 2011, Human Genetics.

[9]  D. Geschwind,et al.  Absence of CNTNAP2 Leads to Epilepsy, Neuronal Migration Abnormalities, and Core Autism-Related Deficits , 2011, Cell.

[10]  Arthur W. Toga,et al.  Provenance in neuroimaging , 2008, NeuroImage.

[11]  Allan L. Reiss,et al.  Psychometric Study of the Aberrant Behavior Checklist in Fragile X Syndrome and Implications for Targeted Treatment , 2012, Journal of autism and developmental disorders.

[12]  Jean-Philippe Thiran,et al.  Automatic quality assessment in structural brain magnetic resonance imaging , 2009, Magnetic resonance in medicine.

[13]  Vahram Haroutunian,et al.  Autism Brain Tissue Banking , 2007, Brain pathology.

[14]  M. Milham Open Neuroscience Solutions for the Connectome-wide Association Era , 2012, Neuron.

[15]  C. Lord,et al.  The Simons Simplex Collection: A Resource for Identification of Autism Genetic Risk Factors , 2010, Neuron.

[16]  Yun Jiao,et al.  Structural MRI in Autism Spectrum Disorder , 2011, Pediatric Research.

[17]  Paul M. Thompson,et al.  LONI MiND: Metadata in NIfTI for DWI , 2010, NeuroImage.

[18]  Russ B. Altman,et al.  Bioinformatics challenges for personalized medicine , 2011, Bioinform..

[19]  John D. Van Horn,et al.  Domain-Specific Data Sharing in Neuroscience: What Do We Have to Learn from Each Other? , 2008, Neuroinformatics.

[20]  C. Kasari,et al.  New directions in behavioral treatment of autism spectrum disorders , 2010, Current opinion in neurology.

[21]  Alan C. Evans,et al.  The NIH MRI study of normal brain development , 2006, NeuroImage.

[22]  C. Lajonchere,et al.  Changing the Landscape of Autism Research: The Autism Genetic Resource Exchange , 2010, Neuron.

[23]  Zachary Warren,et al.  A Systematic Review of Medical Treatments for Children With Autism Spectrum Disorders , 2011, Pediatrics.

[24]  Jan G. Bjaalie,et al.  Understanding the Brain through Neuroinformatics , 2008, Front. Neurosci..

[25]  Matthew J. McAuliffe,et al.  Medical Image Processing, Analysis and Visualization in clinical research , 2001, Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001.

[26]  Gary H. Glover,et al.  Reducing interscanner variability of activation in a multicenter fMRI study: Controlling for signal-to-fluctuation-noise-ratio (SFNR) differences , 2006, NeuroImage.

[27]  Stephen H. Koslow,et al.  Neuroinformatics: Opportunities across Disciplinary and National Borders , 1996, NeuroImage.