Northwestern University schizophrenia data sharing for SchizConnect: A longitudinal dataset for large-scale integration

Alex Kogan*, Kathryn Alpert, Jose Luis Ambite, Daniel S. Marcus, Lei Wang

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

In this paper, we describe an instance of the Northwestern University Schizophrenia Data and Software Tool (NUSDAST), a schizophrenia-related dataset hosted at XNAT Central, and the SchizConnect data portal used for accessing and sharing the dataset. NUSDAST was built and extended upon existing, standard schemas available for data sharing on XNAT Central (http://central.xnat.org/). With the creation of SchizConnect, we were able to link NUSDAST to other neuroimaging data sources and create a powerful, federated neuroimaging resource.

Original languageEnglish (US)
Pages (from-to)1196-1201
Number of pages6
JournalNeuroimage
Volume124
DOIs
StatePublished - Jan 1 2016

Keywords

  • Data mediation and integration
  • Data sharing
  • Neuroinformatics
  • Research datasets
  • Schizophrenia data
  • XNAT

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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