Abstract
The real world needs of the clinical community require a domain-specific solution to integrate disparate information available from various web-based resources for data, materials, and tools into routine clinical and clinical research setting. We present a child-psychiatry oriented portal as an effort to deliver a knowledge environment wrapper that provides organization and integration of multiple information and data sources. Organized semantically by resource context, the portal groups information sources by context type, and permits the user to interactively “narrow” or “broaden” the scope of the information resources that are available and relevant to the specific context. The overall objective of the portal is to bring information from multiple complex resources into a simple single uniform framework and present it to the user in a single window format.
Highlights
Neuroimaging studies performed with specific hypothesis in mind are highly informative for learning details about human brain development, elucidating the etiology of numerous psychiatric disorders, and developing ways to remedy them
This general concept regarding the latent-content of research data has led to development of numerous neuroimaging data sharing resources, such as NDAR (Hall et al, 2012), NIH Pediatric Database (Evans, 2006), CANDIShare (Kennedy et al, 2012), and Alzheimer’s disease neuroimaging initiative (ADNI) (Jack et al, 2008), which make neuroimaging data available to interested users
The Entrez Gene results are further processed and presented with the top five most published genes for the disorder-ROI combination, as shown in Figure 3D for the Bipolar-Amygdala query which has only four genes that have common publications for Bipolar disorder and Amygdala despite the list of 33 genes produced by Entrez Gene
Summary
Neuroimaging studies performed with specific hypothesis in mind are highly informative for learning details about human brain development, elucidating the etiology of numerous psychiatric disorders, and developing ways to remedy them. The data collected during these individual studies can be a resource for extracting additional information about the disorder or the human brain in general. This general concept regarding the latent-content of research data has led to development of numerous neuroimaging data sharing resources, such as NDAR (Hall et al, 2012), NIH Pediatric Database (Evans, 2006), CANDIShare (Kennedy et al, 2012), and ADNI (Jack et al, 2008), which make neuroimaging data available to interested users. Despite the burgeoning set of resources hosting research information, attempts to query across these distributed resources are daunting due to variation in the underlying data models, schema and interfaces
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