Federated Web-accessible Clinical Data Management within an Extensible NeuroImaging DatabaseReportar como inadecuado




Federated Web-accessible Clinical Data Management within an Extensible NeuroImaging Database - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Neuroinformatics

, Volume 8, Issue 4, pp 231–249

First Online: 22 June 2010

Abstract

Managing vast datasets collected throughout multiple clinical imaging communities has become critical with the ever increasing and diverse nature of datasets. Development of data management infrastructure is further complicated by technical and experimental advances that drive modifications to existing protocols and acquisition of new types of research data to be incorporated into existing data management systems. In this paper, an extensible data management system for clinical neuroimaging studies is introduced: The Human Clinical Imaging Database HID and Toolkit. The database schema is constructed to support the storage of new data types without changes to the underlying schema. The complex infrastructure allows management of experiment data, such as image protocol and behavioral task parameters, as well as subject-specific data, including demographics, clinical assessments, and behavioral task performance metrics. Of significant interest, embedded clinical data entry and management tools enhance both consistency of data reporting and automatic entry of data into the database. The Clinical Assessment Layout Manager CALM allows users to create on-line data entry forms for use within and across sites, through which data is pulled into the underlying database via the generic clinical assessment management engine GAME. Importantly, the system is designed to operate in a distributed environment, serving both human users and client applications in a service-oriented manner. Querying capabilities use a built-in multi-database parallel query builder-result combiner, allowing web-accessible queries within and across multiple federated databases. The system along with its documentation is open-source and available from the Neuroimaging Informatics Tools and Resource Clearinghouse NITRC site.

KeywordsData sharing Federated databases Neuroinformatics Neuroimaging data management Open source  Download fulltext PDF



Autor: I. Burak Ozyurt - David B. Keator - Dingying Wei - Christine Fennema-Notestine - Karen R. Pease - Jeremy Bockholt - Jeffr

Fuente: https://link.springer.com/







Documentos relacionados