Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52738

TitleEnabling data storage and availability of multimodal neuroimaging studies: a NoSQL based solution
Author(s)Fernandes, Filipe
Marques, Paulo César Gonçalves
Magalhães, Ricardo José Silva
Sousa, Nuno
Alves, Victor
KeywordsMongoDB
MRI
Multimodal neuroimaging
NoSQL
Storage
Issue dateMar-2016
PublisherSpringer International Publishing
JournalAdvances in Intelligent Systems and Computing
Abstract(s)Multimodal neuroimaging studies are of major interest in the clinical and research setting, enabling the combined study of the structure and function of the human brain. However, the amount of procedures applied, associated with the production of large volumes of data creates obstacles to the organization, maintenance and sharing of neuroimaging data. Taking this into account, we developed a NoSQL based solution that automates the process of organizing and sharing neuroimaging data. This system is composed by an application, which recognizes the files to be stored through the use of a standardized nomenclature of the files generated in the processing workflows. Additionally, the system is distributed in order to store data as documents enabling users to upload and retrieve files to/from the system in different locations. The prototype enhances the research process, through the simplification and reduction of the time spent organizing and sharing information.
TypeConference paper
URIhttp://hdl.handle.net/1822/52738
ISBN978-3-319-31306-1
DOI10.1007/978-3-319-31307-8_11
ISSN2194-5357
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-319-31307-8_11
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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