Abstract
Purpose – The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience data and to enable the analyses demanded by the biomedical research community. Design/methodology/approach – The design and development of the N4U analysis base and related information services addresses the existing research and practical challenges by offering an integrated medical data analysis environment with the necessary building blocks for neuroscientists to optimally exploit neuroscience workflows, large image data sets and algorithms to conduct analyses. Findings – The provision of an integrated e-science environment of computational neuroimaging can enhance the prospects, speed and utility of the data analysis process for neurodegenerative diseases. Originality/value – The N4U analysis base enables conducting biomedical data analyses by indexing and interlinking the neuroimaging and clinical study data sets stored on the grid infrastructure, algorithms and scientific workflow definitions along with their associated provenance information.
Highlights
Unprecedented growth in the availability and accessibility of imaging data of persons with brain diseases has led to the development of computational infrastructures offering scientists access to the image databases
The N4U analysis base enables such analysis by indexing and interlinking the neuroimaging and clinical study datasets stored on the N4U Grid infrastructure, algorithms and scientific workflow definitions along with their associated provenance information
Achieving the challenge of indexing support via Persistency Service One of the primary challenges in the design and development of the analysis base is to provide an index of neuroimaging datasets that are stored on the Grid infrastructure
Summary
Unprecedented growth in the availability and accessibility of imaging data of persons with brain diseases has led to the development of computational infrastructures offering scientists access to the image databases. Aims and Objectives The N4U (https://neugrid4you.eu) virtual laboratory stores image and clinical study datasets, algorithms and pipeline definitions in a Grid-based infrastructure and provides information and analysis services to its user. SenseLab (SenseLab, 2012), developed at Yale University, is a metadata driven system to store scientific data using an entity-attribute-value with classes and relationships representation in a relational database Most of these approaches primarily focus on the storage of clinical data, the N4U analysis base provides a schema to store and retrieve image datasets and contains a layout for storing pipelines, analysis and the processed data such as provenance
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
