Development of a Large-scale Neuroimages and Clinical Variables Data Atlas in the neuGRID4You (N4U) project
Kamran Munir, Khawar Hasham Ahmad, Richard McClatchey

TL;DR
This paper describes the design and development of a comprehensive data atlas within the neuGRID4You project, enabling efficient access and querying of large-scale neuroimaging and clinical data for neuroscientists.
Contribution
It introduces a scalable Data Atlas with advanced indexing and retrieval services tailored for large neuroimaging datasets in a virtual laboratory environment.
Findings
Successful implementation of a data store for neuroimages and clinical data
Development of parameterized querying interfaces
Enhanced accessibility for neuroscientists to large datasets
Abstract
Exceptional growth in the availability of large-scale clinical imaging datasets has led to the development of computational infrastructures offering scientists access to image repositories and associated clinical variables data. The EU FP7 neuGRID and its follow on neuGRID4You (N4U) project is a leading e-Infrastructure where neuroscientists can find core services and resources for brain image analysis. The core component of this e-Infrastructure is the N4U Virtual Laboratory, which offers an easy access for neuroscientists to a wide range of datasets and algorithms, pipelines, computational resources, services, and associated support services. The foundation of this virtual laboratory is a massive data store plus information services called the Data Atlas that stores datasets, clinical study data, data dictionaries, algorithm/pipeline definitions, and provides interfaces for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
