ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011
NeuroLOG: sharing neuroimaging data using an ontology-based federated approach.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- MRIO: the Magnetic Resonance Imaging Acquisition and Analysis Ontology.Neuroinformatics · 2024Article
- Surgical data science - from concepts toward clinical translation.Medical image analysis · 2022Review
- Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on "Frontiers in Neuroinformatics".Frontiers in neuroinformatics · 2022Review
- The LORIS MyeliNeuroGene rare disease database for natural history studies and clinical trial readiness.Orphanet journal of rare diseases · 2021Article
- Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies.Frontiers in neuroinformatics · 2020Article
- Neuroimaging Feature Terminology: A Controlled Terminology for the Annotation of Brain Imaging Features.Journal of Alzheimer's disease : JAD · 2017Article
- Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework.Frontiers in neuroinformatics · 2017Article
- Article
- Biomedical imaging ontologies: A survey and proposal for future work.Journal of pathology informatics · 2015Article
- A multilayer ontology of instruments for neurological, behavioral and cognitive assessments.Neuroinformatics · 2015Article
- OntoVIP: an ontology for the annotation of object models used for medical image simulation.Journal of biomedical informatics · 2014Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
This paper describes the design of the NeuroLOG middleware data management layer, which provides a platform to share heterogeneous and distributed neuroimaging data using a federated approach. The semantics of shared information is captured through a multi-layer application ontology and a derived Federated Schema used to align the heterogeneous database schemata from different legacy repositories. The system also provides a facility to translate the relational data into a semantic representation that can be queried using a semantic search engine thus enabling the exploitation of knowledge embedded in the ontology. This work shows the relevance of the distributed approach for neurosciences data management. Although more complex than a centralized approach, it is also more realistic when considering the federation of large data sets, and open strong perspectives to implement multi-centric neurosciences studies.
Indexed as
Identifiers
22195101PMC3243145What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.