ArticleJournal of the American Medical Informatics Association : JAMIA
QIS: A framework for biomedical database federation.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A metadata approach for clinical data management in translational genomics studies in breast cancer.BMC medical genomics · 2009Pooled it
- Research Integrated Network of Systems (RINS): a virtual data warehouse for the acceleration of translational research.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- A Semantic-Based Approach for Managing Healthcare Big Data: A Survey.Journal of healthcare engineering · 2020Review
- An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival.BMC medical informatics and decision making · 2018Article
- Supporting retrieval of diverse biomedical data using evidence-aware queries.Journal of biomedical informatics · 2010Article
- Integration of Neuroimaging and Microarray Datasets through Mapping and Model-Theoretic Semantic Decomposition of Unstructured Phenotypes.Cancer informatics · 2009Article
- Bringing Web 2.0 to bioinformatics.Briefings in bioinformatics · 2009Article
- Neuroinformatics: from bioinformatics to databasing the brain.Bioinformatics and biology insights · 2008Article
- SenseLab: new developments in disseminating neuroscience information.Briefings in bioinformatics · 2007Article
- Using web ontology language to integrate heterogeneous databases in the neurosciences.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2006Article
- Automated database mediation using ontological metadata mappings.Journal of the American Medical Informatics Association : JAMIAArticle
- NeuroExtract: facilitating neuroscience-oriented retrieval from broadly-focused bioscience databases using text-based query mediation.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Query Integrator System (QIS) is a database mediator framework intended to address robust data integration from continuously changing heterogeneous data sources in the biosciences. Currently in the advanced prototype stage, it is being used on a production basis to integrate data from neuroscience databases developed for the SenseLab project at Yale University with external neuroscience and genomics databases. The QIS framework uses standard technologies and is intended to be deployable by administrators with a moderate level of technological expertise: It comes with various tools, such as interfaces for the design of distributed queries. The QIS architecture is based on a set of distributed network-based servers, data source servers, integration servers, and ontology servers, that exchange metadata as well as mappings of both metadata and data elements to elements in an ontology. Metadata version difference determination coupled with decomposition of stored queries is used as the basis for partial query recovery when the schema of data sources alters.
Indexed as
Identifiers
What 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.