ArticleJournal of pathology informatics2010
The tissue microarray OWL schema: An open-source tool for sharing tissue microarray data.
Article in Journal of pathology informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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Who cites it
3 citing papers in PubMed.
- REDCap and the National Mesothelioma Virtual Bank-a scalable and sustainable model for rare disease biorepositories.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Extending the tissue microarray data exchange specification for inclusion of data analysis results.Journal of pathology informatics · 2011Article
- Using XML to encode TMA DES metadata.Journal of pathology informatics · 2011Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTissue microarrays (TMAs) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential. Resource Description Framework (RDF) provides a flexible method to represent knowledge in triples, which take the form Subject-Predicate-Object. All data resources are described using Uniform Resource Identifiers (URIs), which are global in scope. We present an OWL (Web Ontology Language) schema that expands upon the TMA data exchange specification to address this issue and assist in data sharing and integration.
methodsA minimal OWL schema was designed containing only concepts specific to TMA experiments. More general data elements were incorporated from predefined ontologies such as the NCI thesaurus. URIs were assigned using the Linked Data format.
resultsWe present examples of files utilizing the schema and conversion of XML data (similar to the TMA DES) to OWL.
conclusionBy utilizing predefined ontologies and global unique identifiers, this OWL schema provides a solution to the limitations of XML, which represents concepts defined in a localized setting. This will help increase the utilization of tissue resources, facilitating collaborative translational research efforts.
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Registered trials
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