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In this paper we describe the development of a database of PET/CT studies designed with the goal of allowing not only to analyze the images themselves, but also the metadata associated with it (stored in the examination file headers) and new metadata generated from image processing and classification algorithms.
Additionally, we plan to incorporate the metadata generated from image acquisition devices, such as scanner configuration parameters, resolution, lighting, and other experimental variables.
This local database serves as a staging area to store and organize data and metadata generated from a number of high-throughput biological assays.
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By analyzing data and intelligently directing acquisition online, metadata generated at runtime may be used to improve the quality of information extracted from a data set.
The metadata generated in (4) dealing with related domain ontology concepts, and the system-centric metadata generated in (5) are then used to discover and filter out learning resources from various learning repositories.
The wrappers are automatically generated from the component metadata using the Extensible Stylesheet Language.
GeoDCAT XML is generated from existing ISO 19139 / INSPIRE metadata in the catalogue according to the rules defined by the GeoDCAT-AP specification.
Summary: Gene expression or metabolomics data generated from clinical settings are often associated with multiple metadata (i.e. diagnosis, genotype, gender, etc).
Asserted Versioning databases are generated from the combination of a conventional logical data model and a set of metadata entries.
It is generated from dao.
For each potential data element that could be generated from the information model, UML Loader first determines whether a data element exists which is equivalent in semantic meaning on the basis of existing DEC concept annotations and other associated metadata.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com