Data Assessment, Harmonisation, and Certification Facilities
Overview
gCube is a software suite equipped with a rich array of services capable to interface with data sources having different characteristics both in terms of data types these sources offers (e.g. from document data, to statistical, biodiversity, and semantic data - see Data Access and Storage Facilities) and the heterogeneity of data belonging to the same type.
The goal of the Data Assessment, Harmonisation, and Certification Facilities is to deal with the above heterogeneity and provide unified views over diverse data items through a number of dedicated services. To meet this goal a number of components have been designed.
This page outlines the design rationale and high-level architecture of such components.
Key Features
The components part of the subsystem provide the following main key features:
- workflow-oriented tabular data manipulation
- user-defined definition and execution of workflows of data manipulation steps
- comprehensive reference-data management support
- uniform model for reference-data representation including versioning and provenance
- support for data curation and enrichment
- mechanisms for enriching species occurrence data with environmental data acquired by various data providers
- standard-based data presentation
- OGC standard-based Geospatial data presentation
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- Plug-able data consumption services
- the data consumption service follow a plugin architecture where the plugin provide access to a type of datasource
- Component reuse
- Components are designed to be reused in different services
- Geospatial data production in OGC standard format
- Geospatial data can be returned to invoking clients in a OGC standard format
- Species Occurrence points enrichment harmonization and reconciliation
- species occurrence points can be associated to environmental data. Moreover they can be merged when coming from different data sources.
- Single access point for geospatial data retrieval
- A single access point service can be used to retrieve geospatial data.
- General purpose tabular data processing
- A set of services provide a tabular data flow mechanism and a set of components for tabular data visualization.
- Data mining operation on species data
- Occurrence data can be processed, clustered and hidden information can be extracted by means of data mining operations.
Main Components
- Tabular Data
- this family of components provides:
- Tabular Data Flow Manager: a service providing tabular data flow management.
- Tabular Data Manager: a set of libraries for tabular data visualization and management.
- Time Series
- this family of components provides:
- Time Series: a service for performing assessment and harmonization on time series.
- Codelist Manager: a library for performing import, harmonization and curation on code lists.
- Biodiversity Data
- this family of components provides:
- Occurrence Data Reconciliation: a service for performing assessment and harmonization on occurrence points of species.
- Occurrence Data Enrichment Service: a service for performing enrichment of information associated to occurrence points of species.
- Taxon Names Reconciliation Service: a service for performing assessment and harmonization on taxa.
