Difference between revisions of "Data Assessment and Harmonisation APIs"

Revision as of 10:37, 4 October 2012

Data Assessment and Harmonisation APIs provide access to services that deal with a great heterogeneity of data sources having different characteristics both in terms of data types they offer and of data behavior differentiating across the same type. This page outlines the design rationale for those APIs.

Overview

Time-Series-Service

• Description: management of the entire life-cycle of datasets representing time series
• Type: gCube Web Service
• Protocol: SOAP
• Framework: gCore
• Key Features:

• import and export in multiple formats (e.g. SDMX, csv);
• semi-automatic curation;
• aggregation, grouping, union, denormalisation and filtering;
• versioning;
• logging of time series changes for provenance;

• Documentation

Occurrence Data Management

• Description: a set of features for performing assessment and harmonization on occurrence points of species
• Type: gCube Web Service
• Protocol: SOAP
• Framework: gCore
• Key Features:
  • Import from SPD
  • Occurrence Points visualization, aggregation and transformation
  • Merge, Subtraction and Intersection operations
  • Points Clustering
  • Anomaly Point Detection
• Documentation

Odm-client-library

• Description: Client proxies for ODM (Occurrence Data Management endpoints.
• Type: Java
• Protocol: Local
• Framework: CL
• Key Features:

• transparent endpoint discovery and caching
• transparent fault tolerance over endpoint replicas

• Wiki Doc: