Data Assessment and Harmonisation APIs

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

Name	Description	Type	Protocol	Framework
Time-Series-Service		gCube Web Service	SOAP	gCore
Occurrence Data Management		gCube Web Service	SOAP	gCore
Odm-client-library		Java	Local	CL

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:
  • Occurrence Points Enrichment
  • Occurrence Points visualization, aggregation and transformation
  • Merge, Subtraction and Intersection operations
  • Points Clustering
  • Anomaly Point Detection
• Wiki Doc: Occurrence Data Reconciliation

Odm-client-library

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

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

• Wiki Doc: