Data Assessment and Harmonisation APIs

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Revision as of 16:26, 3 July 2012 by Fabio.sinibaldi (Talk | contribs) (Occurrence Data Management)

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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;

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 endpoints.
  • Type: Java
  • Protocol: Local
  • Framework: CL
  • Key Features:
  • transparent endpoint discovery and caching
  • transparent fault tolerance over endpoint replicas
  • Wiki Doc: