Explore a full suite of tools & services designed to help you define, describe, and transform your datasets into interoperable DataCubes. From building structured Data Structure Definitions and managing the Data Model Components and Codelists, to RDFising and annotating with well-known vocabularies your datasets — the CubeModeler will assist you in every step. Browse your own catalogs of data structures definitions, datasets and codelists, and bring consistency and connectivity to your data lifecycle and data integration needs.
Tools & Services
Select components (dimensions, measures, attributes) from the UPCAST enviromental data models to build your specific Data Structure Definition (DSD)
Describe your datasets with various metadata from multiple vocabularies (UPCAST, DCAT, DCMI, PROV and others) for clarity and interoperability
The CubeModeler RDFiser will guide you to transform your dataset into RDF/TTL format based on your mapping and the dataset requirements
Create a new component for the UPCAST data model, in case it seems more suitable than the current components
Assign additional relations to your data model components
Activate and edit your data model components
Import a new Codelist, related to a CubeModeler component
Create a new Codelist directly from your dataset.
Catalogs
Explore, edit and download all your available Data Structure Definitions
Browse your described Datasets, preview, edit and download all relevant info
Check code definitions, descriptions, and categories of the CubeModeler Codelists for your dataset needs
Knowledge Graph statistics (number of entities, dimensions used etc)