Analysis Results Model

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Project Overview

  • Development of standard models and technical standards for the storage and usage of analysis results data and metadata to support clinical and non-clinical applications.

Project Leads

Name Role Organization E-mail
Marc Andersen Project Leader StatGroup ApS
Tim Williams Project Leader UCB

Project Participants

Name Organization E-mail
Marcelina Hungria DIcore Group
Ippei Akiya Data Driven
Frederik Malfait IMOS
Gleb Kotelnytsky Roche
Hansjörg Frenzel Prahs
Dirk Spruck Accovion GmbH
Xiaojun Jie FDA

Project Rationale

This team is tasked with determining the logical model for the representation of analysis results and their associated metadata for clinical and non-clinical applications. Historically, the process of creating results in clinical and non-clinical development has been very labor intensive and inefficient. This team will be determining a semantic representation of the Analysis Results & Metadata model primarily based on RDF and OWL. The representation of analysis results in this manner will facilitate traceability and support broader process efficiency.

Project Deliverables

  • Assessment of using RDF data cube vocabulary for representing Analysis Results & Metadata
  • Proof of concept including
  1. Creation of a functional R package that creates RDF Data Cubes and associated documentation
UPDATE 23-Sep-16: R package available on PhUSE GitHub here:
  1. Adaptation of a Phuse Code Repository SAS program to use as input into the R package to generate an RDF Data Cube
  2. Creation of a SAS program that queries the RDF Data Cube using SPARQL to reproduce a table with the same layout as the Phuse Scripting team
  • Technical specification of the cube model
UPDATE 23-Sep-16: Released Technical Specification Version 1.0: File:ARM-CubeStructureTechSpec-V-1-0.pdf
The technical specification provides details of the RDF Data cube structure produced using the R Package. Use it as a reference for querying the cube or extending the existing model for your own purposes. Version 1.0 is considered a proof of concept. Additional development is required, specifically in the areas of codelist implementation and multi-cube/hypercube management.

* White Paper for considerations and benefits of modeling Analysis Results & Metadata in RDF

Project Related Documents

W3C RDF Data Cube

Statistics Ontologies for representing Analysis Results & Metadata

AR&M Publications

CSS 2015 Files and notes

PhUSE 2015 TT07 Supplementary material - interactive summary tables

Semantic Technology Curriculum