Analysis Results Model

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Contents

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 mja@statgroup.dk
Tim Williams Project Leader UCB tim.williams@ucb.com

Project Participants

Name Organization E-mail
Marcelina Hungria DIcore Group mhungria@dicoregroup.com
Ippei Akiya Data Driven ippei.aki@datadriven.jp
Frederik Malfait IMOS frederik.malfait@imos-consulting.com
Gleb Kotelnytsky Roche
Hansjörg Frenzel Prahs
Dirk Spruck Accovion GmbH
Xiaojun Jie FDA xiaojun.jie@fda.hhs.gov

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: https://github.com/phuse-org/rrdfqbcrnd
  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


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