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Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non-Clinical Applications 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: Marc Andersen, StatGroup ApS; Ian Fleming, d-Wise http:// www.phusewiki.org/wiki/index.php?title=Analysis_Results_Model

Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

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Page 1: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

Analysis Results & Metadata in RDF

Modelling Analysis Results & Metadata to Support Clinical and Non-Clinical Applications

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: Marc Andersen, StatGroup ApS; Ian Fleming, d-Wise

http://www.phusewiki.org/wiki/index.php?title=Analysis_Results_Model

Page 2: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

SAS output from RDF cube

Courtesy of Marcelina Hungria, Dicore Group

Page 3: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

RDF data cube observation

Courtesy of Tim Williams, UCB

Videohttp://youtu.be/9BH_hXmXklU

Page 4: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

RDF data cube vocabulary

http://www.w3.org/TR/vocab-data-cube/http://www.w3.org/TR/vocab-data-cube/

Page 5: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

Technical Guidance

Page 6: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

R package using RRDF for creating RDF data cubes

Package name: RRDFQBCRND0

R package RDF Data Cube (qb) for Clinical Research and Development0

Located at GitHub repository:https://github.com/MarcJAndersen/rrdfqbcrnd0

Uses R-package RRDF to interface to Apache Jena.

Main author Marc Andersen, StatGroup ApS. Initial code and concepts Tim Williams, UCB. Input for programming of tests provided by Ippei Akiya, Data Driven

Page 8: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

Create results as RDF !?

Linked data to support Clinical and Non-Clinical Reporting, Marc Andersenhttps://semstats2014.files.wordpress.com/2014/10/semstats2014_submission_5.pdfPresented at SemStats 2014 | Second International Workshop on Semantic Statistics, https://semstats2014.wordpress.com/

Page 9: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

Under development / almost there

Import results to RDF data cubeValidate cube using W3C Integrity ConstraintsOther types of validationVisualization of cubePresentation of cube as tableVocabulary for Analysis Results & Metadata for clinical and non-clinical applications

Page 10: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

Benefits of representing Analysis Results & Metadata in RDF

TraceabilityCommon structureProvide context to results through metadataProvide new ways for analyzing, combining and visualizing dataMetadata available from standard sources (e.g. CDISC standards in RDF) and other steps in the development process (e.g. from protocol)

Page 11: Analysis Results & Metadata in RDF Modelling Analysis Results & Metadata to Support Clinical and Non- Clinical Applications Development of standard models

Plan for deliverables in 2015Assessment of using RDF data cube vocabulary for representing Analysis Results & Metadata Proof of concept including

Creation of an R package that creates RDF Data Cubes and associated documentation Adaptation of a PhUSE Code Repository SAS program to use as input into the R packageCreation of a SAS program that queries the RDF Data Cube using SPARQL to reproduce the original table

Technical specification of the cube model White Paper for considerations and benefits of modeling Analysis Results & Metadata in RDF