Analysis traceability for biomedical researchers

Richard McClatchey, Jetendr Shamdasani, Andrew Branson, Kamran Munir, Saad Liaquat, Giovanni Frisoni

Research output: Chapter in Book/Report/Conference proceedingConference contribution


With the recent increase in data volumes and algorithm complexity, clinical researchers are increasingly facing problems associated with information tracking, analysis reproducibility and the verification of scientific outputs. Systems are required that provide provenance data capture and management as support for analyses. This paper presents a provenance enabled system that is used in the N4U project, which aims to provide detailed trace ability to support research analysis processes in the study of biomarkers for Alzheimer's disease. To facilitate the orchestration of complex, large-scale analyses in this project we have adapted CRISTAL, a workflow and provenance tracking solution. The use of CRISTAL has provided a rich environment for neuroscientists to track the evolution of both data and workflows in N4U.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computer-Based Medical Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Print)9781479944354
Publication statusPublished - 2014
Event27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014 - New York, NY, United States
Duration: May 27 2014May 29 2014


Other27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014
Country/TerritoryUnited States
CityNew York, NY


  • Biomedical Analysis
  • Grid Computing
  • Neuroimaging
  • Provenance
  • Workflows

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging


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