Reading list

Publications on DataSHaPER and Harmonization

Start with the methods paper and the study that applied the method across 53 cohorts. Later guidance describes how to plan and document a harmonization project.

Original research

  1. Fortier and colleagues, 2010. DataSHaPER approach to integrating bioclinical studies. This paper introduces the platform and the logic for deciding whether variables from different studies support the same interpretation.
  2. Fortier and colleagues, 2011. Application across 53 large studies. The authors assessed the potential to construct 148 harmonized variables using information from population studies with a combined 6.9 million participants. That population figure describes the studies included in the assessment. It is not a count of participants with a complete common dataset.
  3. Fortier and colleagues, 2017. Maelstrom Research guidelines. The guidelines give a broader project workflow for preparing, executing and documenting retrospective harmonization.

Related tools and research records

For a quick introduction to target variables and source items, see the methods and glossary.