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Data and Process Harmonisation of Multi-National, Multi-Site Research Data.

Jonathan Turner1,2, Sinéad Impey1, Frances Gibbons1

  • 1ADAPT Centre, Trinity College Dublin, Dublin, Ireland.

Studies in Health Technology and Informatics
|August 23, 2024
PubMed
Summary
This summary is machine-generated.

Harmonizing data collection processes across multiple sites is crucial for creating unified research datasets. This study details challenges in process alignment for the multinational Precision ALS project.

Keywords:
Amyotrophic Lateral SclerosisHarmonisationprocess alignment

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Area of Science:

  • Neuroscience
  • Data Science
  • Clinical Research

Background:

  • Multi-site research requires harmonized data for accurate analysis.
  • Semantic integration and standardized collection units are insufficient alone.
  • Data collection process alignment is a critical, often overlooked, factor.

Purpose of the Study:

  • To identify and describe harmonization challenges in multi-site research data collection.
  • To focus on process alignment issues within a multinational project.
  • To inform best practices for future collaborative research data initiatives.

Main Methods:

  • Qualitative analysis of data collection procedures in the Precision ALS project.
  • Identification of discrepancies in data handling across international sites.
  • Case study approach focusing on process alignment challenges.

Main Results:

  • Significant challenges were identified in aligning data collection processes across different national sites.
  • Variations in local protocols and infrastructure hindered full harmonization.
  • Specific examples of process misalignment were documented, impacting data uniformity.

Conclusions:

  • Achieving a fully harmonized research dataset necessitates rigorous alignment of data collection processes.
  • Process harmonization is a key determinant of data quality and analytical validity in multi-site studies.
  • Addressing these challenges proactively is essential for successful international research collaborations like Precision ALS.