The harmonization of data is becoming increasingly important in imaging research. As the complexity and volume of data grow, integrating diverse datasets from different institutions, regions, and imaging modalities presents significant challenges and opportunities. This chapter delves into the role that data harmonization plays in overcoming these challenges and facilitating the generation of comprehensive data repositories that can be shared across research groups and institutions, detailing the different steps required to build such repositories including data de-identification, image annotation, quality control, and harmonization.

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Data Harmonization and Challenges Toward the Generation of Repositories: Sharing Practices and Approaches

  • Ana Jimenez-Pastor,
  • Leonor Cerdá-Alberich,
  • Alexandra Kosvyra,
  • Yang Nan,
  • Xiaodan Xing,
  • Rita Li,
  • Guang Yang

摘要

The harmonization of data is becoming increasingly important in imaging research. As the complexity and volume of data grow, integrating diverse datasets from different institutions, regions, and imaging modalities presents significant challenges and opportunities. This chapter delves into the role that data harmonization plays in overcoming these challenges and facilitating the generation of comprehensive data repositories that can be shared across research groups and institutions, detailing the different steps required to build such repositories including data de-identification, image annotation, quality control, and harmonization.