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In the realm of modern healthcare, data science plays a pivotal role, offering a multitude of benefits to both patients and medical professionals. However, to harness the benefits of the wealth of data now available, the data should be homogenized and accessible. Data standardization ensures uniformity and consistency across different diagnostic modalities whereas metadata provides essential context, encompassing information about data provenance, acquisition protocols, patient demographics, and study parameters. In this paper we present the standardizing approaches of three EU projects focusing on cancer, demonstrating the decisions taken and the workflows adopted. Then we present experiences and problems offering a valuable resource for other similar approaches in the future.

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Standardizing Data and Metadata: Experiences from Three AI4HI Projects

  • 章节

  • 发表日期：

    2025年

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  • Haridimos Kondylakis,
  • Varvara Kalokyri,
  • Alexandra Kosvyra,
  • Pedro Mallol,
  • Stelios Sfakianakis,
  • Sara Colantonio,
  • Dimitrios I. Fotiadis,
  • Kostas Marias,
  • Manolis Tsiknakis

摘要

In the realm of modern healthcare, data science plays a pivotal role, offering a multitude of benefits to both patients and medical professionals. However, to harness the benefits of the wealth of data now available, the data should be homogenized and accessible. Data standardization ensures uniformity and consistency across different diagnostic modalities whereas metadata provides essential context, encompassing information about data provenance, acquisition protocols, patient demographics, and study parameters. In this paper we present the standardizing approaches of three EU projects focusing on cancer, demonstrating the decisions taken and the workflows adopted. Then we present experiences and problems offering a valuable resource for other similar approaches in the future.