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<p>Despite the importance of imaging in biological and medical research, a large body of informative and precious image data never sees the light of day. To ensure scientific rigor as well as the reuse of data for scientific discovery, image data need to be made FAIR (findable, accessible, interoperable and reusable). Image data experts are working together globally to agree on common data formats, metadata, ontologies and supporting tools toward image data FAIRification. With this Perspective, we call on public funders to join these efforts to support their national scientists. What researchers most urgently need are openly accessible resources for image data storage that are operated under long-term commitments by their funders. Although existing resources in Australia, Japan and Europe are already collaborating to enable global image data sharing, these efforts will fall short unless more countries invest in operating and federating their own open data resources. This will allow us to harvest the enormous potential of existing image data, preventing substantial loss of unrealized value from past investments in imaging acquisition infrastructure.</p>

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Enabling global image data sharing in the life sciences

  • 期刊论文

  • 发表日期：

    2025年3月28日

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  • Peter Bajcsy,
  • Sreenivas Bhattiprolu,
  • Katy Börner,
  • Beth A. Cimini,
  • Lucy Collinson,
  • Jan Ellenberg,
  • Reto Fiolka,
  • Maryellen Giger,
  • Wojtek Goscinski,
  • Matthew Hartley,
  • Nathan Hotaling,
  • Rick Horwitz,
  • Florian Jug,
  • Isabel Kemmer,
  • Anna Kreshuk,
  • Emma Lundberg,
  • Aastha Mathur,
  • Kedar Narayan,
  • Shuichi Onami,
  • Anne L. Plant,
  • Fred Prior,
  • Jason R. Swedlow,
  • Adam Taylor,
  • Antje Keppler

摘要

Despite the importance of imaging in biological and medical research, a large body of informative and precious image data never sees the light of day. To ensure scientific rigor as well as the reuse of data for scientific discovery, image data need to be made FAIR (findable, accessible, interoperable and reusable). Image data experts are working together globally to agree on common data formats, metadata, ontologies and supporting tools toward image data FAIRification. With this Perspective, we call on public funders to join these efforts to support their national scientists. What researchers most urgently need are openly accessible resources for image data storage that are operated under long-term commitments by their funders. Although existing resources in Australia, Japan and Europe are already collaborating to enable global image data sharing, these efforts will fall short unless more countries invest in operating and federating their own open data resources. This will allow us to harvest the enormous potential of existing image data, preventing substantial loss of unrealized value from past investments in imaging acquisition infrastructure.