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Ethics of FAIR in neuroimaging

Difficulty level

Over the last three decades, neuroimaging research has seen large strides in the scale, diversity, and complexity of studies, the open availability of data and methodological resources, the quality of instrumentation and multimodal studies, and the number of researchers and consortia. The awareness of rigor and reproducibility has increased with the advent of funding mandates, and with the work done by national and international brain initiatives. This session will focus on the question of FAIRness in neuroimaging research touching on each of the FAIR elements through brief vignettes of ongoing research and challenges faced by the community to enact these principles.


This lecture provides guidance on the ethical considerations the clinical neuroimaging community faces when applying the FAIR principles to their research. This lecture was part of the FAIR approaches for neuroimaging research session at the 2020 INCF Assembly.

Topics covered in this lesson
  • FAIR vs open data
  • Weighing benefits against risks and harms
  • Assessing reidentification risk and sensitivity of data
  • Synthetic data as a possible solution
  • Recommendations for information to participants
  • Some discussion points