Publicly Available Imaging Datasets for Age-related Macular Degeneration: Evaluation according to the Findable, Accessible, Interoperable, Reusable (FAIR) Principles.
Nayoon Gim, Alina Ferguson, Marian Blazes, Sanjay Soundarajan, Aydan Gasimova, Yu Jiang, Clarissa Sanchez Gutiérrez, Luca Zalunardo, Giulia Corradetti, Tobias Elze, Naoto Honda, Nadia Waheed, Anne Marie Cairns, M Valeria Canto-Soler, Amitha Dolmalpally, Mary Durbin, Daniela Ferrara, Jewel Hu, Prashant Nair, Aaron Y Lee, Srinivas R Sadda, Tiarnan D L Keenan, Bhavesh Patel, Cecilia S Lee
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引用次数: 0
Abstract
Age-related macular degeneration (AMD), a leading cause of vision loss among older adults, affecting more than 200 million people worldwide. With no cure currently available and a rapidly increasing prevalence, emerging approaches such as artificial intelligence (AI) and machine learning (ML) hold promise for advancing the study of AMD. The effective utilization of AI and ML in AMD research is highly dependent on access to high-quality and reusable clinical data. The Findable, Accessible, Interoperable, Reusable (FAIR) principles, published in 2016, provide a framework for sharing data that is easily usable by both humans and machines. However, it is unclear how these principles are implemented with regards to ophthalmic imaging datasets for AMD research. We evaluated openly available AMD-related datasets containing optical coherence tomography (OCT) data against the FAIR principles. The assessment revealed that none of the datasets were fully compliant with FAIR principles. Specifically, compliance rates were 5% for Findable, 82% for Accessible, 73% for Interoperable, and 0% for Reusable. The low compliance rates can be attributed to the relatively recent emergence of these principles and the lack of established standards for data and metadata formatting in the AMD research community. This article presents our findings and offers guidelines for adopting FAIR practices to enhance data sharing in AMD research.
期刊介绍:
The primary goal of Experimental Eye Research is to publish original research papers on all aspects of experimental biology of the eye and ocular tissues that seek to define the mechanisms of normal function and/or disease. Studies of ocular tissues that encompass the disciplines of cell biology, developmental biology, genetics, molecular biology, physiology, biochemistry, biophysics, immunology or microbiology are most welcomed. Manuscripts that are purely clinical or in a surgical area of ophthalmology are not appropriate for submission to Experimental Eye Research and if received will be returned without review.