Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources.

This article, titled "Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources," discusses the challenges and advancements in data management, sharing, and mining in the field of neuroscience. The article emphasizes the importance of adhering to the FAIR principles (findable, accessible, interoperable, and reusable) in order to effectively explore, integrate, and reuse datasets. It highlights various resources and repositories that support FAIR data sharing, including Brain-CODE, COINSTAC Vaults, Image and Data Archive (IDA), GAAIN, DPUK, and ADDI. The article also addresses the need for regulatory frameworks for non-human data and the standardization of metadata for neuroimaging and anatomical studies. Overall, the article aims to promote data sharing, reproducibility, and collaboration in neuroscience research. [Extracted from the article]