A Cloud-Optimized Storage for Interactive Access of Large Arrays




FAIR, community, bioimaging, data, cloud, format


For decades, the sharing of large N-dimensional datasets has posed issues across multiple domains. Interactively accessing terabyte-scale data has previously required significant server resources to properly prepare cropped or down-sampled representations on the fly. Now, a cloud-native chunked format easing this burden has been adopted in the bioimaging domain for standardization. The format — Zarr — is potentially of interest for other consortia and sections of NFDI.


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How to Cite

Moore, J., & Kunis, S. (2023). Zarr: A Cloud-Optimized Storage for Interactive Access of Large Arrays. Proceedings of the Conference on Research Data Infrastructure , 1.

Conference Proceedings Volume


Poster presentations II (Call for Papers)
Received 2023-04-26
Accepted 2023-06-30
Published 2023-09-07

Funding data