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Data submitters will upload some study files directly to their S3 buckets rather than through Data Tracker. These are typically larger genomic files that cannot be uploaded via Data Tracker. For a given study, stakeholders want to understand the status of uploaded files in S3. They are interested in things like what files the user attempted to upload directly to S3, which of those successfully uploaded, which of those files did not successfully upload (perhaps got corrupted during transfer), which of those files were not found in S3, etc.
Proposed Change or Addition
We can build an S3 accounting dashboard for each study that would help stakeholders quickly understand the state of their uploaded files in S3. See proposed mockups below.
Data submitters will upload some study files directly to their S3 buckets rather than through Data Tracker. These are typically larger genomic files that cannot be uploaded via Data Tracker. For a given study, stakeholders want to understand the status of uploaded files in S3. They are interested in things like what files the user attempted to upload directly to S3, which of those successfully uploaded, which of those files did not successfully upload (perhaps got corrupted during transfer), which of those files were not found in S3, etc.
Proposed Change or Addition
We can build an S3 accounting dashboard for each study that would help stakeholders quickly understand the state of their uploaded files in S3. See proposed mockups below.
https://www.figma.com/proto/EPzcy2XsEQoGBvLWaGBFGQ/Data-Tracker-Sandbox?node-id=123%3A968&scaling=min-zoom&page-id=104%3A57&starting-point-node-id=123%3A968
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