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Show folder structure in the DataPackageView using atLocation #1452
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I'm giving this issue a bump - I have a dataset which is moderately sized (8 GB), so the download all button is grayed out. Without that, there isn't a way for the average user to access the folder hierarchy this dataset needs, although all of the information is contained within the resource map as an https://arcticdata.io/catalog/view/urn%3Auuid%3A028b8008-8b68-491a-8a13-79b642e1e215 |
We have two existing mockups in the nceas-design repo for this as part of our original Editor refactor. They still look to be pretty good starting points to me. |
Showing a navigable folder structure on our landing pages would be a major improvement, but I might point out that we could consider raising or removing the limit @jeanetteclark mentions running into in her above comment. MetacatUI has a configurable property that controls whether the Download All button is enabled or not and we've currently got it set it to 3GB. I think we could set it higher. Metacat 2.15.1 implements our To get this feature in, I think we also need to talk about backend implementation. The client needs to be sent all or some of the information on which members are in a package and any
I think (2) is probably the best route to go down for the first version but I'd be curious to hear others' thoughts. |
Agreed, @amoeba and I also note that we are about to embark on a "large data package" refactor in which our package design will allow for packages with hundreds of thousands of entities, and they will not necessarily be listed in the ORE. Our initial design discussions have been around building packages from granule/entity level metadata that is not "in" the package at all. Rather the package is an aggregation of metadata from multiple sources, with a central API for efficient access to entity metadata. This would be in addition to our current ORE and EML-based entity lists. So lots to talk about on the back end discussion here. |
@laurenwalker Pinging you on this issue for the hierarchical data display, now that the ESS-DIVE has asked about the timing of this feature, which is also important for Arctic Data Center's big data display, so let's discuss the roadmap for this work. Thanks. |
@mbjones I'll think about this feature and roadmap out a rough timeline for what I think it would take to implement. Be in touch soon. |
@rushirajnenuji has completed initial design and implementation on this, and its now in testing on https://test.arcticdata.io Feedback from @vchendrix at ESS-DIVE on 2023-12-06 on slack is copied here for reference:
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See also additional feedback on the associated PR, as well as the latest commits on this issue: #2209 |
Note: minor UI improvements that we identified above have been included in issue #2283 for a future release |
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