Support linking to datasets in external repositories? #116
Replies: 3 comments 7 replies
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Hello! This discussion might be more fitting on the ARC specification repo. I will transfer it 🙂 |
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Hey, @shiltemann I guess the most basic constraint there would be, that the data has to be publicly accessible. Then the |
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@HLWeil that's great, indeed it should be publicly accessible, and maybe some confidence that it will stay this way? e.g. a doi link or by defining some trusted repositories? On a practical note, do you have a feeling for the timeline of this feature? E.g. we hope to publish this paper before the end of the year, and would love to cite our ARC in the paper, do you think it might be supported by then or? |
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I am creating an ARC for a project with very large data (>750GB raw sequencing data). This data is all already uploaded to SRA, and it seems wasteful to include it all again in the ARC and take up storage space unnecessarily.
What is the ARC philosophy is here, should we always include all the raw data directly in the ARC, or do we want to support linking to datasets from some of these 'trusted' public repositories as well (e.g. in assay metadata in place of the file path)? Many journals require authors to submit raw data to one of these repositories (SRA, ENA, etc) so it may be a common use case in the community.
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