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Sometimes you only need a narrow slice of a large dataset, but getting it necessitates transferring the entire dataset, and then extracting what's needed. This can be taxing (or even impossible) due to bandwidth and memory restrictions. Of course, some data providers anticipate this, and provide downloads of subsets of their datasets, but it's impractical to provide all possible slices of data that users might need.
We need a method of retrieving only selected portions of large datasets. I expect that Dat will be a solution to this, but of course more solutions are always good.
This was an issue raised by a SRCCON attendee in July, at a discussion about open data needs.
The text was updated successfully, but these errors were encountered:
Sometimes you only need a narrow slice of a large dataset, but getting it necessitates transferring the entire dataset, and then extracting what's needed. This can be taxing (or even impossible) due to bandwidth and memory restrictions. Of course, some data providers anticipate this, and provide downloads of subsets of their datasets, but it's impractical to provide all possible slices of data that users might need.
We need a method of retrieving only selected portions of large datasets. I expect that Dat will be a solution to this, but of course more solutions are always good.
This was an issue raised by a SRCCON attendee in July, at a discussion about open data needs.
The text was updated successfully, but these errors were encountered: