image/svg+xml
sub-ds
super-ds
Dataset structure is fully flexible to be able to accommodate domain standards or personal preferences.
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DataLad can obtain required subdataset content on demand. Only content elements actually required for an analysis are present. Directory structure is expanded recursively as needed.
A dataset can be populated withany type of files, and these files can be saved to the dataset.
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Published repositories can beinstalled as subdatasets. This nesting can be arbitrily deep. Datasets can be installed from apath, URL., or data collection.
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Any content is referenced via the dataset that contains it. Dataset state provides unambi-guous version specification for the subdataset.
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DataLad-101/
books/
TLCL.pdf
recordings/
notes.txt
byte-of-python.pdf
longnow/
Long_Now__Conv[...]/
...
progit.pdf
Long_Now__Seminars[...]/
...
2003_11_15[...]
2003_12_13[...]