Use case 2: Export a human-readable dataset to OSF

Problem statement

Imagine you have been collecting data and want to share it with others. All your colleagues have only sparse experience with the command line, but are frequent OSF users. Therefore, you place all data in a dataset and export the latest version of your data to the OSF in a human readable way, for others to view it conveniently in the web interface.

As you want a human-readable representation and decide to not share the version history, but only the most recent state of the data, you pick the exportonly sibling mode.

Creating the OSF sibling

Given OSF credentials are set, we can create a sibling in export-only mode. We will also make the project public (--public), and attach a custom description (--description) to it.

The code below will create a new public OSF project called best-data-ever, a dataset sibling called osf-exportonly-storage. This sibling is a sole storage sibling – in technical terms, a git-annex special remote. It will not contain version history, but all your dataset’s files.

# inside of the tutorial DataLad dataset
$ datalad create-sibling-osf --title best-data-ever \
  --mode exportonly \
  -s osf-export \
  --description "This carefully acquired data will bring science forward" \
  --public

create-sibling-osf(ok): https://osf.io/<id>/
# note that the sibling name as an appended "storage" suffix!
$ datalad siblings
 .: here(+) [git]
 .: osf-annex(-) [osf://n6bgd (git)]
 .: osf-export-storage(+) [osf]          # created in this example
 .: osf-annex-storage(+) [osf]

Publishing the dataset

To publish the current state (the HEAD) of the dataset, simply run:

$ datalad push  --to osf-export-storage
  copy(ok): .datalad/.gitattributes
  copy(ok): .datalad/config
  copy(ok): .gitattributes
  copy(ok): books/bash_guide.pdf
  copy(ok): code/example.txt
  action summary:
     copy (ok: 5)

The resulting project has a human readable structure, and all its data can be viewed and downloaded via the OSF interface. It is not possible to clone this dataset with DataLad, however potential users can still download it from the standard OSF interface.

../_images/public_exportonly_sibling.png