ctjacobs / orchidokie

Lists the datasets associated with a journal article, conference paper, or other publication using ORCID.

Orchidokie

Orchidokie uses the ORCID API (version 2.0) to list the datasets associated with a journal article, conference paper, or other publication.

The tool requires the dataset's ORCID record to contain (in the Work Identifiers section of the metadata):

1. The DOI of the dataset itself, marked as Self.
2. The DOI of the associated publication, marked as Part of.

This is so far only a prototype aimed at highlighting how good metadata practices can help with data discovery.

Dependencies

The tool relies heavily on a Python implementation of the ORCID API, which can be obtained from GitHub and installed using the following commands:

git clone https://github.com/ORCID/python-orcid.git
cd python-orcid
git checkout 2.0update
sudo python setup.py install

Note the switch to the 2.0update branch.

Setup

A "Client ID" and a "Client Secret" are required. These can be obtained by creating a new application in the Developer Tools section of the ORCID website. They should be passed in at the command line, along with the DOI of the publication:

python orchidokie.py client_id_here client_secret_here 10.000/doi.123.here

Example

~/orchidokie $ python orchidokie.py CLIENT_ID_HIDDEN CLIENT_SECRET_HIDDEN 10.1016/j.jocs.2016.11.001
Datasets of 10.1016/j.jocs.2016.11.001:

	 * Enstrophy and kinetic energy data from 3D Taylor-Green vortex simulations (https://doi.org/10.5258/SOTON/401892)

License

Orchidokie is released under the MIT license. See the LICENSE file for more information.