DataLad requirements

Accessing the ICF store contents and cloning datasets generated with the ICF tooling requires DataLad with Datalad-Next extension installed. You can find instructions for installing DataLad on your operating system in the DataLad Handbook. Datalad-Next can be installed with pip [1].

Generating DataLad datasets based on the DICOMS in the ICF store additionally requires the INM-ICF tools, which are packaged as a Singularity container; see Containerized execution. The tools are not required for accessing already existing DataLad datasets.

Obtaining data hosted in the ICF store requires access credentials for a given study, issued by the ICF. DataLad acts only as a client software. See Manage DataLad credentials for details.

Footnotes

[1]

To install software with pip, run a call such as the one below in your favourite virtual environment:

python -m pip install datalad-next