Upload result files to CROSSHub

Prepare the data

The first step in submitting data is preparing your data. The platform has to ways of uploading data: using a file or directly using the python client. The data should include all the compulsory fields and the standard naming convention for variable names.

Upload the data using a CSV or Excel file

Once you have prepared the data, follow these steps:

1. Go to the upload page
2. Sign in with your model credentials
3. Upload one single Excel or CSV file following the template

The platform validates the file. It checks column names, variable names, units, etc. If any specifications are not met, the submission will fail and an error will be returned

Automatic submission with the CROSS Client

This is in experimental stage and subject to changes

crossclient is Python package developed to directly interact with the CROSS platform. It allows for the automatic submission of result files using python and without any manual upload. A more detailed description of the process and example code is proveded in the documentation. The current version allows for automatic upload. In future releases we add the possibility to validate files locally, i.e., before the upload of the results.