This article outlines how you can import a data source on the Roseman Labs Platform to be analysed.
1. Log in to your account and make sure you are in the section "Data". Locate the "Add data source" button and click on it to initiate the import process.
2. In the provided fields, enter a descriptive name for the data source. Make sure the name clearly represents the type of dataset it is, as this helps collaborators understand its purpose. You may also optionally provide a description for further context.
3. Next, choose the delimiter that separates the values in your data file. You can select either a comma or a semi-colon as the delimiter. Once selected, click on the "import file" button to proceed (simply drag and drop the .csv file directly into the specified area).
4. Now you can browse your local system to select the desired .csv file. After selecting the CSV file, click on the "Open" button. The system will then start processing the file.
5. Once the data file is imported, you have the option to edit any of the column names if necessary. You can also choose whether to include or exclude each column from the data source. By default, all columns are included automatically, so if there are any columns you don't want to include, simply deselect them.
6. Finally, click the "Encrypt" button to finalize the import of the .csv into the engine.
The data is now secret-shared over the different MPC nodes in your environment, and available for processing in crandas. As a data owner, you can delete it at all times.
Thank you for your time to read this article. If you have feedback or if you seek more information on specific topics, leave your comments below or reach out to support@rosemanlabs.com