How to upload academic research data through the platform?

Uploading academic research data through the platform is a supported and feasible process facilitated by the platform's dedicated data repository interface. Users with appropriate authorization can directly submit their datasets. Successful upload requires adherence to the platform's specific prerequisites. Ensure data is organized and packaged appropriately using supported file formats. Valid authentication and necessary permissions are mandatory. Metadata must be provided according to defined standards and schemas relevant to the data type and discipline. Be mindful of the platform's size limitations per file and total upload. The platform typically supports widely accepted file types like CSV, ZIP, NetCDF, and various image formats, though specific restrictions apply. To upload, first log into the platform using your institutional credentials and navigate to the designated data submission section. Locate and select the 'Upload' or 'Submit Dataset' function. Browse your local system or connected storage to choose the files or folders you wish to upload. Provide required descriptive metadata for discovery and compliance, potentially utilizing available templates or validation tools. Finally, initiate the upload process and verify successful completion through the confirmation notification; the data will then be processed and stored persistently within the repository.