Before transferring data, ensure you understand the formats used by NASA and the required format for Convex. NASA provides data in various formats such as CSV, JSON, or XML. Confirm the acceptable data formats for Convex and plan for any necessary conversions.

Visit NASA's open data portal or specific project sites to locate the datasets you need. Use direct download links or APIs provided by NASA to acquire the data. If using APIs, ensure you have API keys or any necessary authentication credentials.

Once the data is downloaded from NASA, inspect and clean it as necessary. Use local tools or scripts to convert the data into the format required by Convex. This may involve writing scripts in Python, R, or another language to parse and transform the data.

Ensure you have a Convex account and the necessary permissions to upload data. Familiarize yourself with the data import options provided by Convex, such as any web interface for uploading data or APIs available for data ingestion.

Use the data import options identified in the previous step to upload the prepared data to Convex. This could involve using Convex's web interface for file uploads, or writing scripts that interact with Convex APIs for programmatic data transfer.

After the data is uploaded to Convex, perform validation checks to ensure the data is correctly imported. This could involve running queries or checks within Convex to verify data integrity and completeness.

If you need to move data from NASA to Convex regularly, automate the process by scripting the download, preparation, and upload steps. Use cron jobs or equivalent scheduling tools to run these scripts at required intervals, ensuring the process is efficient and reduces manual intervention.