Try the new QZA creation method!
Creating a Qiime2 qza artifact 
directly from a Galaxy Collection
1. Create your Galaxy Collection!
Single end will have the collection shape List
Paired end reads will have the collection shape List of Pairs
How to create a collection? Easier than clicking on hundreds of datasets! 
→ Why collections?
2. Create your Qiime2 qza artifact!
Go to your history with the collection
Activity bar → Tools → search for qiime2 tools import-fastq Import fastq data into a QIIME 2 artifact
Select your collection on the form and 
Run Tool
All done! Enjoy! 
Screenshots
A history with a list of accessions (dataset 1), which was submitted to Faster Download and Extract Reads in FASTQ format from NCBI SRA to result in a paired end List of Pairs collection (dataset 2). This collection is selected on the form for qiime2 tools import-fastq Import fastq data into a QIIME 2 artifact.
Results! The first few times through, or if you encounter an error with a downstream tool, be sure to double check your artifact metadata by clicking on the dataset to expand!
Use the Versions menu at the top of the tool form to navigate to the version of the artifact you will need for the downstream tools you plan to use! Using the same version throughout your analysis is a best practice to avoid odd results or errors.
Troubleshooting 
Did you get an error? Review your messages using the i icon → Details tab
Our job message is reporting that the tool was expecting compressed fastqsanger reads! Our inputs are in fastqsanger not fastqsanger.gz format. Easy! Use the pencil icon on our input collection and change the datatype for the entire collection in a batch! Now, try the conversion into qza format again!
Collections at the Galaxy Training Network (GTN)