New technologies are making possible the generation of rich observational datasets. The last recipient of these datasets is the scientific community, who is looking forward to new data. It exists a gap from the generation/acquisition of data until its reception. It is a challenging problem, as the amount of data to be delivered continues growing. This problem becomes even harder when adding constraints such as transmission channel specifications (the Internet, wireless, satellites, specific networks...), SLAs with economic implications (real-time, availability, reliability, etc.), copyrights, etc.. We welcome proposals and experiences related to the distribution of large datasets from its source to its destiny.

This session includes but is not limited to:

1) Data delivery methods for large datasets (compression, data partition...)
2) Subscription models
3) Data distribution architectures and policies
4) Data distribution in real-time
5) Examples of scenarios and employed solutions
6) Dealing with SLAs in data delivery
7) Monetizing the delivery of open access data (agreements, data open access, etc.)