The most basic scenario for a Publisher is to provide access to the datasets they own or manage. However, a Publisher may offer a service to execute some computation on top of their data. This has some benefits:
With Compute-to-Data, datasets are not allowed to leave the premises of the data holder, only algorithms can be permitted to run on them under certain conditions within an isolated and secure environment. Algorithms are an asset type just like datasets. They too can have a pool or a fixed price to determine their price whenever they are used.
-`"compute"` - private. The algorithm is only available to use as part of a compute job without any way to download it. The Algorithm must be published on the same Ocean Provider as the dataset it's targeted to run on.
All implementations should set permissions to private by default: upon publishing a compute dataset, no algorithms should be allowed to run on it. This is to prevent data escape by a rogue algorithm being written in a way to extract all data from a dataset.