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Issue-#701: Architecture

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Akshay 2021-11-28 17:56:40 +01:00
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@ -25,17 +25,17 @@ The rest of this page elaborates.
## DataNFT
DataNFTs are based on [ERC721](https://eips.ethereum.org/EIPS/eip-721) standard. The publisher can use Marketplace or client libraries to deploy a new DataNFT contract. To save gas fees, it uses [ERC1167](https://eips.ethereum.org/EIPS/eip-1167) proxy approach on the **ERC721 template**. Each DataNFT has a unique identifier. Publisher can then assign manager role to other ethereum addresses who can deploy new Datatoken contracts and even mint them. Each Datatoken contract is associated with one DataNFT contract.
DataNFTs are based on [ERC721](https://eips.ethereum.org/EIPS/eip-721) standard. The publisher can use Marketplace or client libraries to deploy a new DataNFT contract. To save gas fees, it uses [ERC1167](https://eips.ethereum.org/EIPS/eip-1167) proxy approach on the **ERC721 template**. Publisher can then assign manager role to other ethereum addresses who can deploy new Datatoken contracts and even mint them. Each Datatoken contract is associated with one DataNFT contract.
Click [here](/concepts/nft/) to further read about DataNFTs and Datatokens.
## Datatokens & Access Control Tools
The publisher actor holds the dataset in Google Drive, Dropbox, AWS S3, on their phone, on their home server, etc. The dataset has a URL. The publisher can optionally use IPFS for a content-addressable URL. Or instead of a file, the publisher may run a compute-to-data service.
The asset can be a dataset or an algorithm. The publisher actor holds the asset in Google Drive, Dropbox, AWS S3, on their phone, on their home server, etc. The publisher can optionally use IPFS for a content-addressable URL. Or instead of a file, the publisher may run a compute-to-data service.
In the **publish** step, the publisher invokes **Ocean Datatoken Factory** to deploy a new datatoken to the chain. To save gas fees, it uses [ERC1167](https://eips.ethereum.org/EIPS/eip-1167) proxy approach on the **ERC20 datatoken template**. The publisher then mints datatokens.
The publisher runs **Ocean Provider**. In the **consume** step, Provider software needs to retrieve the data service URL given a datatoken address. One approach would be for the publisher to run a database; however this adds another dependency. To avoid this, it stores the URL on-chain. So that others don’t see that URL, it encrypts it.
The publisher runs their own **Ocean Provider** or can use one deployed by Ocean Protocol. In the **consume** step, Provider software needs to retrieve the data service URL given a datatoken address. One approach would be for the publisher to run a database; however this adds another dependency. To avoid this, Provider encrypts the URL and it URL on-chain.
To initiate the **consume** step, the data consumer sends 1.0 datatokens to the Provider wallet. Then they make a service request to the Provider. The Provider loads the encrypted URL, decrypts it, and provisions the requested service (send static data, or enable a compute-to-data job).
@ -69,9 +69,9 @@ Complementary to Ocean Market, Ocean has reference code to ease building **third
Metadata (name of dataset, date created etc.) is used by marketplaces for data asset discovery. Each data asset can have a [decentralized identifier](https://w3c-ccg.github.io/did-spec/) (DID) that resolves to a DID document (DDO) for associated metadata. The DDO is essentially [JSON](https://www.json.org/) filling in metadata fields. For more details on working with OCEAN DIDs check out the [DID concept documentation](https://docs.oceanprotocol.com/concepts/did-ddo/).
The [DDO Metadata documentation](https://docs.oceanprotocol.com/concepts/ddo-metadata/) goes into more depth regarding metadata structure.
[OEP8](https://github.com/oceanprotocol/OEPs/tree/master/8) specifies Ocean metadata schema, including fields that must be filled. It’s based on the public [DataSet schema from schema.org](https://schema.org/Dataset).
[OEP8](/concepts/did-ddo/) specifies Ocean metadata schema, including fields that must be filled. It’s based on the public [DataSet schema from schema.org](https://schema.org/Dataset).
Ocean uses the Ethereum mainnet as an **on-chain metadata store**, i.e. to store both DID and DDO. This means that once the write fee is paid, there are no further expenses or dev-ops work needed to ensure metadata availability into the future, aiding in the discoverability of data assets. It also simplifies integration with the rest of the Ocean system, which is Ethereum-based. Storage cost on Ethereum mainnet is not negligible, but not prohibitive and the other benefits are currently worth the tradeoff compared to alternatives.
Ocean uses the Ethereum mainnet and other compatible networks as an **on-chain metadata store**, i.e. to store both DID and DDO. This means that once the write fee is paid, there are no further expenses or dev-ops work needed to ensure metadata availability into the future, aiding in the discoverability of data assets. It also simplifies integration with the rest of the Ocean system, which is Ethereum-based. Storage cost on Ethereum mainnet is not negligible, but not prohibitive and the other benefits are currently worth the tradeoff compared to alternatives.
Due to the permissionless, decentralized nature of data on Ethereum mainnet, any last-mile tool can access metadata. **Ocean Aquarius** supports different metadata fields for each different Ocean-based marketplace. Developers could also use [TheGraph](https://www.thegraph.com) to see metadata fields that are common across all marketplaces.