Data Protocol

Future-oriented infrastructure - Data Protocol.

What is data

There are two types of data, one is normalized data and the other is structured data.

Normalized data is scattered, disorderly, and without a fixed format. This data cannot be directly used for external interactions and transactions. This data has only two attributes, one is the content and the other is the generation time. Our daily chat records, visit history, shopping lists, article blogs and others belong to this kind of data. The data has the characteristics of intuitive visibility, free reproducibility, forgeability, and non-traceability.

Structured data has a strict representation. Can be used for external interaction and transactions. This data type has the five attributes. The rest of this article discusses structured data.

Attribute

Owner: Indicates the producer of the data, and the producer is the owner. Structured data has strict data validation rights.
DID: Represents the unique identity of the data.
Parent-DID: The data is marked as a modified copy of the original data. This is an optional attribute, and the data generated for the first time does not have this attribute by default.
Value: Indicates the specific content and form of the data.
Lifetime: Represents the generation time and expiration time of the data, and is also the entire life cycle of the data.

For example:

{
  "owner": "000000000000000000",
  "did": "base58000000000000",
  "pid": "base58000000000000",
  "value": "type:xxxxx:0101010101",
  "time": "00120112:00123423",
}

Features

Visibility

Unencrypted and permissionless: anyone and organization can access data, and can read the attributes of the data (public, public network).
Unencrypted and permissioned: data can be obtained only with permission, and data attributes can be read (private, local sharing).
Encrypted and permissionless: anyone and organization can access data, but cannot read the attributes of the data (private, decentralized storage).
Encrypted and permissioned: data can be obtained only with permission, and the attributes of the data can be read (private, distributed storage).

Verifiability

Can verify the ownership of the data.
Can verify the uniqueness, completeness and timeliness of data.
Can verify the access and operational rights to the data.

Processability

Data can be read.
Data can be modified.
Data can be processed.
Data can be deleted.

Reproducibility

Data can be copied, copying all attributes of the data.
Data can be propagated, propagating all the attributes of the data.
Modify the attributes of the data, the data will no longer be the same.

Core protocol

Data Identity Protocol

Data unique identification and attributes. detail
Verifiable protocol of data. detail

Data Process Protocol

Data generate. detail
Data read. detail
Data computer. detail
Data modify. detail
Data delete. detail

Data Storage Protocol

Storage value
- Unencrypted storage. detail
- Encrypted storage. detail
Storage location
- Local storage. detail
- cloud storage. detail
- Distributed storage. detail
- Decentralized storage. detail

Data Exchange Protocol

Data summary and proof. detail
Data copy and proof. detail
Third party guarantee transaction. detail
No third party guarantee transaction. detail

Contributing

Your contributions are always welcome! Please take a look at the contribution guidelines first.

If you have any question about this opinionated list, do not hesitate to contact us @CympleTech on Twitter or open an issue on GitHub.

Shield:

This work is licensed under a Creative Commons Attribution 4.0 International License.

License

CympleTech/data-protocol

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