> For the complete documentation index, see [llms.txt](https://docs.cdpi.dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cdpi.dev/technical-notes/data-and-credentialing-infra.md).

# Data Sharing & Credentials 

In the 21st century, data operates as digital capital. The ability to create value from data is especially crucial to those individuals, entities, and societies who may be data-rich even before they are financially rich or healthy.

A DPI approach to data sharing can include the following possible use cases: 

<figure><img src="/files/Nudt1TdtHBcaJ8oS7HIu" alt=""><figcaption></figcaption></figure>

1. The ability to generate **verifiable credentials** for key certificates and claims in a digital society, and share asynchronously with any requester (e.g., proof of education, proof of business registration, proof of work experience, proof of vaccination, etc.)
2. The ability to share **personal data in real-time in a secure, consented manner** bilaterally with a party offering me a service based on the data (e.g., a health diagnosis, a loan, a recommendation, etc.)

The ability for a society to generate **open anonymised datasets** to enable research or trend assessments across various sectors.

Additionally, these open anonymised datasets can be used to train and publish **open AI/ML models** that can be used to better enable access to data-driven services such as real-time language translation models, financial underwriting models, etc.&#x20;