> For the complete documentation index, see [llms.txt](https://docs.videc.de/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.videc.de/june5-3.7/en/dsgvo-gdpr.md).

# DSGVO / GDPR

## GDPR (General Data Protection Regulation)

VIDEC respects the principles of data protection and data minimization (Privacy by Design). For the JUNE5 product, this means:

### Processing of Personal Data by the Application

The JUNE5 product collects, stores and processes the following personal data:

* Username and login credentials (name, first name and email address are related to username)
* Timestamps of login, logout and access to objects
* When Audit Trail is activated, all changes to an object by a user

If underlying databases are integrated, they may contain personal data that is displayed by JUNE5 (e.g. audit trails, alarm, incident and message databases).

### Purpose

The data mentioned above is required for the following functions:

* Access protection and security measures (username and login credentials)
* Traceability and availability of processes (e.g. access with timestamp to the object)

The storage of data is appropriate and limited to what is necessary, as this is essential for identification of the user.

### Data Configuration

Users can configure underlying data through the JUNE5 product in the following ways:

* Display of measurement time series and alarms in objects such as tables, graphs, dashboards, etc.
* Output and export of this data as an electronic file
* Data collection in the form of measurement time series and alarms
* Passwords for access to underlying histories

### Data Deletion

The JUNE5 product only provides for deletion of data in log files for analysis purposes. This can be configured in NLog.config.

### Data Backup

The data mentioned above cannot be anonymized since the purpose of identifying a user would otherwise not be guaranteed.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.videc.de/june5-3.7/en/dsgvo-gdpr.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.