Privacy Policy

Terminology and Definitions

In this section, you will find an overview of the terminology used in this privacy policy. Where the terminology is legally defined, their legal definitions apply. The following explanations, however, are primarily intended to aid understanding.

• Contact data: Contact details are essential information that enables communication with individuals or organizations. They include, among others, phone numbers, postal addresses, and email addresses, as well as means of communication like social media handles and instant messaging identifiers.
• Content data: Content data comprise information generated in the process of creating, editing, and publishing content of all types. This category of data may include texts, images, videos, audio files, and other multimedia content published across various platforms and media. Content data are not limited to the content itself but also include metadata providing information about the content, such as tags, descriptions, authorship details, and publication dates.
• Contract data: Contract data are specific details pertaining to the formalisation of an agreement between two or more parties. They document the terms under which services or products are provided, exchanged, or sold. This category of data is essential for managing and fulfilling contractual obligations and includes both the identification of the contracting parties and the specific terms and conditions of the agreement. Contract data may encompass the start and end dates of the contract, the nature of the agreed-upon services or products, pricing arrangements, payment terms, termination rights, extension options, and special conditions or clauses. They serve as the legal foundation for the relationship between the parties and are crucial for clarifying rights and duties, enforcing claims, and resolving disputes.
• Controller: „Controller“ means the natural or legal person, public authority, agency or other body which, alone or jointly with others, determines the purposes and means of the processing of personal data.
• Employees: As employees, individuals are those who are engaged in an employment relationship, whether as staff, employees, or in similar positions. Employment refers to a legal relationship between an employer and an employee, established through an employment contract or agreement. It entails the obligation of the employer to pay the employee remuneration while the employee performs their work. The employment relationship encompasses various stages, including establishment, where the employment contract is concluded, execution, where the employee carries out their work activities, and termination, when the employment relationship ends, whether through termination, mutual agreement, or otherwise.
• Log data: Protocol data, or log data, refer to information regarding events or activities that have been logged within a system or network. These data typically include details such as timestamps, IP addresses, user actions, error messages, and other specifics about the usage or operation of a system. Protocol data is often used for analyzing system issues, monitoring security, or generating performance reports.
• Meta, communication and process data: Meta-, communication, and procedural data are categories that contain information about how data is processed, transmitted, and managed. Meta-data, also known as data about data, include information that describes the context, origin, and structure of other data. They can include details about file size, creation date, the author of a document, and modification histories. Communication data capture the exchange of information between users across various channels, such as email traffic, call logs, messages in social networks, and chat histories, including the involved parties, timestamps, and transmission paths. Procedural data describe the processes and operations within systems or organisations, including workflow documentations, logs of transactions and activities, and audit logs used for tracking and verifying procedures.
• Performance and behavioural data: Performance and behavioral data refer to information related to how individuals perform tasks or behave within a certain context, such as in an educational, work, or social setting. This data may include metrics such as productivity, efficiency, quality of work, attendance, and adherence to policies or procedures. Behavioral data could encompass interactions with colleagues, communication styles, decision-making processes, and responses to various situations. These types of data are often used for performance evaluations, training and development purposes, and decision-making within organizations.
• Personal Data: „personal data“ means any information relating to an identified or identifiable natural person („data subject“); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person.
• Processing: The term „processing“ covers a wide range and practically every handling of data, be it collection, evaluation, storage, transmission or erasure.
• Usage data: Usage data refer to information that captures how users interact with digital products, services, or platforms. These data encompass a wide range of information that demonstrates how users utilise applications, which features they prefer, how long they spend on specific pages, and through what paths they navigate an application. Usage data can also include the frequency of use, timestamps of activities, IP addresses, device information, and location data. They are particularly valuable for analysing user behaviour, optimising user experiences, personalising content, and improving products or services. Furthermore, usage data play a crucial role in identifying trends, preferences, and potential problem areas within digital offerings