Personal Data Categories. Identity data, contact details, opinion data and such other personal data categories as relevant.
Personal Data Categories. The Data Processing Agreement includes processing of the following categories of Personal Data about the Registered Individual: • Name • Email • Phone number
Personal Data Categories. Below is a categorization of personal data that ROBOCASH processes in relation to its Users and the data processing requirement that applies to each personal data category or may apply depending on the processing case at hand. Legal requirement is a requirement placed on ROBOCASH by the applicable legislation. Failure by the User to provide this data category or by ROBOCASH to collect this data category shall prevent ROBOCASH from entering into Agreement or force ROBOCASH to end the Agreement unilaterally. Requirement to enter into contract is a requirement that is needed to conclude the Agreement. Failure by the User to provide this data category or by ROBOCASH to collect this data category shall prevent ROBOCASH from entering into Agreement. Contractual requirement is a requirement that ensures the ability of ROBOCASH to maintain the Agreement. Failure by the User to provide this data category or by ROBOCASH to collect this data category shall force ROBOCASH to end the Agreement unilaterally. Legitimate interest is the legal basis for processing the personal data as described earlier in the present Privacy Policy. Failure by ROBOCASH to process this data category may reduce the ability of ROBOCASH to provide the best possible product to its target audience.
Personal Data Categories. The Customer may submit Personal Data to the Services, the extent of which is determined and controlled by Customer in its sole discretion, and which may include, but is not limited to Personal Data relating to the following categories of data subjects: ● Customers and Customer End Users (who are natural persons) and their chosen contacts. ● Contact persons, travelers, assistants, agents, employees and other natural persons of Customer End Users. ● Employees, agents, advisors, freelancers of Customer (who are natural persons) ● Customer’s Users authorised by Customer to use the Services. Data Subject Types: The Customer may submit Personal Data to the Services, the extent of which is determined and controlled by Customer in its sole discretion, and which may include, but is not limited to the following categories of Personal Data: ● First and last name ● Title ● Position ● Employer ● Contact information (company, email, phone, physical business address) ● ID data ● Professional life data ● Personal life data ●Travel related data ●Encrypted credit/charge/debit card data ● Localisation data Authorised Persons: Authorised Users.
Personal Data Categories. The following Personal Data Categories are processed: • Title • First name • Last name • Email address • Default currency • Address • Telephone number • Mobile phone number • Website • Source and target languages • Subject matter specialization • Rate cards • Access rights to XTM International (e.g. which customer data can be accessed etc.) • Rating (score card for quality etc.) • Tasks allocated • Any source text for translation which may contain personal data that is uploaded to XTM
Personal Data Categories. The categories of personal data you will process are the name, contact details (phone number and email address), information about the university course and information about the support delivered to the student you are matched with. The special category personal data you may process is information about the student’s disability.
Personal Data Categories. Categorías de datos personales The following categories of personal data of applicants may be affected: • Personal details: Title, academic degree, first name, last name, nationality, date of birth, etc. • Contact and address details: Street, house number, ZIP code, city, country, state, telephone number, fax number, email address, etc. • Application data: Application image, letter, CV, work experience/reports, (higher education) reports and other qualifications, driver’s license, willingness to travel, etc. • Account and protocol data: Applicant account, username, IP address, logfiles • Usage data, if personal: Email content, invitations, feedback, evaluations, etc. Las siguientes categorías de datos personales de los solicitantes pueden verse afectadas: • Datos personales: tratamiento, grado académico, nombre, apellido, nacionalidad, fecha de nacimiento, etc. • Datos de contacto y dirección: calle, número, código postal, localidad, país, estado federado, número de teléfono, fax, dirección de correo electrónico, etc. • Datos de la solicitud: foto de la solicitud, carta de presentación, currículum vitae, experiencia laboral/certificados de trabajo, certificados académicos (universitarios) y otras calificaciones, categoría del permiso de conducir, disponibilidad para viajar, etc. • Datos de cuenta y protocolo: cuenta del solicitante, nombre de usuario, dirección IP, archivos de registro. • Datos de uso, si son personales: contenido del correo electrónico, invitaciones, comentarios, valoraciones, etc. • Special categories of personal data within the meaning of Article 9 of the General Data Protection Regulation: If disclosed/consented, identification possible or necessary for other objective reasons: Ethnic origin, political opinions/party affiliation, trade union membership, religious or philosophical beliefs, genetic/biometric data (e.g., application image), data concerning health (e.g., about a pregnancy, disability or health-based restrictions), sexual orientation (e.g., sex/gender, homosexuality), etc. The following categories of personal data of recruiters, employees and HR managers may be affected: • Personal details: Title, academic degree, first name, last name, functional level, company, etc. • Contact details and address data: Registered office, telephone number, fax, email address, etc. • Account and protocol data: Username, IP address, logfiles, role, protocols of processing within the system, etc. • Usage data: Comments, email content, invitati...
Personal Data Categories the following types of personal data may be processed in the course of the Master Agreement and/or for the Agreed Purposes: Identifiable Personal Data Title, forename(s), surname, maiden name, previous surname, date of birth, National Insurance number, gender, marital Status Identifiable personal contact Data Address (current and previous), postcode, county, telephone numbers (home and mobile), email address Sort code, account number Spouse name and names of dependants [ANY OTHER DATA WHICH MAY BE SHARED] The parties may also share with each other the following special categories of Personal Data: Special Category Health Data Health information about the data subject will be shared by and processed by due to [REASONS FOR PROCESSING HEALTH DATA IF APPLICABLE] Special Category Sex Life/Sexual Orientation Data The categorisation of spousal or other relationships could be used to identify the sex life/sexual orientation of a living subject. Information about Criminal Convictions Information about criminal convictions of patients or clients may be shared where this is relevant to and/or contained in the medico-legal reports provided by the Second Company. [ANY OTHER SPECIAL CATEGORY DATA BEING SHARED?] Data Subject Types: Employees of either party Contractors Patients Customers/clients Employees of customers/clients [ANY OTHER INDIVIDUALS?] ANNEX B Security measures [EACH PARTY TO INSERT DESCRIPTION OF ITS TECHNICAL AND ORGANISATIONAL DATA SECURITY MEASURES SUCH AS:] · [Physical access controls (e.g. locked filing cabinets, what happens to physical patient or personnel files, restrictions on which staff can access records, building security, etc). · System access controls (who can access your IT system, and is it password protected, etc). · Data access controls (who can access specific information on the system and what measures are there in place to ensure unauthorised access – passwords, rules for staff, IT Policy etc). · Data backups. · Any other relevant measures?]
