Data Categories. (1) Category A is the Data developed and paid for totally by private funds, or the PAH's (or its subcontractor's) IR&D funds and it is Data to which the PAH (or its subcontractor) retains all rights. Category A Data shall include, but not be limited to,
Data Categories. The transferred personal data concerns the categories of data stated in section 1.5 of the Agreement. Special Data Categories (if appropriate) The transferred personal data concerns the following special categories of data: As set out in the Agreement if any. Processing Operations / Purposes The transferred personal data is subject to the following basic processing activities: use of Personal Data to set up, operate, monitor and provide Cloud Service (including operational and technical support); storage of personal data in dedicated data centers (multi-tenant architecture); upload any fixes or upgrades to Cloud Service; back up of personal data; computer processing of personal data, including data transmission, data retrieval, data access; network access to allow personal data transfer; execution of instructions of Customer in accordance with the Agreement.
Data Categories. The transferred Personal Data concerns the following categories of data: Customer determines the categories of data and/or data fields which could be transferred per Cloud Service subscribed. Customer can configure the data fields during implementation of the Cloud Service or as otherwise provided by the Cloud Service. The transferred Personal Data typically relates to the following categories of data: name, phone numbers, e-mail address, address data, system access / usage / authorization data, company name, contract data, invoice data, plus any application-specific data that Authorized Users transferred or entered into the Cloud Service.
Data Categories. The Player’s Data includes: • master data (forename, surname, artist’s name (only where applicable), place and date of birth, nationality, ID number, Passport number, Tax identification number, bank details); • contact data; • Player Contract data (i.e. contents of the Player Contract); • diseases, injuries and other health-related data; • game- and performance-related information about the Player (e.g., data collected in connection with his appearances in training session and games, also by means of video analyses, such as e.g. covered distances, pass behaviour, running speed of the Player); • data of the Player in view of the public reporting about the Club, the games and the competitions, as well as their respective promotion and the public image and communication of the Club and the commercial use with respect to his activity as a player and his sports personality, e.g. o media content (images, audio visual recordings and audio recordings of the Player, e.g., of interviews); and o official game data, i.e., master data and other information (e.g. Club, position, height and weight) about the Player, as well as game-, competition- and performance-related information about the Player collected by EP and other competition organisers in connection with games.
Data Categories. The following definitions shall be used to classify data for security purposes: Normal: The least restrictive class of data. Although it must be protected from unauthorized disclosure and/or modification, it is often public information or generally releasable under procedures of for processing public records requests. Examples of this class of data are: class schedules, course catalogs, general ledger data, and employee demographic statistics. Sensitive: This class includes data for which specific protections are required by law or for which agencies are obligated to prevent identity theft or similar crimes or abuses. Examples of this class of data are: peoples’ names in combination with any of the following: driver’s license numbers, birth date, student ID number (SID), address, e-mail addresses, telephone numbers. Also included are: agency source code or object code, agency security data, education records including papers, grades, and test results, or information identifiable to an individual that relates to any of these types of information. Confidential: Access to these elements are tightly controlled and audited. Examples of these data are: Social Security Numbers (SSN), financial profiles, medical data, and disciplinary records.
Data Categories. This plan identifies standard data elements and data management processes for the following data categories: • Project identification information • Environmental sampling data • Locational data The individual data elements for each of these categories represent the minimal amount of information that is needed for project specific decision making and data sharing among stakeholders and performing parties. These are further identified in the Data Management section.
Data Categories. 12.1 Personal Data from the Controllers Management Information System is processed by the Processor. This is transparent within the Service and includes information such as identifiable student, staff and parent information. The Processor aims to only process the minimum fields for the Controller to perform their functions whilst using the Service.
Data Categories. 9.3.1. Category A is the Data developed and paid for totally by private funds, or the Research Project Awardee (or its subawardee's) IR&D funds and it is Data to which the Government has “Limited” or “Restricted" rights. Category A Data shall include, but not be limited to,
Data Categories. The transferred personal data concerns the categories of data stated in section 1.5 of the Agreement. Special Data Categories (if appropriate) The transferred personal data concerns the following special categories of data: As set out in the Agreement if any. Processing Operations / Purposes The transferred personal data is subject to the following basic processing activities: use of Personal Data to set up, operate, monitor and provide Cloud Service (including operational and technical support); storage of personal data in dedicated data centers (multi-tenant architecture); upload any fixes or upgrades to Cloud Service; back up of personal data; computer processing of personal data, including data transmission, data retrieval, data access; network access to allow personal data transfer; execution of instructions of Customer in accordance with the Agreement. Appendix III STANDARD CONTRACTUAL CLAUSES (PROCESSORS) For the purposes of art. 46 (2) the GDPR for the transfer of personal data to processors established in third countries which do not ensure an adequate level of data protection And， Customer (in the Clauses hereinafter referred to as “Data Exporter”), OneSource Cloud (in the Clauses hereinafter referred to as “Data Importer”), (each a “Party”, together “Parties”), HAVE AGREED on the Clauses in order to adduce adequate safeguards with respect to the protection of privacy and fundamental rights and freedoms of individuals for the transfer by Data Exporter to Data Importer of the personal data specified in Appendix II. Clause 1
Data Categories. 5.1 The types of Personal Data, categories of Data Subjects and document and media types shared under this ISA are set out in Appendix A.
