Special Categories of Personal Sample Clauses

Special Categories of Personal. Data that may be accessed and/or will be processed pursuant to the Agreement: (e.g., racial or ethnic origin, political opinions, religious or philosophical beliefs, trade-union membership, genetic data, biometric data for the purpose of uniquely identifying a natural person, data concerning health or data concerning a natural person’s sex life or sexual orientation) •
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Special Categories of Personal. Data that will be shared between the Parties during the term of this TOBA are set out in Annex 2.
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Special Categories of Personal. Data as follows: (a) racial or ethnic origin; (b) political opinions; (c) religious or philosophical beliefs; (d) trade-union membership; and (e) data concerning a natural person's physical or mental health or condition, sex life or sexual orientation; (“Shared User Data”).
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Special Categories of Personal. Data Patient data will not be stored by the ICB as part of this scheme, but access to a designated number of patient records per practice will be required to conduct the validation visits The validation audit is to ensure high standards of quality and safety of health care. (a) Explicit consent: (the data subject has given explicit consent)
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Special Categories of Personal. Data 6.3.3. Osobitné kategórie osobných údajov 6.3.3.1. Study Subjects 6.3.3.1. Účastníci skúšania 3.1.1. Údaje o zdravotnom stave
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Special Categories of Personal. Data shall have the same meaning as in Article 9 of the GDPR; Specified Purpose means the purpose for which the Relevant Information is shared and processed, being to facilitate the exercise of the CCG’s Delegated Functions and NHS England’s Reserved Functions as specified in paragraph 2.1 of Schedule 4 (Further Information Sharing Provisions) to this Agreement;
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Special Categories of Personal. Data A special subset of Personal Data, being any information revealing racial or ethnic origin, political opinions, religious or similar beliefs, trade union membership, physical or mental health conditions, sexual life or sexual orientation, biometric or genetic data, and Personal Data relating to criminal offences and convictions. Processing or Process Any activity that involves the use of Personal Data, whether manual or electronic, including obtaining, recording or holding the data, organising, amending, transferring, retrieving, using, disclosing, erasing or destroying it. Privacy Notices Separate notices setting out information that may be provided to Data Subjects when the University collects information about them. These notices may apply to a specific group of individuals (for example, employees) or they may cover a specific purpose (such as filming on campus). Pseudonymised Data Data which has been modified to replace information that directly or indirectly identifies an individual with artificial identifiers or pseudonyms so that the person, to whom the data relates, cannot be identified without the use of additional information which is kept separately and secure. Third Party Anyone other than the Data Subject and the Data Controller. INTRODUCTION Protecting the confidentiality and integrity of Personal Data is a critical responsibility that the University of Chichester (the University) takes seriously at all times. We recognise that the correct and lawful treatment of Personal Data will maintain confidence in the University and its operations. This Privacy Standard sets out how the University manages the Personal Data of our students, employees, workers, suppliers and other third parties. This Privacy Standard applies to all Personal Data we Process regardless of how that data is stored or whether the Data Subject has an ongoing, past or future relationship with us. This Privacy Standard applies to all University employees, students and all third-party contractors working on the University’s behalf. You must read, understand and comply with this Privacy Standard when Processing Personal Data on behalf of the University and attend training as appropriate to your role. This Privacy Standard sets out what we expect from you in order for the University to comply with applicable law. Your compliance with this Privacy Standard is mandatory. Any breach of this Privacy Standard may result in disciplinary action. Breach of the applicable data protecti...
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Related to Special Categories of Personal

  • Categories of Personal Data The categories of personal data that we will process in connection with the Plan are the Grantee’s: • name; • date of birth; • job title; • home address (and, if different, mailing address) and postal code; • telephone number; • social insurance, national insurance, US taxpayer and/or foreign tax identification number; • salary; • country of citizenship and nationality; • any Common Stock or directorships held in any of the Relevant TriMas Companies; • details of all awards or any other entitlement to Common Stock awarded, cancelled, exercised, vested, unvested or outstanding in Grantee’s favour; and • reference number (where relevant to link the Grantee’s benefits under the Plan to other documentation issued to or from the US Department of the Treasury Internal Revenue Service). The processing of the personal data set out above is mandatory in order for the Relevant TriMas Companies to provide and administer the Plan.

  • Categories of Evidence Multiple measures of student learning, growth, and achievement, judgments based on observations and artifacts of professional practice, including unannounced observations of practice of any duration; and additional evidence relevant to one or more Standards of Effective Teaching Practice (603 CMR 35.03).

  • CATEGORIES OF EMPLOYEES The following categories of employees may apply for benefits under this policy: Category 1: Employees who have acquired eighty-five KPERS retirement points (a combination of age and KPERS service that adds to 85) and who have completed by June 30 of the retirement year fifteen (15) years of service in USD 434 that could include service given through the employment of the Three Lakes Cooperative. Category 2: Employee who qualifies for retirement under the basic provisions of KPERS. These employees must have attained the age of 62 and have 10 years of vested service in KPERS but have not acquired eighty-five retirement points at the time of retirement and who have completed by June 30 of the retirement year fifteen (15) years of service in USD 434 that could include service given through the employment of the Three Lakes Cooperative.

  • Employee Categories All employees fall into one or the other of four principal categories as outlined below.

  • Categories of Employment 2.3.1 Full-time A full-time employee is an employee who is employed for 37.5 or 40 hours per week. 2.3.2 Part-time A part-time employee is an employee who is regularly employed for less than the full-time hours as specified in clause 2.3.1.