Data and Knowledge Management Clause Samples
The Data and Knowledge Management clause establishes the rules and responsibilities for handling, storing, and sharing data and information generated or used during the course of an agreement. It typically outlines how parties must protect confidential information, maintain accurate records, and ensure that data is accessible to authorized individuals while preventing unauthorized disclosure. This clause is essential for safeguarding sensitive information, ensuring compliance with data protection laws, and promoting efficient collaboration between parties.
Data and Knowledge Management.
4.1 Data Collection and Learning Loop
4.2 Data Management System
Data and Knowledge Management. 8.1. The Parties will share anonymised information that will contribute to the planning and commissioning of services.
8.2. Where necessary and only to improve the experience of service users, the exchange of personal data and information between providers will take place, but only subject to agreements that set standards on information safety and security.
Data and Knowledge Management. Partners will share anonymised information that will contribute to the planning and commissioning of services. • Where necessary and only to improve the experience of service users,, the exchange of personal data and information between providers will take place, but only subject to agreements that set standards on information safety and security.
Data and Knowledge Management. Where necessary and to improve the experience of service users and inform partners, the exchange of data and information between providers will be subject to agreements on safely and security.
Data and Knowledge Management. The terms data, information and knowledge are frequently used for overlapping concepts. Data is the lowest level of abstraction, which is the signal without interpretation and processing we touch by the minute. Information is the next level, which is endowed by meaningful data. And finally, knowledge is the highest level among all three that can always be used to generate new information. For knowledge management, there are three main research areas including knowl- edge retrieval, knowledge representation and knowledge application. This section will introduce a number of prevalent theories and applications related to data and knowledge management and, more specifically, the development of semantic-based technologies.