DAMA-DMBOK

Data Management is the development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles.

Data Management is the development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles. Data as a vital asset. Organizations increasingly recognize data as a vital enterprise asset, crucial for gaining insights into customers, products, and services. Effective data management is not accidental; it requires intention, planning, coordination, and commitment. It's about actively managing data as an asset to derive ongoing value, similar to how financial and physical assets are managed. Wide-ranging activities. Data management activities are wide-ranging, from strategic decision-making about data value to the technical deployment and performance of databases. This requires a blend of technical and non-technical skills, with shared responsibility between business and IT roles. Collaboration is key to ensuring high-quality data that meets strategic needs. DAMA's role. To support data management professionals, DAMA International provides resources like the DAMA Guide to the Data Management Body of Knowledge (DMBOK2). This guide builds upon foundational knowledge, addressing advancements in the profession and offering a framework for managing data effectively. It emphasizes the importance of data management principles and the DAMA Data Management Framework.

An ethical approach to data use is increasingly being recognized as a competitive business advantage. Ethical principles. Data handling ethics are concerned with how to procure, store, manage, use, and dispose of data in ways that align with ethical principles such as fairness, respect, responsibility, integrity, quality, reliability, transparency, and trust. Ethical data handling is not only a legal requirement but also a matter of social responsibility. It's necessary for the long-term success of any organization that wants to get value from its data. Core concepts. The ethics of data handling center on the impact on people, the potential for misuse, and the economic value of data. Organizations must recognize their ethical obligation to protect data entrusted to them, fostering a culture that values the ethical handling of information. This includes managing data quality to reduce the risk of misrepresentation, misuse, or misunderstanding. Competitive advantage. An ethical approach to data use is increasingly being recognized as a competitive business advantage, enhancing trustworthiness and improving relationships with stakeholders. Reducing the risk of data misuse and securing data from criminals are primary reasons for cultivating ethical principles. The emerging roles of Chief Data Officer, Chief Risk Officer, and Chief Privacy Officer are focused on controlling risk by establishing acceptable data handling practices.