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Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept
A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. [1] The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; [2] this may lead to data being well-managed in the present ...
3rd party data – data delivered by data providers, which is available on the market for purchase. [6] There are also three main types of data collected by DMPs: Observed data – the digital footprint of internet users, i.e. search history or type of web browser used. Inferred data – conclusions based on a user's internet behavior.
Data input required intermediate processing via punched paper tape or punched card and separate input to a repetitive, labor-intensive task, removed from user control and error-prone. Invalid or incorrect data needed correction and resubmission with consequences for data and account reconciliation.
Digital transformation (DT) is the process of adoption and implementation of digital technology [1] [2] [3] by an organization in order to create new or modify existing products, services and operations by the means of translating business processes into a digital format.
Enterprise data management (EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content.
The datasphere is a multidisciplinary concept that first appeared in the 1980s. While many terms have been adopted to describe the digital world – terms such as the Internet, cyberspace, metaverse – the various concepts of the datasphere seem to address the growing dependency of human activities on data, as well as approach the digital world in a holistic manner.
Data governance involves the coordination of people, processes, and information technology necessary to ensure consistent and proper management of an organization's data across the business enterprise. It provides all data management practices with the necessary foundation, strategy, and structure needed to ensure that data is managed as an ...
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