Data augmentation - Data augmentation is the practice of creating extra training examples by changing existing ones in ways that keep their meaning, such as flipping or...
Data binding - Data binding is a mechanism that connects data values to another representation so that values can be displayed, transferred or updated according to defined...
Data blending - Data blending combines information from separate sources for an analysis or view, using agreed links and compatible levels of detail.
Data catalog - A data catalog is an organized collection of metadata that helps people discover, understand and manage data assets.
Data-centric computing - Data-centric computing is an approach to computer-system design that treats the location, movement and access patterns of data as central concerns.
Data-Centric ML - Data-centric ML is an approach to improving machine-learning systems through systematic work on the data they use.
Data-centric programming language - A data-centric programming language emphasizes describing, querying and transforming collections of data.
Data-centric security - Data-centric security is an approach that organizes protection around the information itself: what it contains, how sensitive it is, who may use it and...
Data cleaning - Data cleaning is the process of identifying and addressing errors, inconsistencies, and other quality problems in data so that the data are more suitable...
Data collaboratives - Data collaboratives are arrangements in which participants from different sectors work together to make data and related expertise useful for a public purpose.
Data collection - Data collection is the planned process of obtaining and recording observations or measurements for a defined purpose.
Data colonialism - Data colonialism is a critical social-theory concept used to examine the appropriation of human life and activity as data for economic power.
Data complexity - Data complexity measures the computational difficulty of a task as the data grows while the query, rule set or other specified logical description is held...
Data compression - Data compression represents information using fewer bits than a chosen original representation, when the data and method permit it.
Data compression ratio - Data compression ratio compares the size of data before and after compression.
Data compression symmetry - Data compression symmetry describes how similar the computational effort is for compressing and decompressing data.
Data conditioning - Data conditioning is the preparation of data so that it can be used appropriately in an analysis or computational workflow.
Data contamination - Data contamination, in model evaluation, occurs when material meant to provide an independent test has entered the model's training or development process...
Data Contract - A data contract is an explicit specification of expectations about data supplied to a consumer.
Data control - Data control is the practical ability to set and enforce conditions on how data is collected, accessed, changed, used, shared and retained.
Data control language - Data control language, usually abbreviated DCL, is a common category name for database commands that manage permissions.
Data corruption - Data corruption is an unintended or unauthorized change to data that damages its correctness, structure, or usability.
Data Definition Language - Data Definition Language, or DDL, is the part of a database language used to define and change database structures.
Data definition specification - A data definition specification is a set of requirements or guidance for describing data consistently and clearly.
Data degradation - Data degradation is deterioration in the integrity or usability of data over time.
Data domain - A data domain, in the database and data-modeling sense, is the set of values considered allowable for a particular kind of data.
Data dredging - Data dredging is searching through many analyses or patterns and presenting selected favorable findings without adequately accounting for the search.
Data drift - Data drift is a change in the statistical distribution of data relative to a reference distribution.
Data-driven model - A data-driven model is a model whose relationships or parameters are learned substantially from observed data.
Data editing - Data editing is the process of checking data for errors, omissions, and inconsistencies and handling identified problems through documented procedures.
Data entry - Data entry is the process of recording information in a computer system so it can be stored, processed, and used.
Data event - A data event is a recorded indication that something relevant has happened in a data-producing or data-processing system.
Data exchange - Data exchange is the transfer of information between systems or organizations in a form the receiving side can interpret and use.
Data exfiltration - Data exfiltration is the unauthorized transfer of information out of a system or controlled environment.
Data exhaust - Data exhaust is the digital information generated as a by-product of using systems, devices or services.
Data exploration - Data exploration is the process of examining a dataset to understand its structure, quality, patterns and limitations before drawing firm conclusions or...
Data extraction - Data extraction is the process of obtaining selected data from a source so it can be used elsewhere or in a later processing step.
Data fabric - A data fabric is an architectural approach for connecting and managing data across different systems through coordinated integration, metadata, governance...
Data farming - Data farming is the purposeful generation of data from simulation models through designed experiments.
Data-flow diagram - A data-flow diagram, or DFD, is a visual model of how information enters a system, moves through processes, reaches data stores and leaves for other people...
Data fusion - Data fusion combines information from multiple sources to form a joint estimate, representation, or assessment.
Data generating process - A data generating process, often abbreviated DGP, is the mechanism or probabilistic specification that produces observations.
Data Generation Bias - Data generation bias is a distortion introduced when synthetic or redundant examples are added to a dataset in ways that misrepresent the intended...
Data governance - Data governance is the system of decision rights, responsibilities, policies, and oversight through which an organization directs how its data is managed...
Data grid - A data grid is a distributed infrastructure that helps manage and access data held across multiple resources or locations.
Data hierarchy - Data hierarchy describes how smaller data components are organized into larger structures.
Data hub - A data hub is a shared point for discovering, accessing, exchanging or integrating data from multiple sources.
Data Imputation - Data imputation replaces missing values with estimates or specified substitutes so that incomplete records can be used in an analysis or machine-learning...