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The Data Reference Model (DRM) is one of the five reference models of the Federal Enterprise Architecture. The DRM is a framework whose primary purpose
Data_Reference_Model
Reference model for network communication
interconnection." In the OSI reference model, the components of a communication system are distinguished in seven abstraction layers: Physical, Data Link, Network,
OSI_model
Creating a model of the data in a system
data model may require multiple logical data models. The last step in data modeling is transforming the logical data model to a physical data model that
Data_modeling
Abstract model
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world
Data_model
Data used to classify or categorize other data
Reference data is data used to classify or categorize other data. Typically, they are static or slowly changing over time. Examples of reference data
Reference_data
Reference enterprise architecture of a federal government
performance reference model, business reference model, service component reference model, data reference model and technical reference model. It is designed
Federal enterprise architecture
Federal_enterprise_architecture
Abstract model used as reference
A reference model—in systems, enterprise, and software engineering—is an abstract framework or domain-specific ontology consisting of an interlinked set
Reference_model
Database modeling method
Datavault or data vault modeling is a database modeling method that is designed to provide long-term historical storage of data coming in from multiple
Data_vault_modeling
Standardised data model for information exchange
common data model (CDM) can refer to any standardised data model which allows for data and information exchange between different applications and data sources
Common_data_model
Conceptual model of bibliographic information
The IFLA Library Reference Model (IFLA LRM) is a conceptual entity–relationship model developed by the International Federation of Library Associations
IFLA_Library_Reference_Model
Systems analysis concept
logical model database tables is sometimes referred to as a HasAndBelongsToMany (HABTM) relationship. Associative entity One-to-one (data model) One-to-many
Many-to-many_(data_model)
Performance Reference Model (PRM) Business Reference Model (BRM) Service Component Reference Model (SRM) Technical Reference Model (TRM) Data Reference Model (DRM)
Business_reference_model
A reference atmospheric model describes how the ideal gas properties (namely: pressure, temperature, density, and molecular weight) of an atmosphere change
Reference_atmospheric_model
Theoretical framework
object-role modeling, and the Unified Modeling Language (UML). Data flow modeling (DFM) is a basic conceptual modeling technique that graphically represents
Conceptual_model
Standard data modeling language for product data
language defined in ISO 10303-11, the EXPRESS Language Reference Manual. An EXPRESS data model can be defined in two ways, textually and graphically.
EXPRESS (data modeling language)
EXPRESS_(data_modeling_language)
Framework for communication protocols used in IP networking
Force (IETF). The Internet protocol suite predates the OSI model, a more comprehensive reference framework for general networking systems. The Internet protocol
Internet_protocol_suite
Reference model for enterprise architecture
Open-system environment (OSE) reference model (RM) or OSE reference model (OSE/RM) is a 1990 reference model for enterprise architecture. It provides a
Open-system environment reference model
Open-system_environment_reference_model
Model or diagram describing interrelated things
of what is to be included within the model set. The conceptual ER model normally defines master reference data entities that are commonly used by the
Entity–relationship_model
Knowledge representation language
The CIDOC Conceptual Reference Model (CRM) provides an extensible ontology for concepts and information in cultural heritage and museum documentation
CIDOC Conceptual Reference Model
CIDOC_Conceptual_Reference_Model
Representation of an organization's data
opposed to a conceptual data model, which describes the semantics of an organization without reference to technology. Logical data models represent the abstract
Logical_schema
Tasks in machine learning
predictions on data. Such algorithms function by making data-driven predictions or decisions, through building a mathematical model from input data. These input
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
Generalization of a conventional data model with standardised general relation types
Generic data models are generalizations of conventional data models. They define standardised general relation types, together with the kinds of things
Generic_data_model
Reference model for enterprise architecture
Physical and Logical Architectures. Purdue Reference Model for CIM including Generic Reference Data Flow Models. Example Logical System Architectures from
Purdue Enterprise Reference Architecture
Purdue_Enterprise_Reference_Architecture
Database model
data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. This database model is
Semantic_data_model
reference model is an example of a reference model for information visualization, developed by Ed Chi in 1999, under the name of the data state model
Information visualization reference model
Information_visualization_reference_model
The Global Justice XML Data Model (GJXDM or Global JXDM) is a data reference model for the exchange of information within the justice and public safety
Global_Justice_XML_Data_Model
Enterprise data modelling or enterprise data modeling (EDM) is the practice of creating a graphical model of the data used by an enterprise or company
Enterprise_data_modelling
Topics referred to by the same term
the acronym by the Defective by Design movement Data Reference Model, one of the five reference models of the Federal Enterprise Architecture Digital Radio
DRM
Database model
The relational model (RM) is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in
Relational_model
The Reference Elevation Model of Antarctica (REMA) is a digital elevation model (DEM) that covers almost the entire continent of Antarctica at a resolution
Reference Elevation Model of Antarctica
Reference_Elevation_Model_of_Antarctica
Design of geospatial data storage
A geographic data model, geospatial geographical measurements, or simply data from modules in the context of geographic information systems (GIS), is a
Data_model_(GIS)
Abstract representation of an organization
Enterprise modelling is the process of building models of whole or part of an enterprise with process models, data models, resource models and/or new
Enterprise_modelling
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions
Data_analysis
Database design tool
Toad Data Modeler is a database design tool allowing users to visually create, maintain, and document new or existing database systems, and to deploy changes
Toad_Data_Modeler
Organized collection of data in computing
considerations, including data modeling, efficient data representation and storage, query languages, security and privacy of sensitive data, and distributed computing
Database
The term Digital Earth Reference Model (DERM) was coined by Tim Foresman in context with a vision for an all encompassing geospatial platform as an abstract
Digital_Earth_Reference_Model
Flight instrument
air data inertial reference unit (ADIRU) is a key component of the integrated air data inertial reference system (ADIRS), which supplies air data (airspeed
Air data inertial reference unit
Air_data_inertial_reference_unit
Markup language which enables the management and distribution of weather data
The Weather Information Exchange Model (WXXM) is designed to enable the management and distribution of weather data in digital format (XML). WXXM version
WXXM_(data_model)
Core architecture data model (CADM) in enterprise architecture is a logical data model of information used to describe and build architectures. The CADM
Core_architecture_data_model
Case of database modeling
Bitemporal modeling is a specific case of temporal database information modeling technique designed to handle historical data along two different timelines
Bitemporal_modeling
Standard for e-learning
Sharable Content Object Reference Model (SCORM) is a collection of standards and specifications for web-based electronic educational technology (also
Sharable Content Object Reference Model
Sharable_Content_Object_Reference_Model
Degradation of AI models trained on synthetic data
degradation of machine learning models from uncurated synthetic data, or from training on the outputs of another model, such as a prior versions of itself
Model_collapse
Flaw in mathematical modelling
therefore fail to fit to additional data or predict future observations reliably. An overfitted model is a mathematical model that contains more parameters
Overfitting
Type of data modeling language
Information Modeling (IDEF1X) is a data modeling language for the development of semantic data models. IDEF1X is used to produce a graphical information model which
IDEF1X
Values that a data element may contain
The data domain for the marital status column is: "M", "S". In a normalized data model, the reference domain is typically specified in a reference table
Data_domain
Type of data model
database model is a type of data model that determines the logical structure of a database. It fundamentally determines in which manner data can be stored
Database_model
Standard for data integration
the present ISO 15926 developers. Having developed a generic data model and reference data library for process plants, it turned out that this subject
ISO_15926
Independent Reference Model (I.R.M.) is a conceptual model used in the analysis of storage system: disk drives, caches, etc. Under this model the references to
Independent_Reference_Model
standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the
Industry_standard_data_model
Communications enerprise frameworks
Information Framework (formally Shared Information/Data Model or SID) is a unified reference data model providing a single set of terms for business objects
Frameworx
Class of statistical survival models
survival data is called application of the Cox proportional hazards model, sometimes abbreviated to Cox model or to proportional hazards model. However
Proportional_hazards_model
Algorithmically generated data that have a similar distribution as sampled data
validate mathematical models and to train machine learning models. Data generated by a computer simulation can be seen as synthetic data. This encompasses
Synthetic_data
Discrete, discontinuous representation of information
data also serves as the main input for data science, where data is collected, processed, analyzed, and modeled using methods from statistics, computer
Digital_data
Cloud computing term regarding readily-available data for consumers
APIs have rendered the platform on which the data resides as irrelevant. Data as a service as a business model is a concept when two or more organizations
Data_as_a_service
Relational database programming language
Codd's relational model. The model was described in his influential 1970 paper, "A Relational Model of Data for Large Shared Data Banks". Despite not
SQL
Arrangement of information or data, typically in rows and columns
information or data, typically in rows and columns, or possibly in a more complex structure. Tables are widely used in communication, research, and data analysis
Table_(format)
SGML, HTML and XML documents, the logical constructs known as character data and attribute values consist of sequences of characters, in which each character
List of XML and HTML character entity references
List_of_XML_and_HTML_character_entity_references
High-level database design model
A conceptual schema or conceptual data model is a high-level description of informational needs underlying the design of a database. It typically includes
Conceptual_schema
Model in software engineering
engineering, a domain model is a conceptual model of the domain that incorporates both behavior and data. In ontology engineering, a domain model is a formal representation
Domain_model
Matrix of values of explanatory variables
contains data on the independent variables (also called explanatory variables), in a statistical model that is intended to explain observed data on a response
Design_matrix
Tree-like structure for data
A hierarchical database model is a data model in which the data is organized into a tree-like structure. The data are stored as records which is a collection
Hierarchical_database_model
The Jacchia Reference Atmosphere is a reference atmospheric model that defines values of atmospheric temperature, density, pressure and composition at
Jacchia_Reference_Atmosphere
The OGC Reference Model describes a framework for the ongoing work of the Open Geospatial Consortium (OGC) and their specifications and implementing interoperable
OGC_Reference_Model
Change of statistical properties over time
analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model. It happens
Concept_drift
Artificial intelligence model paradigm
the "general-purpose AI model", defined as "an AI model, including where such an AI model is trained with a large amount of data using self-supervision
Foundation_model
data unit (media access control service data unit, MSDU) is the service data unit in the IEEE 802 reference model of network architecture. This data unit
MAC_service_data_unit
File format for encoding linked data
Working Group". w3.org. "Linked Data Patterns, Chapter 5: Follow Your Nose". 2023-06-07. Retrieved 2023-06-07. "Data Model". Schema.org. Retrieved 2018-06-20
JSON-LD
Process reference model
The Supply Chain Operations Reference (SCOR) model is a process reference model originally developed and endorsed by the Supply Chain Council, now a part
Supply chain operations reference
Supply_chain_operations_reference
Data warehousing schema
or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. The
Star_schema
Form of causal modeling that fit networks of constructs to data
observed data in terms of a smaller number of 'structural' parameters defined by a hypothesized underlying conceptual or theoretical model". SEM involves
Structural_equation_modeling
System that supports business decisions
into the original pyramid model. Some examples of such systems are: Artificial intelligence system Computing platform Data warehouses Decision support
Information_system
Standard for archival system
OAIS Reference Model for an OAIS. This reference model is defined by recommendation CCSDS 650.0-M-3 of the Consultative Committee for Space Data Systems;
Open Archival Information System
Open_Archival_Information_System
Statistical data type
There are several different models that can be used to describe the structure of ordinal data. Four major classes of model are described below, each defined
Ordinal_data
Process of using data analysis for predicting population data from sample data
(first) selecting a statistical model of the process that generates the data and (second) deducing propositions from the model. Konishi and Kitagawa state
Statistical_inference
reduce the need for performing data model transformation when services exchange messages that reference the same data model. The interaction between services
Canonical_schema_pattern
Process for digital management of built assets
Building information models (BIMs) are computer files (often but not always in proprietary formats and containing proprietary data) which can be extracted
Building_information_modeling
Design pattern used to communicate between different data formats
A canonical model is a design pattern used to communicate between different data formats. Essentially: create a data model which is a superset of all the
Canonical_model
Standard model of the structure of Earth's magnetic field
created by fitting parameters of a mathematical model of the magnetic field to measured magnetic field data from surveys, observatories and satellites across
International Geomagnetic Reference Field
International_Geomagnetic_Reference_Field
Type of mathematical model
statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from a
Statistical_model
Statistical concept
model is a probabilistic model for representing the presence of subpopulations within an overall population, without requiring that an observed data set
Mixture_model
Computer security model
The security model relies on not being able to forge references. Objects can interact only by sending messages on references. A reference can be obtained
Object-capability_model
Query language
Data Mining Extensions (DMX) is a query language for data mining models supported by Microsoft's SQL Server Analysis Services product. Like SQL, it supports
Data_Mining_Extensions
Reference model for military vehicles
The 4D/RCS Reference Model Architecture is a reference model for military unmanned vehicles on how their software components should be identified and
4D-RCS Reference Model Architecture
4D-RCS_Reference_Model_Architecture
by corresponding two- and three-dimensional spatial data and geo-referenced data. 3D city models support presentation, exploration, analysis, and management
3D_city_model
Representation of a data design
A physical data model (or database design) is a representation of a data design as implemented, or intended to be implemented, in a database management
Physical_schema
Type of data model
entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations
Entity–attribute–value_model
European Reference Data Model for Public Transport Information
Transmodel, also known as Reference Data Model For Public Transport (EN 12896), is a European Standard for modelling and exchanging public transport information
Transmodel
Reference library for performance metrics
metrics reference model (MRM) is the reference model created by the Consortium for Advanced Management-International (CAM-I) to be a single reference library
Metrics_Reference_Model
Model of Earth's relief including elevation and depth underwater
global relief model, sometimes also denoted as global topography model or composite model, combines digital elevation model (DEM) data over land with
Global_relief_model
Machine learning technique
(high reward) or bad (low reward) based on ranking data collected from human annotators. This model then serves as a reward function to improve an agent's
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Statistical model
generalized linear models the idea of extending linear mixed models to non-normal data. Generalized linear mixed models provide a broad range of models for the analysis
Generalized linear mixed model
Generalized_linear_mixed_model
Study of collection and analysis of data
collection of data leading to a test of the relationship between two statistical data sets, or a data set and synthetic data drawn from an idealized model. A hypothesis
Statistics
Centralized storage of knowledge
and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing
Data_warehouse
Data organized by tags but not tables
Semi-structured data is a form of structured data that is not rigidly structured. The data model associated with semi-structured data is interpreted when the data is
Semi-structured_data
Subset of artificial intelligence
ultimate model will be. Leo Breiman distinguished two statistical modelling paradigms: the data model and the algorithmic model, wherein "algorithmic model" means
Machine_learning
Origins and events of data
additional elements such as data quality test results, reference data, data models, business terminology, data stewardship information, program management details
Data_lineage
German nonprofit association
on industry requirements. The IDSA reference architecture model, defines the roles and information model for data spaces. The roles include core participants
International Data Spaces Association
International_Data_Spaces_Association
Computer program for working with tabular data
although Numbers changes this model significantly. Cells in a multi-sheet book add the sheet name to their reference, for instance, "Sheet 1!C10". Some
Spreadsheet
Technique for the generative modeling of a continuous probability distribution
model models data as generated by a diffusion process, whereby a new datum performs a random walk with drift through the space of all possible data.
Diffusion_model
Baseball statistics database
variety of data sources. In 2004, Forman founded Sports Reference. Sports Reference is a website that came out of the Baseball Reference website. The
Baseball_Reference
travel, tourism, insurance
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travel, tourism, insurance