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Practice for controlling corporate data
Master data management (MDM) is a discipline in which business and information technology collaborate to ensure the uniformity, accuracy, stewardship
Master_data_management
Unit of information
governance Data integrity Data maintenance Data management Data mining Data modeling Data point Data preservation Data protection Data publication Data remanence
Data
Facility used to house computer servers
A data center is a physical room, building, or facility for the purpose of the storage, management, and dissemination of data and information, including
Data_center
Data classification is the process of organizing data into categories based on attributes like file type, content, or metadata. The data is then assigned
Data classification (data management)
Data_classification_(data_management)
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions
Data_analysis
Non-transactional data about business entities
data is concerned with classification and categorisation, while master data is concerned with business entities. Master data is, by its nature, almost
Master_data
Creating a model of the data in a system
(1992). Data Analysis, Data Modeling, and Classification. M. Papazoglou, Stefano Spaccapietra, Zahir Tari (2000). Advances in Object-oriented Data Modeling
Data_modeling
Organized collection of data in computing
database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts
Database
Data used to classify or categorize other data
for business transactions, reference data is concerned with classification and categorisation, while master data is concerned with business entities.
Reference_data
Topics referred to by the same term
Data classification may refer to: Data classification (data management) Data classification (business intelligence) Classification (machine learning),
Data_classification
State of qualitative or quantitative pieces of information
data quality including principles, vocabulary and measurement data governance data quality management data quality assessment quality of master data,
Data_quality
Data analysis technique
view of all data, for uses such as master data management, where key data is needed, or data governance for improving data quality. Data profiling refers
Data_profiling
Collection and manipulation of items of data to produce meaningful information
and presentation of data." Reporting – list detail or summary data or computed information. Classification – separation of data into various categories
Data_processing
Abstract model
integrity aspects of the data stored in data management systems such as relational databases. They may also describe data with a looser structure, such as word
Data_model
Data analysis approach
the data, rather than through traditional data management systems. These characteristics can include size or amount of data, completeness of the data, correctness
Data_exploration
Process of securing digital information
Data security or data protection is the process of securing digital information to protect it from online threats. Data security or protection means protecting
Data_security
Field of study to extract knowledge from data
the International Federation of Classification Societies became the first conference to specifically feature data science as a topic. However, the definition
Data_science
Grouping a set of objects by similarity
use of the results: while in data mining, the resulting groups are the matter of interest, in automatic classification the resulting discriminative power
Cluster_analysis
Data breach protection
have traditionally relied upon a variety of classification and enforcement mechanisms to reduce the risk of data loss but increasingly incorporate machine
Data_loss_prevention_software
Process of analyzing large data sets
Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness
Data_mining
Data about other data
strategic guidance to management. Metadata is an important tool in how data is stored in data warehouses. The purpose of a data warehouse is to house
Metadata
Data missing or collected but not analysed
adequate data management. Without this, the data become dark, and further reasons for this are e.g. missing metadata annotation, missing data management plans
Dark_data
Information without a formal data model
Information Management Architecture (UIMA) standard provided a common framework for processing this information to extract meaning and create structured data about
Unstructured_data
Algorithmically generated data that have a similar distribution as sampled data
Synthetic data are artificially generated data not produced by real-world events. Typically created using algorithms, synthetic data can be deployed to
Synthetic_data
Gathering information for analysis
individual data items Individual staff or site performance problems Shadow effect Controlled experiment Data acquisition Data curation Data management Observational
Data_collection
Data combined from several measurements
data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data. Aggregate data refers
Aggregate_data
Integration of multiple data sources to provide better information
user refinement, and mission management. Despite these shortcomings, the JDL/DFIG models are useful for visualizing the data fusion process, facilitating
Data_fusion
Class of computational model
non-behavioural modelling, such as pattern recognition and automatic classification. Data-driven models encompass a wide range of techniques and methodologies
Data-driven_model
Data processing technique to eliminate duplicate copies of repeating data
In computing, data deduplication is a technique for eliminating duplicate copies of repeating data. Successful implementation of the technique can improve
Data_deduplication
Visual representation of data
test, regression, PCA, etc.), data mining (association mining, etc.), and machine learning methods (clustering, classification, decision trees, etc.). Among
Data and information visualization
Data_and_information_visualization
Organisational activity concerning information lifecycle
it then gains more value. Information management is closely related to, and overlaps with, the management of data, systems, technology, processes and –
Information_management
WarpPLS XLfit Software for Data visualization: Amira AnyChart Apache Superset Avizo Baudline BisQue (Bioimage Analysis and Management Platform) Calligra Sheets
List_of_data_science_software
Concept in data security
values. Sensitive data and token values must be securely kept in an encrypted format. Management of cryptographic keys. Strong key management procedures are
Tokenization_(data_security)
Database model
new kind of database management system. A semantic data model in software engineering has various meanings: It is a conceptual data model in which semantic
Semantic_data_model
Data management system used in clinical research
clinical data management system (CDMS) is a tool used in clinical research to manage the data of a clinical trial. The clinical trial data gathered at
Clinical data management system
Clinical_data_management_system
Technical document summarizing components
created, stored, and distributed via product information management or product data management systems. Depending on the specific purpose, a datasheet
Datasheet
Economic Literature classification codes under JEL: C8 – Data Collection and Data Estimation Methodology and JEL: E01 – Measurement and Data on National Income
Economic_data
Type of database that uses vectors to represent other data
vector search engine is a database that stores and retrieves embeddings of data in vector space. Vector databases typically implement approximate nearest
Vector_database
input fields, data validations, and navigation links among the forms. DCSs can be considered a specialized form of content management system (CMS), particularly
Data_collection_system
International standard diagnostic tool
International Classification of Diseases (ICD) is the globally authoritative medical classification and terminology used in epidemiology, health management, clinical
International Classification of Diseases
International_Classification_of_Diseases
Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification
Oracle_Data_Mining
Data storage technologies that use magnetic tape
primary classification criterion for tape technologies. One-half-inch (13 mm) has historically been the most common width of tape for high-capacity data storage
Magnetic-tape_data_storage
Software platform
information management (PIM), master data management (MDM), customer data platform (CDP), digital asset management (DAM), content management (CMS), and
Pimcore
API management platform
response data, redact information and map response data from external APIs to the response of the API. An environment consists of a management server (with
IBM_API_Management
Network that allows computers to share resources and communicate with each other
economy management network project. During the 1960s, Paul Baran and Donald Davies independently invented the concept of packet switching for data communication
Computer_network
LOC also maintains five types of data elements in the LEDES data exchange standards: Uniform Task-Based Management System codes, which classify the work
Legal Electronic Data Exchange Standard
Legal_Electronic_Data_Exchange_Standard
Set of methods for supervised statistical learning
max-margin model with associated learning algorithms that analyze data for classification and regression analysis. Developed at AT&T Bell Laboratories, SVMs
Support_vector_machine
Systems to give users appropriate access
under the overarching umbrellas of IT security and data management. Identity and access management systems not only identify, authenticate, and control
Identity and access management
Identity_and_access_management
Machine learning algorithm
supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a
Decision_tree_learning
Type of data available for anyone to analyze
disciplines primarily affected by data management issues to "computational social science, digital humanities, social media data, citizen science research projects
Open_scientific_data
Computer device used to communicate with a dispatcher, often installed in a fleet vehicle
A related device classification, specific to the transportation industry, is called automatic vehicle location (AVL). Mobile data terminals are often
Mobile_data_terminal
Interdisciplinary field of study
mining and big data management are used to analyze, filter, and normalize the data set that are further used for making Classifications, Predictions, and
Astroinformatics
Combining of sensor data from disparate sources
channels of sensor data (such as hyperspectral imaging with hundreds of bands ) and fuse relevant information to produce classification results. Brooks –
Sensor_fusion
Real-world applications of data mining
productivity of wine production industries. Data science techniques, such as k-means clustering, and classification techniques based on biclustering, have
Examples_of_data_mining
Technology to correct measurements in industrial processes
Industrial process data validation and reconciliation, or more briefly, process data reconciliation (PDR), is a technology that uses process information
Data validation and reconciliation
Data_validation_and_reconciliation
Sheet listing work-related hazards of a product or substance
Globally Harmonized System of Classification and Labelling of Chemicals contains a standard specification for safety data sheets. The SDS follows a 16
Safety_data_sheet
Type of two-dimensional barcode
image and greater data-storage capacity in applications such as product tracking, item identification, time tracking, document management, and general marketing
QR_code
of Airport Management. 5 (4): 335–339. doi:10.69554/RFZC4321. Loh, Wei-Yin, and Yu-Shan Shih. "Split selection methods for classification trees." Statistica
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Type of data modeling language
IDEF1X permits the construction of semantic data models which may serve to support the management of data as a resource, the integration of information
IDEF1X
United Nations industry classification system
International Standard Industrial Classification of All Economic Activities (ISIC) is a United Nations industry classification system. Wide use has been made
International Standard Industrial Classification
International_Standard_Industrial_Classification
Non-parametric classification method
closest training examples in a data set. The neighbors are taken from a set of objects for which the class (for k-NN classification) or the object property value
K-nearest_neighbors_algorithm
Process of managing interactions with customers
relationship management (CRM) is a strategic process that organizations use to manage, analyze, and improve their interactions with customers. By using data-driven
Customer relationship management
Customer_relationship_management
Network device that permits data flow in only one direction
certificate management, data integrity, forward error correction (FEC), secure communication via TLS, among others. A unique characteristic is that data is transferred
Unidirectional_network
Change of statistical properties over time
predictive 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
Analysis of large datasets to understand living systems
directly from raw pixel data. This overlap between data science and deep learning is applied across several key tasks: Classification: Identifying the presence
Biomedical_data_science
Data analysis techniques for fraud detection
analysis of time-dependent data. Clustering and classification to find patterns and associations among groups of data. Data matching Data matching is used to
Data analysis for fraud detection
Data_analysis_for_fraud_detection
Data breach of health information
measures such as data classification, important data backup, and encryption authentication to guarantee the security of health care big data." However, the
Medical_data_breach
Indian judicial database
reports and not for case management primarily. However, it indeed uses the Case Information System for displaying the case data in the dashboard. NJDG is
National_Judicial_Data_Grid
Database class for storage and retrieval of modeled data
subcategories, some of which overlap. What follows is a non-exhaustive classification by data model, with examples: Key–value (KV) stores use the associative
NoSQL
Business intelligence software
brand name for several data management software products that make up the Pentaho+ Data Platform. These include Pentaho Data Integration, Pentaho Business
Pentaho
Proprietary database management system
most popular database management system in the DB-Engines ranking. It is commonly used for online transaction processing (OLTP), data warehousing (DW), and
Oracle_Database
Discovery, interpretation, and communication of meaningful patterns in data
management, finance, online systems, information security, and software services. Since analytics can require extensive computation (see big data),
Analytics
Managing metadata about content data in digital media
Metadata management involves managing metadata about other data, whereby this "other data" is generally referred to as content data. The term is used most
Metadata_management
Organised collection of documents
content management systems. It is often viewed as a component of enterprise content management (ECM) and is related to product data management (PDM) systems
Document_management_system
Research field
educational settings. Quite often, this data is extensive, fine-grained, and precise. For example, several learning management systems (LMSs) track information
Educational_data_mining
Use of schemes of standardized codes
flu, and athlete's foot. Procedure classifications list procedure codes, which are used to capture interventional data. These diagnosis and procedure codes
Medical_classification
Implementation of information technology management
documents related to organizational processes. IIM refers to the management of content AND data, not just content itself." The latest definition encompasses
Enterprise_content_management
U.S. Department of Energy security clearance level
addition to classification levels, three categories of classified matter are identified: Restricted Data (RD), Formerly Restricted Data (FRD), and National
Q_clearance
Information management applied to health and health care
use of quality data to support the information-intensive and information-reliant healthcare system". Health information management's standards history
Health_information_management
Subset of artificial intelligence
represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision-making
Machine_learning
subcategories of data diplomacy: data in diplomacy, diplomacy for data, and data for diplomacy. These three classifications of data diplomacy are overlapping
Data_diplomacy
Materials management term
items and focus management resources on higher value stock. Other benefits of implementing ABC classifications within warehouse management systems involve
ABC_analysis
Classification standard for products and services
ECLASS (formerly styled as eCl@ss) is a data standard for the classification of products and services using standardized ISO-compliant properties. The
ECLASS
Structural design of shared information
knowledge Data management – Disciplines of managing data as a resource Data presentation architecture – Visual representation of dataPages displaying
Information_architecture
Computational approaches to health care
science to data management in hospitals where it aims to develop methods and technologies for the acquisition, processing, and study of patient data, An umbrella
Health_informatics
Field of research
expenditures [to be] based on historical data structured by systemic racism and perpetuating that bias in access to care management” In many trained machine learning
Critical_data_studies
Protecting information by mitigating risk
information risk management. It typically involves preventing or reducing the probability of unauthorized or inappropriate access to data or the unlawful
Information_security
Computer-based technologies
IT system. IT systems play a vital role in facilitating efficient data management, enhancing communication networks , and supporting organizational processes
Information_technology
Study of collection and analysis of data
Bootstrap / jackknife resampling Multivariate statistics Statistical classification Structured data analysis Structural equation modelling Survey methodology Survival
Statistics
In information management, a system to identify items
contrasted with a classification scheme. Classification schemes are used to classify individual records into categories. Many records in a data set may be in
Identification_scheme
Process of analysing text to extract information from it
Den Poel, Dirk (2008). "Improving customer complaint management by automatic email classification using linguistic style features as predictors". Decision
Text_mining
Software designed to support and optimize warehouse and distribution center management
approximate classification system based on 3 levels of complexity: A basic WMS supports inventory management and location control. The performance data that
Warehouse_management_system
Standard for classifying business establishments
Statistics Canada, and the United States Office of Management and Budget (OMB), through its Economic Classification Policy Committee (ECPC), staffed by the Bureau
North American Industry Classification System
North_American_Industry_Classification_System
Classification system for nursing data
Minimum Data Set (NMDS) is a classification system which allows for the standardized collection of essential nursing data. The collected data are meant
Nursing_Minimum_Data_Set
International standard managed by the United Nations
that "A globally harmonized hazard classification and compatible labelling system, including material safety data sheets and easily understandable symbols
Globally Harmonized System of Classification and Labelling of Chemicals
Globally_Harmonized_System_of_Classification_and_Labelling_of_Chemicals
US-based software and services company
platforms where customers retain the rights, although examples of data management failures have been noted. Palantir was founded in 2003. Thiel named
Palantir
Form of modelling that uses statistics to predict outcomes
modelling is used extensively in analytical customer relationship management and data mining to produce customer-level models that describe the likelihood
Predictive_modelling
United States government system
systems for industries used with SOC data, most commonly NAICS. Other countries have national occupational classification systems and the International Labour
Standard Occupational Classification System
Standard_Occupational_Classification_System
Process of using data analysis for predicting population data from sample data
95% of posterior belief; rejection of a hypothesis; clustering or classification of data points into groups. Any statistical inference requires some assumptions
Statistical_inference
Database management system by SAP
database management system developed and marketed by SAP SE. Its primary function as the software running a database server is to store and retrieve data as
SAP_HANA
DATA CLASSIFICATION-DATA-MANAGEMENT
DATA CLASSIFICATION-DATA-MANAGEMENT
Female
English
 English surname transferred to unisex forename use, possibly DANA means "from Denmark." Compare with other forms of Dana.
Female
Slavic
 Short form of Slavic Bogdana, DANA means "gift from God." Compare with other forms of Dana.
Female
Hindi/Indian
(लता) Hindi name derived from a plant name, from the Sanskrit word lata, LATA means "creeper," in reference to a creeping plant.
Female
Finnish
Variant form of Finnish Aada, AATA means "noble."
Female
English
 Middle English name DARA means "brave, daring." Compare with another form of Dara.
Male
Hebrew
Variant spelling of Hebrew Dathan, DATAN means "belonging to a fountain."
Female
Polish
 Variant spelling of Polish Dyta, DITA means "rich battle." Compare with another form of Dita.
Girl/Female
Hindu
A creeper
Female
Polish
Short form of Polish Edyta, DYTA means "rich battle."
Male
Iranian/Persian
 Short form of Persian Dârayavahush, DARA means "possesses a lot, wealthy." Compare with other forms of Dara.
Male
English
English surname transferred to unisex forename use, possibly DANA means "from Denmark."
Female
Hungarian
 Short form of Hungarian Katalin, KATA means "pure." Compare with other forms of Kata.
Male
Irish
Irish Gaelic name MAC DARA means "son of oak." This is the name of a patron saint and is still common in Ireland, especially in Connemara.
Female
Russian
 Short form of Russian Yekaterina, KATA means "pure." Compare with other forms of Kata.
Male
Irish
 From Irish Gaelic Mac Dara, DARA means "son of oak." Compare with other forms of Dara.
Male
Hebrew
(דֶּרַע) Hebrew name DARA means "the arm." In the bible, this is the name of a son of Zerah. Compare with other forms of Dara.
Female
Finnish
 Short form of Finnish Katariina, KATA means "pure." Compare with other forms of Kata.
Male
Turkish
Turkish name ATA means "ancestor."
Female
Hebrew
(×“Ö¼Ö¸× Ö¸×”) Feminine form of Hebrew Dan, DANA means "judge." Compare with other forms of Dana.
Female
Hebrew
(דִּיתָה) Pet form of Hebrew Yehuwdiyth, DITA means "Jewess" or "praised." Compare with another form of Dita.
DATA CLASSIFICATION-DATA-MANAGEMENT
DATA CLASSIFICATION-DATA-MANAGEMENT
Boy/Male
Indian
Brilliant
Boy/Male
Hindu, Indian
Will of Getting Something
Boy/Male
Muslim/Islamic
Slave of the Originator
Male
German
 German form of Latin Valentinus, VALENTIN means "healthy, strong." Compare with other forms of Valentin.
Girl/Female
American, British, Christian, Danish, English, Swedish
Combination of Luise and Anne; Enjoyment
Girl/Female
Arabic
Modesty
Boy/Male
Arabic, Indian, Muslim, Parsi
Hope
Girl/Female
Hindu, Indian
The Inspiring
Girl/Female
English American Latin
The laurel tree or sweet bay tree symbolic of honor and victory. Old name with many variants.
Boy/Male
Hindu
A priest
DATA CLASSIFICATION-DATA-MANAGEMENT
DATA CLASSIFICATION-DATA-MANAGEMENT
DATA CLASSIFICATION-DATA-MANAGEMENT
DATA CLASSIFICATION-DATA-MANAGEMENT
DATA CLASSIFICATION-DATA-MANAGEMENT
v. t.
To note the time of writing or executing; to express in an instrument the time of its execution; as, to date a letter, a bond, a deed, or a charter.
v. t.
To date erroneously.
n.
A New Zealand forest tree (Metrosideros robusta), also, its hard dark red wood, used by the Maoris for paddles and war clubs.
a.
Erroneous in date; containing an anachronism.
n.
Assigned end; conclusion.
n.
That addition to a writing, inscription, coin, etc., which specifies the time (as day, month, and year) when the writing or inscription was given, or executed, or made; as, the date of a letter, of a will, of a deed, of a coin. etc.
n.
Prior date; a date antecedent to another which is the actual date.
v. t.
To note or fix the time of, as of an event; to give the date of; as, to date the building of the pyramids.
a.
Without date; having no fixed time.
n.
The fruit of the date palm; also, the date palm itself.
imp. & p. p.
of Date
a.
Being out of date; antiquated.
n.
The point of time at which a transaction or event takes place, or is appointed to take place; a given point of time; epoch; as, the date of a battle.
n.
Given or assigned length of life; dyration.
pl.
of Datum
n.
The act or process of making clear or transparent, by freeing visible impurities; as, the clarification of wine.
v. i.
To have beginning; to begin; to be dated or reckoned; -- with from.
p. pr. & vb. n.
of Date
n. pl.
See Datum.