Data management comprises all
disciplines related to handling
data
In the pursuit of knowledge, data (; ) is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpret ...
as a valuable resource.
Concept
The concept of data management arose in the 1980s as technology moved from
sequential processing (first
punched cards, then
magnetic tape
Magnetic tape is a medium for magnetic storage made of a thin, magnetizable coating on a long, narrow strip of plastic film. It was developed in Germany in 1928, based on the earlier magnetic wire recording from Denmark. Devices that use magnet ...
) to
random access storage. Since it was now possible to store a discrete fact and quickly access it using random access
disk technology, those suggesting that data management was more important than
business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems." However, during this period, random access processing was not competitively fast, so those suggesting "process management" was more important than "data management" used batch processing time as their primary argument. As
application software
Application may refer to:
Mathematics and computing
* Application software, computer software designed to help the user to perform specific tasks
** Application layer, an abstraction layer that specifies protocols and interface methods used in a ...
evolved into real-time,
interactive
Across the many fields concerned with interactivity, including information science, computer science, human-computer interaction, communication, and industrial design, there is little agreement over the meaning of the term "interactivity", but mo ...
usage, it became obvious that both management processes were important. If the data was not well defined, the data would be mis-used in applications. If the process wasn't well defined, it was impossible to meet user needs.
Topics
Topics in data management include:
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Data governance
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Data asset
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Data governance
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Data trustee
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Data custodian or guardian
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Data steward
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Data subject
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Data ethics
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Data architecture
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Data architecture
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Dataflows
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Data modeling and
design
A design is a plan or specification for the construction of an object or system or for the implementation of an activity or process or the result of that plan or specification in the form of a prototype, product, or process. The verb ''to design' ...
# Database and storage management
#* Data maintenance
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Database administration
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Database management system
In computing, a database is an organized collection of data stored and accessed electronically. Small databases can be stored on a file system, while large databases are hosted on computer clusters or cloud storage. The design of databases ...
#*
Business continuity planning
Business continuity may be defined as "the capability of an organization to continue the delivery of products or services at pre-defined acceptable levels following a disruptive incident", and business continuity planning (or business continuity a ...
#*
Hierarchical storage management
#* Data
subsetting
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Data security
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Data access
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Data erasure
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Data privacy
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Data security
# Reference and master data
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Data integration
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Master data management
Master data management (MDM) is a technology-enabled discipline in which business and information technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared ...
#*
Reference data
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Data Integration and inter-operability
#* Data movement (
ETL,
ELT
ELT may refer to:
Education
* English language teaching
* Expanded learning time, an American education strategy
* Kolb's experiential learning theory
Mathematics and science
* Ending lamination theorem
* Extremely large telescope, a type of ...
)
#* Data interoperability
# Documents and content
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Document management system
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Records management
# Data warehousing and business intelligence and Analytics
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Business intelligence
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis and management of business information. Common functions of business intelligence technologies include reporting, online analytical ...
#*
Data analysis
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, enc ...
and
data mining
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Data warehouse and
data mart
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Data analytics
# Metadata
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Metadata management
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Metadata
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Metadata discovery
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Metadata publishing
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Metadata registry
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Data quality
Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for tsintended uses in operations, decision making and ...
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Data discovery
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Data cleansing
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Data integrity
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Data enrichment
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Data quality assurance
Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for tsintended uses in operations, decision making and ...
#*
Secondary data
Usage
In modern
management usage, the term ''data'' is increasingly replaced by ''
information
Information is an abstract concept that refers to that which has the power to inform. At the most fundamental level information pertains to the interpretation of that which may be sensed. Any natural process that is not completely random, ...
'' or even ''
knowledge
Knowledge can be defined as awareness of facts or as practical skills, and may also refer to familiarity with objects or situations. Knowledge of facts, also called propositional knowledge, is often defined as true belief that is distin ...
'' in a non-technical context. Thus data management has become
information management or
knowledge management
Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization. It refers to a multidisciplinary approach to achieve organisational objectives by making ...
. This trend obscures the
raw data processing and renders interpretation implicit. The distinction between data and derived value is illustrated by the information ladder.
However, data has staged a comeback with the popularisation of the term
big data
Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe Big data is the one associated with large body of information that we could not comprehend when used only in smaller am ...
, which refers to the collection and analyses of massive sets of data.
Several organisations have established data management centers (DMC) for their operations.
See also
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Open data
Open data is data that is openly accessible, exploitable, editable and shared by anyone for any purpose. Open data is licensed under an open license.
The goals of the open data movement are similar to those of other "open(-source)" movements ...
*
FAIR data
FAIR data are data which meet principles of findability, accessibility, interoperability, and reusability (FAIR). The acronym and principles were defined in a March 2016 paper in the journal '' Scientific Data'' by a consortium of scientists ...
*
Pseudonymization Pseudonymization is a data management and de-identification procedure by which personally identifiable information fields within a data record are replaced by one or more artificial identifiers, or pseudonyms. A single pseudonym for each replace ...
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Information architecture
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Enterprise architecture
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Information design
Information design is the practice of presenting information in a way that fosters an efficient and effective understanding of the information. The term has come to be used for a specific area of graphic design related to displaying information ...
*
Information system
An information system (IS) is a formal, sociotechnical, organizational system designed to collect, process, store, and distribute information. From a sociotechnical perspective, information systems are composed by four components: task, people ...
*
Controlled vocabulary
Control may refer to:
Basic meanings Economics and business
* Control (management), an element of management
* Control, an element of management accounting
* Comptroller (or controller), a senior financial officer in an organization
* Control ...
*
Data curation
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Data retention
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Data Management Association
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Data management plan
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Data mesh, a domain-oriented data architecture
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Computer data storage
Computer data storage is a technology consisting of computer components and recording media that are used to retain digital data. It is a core function and fundamental component of computers.
The central processing unit (CPU) of a comput ...
*
Data proliferation
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Digital preservation
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Document management
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Enterprise content management
Enterprise content management (ECM) extends the concept of content management by adding a timeline for each content item and, possibly, enforcing processes for its creation, approval and distribution. Systems using ECM generally provide a secure ...
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Hierarchical storage management
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Information repository
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Machine-readable documents
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Performance report
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System integration
System integration is defined in engineering as the process of bringing together the component sub- systems into one system (an aggregation of subsystems cooperating so that the system is able to deliver the overarching functionality) and ensurin ...
*
Customer data integration
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Identity management
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Identity theft
Identity theft occurs when someone uses another person's personal identifying information, like their name, identifying number, or credit card number, without their permission, to commit fraud or other crimes. The term ''identity theft'' was c ...
*
Data theft
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ERP software
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CRM software
Customer relationship management (CRM) is a process in which a business or other organization administers its interactions with customers, typically using data analysis to study large amounts of information.
CRM systems compile data from a ra ...
References
External links
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