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        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Big data</title>
        <link>https://datamanagement.wiki/data_management/big_data?rev=1709904782&amp;do=diff</link>
        <description>Big data

Definition

Big data is data that contains greater variety, arriving in increasing volumes and with more velocity.

DMBoK2

Big Data is the collection (generated and stored) of increasing volume of varied data from many different types and sources of data.</description>
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        <title>Big data and data science</title>
        <link>https://datamanagement.wiki/data_management/big_data_and_data_science?rev=1709904783&amp;do=diff</link>
        <description>Big data and data science

Definition

See

	*  Big data
	*  Data science

DMBoK2

Big Data and Data Science is the collection (Big Data) and analysis (Data Science, Ana-lytics and Visualization) of many different types of data to find answers and insights for questions that are not known at the start of analysis.</description>
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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Business intelligence</title>
        <link>https://datamanagement.wiki/data_management/business_intelligence?rev=1709904783&amp;do=diff</link>
        <description>Business intelligence

DMBoK2

Business Intelligence has two meanings:

	*  A type of data analysis aimed at understanding organizational activities and oppor-tunities. Results of such analysis are used to improve organizational success.
	*  A set of technologies that support this kind of data analysis. An evolution of deci-sions support tools, BI tools enable querying, data mining, statistical analysis, re-porting, scenario modeling, data visualization, and dashboarding.</description>
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        <dc:date>2026-02-20T13:14:44+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Business object</title>
        <link>https://datamanagement.wiki/data_management/business_object?rev=1771593284&amp;do=diff</link>
        <description>Business object

Definition

A business object is an object that represents a business entity about which data is recorded and managed.

Relations
Business object is child ofobjectBusiness object is parent ofcritical business object
all</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/change_management?rev=1709904782&amp;do=diff">
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        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Change management</title>
        <link>https://datamanagement.wiki/data_management/change_management?rev=1709904782&amp;do=diff</link>
        <description>Change management

Definition

Change management is management with regard to change.

Notes

Change management is an approach to prepare, support, and help individuals, teams, and organizations in making organizational change. It includes methods that redirect or redefine the use of resources, business process, budget allocations, or other modes of operation that significantly change a company or organization.</description>
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        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Content management</title>
        <link>https://datamanagement.wiki/data_management/content_management?rev=1709904783&amp;do=diff</link>
        <description>Content management

Definition

Content management is management with regard to content.

DMBoK2

Content Management includes the processes, techniques, and technologies for organiz-ing, categorizing, and structuring information resources (content) so that they can be stored, published, and reused in multiple ways.</description>
    </item>
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        <dc:date>2024-07-05T19:48:06+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Context analysis</title>
        <link>https://datamanagement.wiki/data_management/context_analysis?rev=1720208886&amp;do=diff</link>
        <description>Context analysis

Definition

Context analysis is the analysis of context of a specific domain.

Purpose

Purpose of a context analysis is to derive actions to improve the management system.

Life cycle

	*  Compose context analysis
	*  Review context analysis
	*  Establish context analysis</description>
    </item>
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        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data-driven</title>
        <link>https://datamanagement.wiki/data_management/data-driven?rev=1709904783&amp;do=diff</link>
        <description>Data-driven

Definitie

Data-driven is driven by data.

Note

	*  A data-driven approach is an approach in which decisions, insights,and actions are based on data.
	*  A data-driven organisation is an organisation in which decisions, insights,and actions are based on data.</description>
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        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data asset</title>
        <link>https://datamanagement.wiki/data_management/data_asset?rev=1709904782&amp;do=diff</link>
        <description>Data asset

Definition

A data asset is an asset with regard to data.

Relation
Data assetis child ofasset
Lifecycle

	*  Monitize data assets
	*  Value data assets (data asset valuation)

See also the life cycle of data.

all</description>
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        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data asset valuation</title>
        <link>https://datamanagement.wiki/data_management/data_asset_valuation?rev=1709904782&amp;do=diff</link>
        <description>Data asset valuation

Definition

Data asset valuation is the valuation with regards to data assets.

Relation
Data asset valuationis child ofvaluation
Reference

Singh, Kaushlendra (2023). LinkedIn. Post

all</description>
    </item>
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        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data design</title>
        <link>https://datamanagement.wiki/data_management/data_design?rev=1709904782&amp;do=diff</link>
        <description>Data design

DMBoK2

The modeling process itself designs how data fits together.

Relation
Data designis part of the lifecycle ofdata
all dmbok2</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_fluency?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data fluency</title>
        <link>https://datamanagement.wiki/data_management/data_fluency?rev=1709904783&amp;do=diff</link>
        <description>Data fluency

Data fluency is fluency with regards to data.

Relations
Data fluencyis child offluencyData fluencyis preceded bydata literacyData fluencyis a characteristic of adata user
Reference

Askham, Nicola (2023). www.linkedin.com. (n.d.). Retrieved June 14, 2023 from Post and video about data fluency and data literacy

all</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_handling_ethics?rev=1752326642&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-07-12T13:24:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data handling ethics</title>
        <link>https://datamanagement.wiki/data_management/data_handling_ethics?rev=1752326642&amp;do=diff</link>
        <description>Data handling ethics

Definition

Data handling ethics is management (handling) of data in a way that is aligned with ethical principles.

DMBOK2

Data handling ethics are concerned with how to procure, store, manage, interpret, analyze / apply and dispose of data in ways that are aligned with ethical principles, including community responsibility.</description>
    </item>
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        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data integration</title>
        <link>https://datamanagement.wiki/data_management/data_integration?rev=1709904783&amp;do=diff</link>
        <description>Data integration

Definition

Data integration is the process of exchanging data between organizations, applications, or data stores.

DMBBoK2

Data integration is the process of dataflow between organizations, applications but usually between data stores. Integration consolidates data into consistent forms, either physical or virtual.</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data integration and interoperability</title>
        <link>https://datamanagement.wiki/data_management/data_integration_and_interoperability?rev=1709904783&amp;do=diff</link>
        <description>Data integration and interoperability

See

	*  Data integration
	*  Data interoperability

DMBoK2

Data integration and interoperability (DII) is managing the movement and consolidation of data within and between data stores, applications and organizations. 

all dmbok2</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_interoperability?rev=1709904782&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data interoperability</title>
        <link>https://datamanagement.wiki/data_management/data_interoperability?rev=1709904782&amp;do=diff</link>
        <description>Data interoperability

Definition

Data interoperability is the degree to which systems are able to exchange data.

DMBoK2

Data interoperability is the ability for multiple systems to communicate and unite data with each other without the need for complicated interfacing.</description>
    </item>
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        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data lake</title>
        <link>https://datamanagement.wiki/data_management/data_lake?rev=1709904783&amp;do=diff</link>
        <description>Data lake

Definition

A data lake is a large, centralised data storage area for all types of data, in its original format. 

Note

A data lake makes it easy to explore and analyse data, even if it is unstructured.

Relation
Data lakeis child ofdata storageData lakehas subset</description>
    </item>
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        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data landscape</title>
        <link>https://datamanagement.wiki/data_management/data_landscape?rev=1709904782&amp;do=diff</link>
        <description>Data landscape

Definition

Data landscape is a comprehensive view of all data assets and their interactions within an organization. 

Note

Data landscape encompasses the various data sources, data repositories, data flows, data processing, and data usages across the enterprise. The data landscape provides a holistic perspective on how data is collected, stored, processed, and utilized to support business operations, decision-making, and strategic objectives.
A well-managed data landscape is cr…</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_literacy?rev=1709904782&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data literacy</title>
        <link>https://datamanagement.wiki/data_management/data_literacy?rev=1709904782&amp;do=diff</link>
        <description>Data literacy

Data literacy is literacy with regards to data.

Relation
Data literacyis child ofliteracyData literacyprecedesdata fluencyData literacyis a characteristic of adata user
Reference

Askham, Nicola (2023). www.linkedin.com. (n.d.). Retrieved June 14, 2023 from Post and video about data fluency and data literacy

all</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_management_maturity_assessment?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data management maturity assessment</title>
        <link>https://datamanagement.wiki/data_management/data_management_maturity_assessment?rev=1709904783&amp;do=diff</link>
        <description>Data management maturity assessment

Definition

A data management maturity assessment is a maturity assessment with regard to data management.

DMBoK2

DMMA is a method for ranking practices for handling data within an organization to characterize the current state of data management and its impact on the organization.</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_management_organization?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data management organization</title>
        <link>https://datamanagement.wiki/data_management/data_management_organization?rev=1709904783&amp;do=diff</link>
        <description>Data management organization

DMBoK2

Data Management Organization is a set of principles that should be considered when putting together a data management or data governance organization.

all dmbok2</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_management_system?rev=1711298357&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-24T16:39:17+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data management system</title>
        <link>https://datamanagement.wiki/data_management/data_management_system?rev=1711298357&amp;do=diff</link>
        <description>Data management system

Definition

A data management system is a management system with regard to data.

Abbreviation

DMS

Relations
Data management system is child ofmanagement systemData management system is parent ofdata value management systemData management system is parent ofdata quality management systemData management system is parent of</description>
    </item>
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        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data mart</title>
        <link>https://datamanagement.wiki/data_management/data_mart?rev=1709904783&amp;do=diff</link>
        <description>Data mart

Definition

A data mart is a subset of data from a data lake or data warehouse, tailored to the needs of a specific department or team. 

Note

A data mart makes it easy to access and analyse the data needed, without having to sift through all of the data in the</description>
    </item>
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        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data mesh</title>
        <link>https://datamanagement.wiki/data_management/data_mesh?rev=1709904783&amp;do=diff</link>
        <description>Data mesh

Definition

Data Mesh is an analytical data architecture and operating model where data is treated as a product and owned by teams that most intimately know and use the data.

Note

Another definition: Data mesh is a decentralised approach to data management, where data is owned and managed by the teams that produce and use it.</description>
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        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data modeling</title>
        <link>https://datamanagement.wiki/data_management/data_modeling?rev=1709904783&amp;do=diff</link>
        <description>Data modeling

Definition

Data modeling is a step in the lifecycle of data that results in a data model.

DMBOK2

Data Modeling is the process of discovering, analyzing, and scoping data requirements, and then representing and communicating these data requirements in a precise form called the</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_product?rev=1752326531&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-07-12T13:22:11+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data product</title>
        <link>https://datamanagement.wiki/data_management/data_product?rev=1752326531&amp;do=diff</link>
        <description>Data product

Definition

A data product is a product with regard to data.

Note

Data products according to the data mesh definition are independently managed domain-oriented, scalable and user-oriented data assets.

Relation
Data productis child ofproductData productis a principle of</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_quality_maturity_assessment?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data quality maturity assessment</title>
        <link>https://datamanagement.wiki/data_management/data_quality_maturity_assessment?rev=1709904783&amp;do=diff</link>
        <description>Data quality maturity assessment

Definition

Data quality maturity assessment is a maturity assessment with regards to data quality.

Relation
Data quality maturity assessmentis child ofmaturity assessment
Reference

Ahmad, Kamal. &lt;https://dama-nl.org/wp-content/uploads/2022/09/Data-Quality-Maturity-Scan-v2.6.xlsx&gt;. Excel.

all</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_science?rev=1709904782&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data science</title>
        <link>https://datamanagement.wiki/data_management/data_science?rev=1709904782&amp;do=diff</link>
        <description>Data science

DMBoK2

Data Science is the capability to explore data patterns with the advent of Big Data and the technologies that support it.

all dmbok2</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_space?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data space</title>
        <link>https://datamanagement.wiki/data_management/data_space?rev=1709904783&amp;do=diff</link>
        <description>Data space

Definition

A data space is a relationship between trusted partners who adhere to the same standards and guidelines when it comes to data storage and sharing.

Note

Another definition is:

	*  A data space is a decentralised infrastructure for trustworthy data sharing and exchange in data ecosystems, based on commonly agreed principles.</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_storage?rev=1752326748&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-07-12T13:25:48+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data storage</title>
        <link>https://datamanagement.wiki/data_management/data_storage?rev=1752326748&amp;do=diff</link>
        <description>Data storage

Definition

Data storage is the recording of data in a storage medium.

DMBOK2

Data storage is any collection of stored data, regardless of structure or content.

Relation
Data storageis parent ofdata lakeData storageis parent ofdata warehouse
all dmbok2 dums</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_storage_and_operation?rev=1709904782&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data storage and operation</title>
        <link>https://datamanagement.wiki/data_management/data_storage_and_operation?rev=1709904782&amp;do=diff</link>
        <description>Data storage and operation

See

Data storage

DMBOK2

Data storage and operations includes the design, implementation, and support of stored data, to maximize its value throughout the data lifecycle.

Relation
Data storage and operationis one of the knowledge areas in</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_utilization?rev=1724430780&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-08-23T16:33:00+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data utilization</title>
        <link>https://datamanagement.wiki/data_management/data_utilization?rev=1724430780&amp;do=diff</link>
        <description>Data utilization

Definition

Data utilization is utilisation with regard to data.

Relation
Data utilizationis child ofutilisation
all</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_warehouse?rev=1709904782&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data warehouse</title>
        <link>https://datamanagement.wiki/data_management/data_warehouse?rev=1709904782&amp;do=diff</link>
        <description>Data warehouse

Definition

A data warehouse is a central data storage for managing structured data. 

DMBoK2

Data Warehousing describes the operational extract, cleansing, transformation, con-trol, and load processes that maintain the data in a data warehouse so that it can be used by BI. The data warehousing process focuses on enabling an integrated and his-torical business context on operational data by enforcing business rules and maintain-ing appropriate business data relationships. Also i…</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/data_warehousing_and_business_intelligence?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Data warehousing and business intelligence</title>
        <link>https://datamanagement.wiki/data_management/data_warehousing_and_business_intelligence?rev=1709904783&amp;do=diff</link>
        <description>Data warehousing and business intelligence

Definition

See

	*  Data warehouse
	*  Business intelligence

DMBoK2

Planning, implementation, and control processes to provide decision support data 
and support knowledge workers engaged in reporting, query, and analysis.

all dmbok2</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/document_and_content_management?rev=1709904782&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Document and content management</title>
        <link>https://datamanagement.wiki/data_management/document_and_content_management?rev=1709904782&amp;do=diff</link>
        <description>Document and content management

Definition

See document management and content management.

DMBoK2

Planning, implementation, and control activities for lifecycle management of data and information found in any form or medium.

Document and Content Management entails controlling the capture, storage, access, and use of data and information stored outside relational databases.</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/document_management?rev=1709904782&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Document management</title>
        <link>https://datamanagement.wiki/data_management/document_management?rev=1709904782&amp;do=diff</link>
        <description>Document management

Definition

Document  management is management with regard to documents.

DMBoK2

Document management encompasses the processes, techniques, and technologies for controlling and organizing documents and records throughout their lifecycle. It includes storage, inventory, and control, for both electronic and paper documents.</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/first_topic?rev=1720208295&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-07-05T19:38:15+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>First Topic</title>
        <link>https://datamanagement.wiki/data_management/first_topic?rev=1720208295&amp;do=diff</link>
        <description>First Topic</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/maturity_assessment?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Maturity assessment</title>
        <link>https://datamanagement.wiki/data_management/maturity_assessment?rev=1709904783&amp;do=diff</link>
        <description>Maturity assessment

Definition

A maturity assessment is an assessment with regard to maturity.

DMBoK2

Maturity Assessment is an approach to process improvement based on a framework.

Relations
Maturity assessmentis child ofassessment
all dmbok2</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/metadata_management?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Metadata management</title>
        <link>https://datamanagement.wiki/data_management/metadata_management?rev=1709904783&amp;do=diff</link>
        <description>Metadata management

Definition

Metadata management is management with regard to metadata.

DMBoK2

Metadata Management is the planning, implementation, and control activities to enable access to high quality, integrated metadata

Relation
Metadata managementis child of</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/records_management?rev=1709904783&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-03-08T13:33:03+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Records management</title>
        <link>https://datamanagement.wiki/data_management/records_management?rev=1709904783&amp;do=diff</link>
        <description>Records management

Definition

Records management is management with regard to records.

DMBoK2

Records Management includes the full lifecycle: from record creation or receipt through processing, distribution, organization, and retrieval, to disposition. Records can be physical (e.g., documents, memos, contracts, reports or microfiche); electronic (e.g., email content, attachments, and instant messaging); content on a website.</description>
    </item>
    <item rdf:about="https://datamanagement.wiki/data_management/stakeholder_analysis?rev=1722006473&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2024-07-26T15:07:53+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Stakeholder analysis</title>
        <link>https://datamanagement.wiki/data_management/stakeholder_analysis?rev=1722006473&amp;do=diff</link>
        <description>Stakeholder analysis

Definition

A stakeholder analysis is an analysis with regard to stakeholders.

Notes

Another defintion is: 

An overview of all stakeholders and their interest (requirements, needs and expectations) concerning data quality.

A stakeholder rating map is a form of visualization using a quartered chart to show stakeholders in terms of interest and influence/power. See figure 1.</description>
    </item>
</rdf:RDF>
