SlideShare a Scribd company logo
1 of 13
Metadata Advantages of local
Metadata
By: Azeem Sultan
Student at: GCUF
Definition
Metadata can be defined as “structured information about a
document, data, or other information content”.
Examples of metadata are author, title, subject keywords, date of
publication, security classification, access permissions, and rights
information and so on.
A metadata schema or metadata framework is an organized table that
specifies what metadata will be gathered, how it is defined, how it will
be collected, and what purposes it should serve.
Types of Metadata
There are three main types of metadata:
• Descriptive metadata describes a resource for purposes such as discovery
and identification. It can include elements such as title, abstract, author, and
keywords.
• Structural metadata indicates how compound objects are put together, for
example, how pages are ordered to form chapters.
• Administrative metadata provides information to help manage a resource,
such as when and how it was created, file type and other technical
information, and who can access it.
Metadata is used for four main purposes
• To identify content
• To manage content
• To retrieve content
• To track usage of content
Identify Content
Metadata identifies content to give it a unique characterization
distinguishing it from other pieces of content.
Identification metadata is descript metadata, and can include elements
such as:
Unique resource identifier (URI)
Filename or file reference number
Author
Title
Manage Content
Metadata plays a very important function in helping systems manage content. This
is so that the system knows, for example, who should have access to the document,
which applications should be used to display the file, what operations should be
conducted on a file at given times or within certain workflows.
In this function, administrative and structural metadata capture things like:
Version number
Archiving date
Security and access permissions
Rights management settings
Retention schedule
File format
Linked resources
Retrieve Content
Helping users to find and retrieve content is the function of metadata
that is most closely connected with taxonomies.
In this function, descriptive metadata includes things like:
Taxonomy topics
Subject keywords added by users
Document descriptions
Track usage of content
• A more sophisticated use of metadata is to track the usage of a document and to connect
content to other content. A well-known example of this is the Amazon message “people
who bought this book also bought…” This information is collected automatically by the
system and it associates content based on tracking user behaviors upon the content.
• In this function, examples of usage metadata might be:
• User ratings
• Downloads data (who has downloaded it, or how often)
• Forwarding data (who has forwarded it, to whom)
• Search terms (search terms used immediately prior to a download)
• Links data (number and source of hyperlinks pointing to the content; links from the
content to other pieces of content)
• Metadata is critical information about information and content that allows us to
navigate, find, and manage our key business information assets.
Advantages
• Consistency of definitions
• Clarity of relationships
• Clarity of data lineage
Consistency of definitions
• Metadata contains information about data that helps reconcile the
difference in terminology such as "clients" and "customers,"
"revenue" and "sales," etc.
Clarity of relationships
• Metadata helps resolve ambiguity and inconsistencies when
determining the associations between entities stored throughout
data environment. For example, if a customer declares a "beneficiary"
in one application, and this beneficiary is called a "participant" in
another application, metadata definitions would help clarify the
situation.
Clarity of data lineage
• Metadata contains information about the origins of a particular data
set and can be granular enough to define information at the attribute
level; metadata may maintain allowed values for a data attribute, its
proper format, location, owner, and steward. Operationally, metadata
may maintain auditable information about users, applications, and
processes that create, delete, or change data, the exact timestamp of
the change, and the authorization that was used to perform these
actions.
Data Formats
• Metadata defines formats of data.
1. .SHP
2. .IMG
3. .GDB
4. .CAD etc

More Related Content

What's hot (20)

Library Database management system
Library Database management system Library Database management system
Library Database management system
 
Data Modeling PPT
Data Modeling PPTData Modeling PPT
Data Modeling PPT
 
Web crawler
Web crawlerWeb crawler
Web crawler
 
ER-Model-ER Diagram
ER-Model-ER DiagramER-Model-ER Diagram
ER-Model-ER Diagram
 
Html ppt
Html pptHtml ppt
Html ppt
 
Information retrieval system
Information retrieval systemInformation retrieval system
Information retrieval system
 
Data Mining
Data MiningData Mining
Data Mining
 
Html links
Html linksHtml links
Html links
 
Databases: Normalisation
Databases: NormalisationDatabases: Normalisation
Databases: Normalisation
 
Data independence
Data independenceData independence
Data independence
 
Information Retrieval
Information RetrievalInformation Retrieval
Information Retrieval
 
Client server architecture
Client server architectureClient server architecture
Client server architecture
 
Data Warehousing
Data WarehousingData Warehousing
Data Warehousing
 
Information storage and retrieval
Information storage and  retrievalInformation storage and  retrieval
Information storage and retrieval
 
Information retrieval-systems notes
Information retrieval-systems notesInformation retrieval-systems notes
Information retrieval-systems notes
 
Meta Search Engine: An Introductory Study
Meta Search Engine: An Introductory StudyMeta Search Engine: An Introductory Study
Meta Search Engine: An Introductory Study
 
Types Of Keys in DBMS
Types Of Keys in DBMSTypes Of Keys in DBMS
Types Of Keys in DBMS
 
Information storage and retrieval PPT.pdf
Information storage and retrieval PPT.pdfInformation storage and retrieval PPT.pdf
Information storage and retrieval PPT.pdf
 
Fundamentals of Database Design
Fundamentals of Database DesignFundamentals of Database Design
Fundamentals of Database Design
 
CS6007 information retrieval - 5 units notes
CS6007   information retrieval - 5 units notesCS6007   information retrieval - 5 units notes
CS6007 information retrieval - 5 units notes
 

Similar to Advantages of metadata

The Metadata Secret in Your Data
The Metadata Secret in Your DataThe Metadata Secret in Your Data
The Metadata Secret in Your DataEverteam
 
Data management: documentation and metadata
Data management: documentation and metadataData management: documentation and metadata
Data management: documentation and metadataStatistics Specialist
 
Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled IntelligenceMetadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligencedannyijwest
 
Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence               Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence dannyijwest
 
Making Meaning with Metadata
Making Meaning with MetadataMaking Meaning with Metadata
Making Meaning with MetadataJohn Horodyski
 
chapter11-220725121546-671fc36c.pdf
chapter11-220725121546-671fc36c.pdfchapter11-220725121546-671fc36c.pdf
chapter11-220725121546-671fc36c.pdfMahmoudSOLIMAN380726
 
‏‏‏‏‏‏‏‏Chapter 11: Meta-data Management
‏‏‏‏‏‏‏‏Chapter 11: Meta-data Management‏‏‏‏‏‏‏‏Chapter 11: Meta-data Management
‏‏‏‏‏‏‏‏Chapter 11: Meta-data ManagementAhmed Alorage
 
MetadataTheory: Introduction to Metadata (5th of 10)
MetadataTheory: Introduction to Metadata (5th of 10)MetadataTheory: Introduction to Metadata (5th of 10)
MetadataTheory: Introduction to Metadata (5th of 10)Nikos Palavitsinis, PhD
 
Metadata and Tagging
Metadata and TaggingMetadata and Tagging
Metadata and Taggingpauloshea
 
AMCTO presentation on moving from records managment to information management
AMCTO presentation on moving from records managment to information managementAMCTO presentation on moving from records managment to information management
AMCTO presentation on moving from records managment to information managementChristopher Wynder
 
Management of bibliographic metadata - Metadata management at the Leibniz Inf...
Management of bibliographic metadata - Metadata management at the Leibniz Inf...Management of bibliographic metadata - Metadata management at the Leibniz Inf...
Management of bibliographic metadata - Metadata management at the Leibniz Inf...suvanni
 
20IT501_DWDM_PPT_Unit_II.ppt
20IT501_DWDM_PPT_Unit_II.ppt20IT501_DWDM_PPT_Unit_II.ppt
20IT501_DWDM_PPT_Unit_II.pptSamPrem3
 
Metadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesMetadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesRichard.Sapon-White
 
km ppt neew one
km ppt neew onekm ppt neew one
km ppt neew oneSahil Jain
 
Metadata and Analytics
Metadata and AnalyticsMetadata and Analytics
Metadata and Analyticsbrunomase
 
20IT501_DWDM_PPT_Unit_II.ppt
20IT501_DWDM_PPT_Unit_II.ppt20IT501_DWDM_PPT_Unit_II.ppt
20IT501_DWDM_PPT_Unit_II.pptPalaniKumarR2
 
Data warehousing
Data warehousingData warehousing
Data warehousingkeeyre
 
DataONE Education Module 07: Metadata
DataONE Education Module 07: MetadataDataONE Education Module 07: Metadata
DataONE Education Module 07: MetadataDataONE
 
Information retrieval s
Information retrieval sInformation retrieval s
Information retrieval ssilambu111
 

Similar to Advantages of metadata (20)

The Metadata Secret in Your Data
The Metadata Secret in Your DataThe Metadata Secret in Your Data
The Metadata Secret in Your Data
 
Data management: documentation and metadata
Data management: documentation and metadataData management: documentation and metadata
Data management: documentation and metadata
 
Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled IntelligenceMetadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence
 
Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence               Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence
 
Making Meaning with Metadata
Making Meaning with MetadataMaking Meaning with Metadata
Making Meaning with Metadata
 
chapter11-220725121546-671fc36c.pdf
chapter11-220725121546-671fc36c.pdfchapter11-220725121546-671fc36c.pdf
chapter11-220725121546-671fc36c.pdf
 
‏‏‏‏‏‏‏‏Chapter 11: Meta-data Management
‏‏‏‏‏‏‏‏Chapter 11: Meta-data Management‏‏‏‏‏‏‏‏Chapter 11: Meta-data Management
‏‏‏‏‏‏‏‏Chapter 11: Meta-data Management
 
MetadataTheory: Introduction to Metadata (5th of 10)
MetadataTheory: Introduction to Metadata (5th of 10)MetadataTheory: Introduction to Metadata (5th of 10)
MetadataTheory: Introduction to Metadata (5th of 10)
 
Metadata and Tagging
Metadata and TaggingMetadata and Tagging
Metadata and Tagging
 
Metadata
MetadataMetadata
Metadata
 
AMCTO presentation on moving from records managment to information management
AMCTO presentation on moving from records managment to information managementAMCTO presentation on moving from records managment to information management
AMCTO presentation on moving from records managment to information management
 
Management of bibliographic metadata - Metadata management at the Leibniz Inf...
Management of bibliographic metadata - Metadata management at the Leibniz Inf...Management of bibliographic metadata - Metadata management at the Leibniz Inf...
Management of bibliographic metadata - Metadata management at the Leibniz Inf...
 
20IT501_DWDM_PPT_Unit_II.ppt
20IT501_DWDM_PPT_Unit_II.ppt20IT501_DWDM_PPT_Unit_II.ppt
20IT501_DWDM_PPT_Unit_II.ppt
 
Metadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesMetadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemes
 
km ppt neew one
km ppt neew onekm ppt neew one
km ppt neew one
 
Metadata and Analytics
Metadata and AnalyticsMetadata and Analytics
Metadata and Analytics
 
20IT501_DWDM_PPT_Unit_II.ppt
20IT501_DWDM_PPT_Unit_II.ppt20IT501_DWDM_PPT_Unit_II.ppt
20IT501_DWDM_PPT_Unit_II.ppt
 
Data warehousing
Data warehousingData warehousing
Data warehousing
 
DataONE Education Module 07: Metadata
DataONE Education Module 07: MetadataDataONE Education Module 07: Metadata
DataONE Education Module 07: Metadata
 
Information retrieval s
Information retrieval sInformation retrieval s
Information retrieval s
 

Recently uploaded

SaaStr Workshop Wednesday w: Jason Lemkin, SaaStr
SaaStr Workshop Wednesday w: Jason Lemkin, SaaStrSaaStr Workshop Wednesday w: Jason Lemkin, SaaStr
SaaStr Workshop Wednesday w: Jason Lemkin, SaaStrsaastr
 
WhatsApp 📞 9892124323 ✅Call Girls In Juhu ( Mumbai )
WhatsApp 📞 9892124323 ✅Call Girls In Juhu ( Mumbai )WhatsApp 📞 9892124323 ✅Call Girls In Juhu ( Mumbai )
WhatsApp 📞 9892124323 ✅Call Girls In Juhu ( Mumbai )Pooja Nehwal
 
Genesis part 2 Isaiah Scudder 04-24-2024.pptx
Genesis part 2 Isaiah Scudder 04-24-2024.pptxGenesis part 2 Isaiah Scudder 04-24-2024.pptx
Genesis part 2 Isaiah Scudder 04-24-2024.pptxFamilyWorshipCenterD
 
Re-membering the Bard: Revisiting The Compleat Wrks of Wllm Shkspr (Abridged)...
Re-membering the Bard: Revisiting The Compleat Wrks of Wllm Shkspr (Abridged)...Re-membering the Bard: Revisiting The Compleat Wrks of Wllm Shkspr (Abridged)...
Re-membering the Bard: Revisiting The Compleat Wrks of Wllm Shkspr (Abridged)...Hasting Chen
 
Open Source Camp Kubernetes 2024 | Monitoring Kubernetes With Icinga by Eric ...
Open Source Camp Kubernetes 2024 | Monitoring Kubernetes With Icinga by Eric ...Open Source Camp Kubernetes 2024 | Monitoring Kubernetes With Icinga by Eric ...
Open Source Camp Kubernetes 2024 | Monitoring Kubernetes With Icinga by Eric ...NETWAYS
 
Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...
Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...
Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...NETWAYS
 
Call Girls in Sarojini Nagar Market Delhi 💯 Call Us 🔝8264348440🔝
Call Girls in Sarojini Nagar Market Delhi 💯 Call Us 🔝8264348440🔝Call Girls in Sarojini Nagar Market Delhi 💯 Call Us 🔝8264348440🔝
Call Girls in Sarojini Nagar Market Delhi 💯 Call Us 🔝8264348440🔝soniya singh
 
call girls in delhi malviya nagar @9811711561@
call girls in delhi malviya nagar @9811711561@call girls in delhi malviya nagar @9811711561@
call girls in delhi malviya nagar @9811711561@vikas rana
 
Navi Mumbai Call Girls Service Pooja 9892124323 Real Russian Girls Looking Mo...
Navi Mumbai Call Girls Service Pooja 9892124323 Real Russian Girls Looking Mo...Navi Mumbai Call Girls Service Pooja 9892124323 Real Russian Girls Looking Mo...
Navi Mumbai Call Girls Service Pooja 9892124323 Real Russian Girls Looking Mo...Pooja Nehwal
 
Governance and Nation-Building in Nigeria: Some Reflections on Options for Po...
Governance and Nation-Building in Nigeria: Some Reflections on Options for Po...Governance and Nation-Building in Nigeria: Some Reflections on Options for Po...
Governance and Nation-Building in Nigeria: Some Reflections on Options for Po...Kayode Fayemi
 
Night 7k Call Girls Noida Sector 128 Call Me: 8448380779
Night 7k Call Girls Noida Sector 128 Call Me: 8448380779Night 7k Call Girls Noida Sector 128 Call Me: 8448380779
Night 7k Call Girls Noida Sector 128 Call Me: 8448380779Delhi Call girls
 
Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...
Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...
Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...Krijn Poppe
 
LANDMARKS AND MONUMENTS IN NIGERIA.pptx
LANDMARKS  AND MONUMENTS IN NIGERIA.pptxLANDMARKS  AND MONUMENTS IN NIGERIA.pptx
LANDMARKS AND MONUMENTS IN NIGERIA.pptxBasil Achie
 
Philippine History cavite Mutiny Report.ppt
Philippine History cavite Mutiny Report.pptPhilippine History cavite Mutiny Report.ppt
Philippine History cavite Mutiny Report.pptssuser319dad
 
Microsoft Copilot AI for Everyone - created by AI
Microsoft Copilot AI for Everyone - created by AIMicrosoft Copilot AI for Everyone - created by AI
Microsoft Copilot AI for Everyone - created by AITatiana Gurgel
 
George Lever - eCommerce Day Chile 2024
George Lever -  eCommerce Day Chile 2024George Lever -  eCommerce Day Chile 2024
George Lever - eCommerce Day Chile 2024eCommerce Institute
 
Exploring protein-protein interactions by Weak Affinity Chromatography (WAC) ...
Exploring protein-protein interactions by Weak Affinity Chromatography (WAC) ...Exploring protein-protein interactions by Weak Affinity Chromatography (WAC) ...
Exploring protein-protein interactions by Weak Affinity Chromatography (WAC) ...Salam Al-Karadaghi
 
OSCamp Kubernetes 2024 | A Tester's Guide to CI_CD as an Automated Quality Co...
OSCamp Kubernetes 2024 | A Tester's Guide to CI_CD as an Automated Quality Co...OSCamp Kubernetes 2024 | A Tester's Guide to CI_CD as an Automated Quality Co...
OSCamp Kubernetes 2024 | A Tester's Guide to CI_CD as an Automated Quality Co...NETWAYS
 
Call Girls in Rohini Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Rohini Delhi 💯Call Us 🔝8264348440🔝Call Girls in Rohini Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Rohini Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Andrés Ramírez Gossler, Facundo Schinnea - eCommerce Day Chile 2024
Andrés Ramírez Gossler, Facundo Schinnea - eCommerce Day Chile 2024Andrés Ramírez Gossler, Facundo Schinnea - eCommerce Day Chile 2024
Andrés Ramírez Gossler, Facundo Schinnea - eCommerce Day Chile 2024eCommerce Institute
 

Recently uploaded (20)

SaaStr Workshop Wednesday w: Jason Lemkin, SaaStr
SaaStr Workshop Wednesday w: Jason Lemkin, SaaStrSaaStr Workshop Wednesday w: Jason Lemkin, SaaStr
SaaStr Workshop Wednesday w: Jason Lemkin, SaaStr
 
WhatsApp 📞 9892124323 ✅Call Girls In Juhu ( Mumbai )
WhatsApp 📞 9892124323 ✅Call Girls In Juhu ( Mumbai )WhatsApp 📞 9892124323 ✅Call Girls In Juhu ( Mumbai )
WhatsApp 📞 9892124323 ✅Call Girls In Juhu ( Mumbai )
 
Genesis part 2 Isaiah Scudder 04-24-2024.pptx
Genesis part 2 Isaiah Scudder 04-24-2024.pptxGenesis part 2 Isaiah Scudder 04-24-2024.pptx
Genesis part 2 Isaiah Scudder 04-24-2024.pptx
 
Re-membering the Bard: Revisiting The Compleat Wrks of Wllm Shkspr (Abridged)...
Re-membering the Bard: Revisiting The Compleat Wrks of Wllm Shkspr (Abridged)...Re-membering the Bard: Revisiting The Compleat Wrks of Wllm Shkspr (Abridged)...
Re-membering the Bard: Revisiting The Compleat Wrks of Wllm Shkspr (Abridged)...
 
Open Source Camp Kubernetes 2024 | Monitoring Kubernetes With Icinga by Eric ...
Open Source Camp Kubernetes 2024 | Monitoring Kubernetes With Icinga by Eric ...Open Source Camp Kubernetes 2024 | Monitoring Kubernetes With Icinga by Eric ...
Open Source Camp Kubernetes 2024 | Monitoring Kubernetes With Icinga by Eric ...
 
Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...
Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...
Open Source Camp Kubernetes 2024 | Running WebAssembly on Kubernetes by Alex ...
 
Call Girls in Sarojini Nagar Market Delhi 💯 Call Us 🔝8264348440🔝
Call Girls in Sarojini Nagar Market Delhi 💯 Call Us 🔝8264348440🔝Call Girls in Sarojini Nagar Market Delhi 💯 Call Us 🔝8264348440🔝
Call Girls in Sarojini Nagar Market Delhi 💯 Call Us 🔝8264348440🔝
 
call girls in delhi malviya nagar @9811711561@
call girls in delhi malviya nagar @9811711561@call girls in delhi malviya nagar @9811711561@
call girls in delhi malviya nagar @9811711561@
 
Navi Mumbai Call Girls Service Pooja 9892124323 Real Russian Girls Looking Mo...
Navi Mumbai Call Girls Service Pooja 9892124323 Real Russian Girls Looking Mo...Navi Mumbai Call Girls Service Pooja 9892124323 Real Russian Girls Looking Mo...
Navi Mumbai Call Girls Service Pooja 9892124323 Real Russian Girls Looking Mo...
 
Governance and Nation-Building in Nigeria: Some Reflections on Options for Po...
Governance and Nation-Building in Nigeria: Some Reflections on Options for Po...Governance and Nation-Building in Nigeria: Some Reflections on Options for Po...
Governance and Nation-Building in Nigeria: Some Reflections on Options for Po...
 
Night 7k Call Girls Noida Sector 128 Call Me: 8448380779
Night 7k Call Girls Noida Sector 128 Call Me: 8448380779Night 7k Call Girls Noida Sector 128 Call Me: 8448380779
Night 7k Call Girls Noida Sector 128 Call Me: 8448380779
 
Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...
Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...
Presentation for the Strategic Dialogue on the Future of Agriculture, Brussel...
 
LANDMARKS AND MONUMENTS IN NIGERIA.pptx
LANDMARKS  AND MONUMENTS IN NIGERIA.pptxLANDMARKS  AND MONUMENTS IN NIGERIA.pptx
LANDMARKS AND MONUMENTS IN NIGERIA.pptx
 
Philippine History cavite Mutiny Report.ppt
Philippine History cavite Mutiny Report.pptPhilippine History cavite Mutiny Report.ppt
Philippine History cavite Mutiny Report.ppt
 
Microsoft Copilot AI for Everyone - created by AI
Microsoft Copilot AI for Everyone - created by AIMicrosoft Copilot AI for Everyone - created by AI
Microsoft Copilot AI for Everyone - created by AI
 
George Lever - eCommerce Day Chile 2024
George Lever -  eCommerce Day Chile 2024George Lever -  eCommerce Day Chile 2024
George Lever - eCommerce Day Chile 2024
 
Exploring protein-protein interactions by Weak Affinity Chromatography (WAC) ...
Exploring protein-protein interactions by Weak Affinity Chromatography (WAC) ...Exploring protein-protein interactions by Weak Affinity Chromatography (WAC) ...
Exploring protein-protein interactions by Weak Affinity Chromatography (WAC) ...
 
OSCamp Kubernetes 2024 | A Tester's Guide to CI_CD as an Automated Quality Co...
OSCamp Kubernetes 2024 | A Tester's Guide to CI_CD as an Automated Quality Co...OSCamp Kubernetes 2024 | A Tester's Guide to CI_CD as an Automated Quality Co...
OSCamp Kubernetes 2024 | A Tester's Guide to CI_CD as an Automated Quality Co...
 
Call Girls in Rohini Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Rohini Delhi 💯Call Us 🔝8264348440🔝Call Girls in Rohini Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Rohini Delhi 💯Call Us 🔝8264348440🔝
 
Andrés Ramírez Gossler, Facundo Schinnea - eCommerce Day Chile 2024
Andrés Ramírez Gossler, Facundo Schinnea - eCommerce Day Chile 2024Andrés Ramírez Gossler, Facundo Schinnea - eCommerce Day Chile 2024
Andrés Ramírez Gossler, Facundo Schinnea - eCommerce Day Chile 2024
 

Advantages of metadata

  • 1. Metadata Advantages of local Metadata By: Azeem Sultan Student at: GCUF
  • 2. Definition Metadata can be defined as “structured information about a document, data, or other information content”. Examples of metadata are author, title, subject keywords, date of publication, security classification, access permissions, and rights information and so on. A metadata schema or metadata framework is an organized table that specifies what metadata will be gathered, how it is defined, how it will be collected, and what purposes it should serve.
  • 3. Types of Metadata There are three main types of metadata: • Descriptive metadata describes a resource for purposes such as discovery and identification. It can include elements such as title, abstract, author, and keywords. • Structural metadata indicates how compound objects are put together, for example, how pages are ordered to form chapters. • Administrative metadata provides information to help manage a resource, such as when and how it was created, file type and other technical information, and who can access it.
  • 4. Metadata is used for four main purposes • To identify content • To manage content • To retrieve content • To track usage of content
  • 5. Identify Content Metadata identifies content to give it a unique characterization distinguishing it from other pieces of content. Identification metadata is descript metadata, and can include elements such as: Unique resource identifier (URI) Filename or file reference number Author Title
  • 6. Manage Content Metadata plays a very important function in helping systems manage content. This is so that the system knows, for example, who should have access to the document, which applications should be used to display the file, what operations should be conducted on a file at given times or within certain workflows. In this function, administrative and structural metadata capture things like: Version number Archiving date Security and access permissions Rights management settings Retention schedule File format Linked resources
  • 7. Retrieve Content Helping users to find and retrieve content is the function of metadata that is most closely connected with taxonomies. In this function, descriptive metadata includes things like: Taxonomy topics Subject keywords added by users Document descriptions
  • 8. Track usage of content • A more sophisticated use of metadata is to track the usage of a document and to connect content to other content. A well-known example of this is the Amazon message “people who bought this book also bought…” This information is collected automatically by the system and it associates content based on tracking user behaviors upon the content. • In this function, examples of usage metadata might be: • User ratings • Downloads data (who has downloaded it, or how often) • Forwarding data (who has forwarded it, to whom) • Search terms (search terms used immediately prior to a download) • Links data (number and source of hyperlinks pointing to the content; links from the content to other pieces of content) • Metadata is critical information about information and content that allows us to navigate, find, and manage our key business information assets.
  • 9. Advantages • Consistency of definitions • Clarity of relationships • Clarity of data lineage
  • 10. Consistency of definitions • Metadata contains information about data that helps reconcile the difference in terminology such as "clients" and "customers," "revenue" and "sales," etc.
  • 11. Clarity of relationships • Metadata helps resolve ambiguity and inconsistencies when determining the associations between entities stored throughout data environment. For example, if a customer declares a "beneficiary" in one application, and this beneficiary is called a "participant" in another application, metadata definitions would help clarify the situation.
  • 12. Clarity of data lineage • Metadata contains information about the origins of a particular data set and can be granular enough to define information at the attribute level; metadata may maintain allowed values for a data attribute, its proper format, location, owner, and steward. Operationally, metadata may maintain auditable information about users, applications, and processes that create, delete, or change data, the exact timestamp of the change, and the authorization that was used to perform these actions.
  • 13. Data Formats • Metadata defines formats of data. 1. .SHP 2. .IMG 3. .GDB 4. .CAD etc