SlideShare une entreprise Scribd logo
1  sur  26
Fourth Floor
Introduction
to Metadata
4
Structure
• History of metadata
• Definitions of metadata
• Types of metadata
• How are metadata created?
• Metadata Schemes
• Metadata Lifecycle
• Metadata Dimensions
• Metadata – Learning Object relationships
History
100+ 1 Definitions
• Data of objects which describes information
resources or data (Morville & Rosenfeld)
• Describe a discipline that fosters the study of
data about data (Sen)
• A record that consists of structured
information about a resource (Al-Khalifa & Davis)
100+ 1 Definitions
• Any data which conveys knowledge about an
item without requiring examination of the
item itself (Haase)
• Structured descriptors of information
resources, designed to promote information
retrieval (Smiraglia)
100+ 1 Definitions
• Structured information about an information
resource of any media type or format(Caplan)
• The term metadata is used differently in different
communities. Some use it to refer to machine
understandable information, while others use it
only for records that describe electronic
resources.
– In the library environment, metadata is commonly
used for any formal scheme of resource description,
applying to any type of object, digital or non-digital
(NISO)
100+ 1 Definitions
• Structured descriptions, stored as computer
data, that attempt to describe the essential
properties of other discrete computer data
objects (Gill)
Why bother?
• Metadata is recognized as a critically
important, and yet increasingly problematic
and complex concept with relevance for
information objects as they move through
time and space, (Gilliland-Swetland, 2004)
Broad Types of Metadata
• Descriptive -Retrieve information
– Book title and author name are descriptive
metadata. In Windows Explorer- file name,
creation date, last modification date, and more. In
Microsoft Word the title, subject, author are such
examples
Broad Types of Metadata
• Processing - Process information
– Framemaker's conditional tags are processing
metadata because they let authors manipulate the
content. The same is true for conditional tags in
HATs (Help Authoring Tools)
Broad Types of Metadata
• Administrative -Manage information
– This varies widely, but examples are author name,
creation date, last modification date, and
"owner".
Broad Types of Metadata
• Semantic metadata can be defined as
– “linking related terms to one another” (Haase, 2004)
– “the process of attaching semantic descriptions to
Web resources by linking them to a number of
classes and properties defined in Ontologies”
(Scerri et al., 2005)
Specific Types of Metadata
• Administrative
– Metadata used in managing & administering
collections & information resources
• Descriptive
– Metadata used to identify & describe collections &
information resources
• Preservation
– Metadata related to the preservation management of
collections & information resources
Specific Types of Metadata
• Technical
– Metadata related to how a system functions or
metadata behaves
• Use
– Metadata related to the level and type of use of
collections and information resources
Towards Semantic Metadata
Distinctions
Source of
metadata
Internal
External
Method of
creation
Automatic
Manual
Nature of
Metadata
Expert
NonExpert
Status of
Metadata
Static
Dynamic
Short-term
Long-term
Structure of
Metadata
Structured
Unstructured
Semantics of
Metadata
Controlled
Uncontrolled
Type of
Metadata
Collection-level
Item-level
Creation of Metadata
• Automated
– By commercial search engines
– Automatic indexing tools
• Manual (Human)
– Professional metadata creators
– Technical metadata creators
– Content creators
– Community/subject enthusiasts
Metadata “in order”
• A Metadata Scheme provides a formal
structure designed to identify the knowledge
structure of a given discipline and to link that
structure to the information of the discipline
through the creation of an information system
that will assist the identification, discovery,
and use of information within that discipline
Metadata Lifecycle
Metadata record & Learning
Object relationships
One to one?
• This might be true for descriptive metadata
• But what about having social metadata or
contextual metadata in place?
Digital
Learning
object
Metadata
…is attached to one record of…
One to many?
Digital
Learning
object
Metadata
…can have multiple records of…
• For different contexts of learning
• From different users (e.g. social metadata)
Metadata
Many to many?
• Different versions (other resolution) that have
same metadata for the biggest part
• Same resources enriched in other repositories
A1
Metadata
Metadata
A1
v1.2
Copy of
A1
Fourth Floor
Policies & Copyrights
for e-Learning
Next stop:
5th Floor – Metadata
Specifications & Standards
4

Contenu connexe

Tendances

Dataset description using the W3C HCLS standard
Dataset description using the W3C HCLS standardDataset description using the W3C HCLS standard
Dataset description using the W3C HCLS standardmhaendel
 
Semantic challenges in sharing dataset metadata and creating federated datase...
Semantic challenges in sharing dataset metadata and creating federated datase...Semantic challenges in sharing dataset metadata and creating federated datase...
Semantic challenges in sharing dataset metadata and creating federated datase...Valeria Pesce
 
Data discovery through federated dataset catalogs
Data discovery through federated dataset catalogsData discovery through federated dataset catalogs
Data discovery through federated dataset catalogsValeria Pesce
 
DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY
DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEYDATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY
DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEYijdkp
 
Managing Your Research Data
Managing Your Research DataManaging Your Research Data
Managing Your Research DataKristin Briney
 
Dissemination Documentation
Dissemination DocumentationDissemination Documentation
Dissemination Documentationannegrete
 
UKSG webinar - Introduction to Text-Mining Research Papers with Petr Knoth an...
UKSG webinar - Introduction to Text-Mining Research Papers with Petr Knoth an...UKSG webinar - Introduction to Text-Mining Research Papers with Petr Knoth an...
UKSG webinar - Introduction to Text-Mining Research Papers with Petr Knoth an...UKSG: connecting the knowledge community
 
Big Data Taxonomy 8/26/2013
Big Data Taxonomy 8/26/2013Big Data Taxonomy 8/26/2013
Big Data Taxonomy 8/26/2013DataTactics
 
Illustrative approach-of-data-mining
Illustrative approach-of-data-miningIllustrative approach-of-data-mining
Illustrative approach-of-data-mininggufranresearcher
 
How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?Jian Qin
 
Dataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesDataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesValeria Pesce
 
HKU Data Curation MLIM7350 Class 9
HKU Data Curation MLIM7350 Class 9 HKU Data Curation MLIM7350 Class 9
HKU Data Curation MLIM7350 Class 9 Scott Edmunds
 
Emerging Standards: Data and Data Exchange in Scholarly Publishing
Emerging Standards: Data and Data Exchange in Scholarly PublishingEmerging Standards: Data and Data Exchange in Scholarly Publishing
Emerging Standards: Data and Data Exchange in Scholarly PublishingRinggold Inc
 
Asis&t webinar people directories access innovations
Asis&t webinar people directories access innovationsAsis&t webinar people directories access innovations
Asis&t webinar people directories access innovationsBert Carelli
 
How to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issuesHow to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issuesValeria Pesce
 

Tendances (20)

Dataset description using the W3C HCLS standard
Dataset description using the W3C HCLS standardDataset description using the W3C HCLS standard
Dataset description using the W3C HCLS standard
 
Semantic challenges in sharing dataset metadata and creating federated datase...
Semantic challenges in sharing dataset metadata and creating federated datase...Semantic challenges in sharing dataset metadata and creating federated datase...
Semantic challenges in sharing dataset metadata and creating federated datase...
 
Making Sense of ISO/IEC 19788
Making Sense of ISO/IEC 19788Making Sense of ISO/IEC 19788
Making Sense of ISO/IEC 19788
 
Data discovery through federated dataset catalogs
Data discovery through federated dataset catalogsData discovery through federated dataset catalogs
Data discovery through federated dataset catalogs
 
Lafferty "Supporting Research Data Management: Perceptions from a Library Pra...
Lafferty "Supporting Research Data Management: Perceptions from a Library Pra...Lafferty "Supporting Research Data Management: Perceptions from a Library Pra...
Lafferty "Supporting Research Data Management: Perceptions from a Library Pra...
 
Data Mining and Knowledge
Data Mining and KnowledgeData Mining and Knowledge
Data Mining and Knowledge
 
Realizing Semantic Web - Light Weight semantics and beyond
Realizing Semantic Web - Light Weight semantics and beyondRealizing Semantic Web - Light Weight semantics and beyond
Realizing Semantic Web - Light Weight semantics and beyond
 
DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY
DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEYDATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY
DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEY
 
Managing Your Research Data
Managing Your Research DataManaging Your Research Data
Managing Your Research Data
 
Dissemination Documentation
Dissemination DocumentationDissemination Documentation
Dissemination Documentation
 
UKSG webinar - Introduction to Text-Mining Research Papers with Petr Knoth an...
UKSG webinar - Introduction to Text-Mining Research Papers with Petr Knoth an...UKSG webinar - Introduction to Text-Mining Research Papers with Petr Knoth an...
UKSG webinar - Introduction to Text-Mining Research Papers with Petr Knoth an...
 
Big Data Taxonomy 8/26/2013
Big Data Taxonomy 8/26/2013Big Data Taxonomy 8/26/2013
Big Data Taxonomy 8/26/2013
 
Illustrative approach-of-data-mining
Illustrative approach-of-data-miningIllustrative approach-of-data-mining
Illustrative approach-of-data-mining
 
How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?
 
Dataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesDataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabularies
 
HKU Data Curation MLIM7350 Class 9
HKU Data Curation MLIM7350 Class 9 HKU Data Curation MLIM7350 Class 9
HKU Data Curation MLIM7350 Class 9
 
Big Data for Library Services (2017)
Big Data for Library Services (2017)Big Data for Library Services (2017)
Big Data for Library Services (2017)
 
Emerging Standards: Data and Data Exchange in Scholarly Publishing
Emerging Standards: Data and Data Exchange in Scholarly PublishingEmerging Standards: Data and Data Exchange in Scholarly Publishing
Emerging Standards: Data and Data Exchange in Scholarly Publishing
 
Asis&t webinar people directories access innovations
Asis&t webinar people directories access innovationsAsis&t webinar people directories access innovations
Asis&t webinar people directories access innovations
 
How to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issuesHow to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issues
 

En vedette

Preservation metadata
Preservation metadataPreservation metadata
Preservation metadataMichael Day
 
Promoting the re use of open data through ODIP
Promoting the re use of open data through ODIPPromoting the re use of open data through ODIP
Promoting the re use of open data through ODIPOpen Data Support
 
Six Ways to Simplify Metadata Management
Six Ways to Simplify Metadata ManagementSix Ways to Simplify Metadata Management
Six Ways to Simplify Metadata ManagementEnterprise Knowledge
 
The linked open government data and metadata lifecycle
The linked open government data and metadata lifecycleThe linked open government data and metadata lifecycle
The linked open government data and metadata lifecycleOpen Data Support
 
Metadata an overview
Metadata an overviewMetadata an overview
Metadata an overviewrobin fay
 
Introduction to Metadata
Introduction to MetadataIntroduction to Metadata
Introduction to MetadataEUDAT
 
Introduction to metadata management
Introduction to metadata managementIntroduction to metadata management
Introduction to metadata managementOpen Data Support
 

En vedette (9)

Digital Media in 2012
Digital Media in 2012Digital Media in 2012
Digital Media in 2012
 
Preservation metadata
Preservation metadataPreservation metadata
Preservation metadata
 
Promoting the re use of open data through ODIP
Promoting the re use of open data through ODIPPromoting the re use of open data through ODIP
Promoting the re use of open data through ODIP
 
Six Ways to Simplify Metadata Management
Six Ways to Simplify Metadata ManagementSix Ways to Simplify Metadata Management
Six Ways to Simplify Metadata Management
 
Talend Metadata Bridge
Talend Metadata BridgeTalend Metadata Bridge
Talend Metadata Bridge
 
The linked open government data and metadata lifecycle
The linked open government data and metadata lifecycleThe linked open government data and metadata lifecycle
The linked open government data and metadata lifecycle
 
Metadata an overview
Metadata an overviewMetadata an overview
Metadata an overview
 
Introduction to Metadata
Introduction to MetadataIntroduction to Metadata
Introduction to Metadata
 
Introduction to metadata management
Introduction to metadata managementIntroduction to metadata management
Introduction to metadata management
 

Similaire à MetadataTheory: Introduction to Metadata (5th of 10)

How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?Jian Qin
 
Metadata issues and challenges: Link Data
Metadata issues and challenges: Link DataMetadata issues and challenges: Link Data
Metadata issues and challenges: Link DataAmna Farzand Ali
 
10-15-13 “Metadata and Repository Services for Research Data Curation” Presen...
10-15-13 “Metadata and Repository Services for Research Data Curation” Presen...10-15-13 “Metadata and Repository Services for Research Data Curation” Presen...
10-15-13 “Metadata and Repository Services for Research Data Curation” Presen...DuraSpace
 
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogueseROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset cataloguese-ROSA
 
Duraspace Hot Topics Series 6: Metadata and Repository Services
Duraspace Hot Topics Series 6: Metadata and Repository ServicesDuraspace Hot Topics Series 6: Metadata and Repository Services
Duraspace Hot Topics Series 6: Metadata and Repository ServicesMatthew Critchlow
 
Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...
Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...
Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...Jenn Riley
 
Data Sets, Ensemble Cloud Computing, and the University Library: Getting the ...
Data Sets, Ensemble Cloud Computing, and the University Library:Getting the ...Data Sets, Ensemble Cloud Computing, and the University Library:Getting the ...
Data Sets, Ensemble Cloud Computing, and the University Library: Getting the ...SEAD
 
RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...
RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...
RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...ASIS&T
 
Data, Text and Web Mining
Data, Text and Web Mining Data, Text and Web Mining
Data, Text and Web Mining Jeremiah Fadugba
 
Metadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesMetadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesRichard.Sapon-White
 
[AIIM17] Data Categorization You Can Live With - Monica Crocker
[AIIM17]  Data Categorization You Can Live With - Monica Crocker [AIIM17]  Data Categorization You Can Live With - Monica Crocker
[AIIM17] Data Categorization You Can Live With - Monica Crocker AIIM International
 

Similaire à MetadataTheory: Introduction to Metadata (5th of 10) (20)

How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?
 
Metadata issues and challenges: Link Data
Metadata issues and challenges: Link DataMetadata issues and challenges: Link Data
Metadata issues and challenges: Link Data
 
Taxonomies and Metadata
Taxonomies and MetadataTaxonomies and Metadata
Taxonomies and Metadata
 
10-15-13 “Metadata and Repository Services for Research Data Curation” Presen...
10-15-13 “Metadata and Repository Services for Research Data Curation” Presen...10-15-13 “Metadata and Repository Services for Research Data Curation” Presen...
10-15-13 “Metadata and Repository Services for Research Data Curation” Presen...
 
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogueseROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
 
Duraspace Hot Topics Series 6: Metadata and Repository Services
Duraspace Hot Topics Series 6: Metadata and Repository ServicesDuraspace Hot Topics Series 6: Metadata and Repository Services
Duraspace Hot Topics Series 6: Metadata and Repository Services
 
Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...
Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...
Tools and Techniques for Creating, Maintaining, and Distributing Shareable Me...
 
Metadata Mapping & Crosswalks
Metadata Mapping & CrosswalksMetadata Mapping & Crosswalks
Metadata Mapping & Crosswalks
 
JOSA TechTalk: Metadata Management
in Big Data
JOSA TechTalk: Metadata Management
in Big DataJOSA TechTalk: Metadata Management
in Big Data
JOSA TechTalk: Metadata Management
in Big Data
 
Preservation Metadata
Preservation MetadataPreservation Metadata
Preservation Metadata
 
Data Sets, Ensemble Cloud Computing, and the University Library: Getting the ...
Data Sets, Ensemble Cloud Computing, and the University Library:Getting the ...Data Sets, Ensemble Cloud Computing, and the University Library:Getting the ...
Data Sets, Ensemble Cloud Computing, and the University Library: Getting the ...
 
RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...
RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...
RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...
 
A theory of Metadata enriching & filtering
A theory of  Metadata enriching & filteringA theory of  Metadata enriching & filtering
A theory of Metadata enriching & filtering
 
Metadata 101
Metadata 101Metadata 101
Metadata 101
 
Data, Text and Web Mining
Data, Text and Web Mining Data, Text and Web Mining
Data, Text and Web Mining
 
RowanDay4.pptx
RowanDay4.pptxRowanDay4.pptx
RowanDay4.pptx
 
Metadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesMetadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemes
 
L07 metadata
L07 metadataL07 metadata
L07 metadata
 
1 d.1
1 d.11 d.1
1 d.1
 
[AIIM17] Data Categorization You Can Live With - Monica Crocker
[AIIM17]  Data Categorization You Can Live With - Monica Crocker [AIIM17]  Data Categorization You Can Live With - Monica Crocker
[AIIM17] Data Categorization You Can Live With - Monica Crocker
 

Plus de Nikos Palavitsinis, PhD

A Hero’s Journey Through Metadata Quality
A Hero’s Journey Through Metadata QualityA Hero’s Journey Through Metadata Quality
A Hero’s Journey Through Metadata QualityNikos Palavitsinis, PhD
 
Σχολείο ΑΕΠ (Συνάντηση 2)
Σχολείο ΑΕΠ (Συνάντηση 2)Σχολείο ΑΕΠ (Συνάντηση 2)
Σχολείο ΑΕΠ (Συνάντηση 2)Nikos Palavitsinis, PhD
 
Σχολείο ΑΕΠ (Συνάντηση 1)
Σχολείο ΑΕΠ (Συνάντηση 1)Σχολείο ΑΕΠ (Συνάντηση 1)
Σχολείο ΑΕΠ (Συνάντηση 1)Nikos Palavitsinis, PhD
 
Digital Educational Content Quality Assurance Process
Digital Educational Content Quality Assurance ProcessDigital Educational Content Quality Assurance Process
Digital Educational Content Quality Assurance ProcessNikos Palavitsinis, PhD
 
Αξιολόγηση Μαθησιακών Αντικειμένων και Σφραγίδες Ποιότητας [Εργαστήρια ΕΕΛ/ΛΑΚ]
Αξιολόγηση Μαθησιακών Αντικειμένων και Σφραγίδες Ποιότητας [Εργαστήρια ΕΕΛ/ΛΑΚ]Αξιολόγηση Μαθησιακών Αντικειμένων και Σφραγίδες Ποιότητας [Εργαστήρια ΕΕΛ/ΛΑΚ]
Αξιολόγηση Μαθησιακών Αντικειμένων και Σφραγίδες Ποιότητας [Εργαστήρια ΕΕΛ/ΛΑΚ]Nikos Palavitsinis, PhD
 
MetadataTheory: Quality for Learning Resources (11th of 10)
MetadataTheory: Quality for Learning Resources (11th of 10)MetadataTheory: Quality for Learning Resources (11th of 10)
MetadataTheory: Quality for Learning Resources (11th of 10)Nikos Palavitsinis, PhD
 
Παιχνίδι Ανοικτών Εκπαιδευτικών Πόρων (25/11/2015)
Παιχνίδι Ανοικτών Εκπαιδευτικών Πόρων (25/11/2015)Παιχνίδι Ανοικτών Εκπαιδευτικών Πόρων (25/11/2015)
Παιχνίδι Ανοικτών Εκπαιδευτικών Πόρων (25/11/2015)Nikos Palavitsinis, PhD
 
[Lean 101] Solution and Unique Value Proposition
[Lean 101] Solution and Unique Value Proposition[Lean 101] Solution and Unique Value Proposition
[Lean 101] Solution and Unique Value PropositionNikos Palavitsinis, PhD
 
[Lean 101] Channels & Metrics - Reaching and Measuring
[Lean 101]  Channels & Metrics - Reaching and Measuring[Lean 101]  Channels & Metrics - Reaching and Measuring
[Lean 101] Channels & Metrics - Reaching and MeasuringNikos Palavitsinis, PhD
 
[Lean 101] Costs & Revenues - Breaking even or Breaking bad???
[Lean 101] Costs & Revenues - Breaking even or Breaking bad???[Lean 101] Costs & Revenues - Breaking even or Breaking bad???
[Lean 101] Costs & Revenues - Breaking even or Breaking bad???Nikos Palavitsinis, PhD
 
[Lean 101] Bootstrapping & Getting Out of the Building
[Lean 101] Bootstrapping & Getting Out of the Building[Lean 101] Bootstrapping & Getting Out of the Building
[Lean 101] Bootstrapping & Getting Out of the BuildingNikos Palavitsinis, PhD
 
[Lean 101] Introduction to Lean - Preparing a Lean Canvas
[Lean 101] Introduction to Lean - Preparing a Lean Canvas[Lean 101] Introduction to Lean - Preparing a Lean Canvas
[Lean 101] Introduction to Lean - Preparing a Lean CanvasNikos Palavitsinis, PhD
 
Quality of Learning Resources & Metadata through Quality Seals, Badges, Marks...
Quality of Learning Resources & Metadata through Quality Seals, Badges, Marks...Quality of Learning Resources & Metadata through Quality Seals, Badges, Marks...
Quality of Learning Resources & Metadata through Quality Seals, Badges, Marks...Nikos Palavitsinis, PhD
 
MetadataTheory: Repository Operational Models (10th of 10)
MetadataTheory: Repository Operational Models (10th of 10)MetadataTheory: Repository Operational Models (10th of 10)
MetadataTheory: Repository Operational Models (10th of 10)Nikos Palavitsinis, PhD
 
MetadataTheory: Learning Repositories Technologies (9th of 10)
MetadataTheory: Learning Repositories Technologies (9th of 10)MetadataTheory: Learning Repositories Technologies (9th of 10)
MetadataTheory: Learning Repositories Technologies (9th of 10)Nikos Palavitsinis, PhD
 
MetadataTheory: Introduction to Repositories (8th of 10)
MetadataTheory: Introduction to Repositories (8th of 10)MetadataTheory: Introduction to Repositories (8th of 10)
MetadataTheory: Introduction to Repositories (8th of 10)Nikos Palavitsinis, PhD
 
MetadataTheory: Metadata Tools (7th of 10)
MetadataTheory: Metadata Tools (7th of 10)MetadataTheory: Metadata Tools (7th of 10)
MetadataTheory: Metadata Tools (7th of 10)Nikos Palavitsinis, PhD
 

Plus de Nikos Palavitsinis, PhD (20)

A Hero’s Journey Through Metadata Quality
A Hero’s Journey Through Metadata QualityA Hero’s Journey Through Metadata Quality
A Hero’s Journey Through Metadata Quality
 
Σχολείο ΑΕΠ (Συνάντηση 2)
Σχολείο ΑΕΠ (Συνάντηση 2)Σχολείο ΑΕΠ (Συνάντηση 2)
Σχολείο ΑΕΠ (Συνάντηση 2)
 
Σχολείο ΑΕΠ (Συνάντηση 1)
Σχολείο ΑΕΠ (Συνάντηση 1)Σχολείο ΑΕΠ (Συνάντηση 1)
Σχολείο ΑΕΠ (Συνάντηση 1)
 
Digital Educational Content Quality Assurance Process
Digital Educational Content Quality Assurance ProcessDigital Educational Content Quality Assurance Process
Digital Educational Content Quality Assurance Process
 
Αξιολόγηση Μαθησιακών Αντικειμένων και Σφραγίδες Ποιότητας [Εργαστήρια ΕΕΛ/ΛΑΚ]
Αξιολόγηση Μαθησιακών Αντικειμένων και Σφραγίδες Ποιότητας [Εργαστήρια ΕΕΛ/ΛΑΚ]Αξιολόγηση Μαθησιακών Αντικειμένων και Σφραγίδες Ποιότητας [Εργαστήρια ΕΕΛ/ΛΑΚ]
Αξιολόγηση Μαθησιακών Αντικειμένων και Σφραγίδες Ποιότητας [Εργαστήρια ΕΕΛ/ΛΑΚ]
 
MetadataTheory: Quality for Learning Resources (11th of 10)
MetadataTheory: Quality for Learning Resources (11th of 10)MetadataTheory: Quality for Learning Resources (11th of 10)
MetadataTheory: Quality for Learning Resources (11th of 10)
 
The OER Game!
The OER Game!The OER Game!
The OER Game!
 
Παιχνίδι Ανοικτών Εκπαιδευτικών Πόρων (25/11/2015)
Παιχνίδι Ανοικτών Εκπαιδευτικών Πόρων (25/11/2015)Παιχνίδι Ανοικτών Εκπαιδευτικών Πόρων (25/11/2015)
Παιχνίδι Ανοικτών Εκπαιδευτικών Πόρων (25/11/2015)
 
[Lean 101] Solution and Unique Value Proposition
[Lean 101] Solution and Unique Value Proposition[Lean 101] Solution and Unique Value Proposition
[Lean 101] Solution and Unique Value Proposition
 
[Lean 101] Channels & Metrics - Reaching and Measuring
[Lean 101]  Channels & Metrics - Reaching and Measuring[Lean 101]  Channels & Metrics - Reaching and Measuring
[Lean 101] Channels & Metrics - Reaching and Measuring
 
[Lean 101] Costs & Revenues - Breaking even or Breaking bad???
[Lean 101] Costs & Revenues - Breaking even or Breaking bad???[Lean 101] Costs & Revenues - Breaking even or Breaking bad???
[Lean 101] Costs & Revenues - Breaking even or Breaking bad???
 
[Lean 101] Learn, Adapt & Pivot
[Lean 101] Learn, Adapt & Pivot[Lean 101] Learn, Adapt & Pivot
[Lean 101] Learn, Adapt & Pivot
 
[Lean 101] Bootstrapping & Getting Out of the Building
[Lean 101] Bootstrapping & Getting Out of the Building[Lean 101] Bootstrapping & Getting Out of the Building
[Lean 101] Bootstrapping & Getting Out of the Building
 
[Lean 101] Introduction to Lean - Preparing a Lean Canvas
[Lean 101] Introduction to Lean - Preparing a Lean Canvas[Lean 101] Introduction to Lean - Preparing a Lean Canvas
[Lean 101] Introduction to Lean - Preparing a Lean Canvas
 
Quality of Learning Resources & Metadata through Quality Seals, Badges, Marks...
Quality of Learning Resources & Metadata through Quality Seals, Badges, Marks...Quality of Learning Resources & Metadata through Quality Seals, Badges, Marks...
Quality of Learning Resources & Metadata through Quality Seals, Badges, Marks...
 
Presentation of my MSc thesis (Greek)
Presentation of my MSc thesis (Greek)Presentation of my MSc thesis (Greek)
Presentation of my MSc thesis (Greek)
 
MetadataTheory: Repository Operational Models (10th of 10)
MetadataTheory: Repository Operational Models (10th of 10)MetadataTheory: Repository Operational Models (10th of 10)
MetadataTheory: Repository Operational Models (10th of 10)
 
MetadataTheory: Learning Repositories Technologies (9th of 10)
MetadataTheory: Learning Repositories Technologies (9th of 10)MetadataTheory: Learning Repositories Technologies (9th of 10)
MetadataTheory: Learning Repositories Technologies (9th of 10)
 
MetadataTheory: Introduction to Repositories (8th of 10)
MetadataTheory: Introduction to Repositories (8th of 10)MetadataTheory: Introduction to Repositories (8th of 10)
MetadataTheory: Introduction to Repositories (8th of 10)
 
MetadataTheory: Metadata Tools (7th of 10)
MetadataTheory: Metadata Tools (7th of 10)MetadataTheory: Metadata Tools (7th of 10)
MetadataTheory: Metadata Tools (7th of 10)
 

Dernier

"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 

Dernier (20)

"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 

MetadataTheory: Introduction to Metadata (5th of 10)

  • 2. Structure • History of metadata • Definitions of metadata • Types of metadata • How are metadata created? • Metadata Schemes • Metadata Lifecycle • Metadata Dimensions • Metadata – Learning Object relationships
  • 4. 100+ 1 Definitions • Data of objects which describes information resources or data (Morville & Rosenfeld) • Describe a discipline that fosters the study of data about data (Sen) • A record that consists of structured information about a resource (Al-Khalifa & Davis)
  • 5. 100+ 1 Definitions • Any data which conveys knowledge about an item without requiring examination of the item itself (Haase) • Structured descriptors of information resources, designed to promote information retrieval (Smiraglia)
  • 6. 100+ 1 Definitions • Structured information about an information resource of any media type or format(Caplan) • The term metadata is used differently in different communities. Some use it to refer to machine understandable information, while others use it only for records that describe electronic resources. – In the library environment, metadata is commonly used for any formal scheme of resource description, applying to any type of object, digital or non-digital (NISO)
  • 7. 100+ 1 Definitions • Structured descriptions, stored as computer data, that attempt to describe the essential properties of other discrete computer data objects (Gill)
  • 8. Why bother? • Metadata is recognized as a critically important, and yet increasingly problematic and complex concept with relevance for information objects as they move through time and space, (Gilliland-Swetland, 2004)
  • 9. Broad Types of Metadata • Descriptive -Retrieve information – Book title and author name are descriptive metadata. In Windows Explorer- file name, creation date, last modification date, and more. In Microsoft Word the title, subject, author are such examples
  • 10. Broad Types of Metadata • Processing - Process information – Framemaker's conditional tags are processing metadata because they let authors manipulate the content. The same is true for conditional tags in HATs (Help Authoring Tools)
  • 11. Broad Types of Metadata • Administrative -Manage information – This varies widely, but examples are author name, creation date, last modification date, and "owner".
  • 12. Broad Types of Metadata • Semantic metadata can be defined as – “linking related terms to one another” (Haase, 2004) – “the process of attaching semantic descriptions to Web resources by linking them to a number of classes and properties defined in Ontologies” (Scerri et al., 2005)
  • 13. Specific Types of Metadata • Administrative – Metadata used in managing & administering collections & information resources • Descriptive – Metadata used to identify & describe collections & information resources • Preservation – Metadata related to the preservation management of collections & information resources
  • 14. Specific Types of Metadata • Technical – Metadata related to how a system functions or metadata behaves • Use – Metadata related to the level and type of use of collections and information resources
  • 15.
  • 17. Distinctions Source of metadata Internal External Method of creation Automatic Manual Nature of Metadata Expert NonExpert Status of Metadata Static Dynamic Short-term Long-term Structure of Metadata Structured Unstructured Semantics of Metadata Controlled Uncontrolled Type of Metadata Collection-level Item-level
  • 18. Creation of Metadata • Automated – By commercial search engines – Automatic indexing tools • Manual (Human) – Professional metadata creators – Technical metadata creators – Content creators – Community/subject enthusiasts
  • 19. Metadata “in order” • A Metadata Scheme provides a formal structure designed to identify the knowledge structure of a given discipline and to link that structure to the information of the discipline through the creation of an information system that will assist the identification, discovery, and use of information within that discipline
  • 20.
  • 22. Metadata record & Learning Object relationships
  • 23. One to one? • This might be true for descriptive metadata • But what about having social metadata or contextual metadata in place? Digital Learning object Metadata …is attached to one record of…
  • 24. One to many? Digital Learning object Metadata …can have multiple records of… • For different contexts of learning • From different users (e.g. social metadata) Metadata
  • 25. Many to many? • Different versions (other resolution) that have same metadata for the biggest part • Same resources enriched in other repositories A1 Metadata Metadata A1 v1.2 Copy of A1
  • 26. Fourth Floor Policies & Copyrights for e-Learning Next stop: 5th Floor – Metadata Specifications & Standards 4