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Object models and object representation

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Tutorial at OAI5 (cern.ch/oai5). Abstract: This tutorial will provide a practical overview of current practices in modelling complex or compound digital objects. It will examine some of the key scenarios around creating complex objects and will explore a number of approaches to packaging and transport. Taking research papers, or scholarly works, as an example, the tutorial will explore the different ways in which these, and their descriptive metadata, can be treated as complex objects. Relevant application profiles and metadata formats will be introduced and compared, such as Dublin Core, in particular the DCMI Abstract Model, and MODS, alongside content packaging standards, such as METS MPEG 21 DIDL and IMS CP. Finally, we will consider some future issues and activities that are seeking to address these. The tutorial will be of interest to librarians and technical staff with an interest in metadata or complex objects, their creation, management and re-use.

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CERN workshop on Innovations in Scholarly Communication (OAI5) 18-20 April 2007 Tutorial 4 - Object models and object representation Julie Allinson and Mahendra Mahey Repositories Research Officers, UKOLN, University of Bath with Herbert van de Sompel Los Alamos National Laboratory A centre of expertise in digital information management www.ukoln.ac.uk

2

Order of play 09.00: Overview and introduction to the scenario (Julie Allinson) 09.10: Exploring options for metadata modelling (JA) 09.45: Content packaging for complex objects (Mahendra Mahey and Herbert van de Sompel) 10.30: Break 10.50 Content packaging for complex objects continued (MM) 11.10: Concluding remarks and questions 11.30: Finish

3

Overview and introduction Julie Allinson

4

Unpacking the tutorial title Object models and object representation We inherited this title! Focus is on metadata , simple, compound or complex digital objects and content packaging for interoperability across scholarly communications, with specific emphasis on ( institutional ) repositories

5

Looking at … What are we talking about? Dublin Core, MODS, DIDL, IMS CP, METS and more Why do we need to know about it? Where and when is it used? Who needs to know about it? How do we use it?

6

What is a digital object? Digital objects are anything that might be stored by a digital repository … can be any media or semantic type, e.g. an image, an article, XML metadata record, PDF etc. have (unique) identifier(s) to be considered Resources as per the W3C web architecture they must be identified by a URI convey information, digitally, i.e. they are not abstract concepts, or physical objects these are things that metadata is also used to describe or representations of these could also be called information objects, or information resources (in W3C speak) To be useful for scholarly communication they should have associated metadata metadata can be a digital object in its own right

7

Compound and complex digital objects Aggregations of related digital objects gathered together to form a logical whole. The relationship may be purely structural (e.g. a book and its chapters) Complexity is added when we begin to think beyond the structural, to a richer set of relationships between digital objects and relationships with other kinds of resources (people, organisations, concepts, events etc.) Metadata and/or content packaging help us to express structure and relationships

8

Examples – digital objects A PDF scholarly paper A JPEG image A scientific dataset Each uniquely identified by a URI and accessed from a repository or web server Simple digital objects?

9

Examples – compound objects A book and its chapters XML-encoded chapters and table of contents metadata describing each chapter content packaging wrapper enclosing all of the above An image in different resolutions RAW image file JPEG print size thumbnail

10

Towards a repository ecology – compound objects complex-ified A scholarly paper, with different versions, metadata, metadata describing the agents (author, publisher etc.), references to supplementary materials etc. An issue of an overlay journal built from distributed papers An eScience publication combining text and primary research data, simulations, statistical analysis etc. Examples can become more and more complex, if we want them to be The repository ecology – a way of examining how systems and services interact to support scholarly communication digital objects are flowing around this ecology

11

Scenario for the tutorial A single scenario to capture some of the issues raised here: A conference paper with different versions calling on additional, external, resources re-used in other compound resources See handout

12

Some areas for consideration Boundaries what is and isn’t part of a particular compound digital object what are the relationships within the object and beyond its boundary Context and use This might dictate particular requirements e.g. a preservation service needs access to the full datastream and a specific set of preservation metadata a repository may want only the descriptive metadata and a reference Expertise and local requirements This might dictate the choice of standard used

13

Exploring options for metadata modelling Julie Allinson

14

Overview basic metadata semantics a metadata framework for interoperability syntax vocabularies application profiles and application models metadata for compound / complex objects the scenario

15

Metadata : what? Data about data? … this isn’t very helpful “ Metadata consists of statements we make about resources to help us find, identify, use, manage, evaluate, and preserve them”. (Marty Kurth, tutorial on DC Semantics, 2006 http://dc2006. ucol . mx /program. htm )

16

Why? Without metadata, data is useless ‘ orange’ – a fruit, a company, a colour, a password, an identifier, arbitrary text string? ‘ 01234567890’ – a telephone number, an identifier? non-text resources e.g. an image Functions, a selection resource discovery (oai-pmh, rss, z39.50) identifying and differentiating resources contextual information authenticating and evaluating sharing information geographic locations metadata: Joan Miro ‘Chicago’, detail describes

17

When? Where? Who? Metadata is everywhere and is used all the time in business, in education, in libraries, on the Internet … for local purposes and for wider interoperability there are many different ‘types’ of metadata descriptive metadata rights metadata administrative metadata etc.

18

How? metadata semantics … metadata describes resources these resources can be digital , physical or abstract things as a general principle metadata describes one, and only one, resource (the 1:1 rule) metadata descriptions contain statements about the resource a statement consists of a metadata property (aka, an element ) and a value ( a property/value pair )

19

Metadata semantics diagram this is very basic! … over-simplified from the Dublin Core Abstract Model http:// dublincore .org/documents/abstract-model/ value property resource description 1 0..n 1..n 1 describes statement statement statement statement

20

Example, based on our scenario A conference paper [the resource] with the title [property] ‘Signed metadata : method and application’ [value] and the resource type [property] ‘Text’ or ‘ConferencePaper’ [value] MODS metadata: <titleInfo> <title>Signed metadata</title> <subTitle>method and application</subTitle> </titleInfo> <typeOfResource>Text</typeOfResource> Dublin Core in XHTML: <meta name=&quot;DC.title&quot; content=“Signed metadata : method and application&quot; /> <meta name=&quot;DC.type&quot; content=“ConferencePaper&quot; />

21

Metadata example diagram metadata value vocabularies provide standard vocabularies for expressing specific values metadata property vocabularies provide standard vocabularies of metadata properties value property 1 0..n 1..n a conference paper resource description 1 describes statement statement statement statement type or title ConferencePaper Text Signed metadata : method and application

22

Hang on, there’s more … Metadata vocabularies are only one piece of the jigsaw For exchange, we also need machine-readable Metadata Formats Application Profiles draw together properties from one or more namespaces, for a particular purpose, Abstract Models provide a model, or a set of rules for how descriptions are constructed (this may be embedded in the metadata standard itself) an abstract model can act as a mechanism for mapping between syntaxes together these give us the foundation for a metadata framework

23

A metadata framework? Abstract Model Metadata Vocabularies Application profiles Metadata formats properties values Application models XML, RDF/XML, XHTML UK LOM Core, CanCore, RSLP Schema, AGRIS, Scholarly Works AP, NDLTD (theses), DDF-MXD, DiVA DCMI Abstract Model Embedded data models conforms to DCMES, MODS, LOM, ISO 19115, e-GMS, PREMIS, FOAF DCMI Type, DDC, LCSH, TGN, MARC Relator Codes

24

Taking the next metadata step – from ‘flat’ to ‘modelled’ traditionally metadata has been seen a largely ‘flat’ set of metadata elements describing a single resource (e.g. a scholarly paper) but often the metadata is implicitly describing other resources (e.g. an author) but without explicitly recognising these as resources ‘ flat’ metadata cannot adequately describe multiple resources and the relationships between them nor can it group together descriptions of resources that are closely related

25

Some of the possible resources and relationships in our scenario publisher related materials version 1.0 electronic book image version 2.0 published proceedings pdf pdf 0..n is published by author author 0..n is created by 0..n see also 0..n has version 0..n is part of 0..n has part 0..n has format

26

Metadata is not flat! in Dublin Core the Dublin Core Abstract Model introduces support for ‘description sets’ it is for application profile developers to define the relationships they want to support in MODS the < modsCollection > wrapper element can be used to group < mods > descriptions < relatedItem > facilitates the capture of hasPart, isPartOf and seeAlso type relationships

27

Dublin Core as a case study The Dublin Core Abstract Model attempts to make explicit the model that underpins Dublin Core the DCAM starts from the central notion of a ‘description set’ a set of ‘descriptions’ about a group of related ‘resources’ where each description is about a single ‘resource’ (the 1:1 rule) and where each ‘description’ comprises property/value pair ‘statements’ ‘ description sets’ are instantiated as ‘records’ (e.g. using XML, RDF/XML or XHTML) for the purpose of exchanging information between networked systems Slide courtesy of Andy Powell, Eduserv Foundation http://www.slideshare.net/eduservfoundation/the-dublin-core-abstract-model-a-packaging-standard

28

Dublin Core Abstract Model summary record (encoded as HTML, XML or RDF/XML) description set description (about a resource (URI)) statement property (URI) value (URI) vocabulary encoding scheme (URI) value string language (e.g. en-GB) Slide courtesy of Andy Powell, Eduserv Foundation http://www.slideshare.net/eduservfoundation/the-dublin-core-abstract-model-a-packaging-standard syntax encoding scheme (URI)

29

Dublin Core Abstract Model contd. the DCAM is open about the relationships between resources described in a description set whole / part (book, chapter, section, page) physical / digital (painting / digitised image) object / human (document / author) conceptual / physical (work / item) the relationships between things must be articulated in an ‘application model’ and captured using the properties specified in an ‘application profile’ Slide courtesy of Andy Powell, Eduserv Foundation http://www.slideshare.net/eduservfoundation/the-dublin-core-abstract-model-a-packaging-standard

30

Scholarly Works Application Profile Also known as the Eprints Application Profile the application model says what things are being described the set of entities that we want to describe and the key relationships between those entities each entity and its relationships are described using an agreed set of properties the application profile describes these properties model vs. Model - the application model and the DCMI Abstract Model are completely separate the DCMI Abstract Model says what the descriptions ‘look’ like

31

FRBR for eprints FRBR (Functional Requirements for Bibliographic Records) provides the basis for our model it’s a model for the entities that bibliographic records describe but we’ve applied it to scholarly works FRBR is a useful model for scholarly works because it allows us to answer questions like: what is the URL of the most appropriate copy (a FRBR item) of the PDF format (a manifestation) of the pre-print version (a expression) for this eprint (the work)? are these two copies related? if so, how?

32

the application model ScholarlyWork Expression 0..∞ isExpressedAs Manifestation isManifestedAs 0..∞ Copy isAvailableAs 0..∞ isPublishedBy 0..∞ 0..∞ isEditedBy 0..∞ isCreatedBy 0..∞ isFundedBy isSupervisedBy AffiliatedInstitution Agent

33

vertical vs. horizontal relationships ScholarlyWork Expression isExpressedAs Expression isExpressedAs Manifestation Manifestation isManifestedAs isManifestedAs hasFormat hasVersion hasTranslation hasAdaptation

34

Example properties ScholarlyWork: title subject abstract affiliated institution identifier Agent: name type of agent date of birth mailbox homepage identifier Expression: title date available status version number language genre / type copyright holder bibliographic citation identifier Manifestation: format date modified Copy: date available access rights licence identifier

35

Considering the scenario in DC

36

Multiple expressions, manifestations and copies scholarly work (work) version (expression) format (manifestation) copy (item) signed metadata doc institutional repository copy published proceedings no digital copy available (metadata only) e-book copy institutional repository copy pdf conference repository copy institutional repository copy pdf xml print copy pdf2 institutional repository copy Accepted MS Version 2.0 Author’s Submitted MS Version 1.0 Translation (Spanish)

37

Boundaries of this profile created to fulfil a specific set of requirements, chiefly richer metadata set & consistent metadata unambiguous method of identifying full-text(s) versions & most appropriate copy support identification of open access materials identification of the research funder and project code limited support for part/whole relationships and for related materials but it is modular and extensible and it fits well with the semantic web implementation with throw up new requirements

38

MODS overview The Metadata Object Description Schema (MODS) XML schema is intended to be able to carry selected data from existing MARC 21 records and to enable the creation of original resource description records includes a subset of MARC fields and uses language-based tags rather than numeric ones maintained by the Network Development and MARC Standards Office the Library of Congress with input from users a range of mappings and stylesheets are available

39

Considering the scenario in MODS <mods> records for each version <relatedItem> sub-element used within a <mods> description for see also, has part, is part of relationships published proceedings e-book copy conference repository copy Accepted MS Version 2.0 Author’s Submitted MS Version 1.0 Translation (Spanish) <modsCollection> can be used to wrap together several <mods> records

40

MODS observations MODS has more built-in richness than Dublin Core it is closely aligned with the library community and MARC, yet is simpler and more user friendly than MARC it has some support for creating collections, or sets and for describing related materials (within a single metadata description) but, it doesn’t have an ‘abstract model’ so is more difficult to map to other syntaxes and doesn’t support the extensibility and flexibility of application profiles and the DCAM and is less interoperable with semantic web approaches

41

Other approaches Danish DDF-MXD format created by DEFF to support the DDF - Danish Research Database – the national CRIS and the exchange of metadata Metadata model based on CERIF Common European Research Information Format designed to describe a much richer set of information captured by Research Information Systems

42

Entities described by DDF-MXD Research database with repository Persons (researchers and their competences) Organisations (universities, institutes, labs etc.) Projects (research and development projects) Events (conferences, workshops etc.) Documents (books, articles, eprints, slide shows, software, patents, data sets, simulations, learning objects, etc. etc.) Slide courtesy of Mogens Sandfaer, Tech nical Knowledge Center of Denmark

43

Data model Slide courtesy of Mogens Sandfaer, Tech nical Knowledge Center of Denmark An article in the journal by the author presented at the conference published by from the project

44

Thoughts about metadata Metadata is an essential element of the scholarly communications chain there are a number of existing property and value vocabularies application profiles can be developed for specific communities or purposes, using properties from existing vocabularies to facilitate interoperability, in a machine-to-machine context, metadata must be expressed in an encoding format/syntax such as XML adhering to an abstract model helps achieve understanding and agreement and provides a mechanism for mapping between syntaxes

45

Towards content packaging Metadata is not limited to describing flat, single-entity items Metadata models and application profiles can be used to describe complex/compound objects and can offer some degree of content packaging ‘by reference’ (i.e. by providing a URI) Content packaging standards are another mechanism for gathering together multiple metadata records alongside the digital objects they describe either ‘by reference’ or ‘by value’ (i.e. by embedding the object within the package)

46

Content packaging standards Mahendra Mahey and Herbert van de Sompel

47

Final thoughts … Interoperability is achievable But communities need to work together Standard metadata formats, application profiles, abstract models and content packaging standards really can help And they can also interoperate with each other For example, the RAMLET project <ieeeltsc.org/wg11CMI/ramlet/> Particularly if we agree things between us

48

Final, final thoughts Don’t underestimate local expertise Don’t forget that our world is in a constant state of flux The future will see scholarly communication happening in an increasingly seamless and joined up way For example the OAI-ORE project <www.openarchives.org/ore> Hopefully!

More Related Content

Object models and object representation

  • 1. CERN workshop on Innovations in Scholarly Communication (OAI5) 18-20 April 2007 Tutorial 4 - Object models and object representation Julie Allinson and Mahendra Mahey Repositories Research Officers, UKOLN, University of Bath with Herbert van de Sompel Los Alamos National Laboratory A centre of expertise in digital information management www.ukoln.ac.uk
  • 2. Order of play 09.00: Overview and introduction to the scenario (Julie Allinson) 09.10: Exploring options for metadata modelling (JA) 09.45: Content packaging for complex objects (Mahendra Mahey and Herbert van de Sompel) 10.30: Break 10.50 Content packaging for complex objects continued (MM) 11.10: Concluding remarks and questions 11.30: Finish
  • 3. Overview and introduction Julie Allinson
  • 4. Unpacking the tutorial title Object models and object representation We inherited this title! Focus is on metadata , simple, compound or complex digital objects and content packaging for interoperability across scholarly communications, with specific emphasis on ( institutional ) repositories
  • 5. Looking at … What are we talking about? Dublin Core, MODS, DIDL, IMS CP, METS and more Why do we need to know about it? Where and when is it used? Who needs to know about it? How do we use it?
  • 6. What is a digital object? Digital objects are anything that might be stored by a digital repository … can be any media or semantic type, e.g. an image, an article, XML metadata record, PDF etc. have (unique) identifier(s) to be considered Resources as per the W3C web architecture they must be identified by a URI convey information, digitally, i.e. they are not abstract concepts, or physical objects these are things that metadata is also used to describe or representations of these could also be called information objects, or information resources (in W3C speak) To be useful for scholarly communication they should have associated metadata metadata can be a digital object in its own right
  • 7. Compound and complex digital objects Aggregations of related digital objects gathered together to form a logical whole. The relationship may be purely structural (e.g. a book and its chapters) Complexity is added when we begin to think beyond the structural, to a richer set of relationships between digital objects and relationships with other kinds of resources (people, organisations, concepts, events etc.) Metadata and/or content packaging help us to express structure and relationships
  • 8. Examples – digital objects A PDF scholarly paper A JPEG image A scientific dataset Each uniquely identified by a URI and accessed from a repository or web server Simple digital objects?
  • 9. Examples – compound objects A book and its chapters XML-encoded chapters and table of contents metadata describing each chapter content packaging wrapper enclosing all of the above An image in different resolutions RAW image file JPEG print size thumbnail
  • 10. Towards a repository ecology – compound objects complex-ified A scholarly paper, with different versions, metadata, metadata describing the agents (author, publisher etc.), references to supplementary materials etc. An issue of an overlay journal built from distributed papers An eScience publication combining text and primary research data, simulations, statistical analysis etc. Examples can become more and more complex, if we want them to be The repository ecology – a way of examining how systems and services interact to support scholarly communication digital objects are flowing around this ecology
  • 11. Scenario for the tutorial A single scenario to capture some of the issues raised here: A conference paper with different versions calling on additional, external, resources re-used in other compound resources See handout
  • 12. Some areas for consideration Boundaries what is and isn’t part of a particular compound digital object what are the relationships within the object and beyond its boundary Context and use This might dictate particular requirements e.g. a preservation service needs access to the full datastream and a specific set of preservation metadata a repository may want only the descriptive metadata and a reference Expertise and local requirements This might dictate the choice of standard used
  • 13. Exploring options for metadata modelling Julie Allinson
  • 14. Overview basic metadata semantics a metadata framework for interoperability syntax vocabularies application profiles and application models metadata for compound / complex objects the scenario
  • 15. Metadata : what? Data about data? … this isn’t very helpful “ Metadata consists of statements we make about resources to help us find, identify, use, manage, evaluate, and preserve them”. (Marty Kurth, tutorial on DC Semantics, 2006 http://dc2006. ucol . mx /program. htm )
  • 16. Why? Without metadata, data is useless ‘ orange’ – a fruit, a company, a colour, a password, an identifier, arbitrary text string? ‘ 01234567890’ – a telephone number, an identifier? non-text resources e.g. an image Functions, a selection resource discovery (oai-pmh, rss, z39.50) identifying and differentiating resources contextual information authenticating and evaluating sharing information geographic locations metadata: Joan Miro ‘Chicago’, detail describes
  • 17. When? Where? Who? Metadata is everywhere and is used all the time in business, in education, in libraries, on the Internet … for local purposes and for wider interoperability there are many different ‘types’ of metadata descriptive metadata rights metadata administrative metadata etc.
  • 18. How? metadata semantics … metadata describes resources these resources can be digital , physical or abstract things as a general principle metadata describes one, and only one, resource (the 1:1 rule) metadata descriptions contain statements about the resource a statement consists of a metadata property (aka, an element ) and a value ( a property/value pair )
  • 19. Metadata semantics diagram this is very basic! … over-simplified from the Dublin Core Abstract Model http:// dublincore .org/documents/abstract-model/ value property resource description 1 0..n 1..n 1 describes statement statement statement statement
  • 20. Example, based on our scenario A conference paper [the resource] with the title [property] ‘Signed metadata : method and application’ [value] and the resource type [property] ‘Text’ or ‘ConferencePaper’ [value] MODS metadata: <titleInfo> <title>Signed metadata</title> <subTitle>method and application</subTitle> </titleInfo> <typeOfResource>Text</typeOfResource> Dublin Core in XHTML: <meta name=&quot;DC.title&quot; content=“Signed metadata : method and application&quot; /> <meta name=&quot;DC.type&quot; content=“ConferencePaper&quot; />
  • 21. Metadata example diagram metadata value vocabularies provide standard vocabularies for expressing specific values metadata property vocabularies provide standard vocabularies of metadata properties value property 1 0..n 1..n a conference paper resource description 1 describes statement statement statement statement type or title ConferencePaper Text Signed metadata : method and application
  • 22. Hang on, there’s more … Metadata vocabularies are only one piece of the jigsaw For exchange, we also need machine-readable Metadata Formats Application Profiles draw together properties from one or more namespaces, for a particular purpose, Abstract Models provide a model, or a set of rules for how descriptions are constructed (this may be embedded in the metadata standard itself) an abstract model can act as a mechanism for mapping between syntaxes together these give us the foundation for a metadata framework
  • 23. A metadata framework? Abstract Model Metadata Vocabularies Application profiles Metadata formats properties values Application models XML, RDF/XML, XHTML UK LOM Core, CanCore, RSLP Schema, AGRIS, Scholarly Works AP, NDLTD (theses), DDF-MXD, DiVA DCMI Abstract Model Embedded data models conforms to DCMES, MODS, LOM, ISO 19115, e-GMS, PREMIS, FOAF DCMI Type, DDC, LCSH, TGN, MARC Relator Codes
  • 24. Taking the next metadata step – from ‘flat’ to ‘modelled’ traditionally metadata has been seen a largely ‘flat’ set of metadata elements describing a single resource (e.g. a scholarly paper) but often the metadata is implicitly describing other resources (e.g. an author) but without explicitly recognising these as resources ‘ flat’ metadata cannot adequately describe multiple resources and the relationships between them nor can it group together descriptions of resources that are closely related
  • 25. Some of the possible resources and relationships in our scenario publisher related materials version 1.0 electronic book image version 2.0 published proceedings pdf pdf 0..n is published by author author 0..n is created by 0..n see also 0..n has version 0..n is part of 0..n has part 0..n has format
  • 26. Metadata is not flat! in Dublin Core the Dublin Core Abstract Model introduces support for ‘description sets’ it is for application profile developers to define the relationships they want to support in MODS the < modsCollection > wrapper element can be used to group < mods > descriptions < relatedItem > facilitates the capture of hasPart, isPartOf and seeAlso type relationships
  • 27. Dublin Core as a case study The Dublin Core Abstract Model attempts to make explicit the model that underpins Dublin Core the DCAM starts from the central notion of a ‘description set’ a set of ‘descriptions’ about a group of related ‘resources’ where each description is about a single ‘resource’ (the 1:1 rule) and where each ‘description’ comprises property/value pair ‘statements’ ‘ description sets’ are instantiated as ‘records’ (e.g. using XML, RDF/XML or XHTML) for the purpose of exchanging information between networked systems Slide courtesy of Andy Powell, Eduserv Foundation http://www.slideshare.net/eduservfoundation/the-dublin-core-abstract-model-a-packaging-standard
  • 28. Dublin Core Abstract Model summary record (encoded as HTML, XML or RDF/XML) description set description (about a resource (URI)) statement property (URI) value (URI) vocabulary encoding scheme (URI) value string language (e.g. en-GB) Slide courtesy of Andy Powell, Eduserv Foundation http://www.slideshare.net/eduservfoundation/the-dublin-core-abstract-model-a-packaging-standard syntax encoding scheme (URI)
  • 29. Dublin Core Abstract Model contd. the DCAM is open about the relationships between resources described in a description set whole / part (book, chapter, section, page) physical / digital (painting / digitised image) object / human (document / author) conceptual / physical (work / item) the relationships between things must be articulated in an ‘application model’ and captured using the properties specified in an ‘application profile’ Slide courtesy of Andy Powell, Eduserv Foundation http://www.slideshare.net/eduservfoundation/the-dublin-core-abstract-model-a-packaging-standard
  • 30. Scholarly Works Application Profile Also known as the Eprints Application Profile the application model says what things are being described the set of entities that we want to describe and the key relationships between those entities each entity and its relationships are described using an agreed set of properties the application profile describes these properties model vs. Model - the application model and the DCMI Abstract Model are completely separate the DCMI Abstract Model says what the descriptions ‘look’ like
  • 31. FRBR for eprints FRBR (Functional Requirements for Bibliographic Records) provides the basis for our model it’s a model for the entities that bibliographic records describe but we’ve applied it to scholarly works FRBR is a useful model for scholarly works because it allows us to answer questions like: what is the URL of the most appropriate copy (a FRBR item) of the PDF format (a manifestation) of the pre-print version (a expression) for this eprint (the work)? are these two copies related? if so, how?
  • 32. the application model ScholarlyWork Expression 0..∞ isExpressedAs Manifestation isManifestedAs 0..∞ Copy isAvailableAs 0..∞ isPublishedBy 0..∞ 0..∞ isEditedBy 0..∞ isCreatedBy 0..∞ isFundedBy isSupervisedBy AffiliatedInstitution Agent
  • 33. vertical vs. horizontal relationships ScholarlyWork Expression isExpressedAs Expression isExpressedAs Manifestation Manifestation isManifestedAs isManifestedAs hasFormat hasVersion hasTranslation hasAdaptation
  • 34. Example properties ScholarlyWork: title subject abstract affiliated institution identifier Agent: name type of agent date of birth mailbox homepage identifier Expression: title date available status version number language genre / type copyright holder bibliographic citation identifier Manifestation: format date modified Copy: date available access rights licence identifier
  • 36. Multiple expressions, manifestations and copies scholarly work (work) version (expression) format (manifestation) copy (item) signed metadata doc institutional repository copy published proceedings no digital copy available (metadata only) e-book copy institutional repository copy pdf conference repository copy institutional repository copy pdf xml print copy pdf2 institutional repository copy Accepted MS Version 2.0 Author’s Submitted MS Version 1.0 Translation (Spanish)
  • 37. Boundaries of this profile created to fulfil a specific set of requirements, chiefly richer metadata set & consistent metadata unambiguous method of identifying full-text(s) versions & most appropriate copy support identification of open access materials identification of the research funder and project code limited support for part/whole relationships and for related materials but it is modular and extensible and it fits well with the semantic web implementation with throw up new requirements
  • 38. MODS overview The Metadata Object Description Schema (MODS) XML schema is intended to be able to carry selected data from existing MARC 21 records and to enable the creation of original resource description records includes a subset of MARC fields and uses language-based tags rather than numeric ones maintained by the Network Development and MARC Standards Office the Library of Congress with input from users a range of mappings and stylesheets are available
  • 39. Considering the scenario in MODS <mods> records for each version <relatedItem> sub-element used within a <mods> description for see also, has part, is part of relationships published proceedings e-book copy conference repository copy Accepted MS Version 2.0 Author’s Submitted MS Version 1.0 Translation (Spanish) <modsCollection> can be used to wrap together several <mods> records
  • 40. MODS observations MODS has more built-in richness than Dublin Core it is closely aligned with the library community and MARC, yet is simpler and more user friendly than MARC it has some support for creating collections, or sets and for describing related materials (within a single metadata description) but, it doesn’t have an ‘abstract model’ so is more difficult to map to other syntaxes and doesn’t support the extensibility and flexibility of application profiles and the DCAM and is less interoperable with semantic web approaches
  • 41. Other approaches Danish DDF-MXD format created by DEFF to support the DDF - Danish Research Database – the national CRIS and the exchange of metadata Metadata model based on CERIF Common European Research Information Format designed to describe a much richer set of information captured by Research Information Systems
  • 42. Entities described by DDF-MXD Research database with repository Persons (researchers and their competences) Organisations (universities, institutes, labs etc.) Projects (research and development projects) Events (conferences, workshops etc.) Documents (books, articles, eprints, slide shows, software, patents, data sets, simulations, learning objects, etc. etc.) Slide courtesy of Mogens Sandfaer, Tech nical Knowledge Center of Denmark
  • 43. Data model Slide courtesy of Mogens Sandfaer, Tech nical Knowledge Center of Denmark An article in the journal by the author presented at the conference published by from the project
  • 44. Thoughts about metadata Metadata is an essential element of the scholarly communications chain there are a number of existing property and value vocabularies application profiles can be developed for specific communities or purposes, using properties from existing vocabularies to facilitate interoperability, in a machine-to-machine context, metadata must be expressed in an encoding format/syntax such as XML adhering to an abstract model helps achieve understanding and agreement and provides a mechanism for mapping between syntaxes
  • 45. Towards content packaging Metadata is not limited to describing flat, single-entity items Metadata models and application profiles can be used to describe complex/compound objects and can offer some degree of content packaging ‘by reference’ (i.e. by providing a URI) Content packaging standards are another mechanism for gathering together multiple metadata records alongside the digital objects they describe either ‘by reference’ or ‘by value’ (i.e. by embedding the object within the package)
  • 46. Content packaging standards Mahendra Mahey and Herbert van de Sompel
  • 47. Final thoughts … Interoperability is achievable But communities need to work together Standard metadata formats, application profiles, abstract models and content packaging standards really can help And they can also interoperate with each other For example, the RAMLET project <ieeeltsc.org/wg11CMI/ramlet/> Particularly if we agree things between us
  • 48. Final, final thoughts Don’t underestimate local expertise Don’t forget that our world is in a constant state of flux The future will see scholarly communication happening in an increasingly seamless and joined up way For example the OAI-ORE project <www.openarchives.org/ore> Hopefully!