SlideShare une entreprise Scribd logo
1  sur  35
Metadata 101
   Introduction
   What is metadata
   Types of metadata
   Examples of metadata usage
   Metadata for everyone!
   Questions and wrap-up




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
                                While programming languages are the
                                   engines which run the web and the software
                                   we use, metadata is akin to street signs or
                                   maps – communicating to people, software,
                                   and other computer languages.

                                This communication can be information about
                                   the content (descriptive), about its technical
                                   specifications or creation.

                                Metadata is truly everywhere – often
                                   hidden behind the tools and online products
                                   we use.


Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
APIs are programming
                                                                 interfaces which
                                                                 facilitate communication




                                         MARC can be exported as XML and Non MARC metadata is often
                                         written in XML, a flexible programming language.




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
  Types of metadata:
        Descriptive
        Structural
        Administrative


        Many forms of metadata include elements of each of
         these; however it is dependent upon the schema.
        A schema is a set of rules covering the elements and
         requirements for coding. Examples of schemas include
         Dublin Core, TEI, EAD, and others.


Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101                                                                  METS is a
                                                                                 standard which
                                                                                 includes
                                                                                 administrative,
                                                                                 descriptive &
                                                                                 structural
                                                                                 metadata.




                                                          Karen Coyle 2004,
                                                          http://www.kcoyle.net/meta_purpose.html
Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
    Descriptive metadata describes a resource for purposes such
     as discovery and identification.
    It can include elements such as title, abstract, author, and
     keywords. Keywords can include tags (generally uncontrolled
     vocabulary) and/or controlled vocabulary such as LC subject
     headings. Keywords is probably one of the most used terms
     on the web and its meaning is context based.




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
   Examples of descriptive metadata include
         MARC bibliographic records;
         Tags, titles, and notes in flickr , del.ici.ous, and other social
            networking sites;
           metadata embedded in the code of websites;
           and other tagging projects such as steve.museum, OCLC
            worldcat.org, LibraryThing, some digital library projects;
           … really any website where a user (or authorized user, such as a
            cataloger or member participant) can create or edit description,
            keywords/tags, title, creator information and more.
           Let’s look at just a few of these focusing on the descriptive
            metadata…


Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
       A few examples:
                                                          A MARC bib record from the
                                                          OPAC view of a GIL catalog.




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
       The metadata generated by catalogers within a
        MARC bibliographic record is considered descriptive
        metadata. It provides information about the item, from
        its title and creator to its format to appropriate LCSH
        or Sears subject headings (controlled vocabulary
        keywords) assigned by the cataloger.
       How that metadata is interpreted is dependent upon
        the software or programming language.




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
  Many digital projects from databases to websites allow
   (and even require) the cataloger to create or edit
   administrative or structural metadata. Archivists’ Toolkit is
   one software used by catalogers which creates all types
   of metadata.
  Metadata from these databases can often be cross-
   walked. An example of cross-walking is creating a MARC
   record from a non-MARC format and then importing the
   derived record into a MARC based library catalog, such
   as GIL.


Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
      Let's look at one simple example of cross-walking
      For the Electronic Theses & Dissertations at UGA, an
         appropriately coded metadata record from a MySQL
         database can be translated into a MARC record and
         loaded into a Voyager catalog, with the end result
         being an acceptable MARC bibliographic record.




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Note: The MARC
designated fields.

Cataloger’s workform
interface to the
MySQL db.
Note: The
indicators and
field tags are
populated.
The record
Metadata 101                                       imported into GIL.




      Robin Fay, Univ. of Georgia, Metadata 101,
      robinfay.net
Metadata 101
                                               Although catalogers create, edit and
                                                use metadata everyday, metadata
                                                goes far beyond the library catalog
                                                or even the library website.
                                               Metadata generation and editing
                                                beyond the library catalog is a
                                                common place activity for many
                                                internet users these days, including
                                                you! If you are not creating metadata
                                                on the Internet, you are using it to
                                                search google and other search
                                                engines.
Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Web designers also create
                                                          metadata to describe the website
   Metadata 101                                           and its content. LC Subject headings
                                                          can be coded into the meta tags.
                                                          Many websites now carry rights
                                                          metadata (administrative).




Metadata for a website is either created by the user when building the website or hand-
coded into the HTML. Some search engines use these keywords to varying degrees.

Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101

                                                          A steve museum record.
                                                          Steve.museum is open to
                                                          art educators and others;
                                                          membership is required
                                                          to tag. This is user
                                                          generated metadata.




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Worldcat.org offers both user
                                     contributed metadata (tags) and
                                     authority contributed controlled
                                     metadata (subject headings,
                                     authorized forms of names &
                                     entities, etc.)




Robin Fay, Univ. of Georgia, Metadata 101,
robinfay.net
Library thing – user
                                             generated
                                             cataloging




Robin Fay, Univ. of Georgia, Metadata 101,
robinfay.net
Metadata 101
                                                          Microsoft has been
                                                          adding metadata to the
                                                          its documents for years;
                                                          often based upon which
                                                          user created the
                                                          document. Newer
                                                          versions allow this
                                                          information to be
                                                          changed more easily.
                                                          PDF creators also allow
                                                          the creation and editing
                                                          of metadata.

Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
 Structural metadata defines the
  relationship between whole and
  parts.
 Structural metadata can also be
  used for navigational purposes.
  Structural metadata would include
  links to related files.




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Descriptive
                                                metadata




                                             Administrative &
                                                Structural




Robin Fay, Univ. of Georgia, Metadata 101,
robinfay.net
Metadata 101
      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.
      Subsets of administrative metadata exist but two
       commons ones are
             Rights management metadata, which deals with
              intellectual property rights,
             and preservation metadata, which contains information
              needed to archive and preserve a resource.


Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Descriptive
   metadata




Administrative
 metadata
Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Many different tools are
                                                           available for users to create
  Metadata 101                                            metadata – help for flickr users




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
                                                           Note: The
                                                           association
                                                           of tagging
                                                          as metadata




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
DC Metadata
                                                          generator -- help
                                                          for web editors &
                                                              designers


                                                          Other fields in the
                                                          generator include
                                                          Date of coverage,
                                                          copyright & format.




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
   We can rate, tag -- add keywords (even use
    controlled vocabulary in some cases), assign or flag for
    appropriate audience level, define genre, and more.
   User generated metadata is generally created
    through an interface on a website and primarily
    descriptive; however, many sites are beginning to
    allow and encourage rights statements (administrative)
    as well as other elements of administrative and
    structural metadata.



Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
 Concerns and thoughts
   Much of the current discussion about metadata
    (tagging/keywords, controlled headings vs. non-controlled
    headings, OCLC Community Expert Experiment, etc.) centers
    upon the potential differences in quality of user generated
    metadata.
   As with any user group, there are varying levels of
    expertise and understanding of the subject.
   Metadata can be good or bad.
   Keywords have been terribly misused in the SEO (Search
    Engine Optimization) community – leading not only to false
    results when searching but also spam and phishing attempts

   Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
      Many collaborative websites (social networking) such
       as Wikipedia rely on the collective expertise of the
       group -- the “true” or accurate information will rise to
       the top.
      Untrue or irrelevant information will either sink to the
       bottom (fewer hits, bad reviews, marked for review,
       etc.) or will be revised by more expert opinions. For
       the most part, this works fairly well; however, there
       are drawbacks and quality control is an ongoing issue.



Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101
 Taking the human element out (beyond the
  programmers who wrote the scripts for harvesting)
  machine derived metadata offers the opportunity to
  create large chunks of metadata with minimal human
  effort
 However, machine derived metadata may not be able
  to distinguish subtleties perceivable to the human eye
  and mind – at least, until AI is truly viable
 Duplicates and erroneous information may occur



              Robin Fay, Univ. of Georgia, Metadata 101,
              robinfay.net
Metadata 101
   Metadata to the world !
   All of the metadata we (the world) creates is mined in
    some form or another. Search engines, document
    processing software, library catalogs, websites, digital
    portals, even our desktop computer’s indexing is mining our
    information
   The Web provides almost endless possibilities to share
    resources and digital objects.
   Library catalogs mirror general practices on the web; as
    more sites not only allow users to create metadata, sites
    are beginning to create user created resources, too.


Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
Metadata 101: Wrap-up
 Types of metadata:
       Descriptive
       Structural
       Administrative


       Many forms of metadata include elements of each of
        these; however it is dependent upon the schema.
       A schema is a set of rules covering the elements and
        requirements for coding. DC (Dublin Core) is one example
        of a metadata schema.


Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
 All presentation materials will be available at
  http://robinfay.net/site/content/metadata-101-presentation
 Links @
  http://delicious.com/georgiawebgurl/metadata_presentation
 Questions?




Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net

Contenu connexe

Tendances

أحدث 10 تقنيات فى مجال المكتبات
أحدث 10 تقنيات فى مجال المكتباتأحدث 10 تقنيات فى مجال المكتبات
أحدث 10 تقنيات فى مجال المكتباتAhmed Al-ajamy
 
Application of rfid technology in libraries
Application of rfid technology in librariesApplication of rfid technology in libraries
Application of rfid technology in librariesShivashish Verma
 
عرض مقارن لمواصفة مؤشرات الاداء في المكتبات العامة
عرض مقارن لمواصفة مؤشرات الاداء  في المكتبات العامةعرض مقارن لمواصفة مؤشرات الاداء  في المكتبات العامة
عرض مقارن لمواصفة مؤشرات الاداء في المكتبات العامةosama gharieb
 
أهم حقول تسجيلة مارك 21 الببليوجرافية / إعداد محمد عبدالحميد معوض
أهم حقول تسجيلة مارك 21 الببليوجرافية / إعداد محمد عبدالحميد معوضأهم حقول تسجيلة مارك 21 الببليوجرافية / إعداد محمد عبدالحميد معوض
أهم حقول تسجيلة مارك 21 الببليوجرافية / إعداد محمد عبدالحميد معوضMuhammad Muawwad
 
失敗しない 3 次元 CAD 選びのポイントと Inventor を活用することで出来る作業の効率化
失敗しない 3 次元 CAD 選びのポイントと Inventor を活用することで出来る作業の効率化失敗しない 3 次元 CAD 選びのポイントと Inventor を活用することで出来る作業の効率化
失敗しない 3 次元 CAD 選びのポイントと Inventor を活用することで出来る作業の効率化Teruki Obara
 
METS(Metadata Encoding and Transmission Standard )
METS(Metadata Encoding and Transmission Standard )METS(Metadata Encoding and Transmission Standard )
METS(Metadata Encoding and Transmission Standard )Manu K M
 
WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.
WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.
WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.`Shweta Bhavsar
 
مقارنة وصف المصادر وإتاحتها مع قواعد الفهرسة الأنجلو أمريكية / إعداد محمد عب...
مقارنة وصف المصادر وإتاحتها مع قواعد الفهرسة الأنجلو أمريكية  / إعداد محمد عب...مقارنة وصف المصادر وإتاحتها مع قواعد الفهرسة الأنجلو أمريكية  / إعداد محمد عب...
مقارنة وصف المصادر وإتاحتها مع قواعد الفهرسة الأنجلو أمريكية / إعداد محمد عب...Muhammad Muawwad
 
معيار وصف المصادر الجديد في المكتبات و خارجها / ترجمة محمد عبد الحميد معوض
 معيار وصف المصادر الجديد في المكتبات و خارجها / ترجمة محمد عبد الحميد معوض معيار وصف المصادر الجديد في المكتبات و خارجها / ترجمة محمد عبد الحميد معوض
معيار وصف المصادر الجديد في المكتبات و خارجها / ترجمة محمد عبد الحميد معوضMuhammad Muawwad
 
مقدمة إلى وصف المصادر وإتاحتها / إعداد محمد عبدالحميد معوض
مقدمة إلى وصف المصادر وإتاحتها / إعداد محمد عبدالحميد معوضمقدمة إلى وصف المصادر وإتاحتها / إعداد محمد عبدالحميد معوض
مقدمة إلى وصف المصادر وإتاحتها / إعداد محمد عبدالحميد معوضMuhammad Muawwad
 
RDA Intro - AACR2 / MARC> RDA / FRBR / Semantic Web
RDA Intro - AACR2 / MARC> RDA / FRBR / Semantic WebRDA Intro - AACR2 / MARC> RDA / FRBR / Semantic Web
RDA Intro - AACR2 / MARC> RDA / FRBR / Semantic Webrobin fay
 
Digital library impacts and issues
Digital library impacts and issuesDigital library impacts and issues
Digital library impacts and issuesaracelie estalin
 
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF WEB 2.0 TOOLS IN DESIGNING...
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF  WEB 2.0 TOOLS IN DESIGNING...COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF  WEB 2.0 TOOLS IN DESIGNING...
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF WEB 2.0 TOOLS IN DESIGNING...Netaji Subhas Open University
 
Finance management in academic library
Finance management in academic libraryFinance management in academic library
Finance management in academic libraryRajiv Ranjan Mishra
 

Tendances (20)

أحدث 10 تقنيات فى مجال المكتبات
أحدث 10 تقنيات فى مجال المكتباتأحدث 10 تقنيات فى مجال المكتبات
أحدث 10 تقنيات فى مجال المكتبات
 
Application of rfid technology in libraries
Application of rfid technology in librariesApplication of rfid technology in libraries
Application of rfid technology in libraries
 
عرض مقارن لمواصفة مؤشرات الاداء في المكتبات العامة
عرض مقارن لمواصفة مؤشرات الاداء  في المكتبات العامةعرض مقارن لمواصفة مؤشرات الاداء  في المكتبات العامة
عرض مقارن لمواصفة مؤشرات الاداء في المكتبات العامة
 
أهم حقول تسجيلة مارك 21 الببليوجرافية / إعداد محمد عبدالحميد معوض
أهم حقول تسجيلة مارك 21 الببليوجرافية / إعداد محمد عبدالحميد معوضأهم حقول تسجيلة مارك 21 الببليوجرافية / إعداد محمد عبدالحميد معوض
أهم حقول تسجيلة مارك 21 الببليوجرافية / إعداد محمد عبدالحميد معوض
 
Ifla
IflaIfla
Ifla
 
Koha
KohaKoha
Koha
 
失敗しない 3 次元 CAD 選びのポイントと Inventor を活用することで出来る作業の効率化
失敗しない 3 次元 CAD 選びのポイントと Inventor を活用することで出来る作業の効率化失敗しない 3 次元 CAD 選びのポイントと Inventor を活用することで出来る作業の効率化
失敗しない 3 次元 CAD 選びのポイントと Inventor を活用することで出来る作業の効率化
 
METS(Metadata Encoding and Transmission Standard )
METS(Metadata Encoding and Transmission Standard )METS(Metadata Encoding and Transmission Standard )
METS(Metadata Encoding and Transmission Standard )
 
WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.
WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.
WHAT ARE METADATA STANDARDS? EXPLAIN DUBLIN CORE IN DETAIL.
 
مقارنة وصف المصادر وإتاحتها مع قواعد الفهرسة الأنجلو أمريكية / إعداد محمد عب...
مقارنة وصف المصادر وإتاحتها مع قواعد الفهرسة الأنجلو أمريكية  / إعداد محمد عب...مقارنة وصف المصادر وإتاحتها مع قواعد الفهرسة الأنجلو أمريكية  / إعداد محمد عب...
مقارنة وصف المصادر وإتاحتها مع قواعد الفهرسة الأنجلو أمريكية / إعداد محمد عب...
 
idoc.ppt
idoc.pptidoc.ppt
idoc.ppt
 
معيار وصف المصادر الجديد في المكتبات و خارجها / ترجمة محمد عبد الحميد معوض
 معيار وصف المصادر الجديد في المكتبات و خارجها / ترجمة محمد عبد الحميد معوض معيار وصف المصادر الجديد في المكتبات و خارجها / ترجمة محمد عبد الحميد معوض
معيار وصف المصادر الجديد في المكتبات و خارجها / ترجمة محمد عبد الحميد معوض
 
مقدمة إلى وصف المصادر وإتاحتها / إعداد محمد عبدالحميد معوض
مقدمة إلى وصف المصادر وإتاحتها / إعداد محمد عبدالحميد معوضمقدمة إلى وصف المصادر وإتاحتها / إعداد محمد عبدالحميد معوض
مقدمة إلى وصف المصادر وإتاحتها / إعداد محمد عبدالحميد معوض
 
RDA Intro - AACR2 / MARC> RDA / FRBR / Semantic Web
RDA Intro - AACR2 / MARC> RDA / FRBR / Semantic WebRDA Intro - AACR2 / MARC> RDA / FRBR / Semantic Web
RDA Intro - AACR2 / MARC> RDA / FRBR / Semantic Web
 
Digital library impacts and issues
Digital library impacts and issuesDigital library impacts and issues
Digital library impacts and issues
 
FRBR model by Gaurav Boudh
FRBR model by Gaurav BoudhFRBR model by Gaurav Boudh
FRBR model by Gaurav Boudh
 
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF WEB 2.0 TOOLS IN DESIGNING...
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF  WEB 2.0 TOOLS IN DESIGNING...COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF  WEB 2.0 TOOLS IN DESIGNING...
COMMUNITY INFORMATION SERVICE 2.0: APPLICATION OF WEB 2.0 TOOLS IN DESIGNING...
 
Million Book Project
Million Book ProjectMillion Book Project
Million Book Project
 
Finance management in academic library
Finance management in academic libraryFinance management in academic library
Finance management in academic library
 
New techniques and tools in the library
New techniques and tools in the libraryNew techniques and tools in the library
New techniques and tools in the library
 

En vedette

Introduction to metadata management
Introduction to metadata managementIntroduction to metadata management
Introduction to metadata managementOpen Data Support
 
Metadata is a Love Note to the Future
Metadata is a Love Note to the FutureMetadata is a Love Note to the Future
Metadata is a Love Note to the FutureRachel Lovinger
 
Document Management in SharePoint without folders - Introduction to Metadata
Document Management in SharePoint without folders - Introduction to MetadataDocument Management in SharePoint without folders - Introduction to Metadata
Document Management in SharePoint without folders - Introduction to MetadataGregory Zelfond
 
Marc metadata (bastian_&_wanawan)[1]
Marc metadata (bastian_&_wanawan)[1]Marc metadata (bastian_&_wanawan)[1]
Marc metadata (bastian_&_wanawan)[1]cristal1521
 
"What is left to do?", Dublin Core 2012 Keynote
"What is left to do?", Dublin Core 2012 Keynote"What is left to do?", Dublin Core 2012 Keynote
"What is left to do?", Dublin Core 2012 KeynoteDan Brickley
 
LIS 653, Session 4-B: Introduction to Descriptive Metadata
LIS 653, Session 4-B: Introduction to Descriptive Metadata LIS 653, Session 4-B: Introduction to Descriptive Metadata
LIS 653, Session 4-B: Introduction to Descriptive Metadata Dr. Starr Hoffman
 
How We Build SLiMS that Rocks
How We Build SLiMS that RocksHow We Build SLiMS that Rocks
How We Build SLiMS that Rockshendrowicaksono
 
SLiMS Grassroot Library Automation System
SLiMS Grassroot Library Automation SystemSLiMS Grassroot Library Automation System
SLiMS Grassroot Library Automation SystemArie Nugraha
 
Metadata Use Cases You Can Use
Metadata Use Cases You Can UseMetadata Use Cases You Can Use
Metadata Use Cases You Can Usedmurph4
 
Kiat Praktis Membangun Fitur Baru di Software SLiMS
Kiat Praktis Membangun Fitur Baru di Software SLiMSKiat Praktis Membangun Fitur Baru di Software SLiMS
Kiat Praktis Membangun Fitur Baru di Software SLiMSDwi Fajar Saputra
 
Better Cross-Channel Experiences With Metadata - Information Architecture Sum...
Better Cross-Channel Experiences With Metadata - Information Architecture Sum...Better Cross-Channel Experiences With Metadata - Information Architecture Sum...
Better Cross-Channel Experiences With Metadata - Information Architecture Sum...aungstad
 
Sharepoint metadata workshop
Sharepoint metadata workshopSharepoint metadata workshop
Sharepoint metadata workshopSam Marshall
 

En vedette (20)

Does metadata matter?
Does metadata matter?Does metadata matter?
Does metadata matter?
 
Introduction to metadata management
Introduction to metadata managementIntroduction to metadata management
Introduction to metadata management
 
Metadata in Business Intelligence
Metadata in Business IntelligenceMetadata in Business Intelligence
Metadata in Business Intelligence
 
Metadata Workshop
Metadata WorkshopMetadata Workshop
Metadata Workshop
 
Taxonomy And Metadata
Taxonomy And MetadataTaxonomy And Metadata
Taxonomy And Metadata
 
Metadata is a Love Note to the Future
Metadata is a Love Note to the FutureMetadata is a Love Note to the Future
Metadata is a Love Note to the Future
 
Document Management in SharePoint without folders - Introduction to Metadata
Document Management in SharePoint without folders - Introduction to MetadataDocument Management in SharePoint without folders - Introduction to Metadata
Document Management in SharePoint without folders - Introduction to Metadata
 
Marc metadata (bastian_&_wanawan)[1]
Marc metadata (bastian_&_wanawan)[1]Marc metadata (bastian_&_wanawan)[1]
Marc metadata (bastian_&_wanawan)[1]
 
Dublin - Intro
Dublin - IntroDublin - Intro
Dublin - Intro
 
"What is left to do?", Dublin Core 2012 Keynote
"What is left to do?", Dublin Core 2012 Keynote"What is left to do?", Dublin Core 2012 Keynote
"What is left to do?", Dublin Core 2012 Keynote
 
LIS 653, Session 4-B: Introduction to Descriptive Metadata
LIS 653, Session 4-B: Introduction to Descriptive Metadata LIS 653, Session 4-B: Introduction to Descriptive Metadata
LIS 653, Session 4-B: Introduction to Descriptive Metadata
 
How We Build SLiMS that Rocks
How We Build SLiMS that RocksHow We Build SLiMS that Rocks
How We Build SLiMS that Rocks
 
Penerapan Aplikasi TIK di Perpustakaan SMPN 7 Bandung
Penerapan Aplikasi TIK di Perpustakaan SMPN 7 BandungPenerapan Aplikasi TIK di Perpustakaan SMPN 7 Bandung
Penerapan Aplikasi TIK di Perpustakaan SMPN 7 Bandung
 
SLiMS Grassroot Library Automation System
SLiMS Grassroot Library Automation SystemSLiMS Grassroot Library Automation System
SLiMS Grassroot Library Automation System
 
Metadata Use Cases You Can Use
Metadata Use Cases You Can UseMetadata Use Cases You Can Use
Metadata Use Cases You Can Use
 
Kiat Praktis Membangun Fitur Baru di Software SLiMS
Kiat Praktis Membangun Fitur Baru di Software SLiMSKiat Praktis Membangun Fitur Baru di Software SLiMS
Kiat Praktis Membangun Fitur Baru di Software SLiMS
 
Dublin Core Intro
Dublin Core IntroDublin Core Intro
Dublin Core Intro
 
<dc:title>Metadata, identifiers and linking content</dc:title>
<dc:title>Metadata, identifiers and linking content</dc:title><dc:title>Metadata, identifiers and linking content</dc:title>
<dc:title>Metadata, identifiers and linking content</dc:title>
 
Better Cross-Channel Experiences With Metadata - Information Architecture Sum...
Better Cross-Channel Experiences With Metadata - Information Architecture Sum...Better Cross-Channel Experiences With Metadata - Information Architecture Sum...
Better Cross-Channel Experiences With Metadata - Information Architecture Sum...
 
Sharepoint metadata workshop
Sharepoint metadata workshopSharepoint metadata workshop
Sharepoint metadata workshop
 

Similaire à Guide to Metadata Basics

Metadata makes the world go round 2
Metadata makes the world go round 2Metadata makes the world go round 2
Metadata makes the world go round 2robin fay
 
Semantic Web, Cataloging, & Metadata
Semantic Web, Cataloging, & MetadataSemantic Web, Cataloging, & Metadata
Semantic Web, Cataloging, & Metadatarobin fay
 
Contributing to the Smart City Through Linked Library Data
Contributing to the Smart City Through Linked Library DataContributing to the Smart City Through Linked Library Data
Contributing to the Smart City Through Linked Library DataMarcia Zeng
 
Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled IntelligenceMetadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligencedannyijwest
 
BIBFRAME, Linked data, RDA
BIBFRAME, Linked data, RDA BIBFRAME, Linked data, RDA
BIBFRAME, Linked data, RDA robin fay
 
Semantic web technology
Semantic web technologySemantic web technology
Semantic web technologyStanley Wang
 
Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence               Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence dannyijwest
 
Metadata Workshop - Utrecht - November 5, 2008
Metadata Workshop - Utrecht - November 5, 2008Metadata Workshop - Utrecht - November 5, 2008
Metadata Workshop - Utrecht - November 5, 2008askamy
 
Intro to the semantic web (for libraries)
Intro to the semantic web (for libraries) Intro to the semantic web (for libraries)
Intro to the semantic web (for libraries) robin fay
 
1. Reference management tools.ppt
1. Reference management tools.ppt1. Reference management tools.ppt
1. Reference management tools.pptRanchhodRKhmbhala
 
Reference management tools for academicc
Reference management tools for academiccReference management tools for academicc
Reference management tools for academiccjhosiyosi2
 
Automatic metadata generation
Automatic metadata generationAutomatic metadata generation
Automatic metadata generationhachilde
 
Metadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesMetadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesRichard.Sapon-White
 
Metadata and Tagging
Metadata and TaggingMetadata and Tagging
Metadata and Taggingpauloshea
 
What “Model” DITA Specializations Can Teach About Information Modelinc
What “Model” DITA Specializations Can Teach About Information ModelincWhat “Model” DITA Specializations Can Teach About Information Modelinc
What “Model” DITA Specializations Can Teach About Information ModelincDon Day
 
Dublin Core In Practice
Dublin Core In PracticeDublin Core In Practice
Dublin Core In PracticeMarcia Zeng
 

Similaire à Guide to Metadata Basics (20)

Metadata makes the world go round 2
Metadata makes the world go round 2Metadata makes the world go round 2
Metadata makes the world go round 2
 
Semantic Web, Cataloging, & Metadata
Semantic Web, Cataloging, & MetadataSemantic Web, Cataloging, & Metadata
Semantic Web, Cataloging, & Metadata
 
Metadata: A concept
Metadata: A conceptMetadata: A concept
Metadata: A concept
 
Metadata
MetadataMetadata
Metadata
 
Meta data
Meta dataMeta data
Meta data
 
Contributing to the Smart City Through Linked Library Data
Contributing to the Smart City Through Linked Library DataContributing to the Smart City Through Linked Library Data
Contributing to the Smart City Through Linked Library Data
 
Metadata Standards
Metadata StandardsMetadata Standards
Metadata Standards
 
Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled IntelligenceMetadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence
 
BIBFRAME, Linked data, RDA
BIBFRAME, Linked data, RDA BIBFRAME, Linked data, RDA
BIBFRAME, Linked data, RDA
 
Semantic web technology
Semantic web technologySemantic web technology
Semantic web technology
 
Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence               Metadata: Towards Machine-Enabled Intelligence
Metadata: Towards Machine-Enabled Intelligence
 
Metadata Workshop - Utrecht - November 5, 2008
Metadata Workshop - Utrecht - November 5, 2008Metadata Workshop - Utrecht - November 5, 2008
Metadata Workshop - Utrecht - November 5, 2008
 
Intro to the semantic web (for libraries)
Intro to the semantic web (for libraries) Intro to the semantic web (for libraries)
Intro to the semantic web (for libraries)
 
1. Reference management tools.ppt
1. Reference management tools.ppt1. Reference management tools.ppt
1. Reference management tools.ppt
 
Reference management tools for academicc
Reference management tools for academiccReference management tools for academicc
Reference management tools for academicc
 
Automatic metadata generation
Automatic metadata generationAutomatic metadata generation
Automatic metadata generation
 
Metadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemesMetadata lecture 3, metadata schemes
Metadata lecture 3, metadata schemes
 
Metadata and Tagging
Metadata and TaggingMetadata and Tagging
Metadata and Tagging
 
What “Model” DITA Specializations Can Teach About Information Modelinc
What “Model” DITA Specializations Can Teach About Information ModelincWhat “Model” DITA Specializations Can Teach About Information Modelinc
What “Model” DITA Specializations Can Teach About Information Modelinc
 
Dublin Core In Practice
Dublin Core In PracticeDublin Core In Practice
Dublin Core In Practice
 

Plus de robin fay

RWOs & linkeddata for libraries
RWOs & linkeddata for librariesRWOs & linkeddata for libraries
RWOs & linkeddata for librariesrobin fay
 
Project Management for Libraries
Project Management for LibrariesProject Management for Libraries
Project Management for Librariesrobin fay
 
Controlled Vocabularies & Cataloging
Controlled Vocabularies & Cataloging Controlled Vocabularies & Cataloging
Controlled Vocabularies & Cataloging robin fay
 
Catexpress - Quick overview
Catexpress - Quick overviewCatexpress - Quick overview
Catexpress - Quick overviewrobin fay
 
IOT, Real World Things, & Linked data
IOT, Real World Things, & Linked dataIOT, Real World Things, & Linked data
IOT, Real World Things, & Linked datarobin fay
 
Cataloging101 foundations: Authorities
Cataloging101 foundations: AuthoritiesCataloging101 foundations: Authorities
Cataloging101 foundations: Authoritiesrobin fay
 
Cataloging101 foundations frbr - 2019 version
Cataloging101 foundations frbr - 2019 versionCataloging101 foundations frbr - 2019 version
Cataloging101 foundations frbr - 2019 versionrobin fay
 
Challenges and opportunities in library discovery services gen
Challenges and opportunities in library discovery services genChallenges and opportunities in library discovery services gen
Challenges and opportunities in library discovery services genrobin fay
 
Tech Bits: Taking your mobile photography to the next level
Tech Bits: Taking your mobile photography to the next levelTech Bits: Taking your mobile photography to the next level
Tech Bits: Taking your mobile photography to the next levelrobin fay
 
Copyright, Public Domain & Creative Commons for Educators
Copyright, Public Domain & Creative Commons for Educators Copyright, Public Domain & Creative Commons for Educators
Copyright, Public Domain & Creative Commons for Educators robin fay
 
Multimedia, Virtual Reality and 3D Technologies in Higher Ed
Multimedia, Virtual Reality and 3D Technologies in Higher EdMultimedia, Virtual Reality and 3D Technologies in Higher Ed
Multimedia, Virtual Reality and 3D Technologies in Higher Edrobin fay
 
Building a digital_library_from_scratch
Building a digital_library_from_scratchBuilding a digital_library_from_scratch
Building a digital_library_from_scratchrobin fay
 
Digitizing our past
Digitizing our past Digitizing our past
Digitizing our past robin fay
 
Linked data presentation for libraries (COMO)
Linked data presentation for libraries (COMO)Linked data presentation for libraries (COMO)
Linked data presentation for libraries (COMO)robin fay
 
Cataloging roundtable discussion questions
Cataloging roundtable discussion questionsCataloging roundtable discussion questions
Cataloging roundtable discussion questionsrobin fay
 
Metadata then & now
Metadata then & now Metadata then & now
Metadata then & now robin fay
 
Omeka introduction (revised) 2015
Omeka introduction (revised) 2015Omeka introduction (revised) 2015
Omeka introduction (revised) 2015robin fay
 
Go google - tips and tricks for getting started with google
Go google - tips and tricks for getting started with googleGo google - tips and tricks for getting started with google
Go google - tips and tricks for getting started with googlerobin fay
 
Organizing your online stuff
Organizing your online stuffOrganizing your online stuff
Organizing your online stuffrobin fay
 
RDA - an updated overview
RDA -  an updated overviewRDA -  an updated overview
RDA - an updated overviewrobin fay
 

Plus de robin fay (20)

RWOs & linkeddata for libraries
RWOs & linkeddata for librariesRWOs & linkeddata for libraries
RWOs & linkeddata for libraries
 
Project Management for Libraries
Project Management for LibrariesProject Management for Libraries
Project Management for Libraries
 
Controlled Vocabularies & Cataloging
Controlled Vocabularies & Cataloging Controlled Vocabularies & Cataloging
Controlled Vocabularies & Cataloging
 
Catexpress - Quick overview
Catexpress - Quick overviewCatexpress - Quick overview
Catexpress - Quick overview
 
IOT, Real World Things, & Linked data
IOT, Real World Things, & Linked dataIOT, Real World Things, & Linked data
IOT, Real World Things, & Linked data
 
Cataloging101 foundations: Authorities
Cataloging101 foundations: AuthoritiesCataloging101 foundations: Authorities
Cataloging101 foundations: Authorities
 
Cataloging101 foundations frbr - 2019 version
Cataloging101 foundations frbr - 2019 versionCataloging101 foundations frbr - 2019 version
Cataloging101 foundations frbr - 2019 version
 
Challenges and opportunities in library discovery services gen
Challenges and opportunities in library discovery services genChallenges and opportunities in library discovery services gen
Challenges and opportunities in library discovery services gen
 
Tech Bits: Taking your mobile photography to the next level
Tech Bits: Taking your mobile photography to the next levelTech Bits: Taking your mobile photography to the next level
Tech Bits: Taking your mobile photography to the next level
 
Copyright, Public Domain & Creative Commons for Educators
Copyright, Public Domain & Creative Commons for Educators Copyright, Public Domain & Creative Commons for Educators
Copyright, Public Domain & Creative Commons for Educators
 
Multimedia, Virtual Reality and 3D Technologies in Higher Ed
Multimedia, Virtual Reality and 3D Technologies in Higher EdMultimedia, Virtual Reality and 3D Technologies in Higher Ed
Multimedia, Virtual Reality and 3D Technologies in Higher Ed
 
Building a digital_library_from_scratch
Building a digital_library_from_scratchBuilding a digital_library_from_scratch
Building a digital_library_from_scratch
 
Digitizing our past
Digitizing our past Digitizing our past
Digitizing our past
 
Linked data presentation for libraries (COMO)
Linked data presentation for libraries (COMO)Linked data presentation for libraries (COMO)
Linked data presentation for libraries (COMO)
 
Cataloging roundtable discussion questions
Cataloging roundtable discussion questionsCataloging roundtable discussion questions
Cataloging roundtable discussion questions
 
Metadata then & now
Metadata then & now Metadata then & now
Metadata then & now
 
Omeka introduction (revised) 2015
Omeka introduction (revised) 2015Omeka introduction (revised) 2015
Omeka introduction (revised) 2015
 
Go google - tips and tricks for getting started with google
Go google - tips and tricks for getting started with googleGo google - tips and tricks for getting started with google
Go google - tips and tricks for getting started with google
 
Organizing your online stuff
Organizing your online stuffOrganizing your online stuff
Organizing your online stuff
 
RDA - an updated overview
RDA -  an updated overviewRDA -  an updated overview
RDA - an updated overview
 

Dernier

The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
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
 

Dernier (20)

The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
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
 

Guide to Metadata Basics

  • 1. Metadata 101  Introduction  What is metadata  Types of metadata  Examples of metadata usage  Metadata for everyone!  Questions and wrap-up Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 2. Metadata 101  While programming languages are the engines which run the web and the software we use, metadata is akin to street signs or maps – communicating to people, software, and other computer languages.  This communication can be information about the content (descriptive), about its technical specifications or creation.  Metadata is truly everywhere – often hidden behind the tools and online products we use. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 3. APIs are programming interfaces which facilitate communication MARC can be exported as XML and Non MARC metadata is often written in XML, a flexible programming language. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 4. Metadata 101  Types of metadata:  Descriptive  Structural  Administrative  Many forms of metadata include elements of each of these; however it is dependent upon the schema.  A schema is a set of rules covering the elements and requirements for coding. Examples of schemas include Dublin Core, TEI, EAD, and others. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 5. Metadata 101 METS is a standard which includes administrative, descriptive & structural metadata. Karen Coyle 2004, http://www.kcoyle.net/meta_purpose.html Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 6. Metadata 101  Descriptive metadata describes a resource for purposes such as discovery and identification.  It can include elements such as title, abstract, author, and keywords. Keywords can include tags (generally uncontrolled vocabulary) and/or controlled vocabulary such as LC subject headings. Keywords is probably one of the most used terms on the web and its meaning is context based. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 7. Metadata 101  Examples of descriptive metadata include  MARC bibliographic records;  Tags, titles, and notes in flickr , del.ici.ous, and other social networking sites;  metadata embedded in the code of websites;  and other tagging projects such as steve.museum, OCLC worldcat.org, LibraryThing, some digital library projects;  … really any website where a user (or authorized user, such as a cataloger or member participant) can create or edit description, keywords/tags, title, creator information and more.  Let’s look at just a few of these focusing on the descriptive metadata… Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 8. Metadata 101  A few examples: A MARC bib record from the OPAC view of a GIL catalog. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 9. Metadata 101  The metadata generated by catalogers within a MARC bibliographic record is considered descriptive metadata. It provides information about the item, from its title and creator to its format to appropriate LCSH or Sears subject headings (controlled vocabulary keywords) assigned by the cataloger.  How that metadata is interpreted is dependent upon the software or programming language. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 10. Metadata 101  Many digital projects from databases to websites allow (and even require) the cataloger to create or edit administrative or structural metadata. Archivists’ Toolkit is one software used by catalogers which creates all types of metadata.  Metadata from these databases can often be cross- walked. An example of cross-walking is creating a MARC record from a non-MARC format and then importing the derived record into a MARC based library catalog, such as GIL. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 11. Metadata 101  Let's look at one simple example of cross-walking  For the Electronic Theses & Dissertations at UGA, an appropriately coded metadata record from a MySQL database can be translated into a MARC record and loaded into a Voyager catalog, with the end result being an acceptable MARC bibliographic record. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 12. Note: The MARC designated fields. Cataloger’s workform interface to the MySQL db.
  • 13. Note: The indicators and field tags are populated.
  • 14. The record Metadata 101 imported into GIL. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 15. Metadata 101  Although catalogers create, edit and use metadata everyday, metadata goes far beyond the library catalog or even the library website.  Metadata generation and editing beyond the library catalog is a common place activity for many internet users these days, including you! If you are not creating metadata on the Internet, you are using it to search google and other search engines. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 16. Web designers also create metadata to describe the website Metadata 101 and its content. LC Subject headings can be coded into the meta tags. Many websites now carry rights metadata (administrative). Metadata for a website is either created by the user when building the website or hand- coded into the HTML. Some search engines use these keywords to varying degrees. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 17. Metadata 101 A steve museum record. Steve.museum is open to art educators and others; membership is required to tag. This is user generated metadata. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 18. Worldcat.org offers both user contributed metadata (tags) and authority contributed controlled metadata (subject headings, authorized forms of names & entities, etc.) Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 19. Library thing – user generated cataloging Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 20. Metadata 101 Microsoft has been adding metadata to the its documents for years; often based upon which user created the document. Newer versions allow this information to be changed more easily. PDF creators also allow the creation and editing of metadata. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 21. Metadata 101  Structural metadata defines the relationship between whole and parts.  Structural metadata can also be used for navigational purposes. Structural metadata would include links to related files. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 22. Descriptive metadata Administrative & Structural Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 23. Metadata 101  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.  Subsets of administrative metadata exist but two commons ones are  Rights management metadata, which deals with intellectual property rights,  and preservation metadata, which contains information needed to archive and preserve a resource. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 24. Descriptive metadata Administrative metadata
  • 25. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 26. Many different tools are available for users to create Metadata 101 metadata – help for flickr users Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 27. Metadata 101 Note: The association of tagging as metadata Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 28. DC Metadata generator -- help for web editors & designers Other fields in the generator include Date of coverage, copyright & format. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 29. Metadata 101  We can rate, tag -- add keywords (even use controlled vocabulary in some cases), assign or flag for appropriate audience level, define genre, and more.  User generated metadata is generally created through an interface on a website and primarily descriptive; however, many sites are beginning to allow and encourage rights statements (administrative) as well as other elements of administrative and structural metadata. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 30. Metadata 101  Concerns and thoughts  Much of the current discussion about metadata (tagging/keywords, controlled headings vs. non-controlled headings, OCLC Community Expert Experiment, etc.) centers upon the potential differences in quality of user generated metadata.  As with any user group, there are varying levels of expertise and understanding of the subject.  Metadata can be good or bad.  Keywords have been terribly misused in the SEO (Search Engine Optimization) community – leading not only to false results when searching but also spam and phishing attempts Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 31. Metadata 101  Many collaborative websites (social networking) such as Wikipedia rely on the collective expertise of the group -- the “true” or accurate information will rise to the top.  Untrue or irrelevant information will either sink to the bottom (fewer hits, bad reviews, marked for review, etc.) or will be revised by more expert opinions. For the most part, this works fairly well; however, there are drawbacks and quality control is an ongoing issue. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 32. Metadata 101  Taking the human element out (beyond the programmers who wrote the scripts for harvesting) machine derived metadata offers the opportunity to create large chunks of metadata with minimal human effort  However, machine derived metadata may not be able to distinguish subtleties perceivable to the human eye and mind – at least, until AI is truly viable  Duplicates and erroneous information may occur Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 33. Metadata 101  Metadata to the world !  All of the metadata we (the world) creates is mined in some form or another. Search engines, document processing software, library catalogs, websites, digital portals, even our desktop computer’s indexing is mining our information  The Web provides almost endless possibilities to share resources and digital objects.  Library catalogs mirror general practices on the web; as more sites not only allow users to create metadata, sites are beginning to create user created resources, too. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 34. Metadata 101: Wrap-up  Types of metadata:  Descriptive  Structural  Administrative  Many forms of metadata include elements of each of these; however it is dependent upon the schema.  A schema is a set of rules covering the elements and requirements for coding. DC (Dublin Core) is one example of a metadata schema. Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net
  • 35.  All presentation materials will be available at http://robinfay.net/site/content/metadata-101-presentation  Links @ http://delicious.com/georgiawebgurl/metadata_presentation  Questions? Robin Fay, Univ. of Georgia, Metadata 101, robinfay.net