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Building Quality Assurance into Metadata Creation An Analysis Based on the Learning Objects and ePri

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Title: Building Quality Assurance into Metadata Creation An Analysis Based on the Learning Objects and ePri


1
Building Quality Assurance into Metadata
CreationAn Analysis Based on the Learning
Objects and e-Prints Communities of Practice
  • Jane Barton, Centre for Digital Library Research
  • Sarah Currier, Centre for Academic Practice
  • University of Strathclyde, UK
  • Jessie M.N. Hey, Intelligence, Agents, Multimedia
    Group and University Library
  • University of Southampton

2
Researchers from two countries discuss two
communities
3
Scope of Paper
  • Metadata creation for two parallel communities
    learning object repositories and open e-Print
    archives
  • The content of the metadata record, not the
    structure
  • Human-generated metadata only
  • Assuring the quality of this process
  • Metadata will only support effective discovery if
    it is accurate, consistent, sufficient, and thus
    reliable
  • (Greenberg and Robertson (2002) Semantic Web
    construction an inquiry of authors views on
    collaborative metadata generation. Proceedings of
    DC2002, 45-52.)

4
in the beginning (LO community)
  • the authoring of metadata itself will be
    straightforward for most course designers.
    Because metadata files are machine-writable,
    authors will simply access a form into which they
    enter the appropriate metadata information.
  • (5 Downes, 2001)

5
in the beginning (e-Prints Community)
  • Physicists deposited academic papers in global
    arXiv
  • Interoperability framework created Open Archives
    Initiative Protocol for Metadata Harvesting
    (OAI-PMH)
  • Emphasis on examining and changing the culture
    within academia to encourage deposit of e-prints
  • Wider goal of changing the unsustainable
    economics of scholarly communication
  • Focus on participation - anything perceived as a
    barrier between academics and institutions tends
    to be played down (e.g. metadata creation issues)

6
but is it really so simple?assumptions in
e-learning e-prints
  • Internet culture mediation by controlling
    authorities detrimental undesirable
  • Time-consuming, costly, barrier to uptake of
    technology (tedious and difficult)
  • Only authors/users understand their resources
  • Deus ex machina?

7
but is it really so simple?some case studies
  • Quality of author-generated metadata?
  • Higher Level Skills for Industry Project (HLSI) -
    University of Huddersfield
  • e-Prints service providers UPS and Arc
  • Collaboration between authors and specialists?
  • Bolton Woods Local History Project
  • e-Prints data providers TARDIS
  • Specialist help needed?
  • Scottish electronic Staff Development Library
    (SeSDL)
  • ePrints UK and TARDIS

8
Quality Control? The HLSI Project
  • 6,500 learning objects with IEEE LOM metadata
    records created by authors
  • The same metadata records for many or all
    components of a content package
  • Inconsistent terminology
  • Description of facets and characteristics of the
    educational object and not of the content
  • Over-use of software default values
  • Information scientists brought in at Jun. 03
    2,500 metadata records re-edited, taking ca 550
    hours and costing ca 6500 (2.60 ea.)
  • (19 Ryan and Walmsley, 2003 Ryan, B. (2003)
    Creating, Using and Re-using Learning Objects.
    HLSI Project. ppt presentation Online
    http//www.cetis.ac.uk/groups/20010809144711/FR200
    30807121739)

9
Quality Control? UPS Preprint Service
  • UPS (Universal Preprint Service Prototype)
  • Slightly pre-OAI used NCSTRL Protocol to
    harvest ca. 200,000 records from existing
    archives, made available through single user
    interface
  • The lack of quality of the metadata available in
    the UPS Prototype project has an important,
    baleful influence on the creation of
    cross-archive services as well as on the quality
    of services that can be created.
  • (26 Van de Sompel,
    H. et al., 2000)

10
Quality Control? Arc search service
  • Arc search service first prototype using OAI
  • The effort of maintaining a quality federation
    service is highly dependent on the quality of the
    data providers. Some are meticulous in
    maintaining exacting metadata records that need
    no corrective actions. Other data providers have
    problems maintaining even a minimum set of
    metadata and the records harvested are useless.

  • (27 Liu, X. et al., 2001)

11
Quality Control? an aside
  • Even when theres a positive benefit to creating
    good metadata, people steadfastly refuse to
    exercise care and diligence in their metadata
    creation. Take eBay every seller there has a
    damned good reason for double-checking their
    listings for typos and misspellings. Try
    searching for plam on eBay. Right now, that
    turns up nine typoed listings for Plam Pilots.
    Misspelled listings dont show up in correctly
    spelled searches and hence garner fewer bids and
    lower sale-prices. You can almost always get a
    bargain on a Plam Pilot at eBay.
  • (17 Doctorow, 2002 Metacrap
    Putting the Torch to the Seven Straw Men of the
    Meta-Utopia)

12
Collaboration? Findings from the Bolton Woods
Local History Project
  • Study compared resource authors information
    scientists metadata
  • Authors did not have a good understanding of
    purpose or value of metadata
  • Authors understood the context of resources and
    focused on these elements
  • Information specialists understood the purpose of
    metadata and included a wider range of metadata
    elements, but "struggled" with contextual aspects
    of the metadata
  • Neither handled pedagogic aspects of the
    resources well
  • (21 O'Beirne, 2002)

13
Collaboration? The TARDIS project Targeting
Academic Resources for Deposit and Disclosure
  • UK JISC funded FAIR Programme cluster of
    projects exploring different aspects
  • Pilot departments metadata errors suggested
    modifying approach
  • Exploring self-archiving and mediated deposit
    together
  • Trialing simpler interface to GNU EPrints
    software for author-generated metadata
  • Testing value of targeted help more logical
    field order examples created by information
    specialists fields required for good citation
  • Mediated service for daunted authors also being
    trialled and evaluated.

14
Aiding deposit process in TARDIS
15
Collaboration? support from Semantic Web-based
DC research
  • the integration of expert and author generated
    descriptive metadata can advance and improve the
    quality of metadata for web content, which in
    turn could provide useful data for intelligent
    web agents, ultimately supporting the development
    of the Semantic Web. If such partnerships are
    well planned and evaluated, they could make a
    significant contribution to achieving the
    Semantic Web.
  • (Greenberg and Robertson (2002) Semantic Web
    construction an inquiry of authors views on
    collaborative metadata generation. Proceedings of
    DC2002, 45-52.)

16
Specialists needed? Scottish electronic Staff
Development Library
  • SeSDL Taxonomy Evaluation involved 6 users
    subject classifying resources
  • Out of 106 classifications, only 35 had
    agreement of more than one user
  • E.g. Resource defining VLE and MLE was
    classified Student-Centred Learning and
    Collaborative Learning by one user
  • Without adequate user support, classification is
    likely to be so inconsistent as to make the
    browse tree unusable
  • The whole exercise has given me more admiration
    and respect for librarians--(user)
  • (23 Currier, 2001)

17
Specialists needed? ePrints UK and TARDIS
  • TARDIS examined current diverse subject
    classification practices of e-Print archives is
    experimenting with simple standard and additional
    specialised subject community options and
    mediated entry
  • ePrints UK is experimenting with use of an
    automatic subject-classification Web service
    offered by OCLC

18
Specialists needed? Research in commercial
database abstracting indexing services shows
  • that authors may lack knowledge of indexing
    and cataloguing principles and practices, and are
    more likely to generate insufficient and poor
    quality metadata that may hamper resource
    discovery
  • (Greenberg and Robertson (2002) Semantic Web
    construction an inquiry of authors views on
    collaborative metadata generation. Proceedings of
    DC2002, 45-52.)

19
Lets revisit thoseassumptions in e-learning
e-prints
  • Some expert mediation may be beneficial.
    (Metadata does not control access to resources,
    it provides access to resources)
  • Cost-benefit analysis necessary metadata
    metrics.
  • Authors/users expertise can be incorporated
    into the process but metadata specialists have a
    role to play.
  • All problems not resolvable by machine.

20
Conclusion
  • The metadata creation process is not trivial and
    needs appropriate planning and management to
    assure quality and thus enable sharing and reuse
    of resources
  • Further research is needed to understand how this
    can best be achieved
  • What constitutes good quality metadata?
  • Who should create metadata and how?
  • How can metadata tools support the process?
  • How can support and training be facilitated?

21
Resources
  • This paper is built on Quality Assurance for
    Digital Learning Object Repositories How Should
    Metadata Be Created? (Currier, Barton ALT-C
    2003) http//metadata.cetis.ac.uk/guides/usage_su
    rvey
  • For further info / discussion on LO metadata, see
    CETIS Metadata SIG http//metadata.cetis.ac.uk/
  • For e-Prints metadata developments, see
  • FAIR Focus on Access to Institutional
    Resources (FAIR) Programme
  • TARDIS http//tardis.eprints.org

22
Our help required!
  • I am a great believer in working towards
    quality assurance. I just never get there.
  • University of Washington faculty member
  • September 2003
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