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Assessment of Metadata
Remediation Efforts
Jenn Riley
Metadata Librarian
Indiana University Digital Library
Program
General approach to assessment


Traditional library approach






Measure inter-indexer consistency
Count errors
Record focus

For this project, I’ll argue



User & task focus
Define accuracy in terms of functionality achieved

2
Metadata Enhancement and OAI Workshop
Why that approach?


Functionalities we’re thinking about aren’t
supported well by traditional library structures
and vocabularies







High-level browsing
Genre access

“Ground truth” doesn’t really exist for things
like “subject” and “genre”
We need to figure out where human effort is
most useful
3
Metadata Enhancement and OAI Workshop
One size does not fit all for metadata
enhancement activities
(a la DCMI
Type)
(syntax
(syntax normalization,
normalization)
plus ?)

Dates

Resource
Type

Names

(form? style?)

Subject Genre

Factual

Interpretive

easy?

hard?

What about geography?
4
Metadata Enhancement and OAI Workshop
Very preliminary possible metrics








Syntax normalization: what functionality can we
provide on the records after syntax normalization?
More interpretive tasks: do the resources retrieved
in response to a query match user expectations?
All: how confident are we in the results of the
automatic enhancement?
Need actual numbers at some point



To figure out how well services will work
Think about pre-human involvement vs. post-human
involvement
5
Metadata Enhancement and OAI Workshop
Woof!

6
Metadata Enhancement and OAI Workshop
Woof!

6
Metadata Enhancement and OAI Workshop

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Assessment of Metadata Remediation Efforts

  • 1. Assessment of Metadata Remediation Efforts Jenn Riley Metadata Librarian Indiana University Digital Library Program
  • 2. General approach to assessment  Traditional library approach     Measure inter-indexer consistency Count errors Record focus For this project, I’ll argue   User & task focus Define accuracy in terms of functionality achieved 2 Metadata Enhancement and OAI Workshop
  • 3. Why that approach?  Functionalities we’re thinking about aren’t supported well by traditional library structures and vocabularies     High-level browsing Genre access “Ground truth” doesn’t really exist for things like “subject” and “genre” We need to figure out where human effort is most useful 3 Metadata Enhancement and OAI Workshop
  • 4. One size does not fit all for metadata enhancement activities (a la DCMI Type) (syntax (syntax normalization, normalization) plus ?) Dates Resource Type Names (form? style?) Subject Genre Factual Interpretive easy? hard? What about geography? 4 Metadata Enhancement and OAI Workshop
  • 5. Very preliminary possible metrics     Syntax normalization: what functionality can we provide on the records after syntax normalization? More interpretive tasks: do the resources retrieved in response to a query match user expectations? All: how confident are we in the results of the automatic enhancement? Need actual numbers at some point   To figure out how well services will work Think about pre-human involvement vs. post-human involvement 5 Metadata Enhancement and OAI Workshop