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Lists Project – making collection lists searchable through Trove

Lists Project – making collection lists searchable through Trove. List Project Report. The Lists Project set out to investigate the issues involved in making lists that describe collections searchable online.

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Lists Project – making collection lists searchable through Trove

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  1. Lists Project – making collection lists searchable through Trove

  2. List Project Report • The Lists Project set out to investigate the issues involved in making lists that describe collections searchable online. • The work included creating models of ways to convert the lists into metadata and how to chose one of those methods.

  3. Bibliographic data models summary • Model 1 – List as digital image attached to collection level MARC record • Model 2 – List as indexed data searchable via Trove • Model 3 – List as enhanced collection level MARC record • Model 4 – List as item level MARC records

  4. Model One – List as digital image attached to collection level MARC record. The List - Farsi collection

  5. MARC record showing link to list.http://catalogue.nla.gov.au/Record/4963622

  6. Model Two – List as machine readable text indexed by Trove. The List - Griffin and his work

  7. Terms from the Griffin list searched on Trove.http://trove.nla.gov.au/work/32799480

  8. MARC record showing link and indexing flag

  9. Model Three – List is converted to collection level MARC record, enhanced by list terms. The List - Finding aid for Giblin papers

  10. Papers of Giblin MARC record enhanced with list terms. http://catalogue.nla.gov.au/Record/2950469

  11. Model Four – List converted to item level MARC records. The List – Baulkham Hills plans spreadsheet.

  12. One of the Baulkham Hills item level records.

  13. Nature of lists • The nature of the list and the collection it represents will influence the metadata structure and choice of data model. • The characteristics of the data on the list will affect the method and required resources to convert the list to metadata.

  14. Conclusions about lists • Machine readable text is paramount to most conversions. • Homogeneity of data makes conversion easier. • Finer granularity of access can only be usefully provided if distinctive data is available. • Item format and published status will determine match/merge loading profiles.

  15. More conclusions about lists • A model choice can be unfavourable if it relies on good MARC record linking which is unavailable in some systems. • Data format and arrangement determines the ease and expense of list conversions. • To review or not to review the data for quality and currency is a difficult decision. • If the list is hierarchical in nature like archival finding aids, there will need to be compromise between collection context and metadata presentation.

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