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András Simon

Various aspects of metadata structuring , construction and the business logic characteristics of integrated library systems . The highest level of unification job of segmentation and integration data processes by an ILS application Qulto . András Simon. Technical tasks - customer data.

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András Simon

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  1. Variousaspects of metadatastructuring, construction and the business logiccharacteristics of integratedlibrarysystems.The highest level of unification job of segmentation and integration data processes by an ILS application Qulto András Simon

  2. Technicaltasks - customerdata • Segmented storage, ergonomic entry • Value lists form customer data (nationality, address, city, occupation, qualification etc.) for proper calculation. • Masked data entry for proper calculation • Possibilityfor import from institutional or official dictionaries • Standardized view points, in local, institutional, or state level • Possibility for archiving instead of erasing

  3. Basic requirements towards the making of statistics or the use of statistics - customers • Age • Gender • Qualification • Residence • Social status (child, employee, retired, student, unemployed etc.) • Nationality • Mother tongue • Readers category (student, employee, retired) • Registration date

  4. Basic requirements towards the making of statistics or the use of statistics - documents • Document type (book, ebook, periodical, audiovisual material, electronicor physical copy, map, note) • Belle lettres / professional material by Dewey or by other classification systems • Special collections • Language (Hungarian, English, German, other) • Acquisition date and type • Date of publishing • Author (loan fee, transaction fee) • Price, and value of document • Date and time of loan. (weekdays,weekend, holidays)

  5. Authorities - types • Holder • Owner • Supervisoryauthority • State, local, institutional, other

  6. Authoritiesdemands and aims • Useof library • Socialeffects • Expenditureefficiency • Utilization of holdings • Necessity of indexing • Use of externaldatasources • Commondatabasesfromlibraries and museums

  7. Library – demands and aims • Utilization of holdings • Old unusedbooks • Oftenborrowedbooks • Changing of utilization • Acquisition policy • Changesof theproportionofcustomersegments

  8. Problems of thedatacomingfromthe ILS • Open shelves – bookstacks (less used) • Work – level identification (language of book important) • Reading in foreign languages • Local use, how to measure? • Borrowing for others. • Renewing, how much to count? • Literature for students given by the teacher

  9. Problemswiththeresults • Public debate in Hungary, „ half of the holdings are unused” • Aufklärism – should we do anything with it? • Changeof loan policy – liberal regulations • Change of copy service policy • Change of acquisition and finance policy • Human resources – less need • Preconceptions, manipulatingthe data by employees

  10. Outputs - problems • Formatted reports • Results of calculations in graphs • Direct search on the interface • Direct search via SQL in the database • Too complicated data structure • Too big data tables • Searches should be prepared by the programmers on ad hocway

  11. Evaluationmethods • Local experiences • Formal demands of authorities – L'art pour l'art • Own aims of libraries • Regularity – month, year, school year concerning to the lifecycles of the library • Usage of document concerning to price and value • Changing of the customers attitudes and demands especially by the youth • Highly polarized society in Hungaryby intellectual factor

  12. Utilization of results • Acquisition policy • Marketing • Loan policy • Opening hours, holydays • Changing of financing • Increasing effectiveness of utilization • Usage of human resources

  13. Qulto solutions • 300 customer in CentralEurope • MARC structure, complete segmentation • Reader Data complete segmentation • Archiving the information about deleted readers, users, bibliographical holding and loan data • Long time storage, data preservation

  14. Technicaltasks – documentdata • Allbibliographicaldatain MARC • Every MARC tag and subfieldinseparatedatafieldforpropercalculation, andinordertoformthecontrolleddataentry • Unlimitedpossiblityformcombinationbycreating search masks • Possiblityfor entering sepcialdatacontent (date, timestamp, integer, decimal etc.) • Entering regularexpressions, and defaultvalues • Makingdatafieldsobligatory • Usage of value lists (language, classification etc.)

  15. Thankyouforyourattention!

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