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Anikó Dudás, PhD Hungary

Who A re the U sers and W hat A re T heir E xpectations? * Aspects of Academic Bibliographies. Anikó Dudás, PhD Hungary. Bibliography in the Digital Age IFLA Satellite Meeting National Library of Poland, Warsaw, 9 August 2012. Presentation Outline.

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Anikó Dudás, PhD Hungary

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  1. Who Are the Users and What Are Their Expectations? *Aspects of Academic Bibliographies Anikó Dudás, PhD Hungary Bibliography in the Digital AgeIFLA Satellite Meeting National Library of Poland, Warsaw, 9 August 2012

  2. Presentation Outline • Users of NBs and their expectations: Hungarian Academic Publication and Citation Database (MTMT) • Sources (respecting disc fileds of Humanities and Social Sciences) • Special MTMT data elements in comparison with data used in standard bib description

  3. 1. Hungarian Academic Publication and Citation Database (MTMT) • bibliographical data of researchers’, professors’ publications and citations

  4. Based on Publication Citation • Bibliographical data • But the database itself is not a universal bibliograpy system • Focuces particularly on • Hungarica data – restricted to the publications of contemporary, learned „Hungarus” authors • Personal and institutional research publication output • Citations should be collected as well

  5. Some specific expectations • up-to-date register of publications & citations • data-entering is carried out by registered users (researchers) and operators • authentic, verified • a tool for monitoring and mapping Hungarian research publication output • display options: by persons, institutions (affiliation must be attached) and so many other views • serves as a basic bibliometric aid • data should be re-usable in R&D information systems • Bibliography Commettee is responsible for metadata improvements

  6. A personal publication list

  7. Display options

  8. MTMT: detailed citation list

  9. MTMT: some figures • Launched in 2009 (by bringing together several STM databases) • Members are: • Independent individuals • Persons affiliated with organizations: • research institutions of HAS • most outstanding research universities • other universities • colleges, hospitals • government bodies • for-profit organizations are interested as well

  10. MTMT figures

  11. Number of publications and citations (Aug. 2012)

  12. Growth Growth rate: C: 40% P:26%

  13. Ratio of publication types Data are not limited solely to scholarly works and to „soft” disciplines

  14. Ratio of the three main types Data are not limited solely to scholarly works and to „soft” disciplines

  15. PPCU FH – local database (2010) Data are limited to scholarly works; „soft” fieldsMore than half appear in books

  16. 2. Sources for populating • Importing (WoS, Scopus, Medline etc.) – main sorurces in STM fields; but less important in AHSS fields • Manual input (typing), one by one (by authors, operators) is the main way of uploading •  technological gap: re-use of quality library metadata is not yet implemented • BUT: large-scale development is in progress, improvements can be expected • So far NBs are used for manual/visual verification of bib data; for adding missing data etc. • In future: automatic or semi-automatic linking, data-transfer and verification processes will take place

  17. Difficulties: analytics (AHSS fields) • Analytical entries: • No suitable global tools for book chapters • nor for articles published in nat. journals • In Hu: • HUMANUS – covers A&H, some SS fields, contains analytics on books and journals • MATARKA – CC (TOC) service for Hu journals • The two services (+ EPA=e-journals) partially overlap Can be regarded as some extensions of the regular HuNB

  18. Difficulties: citation level (AHSS fields) • Discovering, collecting and filling in citations – lies upon the shoulders of the researchers • One need much time • Some help: scholar.google; Google Scholar Citation • Initiatives for national citation indexes (Serbia; India – restricted; HU – pilot project) • Developing a useful joint service would be welcome to facilitate recording citations

  19. 3. MTMT data elements – characteristics Name: traced in the case of a registered person; otherwise uncontrolled Name (from authority file), AAP Affiliation Taxonomies: (1) Form; (2) Genre; (3) Character by intended audience

  20. Adding authors, authorship information (in bib record) MTMT controlled name (attached from authority file) Name (whatever form) << names from external sources are coming over here Authorship portion Affiliations • Relator terms are used instead of the statement of responsibility • Number of attached authors are not limited • All authors and corporate collaborators can be listed but are not displayed in default setting

  21. Affiliation On personal level On publication level(two inst. are sharing the same publ.)

  22. Descriptive data • Simplified, minimal level • Enriched by specific Form/Genre/Character • IDs for works are wellcome • So far only two kinds of authorships were distinguished (author / editor) – some more terms will be added to the vocabulary

  23. Types of authorships Relator terms Subtypes of ‘Other contributor roles'

  24. Character of the work (according to the intended audience) Academic Popular science Educational Of public interest

  25. Form/genre controlled vocabulary • Used to distinguish and classify research publication products • Bibliography Committee has finished recently the harmonization, simplification of descriptors • Term list includes descriptors for: • Published academic works • Art works (artistic, technical) • Patents (Protection forms) • Dissertations • Implementation of the revised set of descriptors is expected in autumn

  26. Form/genre controlled vocabulary (types of publications) • Term list contains appr. 70 descriptors • Different types might be credited or waived in evaluation processes • They might be given different credit points Types of book chapters (a small detail)

  27. Special metadata requirements for journals So far: • Impact factors by years • Peer reviewed/not pr • These are rather standards suitable for STM fields There is a need for developing other methods for verification the real scientific/scholarly nature of a publication. Linking to NB Periodicals would be essential.

  28. Bibliometric implementations • Automated counting, sorting of publications and citations • Summarizing IF values • Hirsch index • Display options for bibliometric data are available

  29. Bibliometric data for Katalin É. Kiss Bibliometrics

  30. Why to be interlinked with NBs? • Data creation and processing: re-using qualitative and authentic data from NBs • Analytical entries (tables of contents) can be also usable • Verification (standard, permanent links, data linking, open identifiers are significant) • In turn, NBs can benefit from the early stages of metadata life-cycle – data often appear first in MTMT, swift data can be re-used, completed, enriched • Specific metadata added by users and/or operators of the academic bibliography can enrich the NB.

  31. Who Are the Users and What Are Their Expectations? *Aspects of Academic Bibliographieswww.mtmt.hu Anikó Dudás, PhD Hungary Bibliography in the Digital AgeIFLA Satellite Meeting National Library of Poland, Warsaw, 9 August 2012

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