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The Hungarian Academic Publication Database

The Hungarian Academic Publication Database. Anikó Dudás Cath . University, Budapest. Research Support from the Library – Erasmus Staff Mobility Week Bergen, 12 May 2016. Database of Hungarian Scholarly Works. Magyar Tudományos Művek Tára (MTMT) https://www.mtmt.hu /

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The Hungarian Academic Publication Database

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  1. The Hungarian Academic Publication Database Anikó Dudás Cath. University, Budapest Research Support from the Library – Erasmus Staff Mobility Week Bergen, 12 May 2016

  2. Database of Hungarian Scholarly Works • Magyar Tudományos Művek Tára (MTMT) https://www.mtmt.hu/ • A nationalbibliography of researchpublicationsenrichedwith bibliometric features • Main goals: • to map Hungarianresearch output in alldisciplines • tobuild an up-to-datedatabase, whichhelpsresearhers, institutions and decision makers • collectsbibliographic data of scholarlyworks, artistic and technicalcreationsaswell

  3. Forpersons: Provides and presentspersonalacademicbibliographies Personalbibliographiesare an essential part of academicbiographies (cv-s) Ensurespublicity, visibility of thepublications and research performance Forinstitutions, otherbodies: Helpstooverviewthescholarly output of theuniversity Ensurespublicity and visibility of thescholarly output Main sourceforannualreports Sourceforraw bibliometric data: publicationstatistics and performance indicators Internal and externalevaluations (accreditationprocedures, applicationsforresearchgrants etc.) Refersto an institutionalknowledgepotential/capital Purposes An authoritativesourcethatreflect publication output and bibliometric impact of Authors >> Institutions >> Country

  4. MTMT is continuously being developedaccordingtotheneeds of R&D areas, theNational DoctoralCounsil, theHungarianAccreditationCommettee, The HungarianScientific Research Fund, theHungarianAcademy of Sciences and otherbodies. • thesebodiesareallinterested in thecorrect, consistent, unified and authentic data service.

  5. Registeredusers: < 52.000 authors Data curators: ~ 2.500 administrators Publications: Authors’: < 1.500.000 Citations: < 5 million Somerecentfacts Central office staff (Hungarian Academy of Sciences, Library) (highest level of permissions)

  6. Levels of metadatacurationpermissions • Author • Admin 6 • Admin 5 • Admin 4 • Admin 1-3 • His/her data • Department • Faculty • University • The whole data set, systemadmin This work requires a high-level cooperation Participation in sepcial sections

  7. University PPCU is one of thememberinstitutions • 4 faculties: • Faculty of Theology • Faculty of Humanities and SocialSciences (Piliscsaba) • Faculty of Law and PoliticalSciences • Faculty of InformationTechnology and Bionics • Has roomforappr. 400 professors/researchers • and 7000 students, 300 PhD students

  8. Managinginstitutional data (departments, persons)

  9. A personalpublicationlist

  10. Citations (references)

  11. STM fileds: Bibliographic and citation data can be importedinto MTMT fromWoS, Scopus, Medline etc. Domination of journalarticles and conferencepapers A&H and SS fields: Domination of books and bookchapters No globaldatabasesforbookchapters, norcitation indexes Restricted data coverage in WoS and Scopus Collectingcitation data: differentpossibilitiesbyfields <<>> Making evidence of citation impact has become a requirement Scholars should collect themselves citations (in many cases one-by-one) E.g. through G-Scholar, G-Books, regional citation indexes (there are only few of them) – very limeted choices for „soft” fields

  12. Threeways of trackingcitations 1) Import from prof. citation indexes - WoS, Scopus, • national licence and agreement is made betweenthevendors and theHungariancentraloffice • Mostly STM-researchersmay benefit fromthesesourses 2) Searching and pickingupfrom e-sources - Discovering, collecting, filling in one-by-one, byhand 3) Classicalreading (print/electronic) (2), (3) Typicalfor „soft” disciplines

  13. Specialfeatures: Affiliation

  14. Foundingbodies/sources

  15. Scientificjournalprestigeindicators • ImpactFactor is (almost) no more taken in consideration in Hungarianresearchassessment • MTMT incorporatesSCImago Journal Rank (SJR, Scopus, Elsevier) – accessible and reusable free • SJR is more sensitiveregardingdifferentscientificareas and differentcitationhabits

  16. NormalizedCitationImpact • Journalsarerankingaccordingtothenumber of citations (during a specifictimeperiod) and thedifferentweight of thecitedsources, and dividedaccordingtopercentiles (quartiles, deciles) • Averagepercentilesarecalculated • Scientificfiledsaretakenintoconsideration • Q1 – the top 25% • D1 – the top 10% of theexeminedjournalsatthefield, D1 shows a position of thejournalamongotherjournals in thesamefields

  17. Journal prestigeindicators (values) at MTMT

  18. MTMT journalprofiles – journalfeatures Qualitative/quantitativecriteria: • Is the J an academicone? • Is it peer-reviewed? • Has it an IF? • Is it recognizedbyothersecondary index (ERIH) Europen Reference Index forHumanities Currently is maintainedbytheNorwegian Centre for Research Data)

  19. Otherregionalrankings • Journal categories of HASestablishedby main disciplinarysections and committees • A, B, C, (D) • Instead of RANK bettertosay: JOURNAL CATEGORIES, PROFILE, FEATURES

  20. Someexamples: Stats – Authorsbyindividual performance data

  21. Publication output of a researcher

  22. Received citations

  23. Stats – Institutional data

  24. Tasks of metadatacurators - librarians • seriouslearning:bothlibrarians and scholars • librarians: theyattendtrainings; they hold trainings and consultations • preparing learningmaterials, presentations • maintainingmetadata, cleaning • intensecommunication is neededwiththemembers of theuniversitycommunity and the team of thecentraloffice • providerowstatistics, reports and basic bibliometric analysis

  25. Co-operation(with human actors) • withfacultyauthors: input, correctionbothbyscholars and librarians in a combinedmanner • with Human Resourcesdepartment (managingacademicstaffchanges) • withleaders of theuniversity (reports, statistics) • withthe MTMT office and organization (rapid, patient, responsive and accurate team)

  26. Interconnections • DoctoralCounsilsdatabase (link to P. Szolgay) • Repositories PPCU dissertations (outsorcingto REAL – Rep. Of Academic Library)

  27. The future • A large-scale IT development is in thefinalstage (nextgeneration software, linked data technology) • Linking toinstitutionalrepositories, enablinginteroperability, metadataharvesting. • Allthiswillbringresearchoutputstobettervisibility and transparency • We believe it canfulfilitsmission: tomake a transparentevidencethatcansupportbothevaluation and researchdevelopmentaswellashelp in decision makingbyfullcoverage of researchorganizations in Hungary.

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