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The Hungarian Academic Publication Database

Access the Hungarian Academic Publication Database MTMT for research support, bibliometric data, and publication visibility. Essential for authors, institutions, and decision makers. Enhance research performance and track scholarly output effectively.

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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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