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/ Magyar Tudományos Művek Tára (MTMT) https://www.mtmt.hu/ https://www.mtmt.hu A national bibliography of research publications enriched with bibliometric features A national bibliography of research publications enriched with bibliometric features Main goals: Main goals: to map Hungarian research output in all disciplines to map Hungarian research output in all disciplines to build an up-to-date database, which helps researhers, institutions and decision makers to build an up-to-date database, which helps researhers, institutions and decision makers collects bibliographic data of scholarly works, artistic and technical creations as well collects bibliographic data of scholarly works, artistic and technical creations as well

3. Purposes For persons: Provides and presents personal academic bibliographies Provides and presents personal academic bibliographies Personal bibliographies are an essential part of academic biographies (cv-s) Personal bibliographies are an essential part of academic biographies (cv-s) Ensures publicity, visibility of the publications and research performance Ensures publicity, visibility of the publications and research performance For institutions, other bodies: Helps to overview the scholarly output of the university Helps to overview the scholarly output of the university Ensures publicity and visibility of the scholarly output Ensures publicity and visibility of the scholarly output Main source for annual reports Main source for annual reports Source for raw bibliometric data: publication statistics and performance indicators Source for raw bibliometric data: publication statistics and performance indicators Internal and external evaluations (accreditation procedures, applications for research grants etc.) Internal and external evaluations (accreditation procedures, applications for research grants etc.) Refers to an institutional knowledge potential/capital Refers to an institutional knowledge potential/capital An authoritative source that reflect publication output and bibliometric impact of Authors >> Institutions >> Country

4. MTMT is continuously being developed according to the needs of R&D areas, the National Doctoral Counsil, the Hungarian Accreditation Commettee, The Hungarian Scientific Research Fund, the Hungarian Academy of Sciences and other bodies. MTMT is continuously being developed according to the needs of R&D areas, the National Doctoral Counsil, the Hungarian Accreditation Commettee, The Hungarian Scientific Research Fund, the Hungarian Academy of Sciences and other bodies. these bodies are all interested in the correct, consistent, unified and authentic data service. these bodies are all interested in the correct, consistent, unified and authentic data service.

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

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

7. University PPCU is one of the member institutions 4 faculties: 1.Faculty of Theology 2.Faculty of Humanities and Social Sciences (Piliscsaba) 3.Faculty of Law and Political Sciences 4.Faculty of Information Technology and Bionics Has room for appr. 400 professors/researchers and 7000 students, 300 PhD students

8. Managing institutional data (departments, persons)

9. A personal publication list

10. Citations (references)

11. Collecting citation data: different possibilities by fields STM fileds: Bibliographic and citation data can be imported into MTMT from WoS, Scopus, Medline etc. Bibliographic and citation data can be imported into MTMT from WoS, Scopus, Medline etc. Domination of journal articles and conference papers Domination of journal articles and conference papers A&H and SS fields: Domination of books and book chapters Domination of books and book chapters No global databases for book chapters, nor citation indexes No global databases for book chapters, nor citation indexes Restricted data coverage in WoS and Scopus Restricted data coverage in WoS and Scopus <<>> 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. Three ways of tracking citations 1) Import from prof. citation indexes - WoS, Scopus, national licence and agreement is made between the vendors and the Hungarian central office national licence and agreement is made between the vendors and the Hungarian central office Mostly STM-researchers may benefit from these sourses Mostly STM-researchers may benefit from these sourses 2) Searching and picking up from e-sources - Discovering, collecting, filling in one-by-one, by hand 3) Classical reading (print/electronic) (2), (3) Typical for „soft” disciplines

13. Special features: Affiliation

14. Founding bodies/sources

15. Scientific journal prestige indicators Impact Factor is (almost) no more taken in consideration in Hungarian research assessment Impact Factor is (almost) no more taken in consideration in Hungarian research assessment MTMT incorporates SCImago Journal Rank (SJR, Scopus, Elsevier) – accessible and reusable free MTMT incorporates SCImago Journal Rank (SJR, Scopus, Elsevier) – accessible and reusable free SJR is more sensitive regarding different scientific areas and different citation habits SJR is more sensitive regarding different scientific areas and different citation habits

16. Normalized Citation Impact Journals are ranking according to the number of citations (during a specific time period) and the different weight of the cited sources, and divided according to percentiles (quartiles, deciles) Journals are ranking according to the number of citations (during a specific time period) and the different weight of the cited sources, and divided according to percentiles (quartiles, deciles) Average percentiles are calculated Average percentiles are calculated Scientific fileds are taken into consideration Scientific fileds are taken into consideration Q1 – the top 25% Q1 – the top 25% D1 – the top 10% of the exemined journals at the field, D1 shows a position of the journal among other journals in the same fields D1 – the top 10% of the exemined journals at the field, D1 shows a position of the journal among other journals in the same fields

17. Journal prestige indicators (values) at MTMT

18. MTMT journal profiles – journal features Qualitative/quantitative criteria: Is the J an academic one? Is it peer-reviewed? Has it an IF? Is it recognized by other secondary index (ERIH) Europen Reference Index for Humanities Currently is maintained by the Norwegian Centre for Research Data)

19. Other regional rankings Journal categories of HAS established by main disciplinary sections and committees Journal categories of HAS established by main disciplinary sections and committees A, B, C, (D) A, B, C, (D) Instead of RANK better to say: JOURNAL CATEGORIES, PROFILE, FEATURES Instead of RANK better to say: JOURNAL CATEGORIES, PROFILE, FEATURES

20. Some examples: Stats – Authors by individual performance data

21. Publication data Type Hu lang. Publ. in Hu Publ. abroad All 76 32 70 178 Journal article31 13 21 65 in SCI/WOS 4 10 14 first author in SCI/WOS 4 9 13 last author in SCI/WOS 1 1 Book5 3 8 Book/monography+criti cal/primary source edition Chapter in book31 15 41 87 Other conference article9 4 5 18 Patents Other Publication output of a researcher

22. Received citations Bibliometric data During the last 10 years All Independent citations12952152 Independent citations in SCI/WOS and Scopus 235312 Number of Journal articles fall into the top 10% (Normalized Citation Impact) - D1 2 Number of Journal articles fall into the top quartile (Normalized Citation Impact) - Q1 4

23. Stats – Institutional data

24. Tasks of metadata curators - librarians serious learning: both librarians and scholars serious learning: both librarians and scholars librarians: they attend trainings; they hold trainings and consultations librarians: they attend trainings; they hold trainings and consultations preparing learning materials, presentations preparing learning materials, presentations maintaining metadata, cleaning maintaining metadata, cleaning intense communication is needed with the members of the university community and the team of the central office intense communication is needed with the members of the university community and the team of the central office provide row statistics, reports and basic bibliometric analysis provide row statistics, reports and basic bibliometric analysis

25. Co-operation (with human actors) with faculty authors: input, correction both by scholars and librarians in a combined manner with faculty authors: input, correction both by scholars and librarians in a combined manner with Human Resources department (managing academic staff changes) with Human Resources department (managing academic staff changes) with leaders of the university (reports, statistics) with leaders of the university (reports, statistics) with the MTMT office and organization (rapid, patient, responsive and accurate team) with the MTMT office and organization (rapid, patient, responsive and accurate team)

26. Interconnections Doctoral Counsils database (link to P. Szolgay) Doctoral Counsils database (link to P. Szolgay)link to P. Szolgaylink to P. Szolgay Repositories Repositories PPCU dissertationsPPCU dissertations (outsorcing to REAL – Rep. Of Academic Library) PPCU dissertations

27. The future A large-scale IT development is in the final stage (next generation software, linked data technology) A large-scale IT development is in the final stage (next generation software, linked data technology) Linking to institutional repositories, enabling interoperability, metadata harvesting. Linking to institutional repositories, enabling interoperability, metadata harvesting. All this will bring research outputs to better visibility and transparency All this will bring research outputs to better visibility and transparency We believe it can fulfil its mission: to make a transparent evidence that can support both evaluation and research development as well as help in decision making by full coverage of research organizations in Hungary. We believe it can fulfil its mission: to make a transparent evidence that can support both evaluation and research development as well as help in decision making by full coverage of research organizations in Hungary.