Skip to main content
Log in

Open Access Bibliographic Resources for Maintaining a Bibliographic Database of Research Organization

  • Published:
Scientific and Technical Information Processing Aims and scope

Abstract

Appealing to external bibliographic systems is an inevitable stage when organizing in-house resources in research libraries and information services. On the one hand, data from external sources can be widely used when working with institutional repositories, e.g., at the stage of searching for data on the organization’s papers, creating alerts for new entries or exporting data using appropriate formats to cut the time for bibliographic metadata processing. On the other hand, the most complete data from in-house databases can be used for data correction in external bibliographic systems to increase data accuracy in the organization’s publication profiles and enhancing the visibility of bibliographic information for the scientific community. During this time of open science, the use of open access bibliographic systems is becoming more promising, especially in the light of expensiveness and other problems with access to commercial bibliographic products. The paper draws on a set of papers of one of the Russian Academy of Sciences organizations to demonstrate the facilities of open access bibliographic resources when working with institutional repository. We compare the previously used commercial systems Web of Science and Scopus with the open access Russian Science Citation Index, Dimensions, and Lens with regard to coverage of organizations’ papers, as well as external databases’ appropriateness for library technological processes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.

REFERENCES

  1. Stukalova, A.A., Functional capabilities of higher education institutions’ repositories-members of the program “Priority-2030”, Tr. GPNTB Sib. Otd. Ross. Akad. Nauk, 2022, no. 2, pp. 36–47. https://doi.org/10.20913/2618-7515-2022-2-36-47

  2. Mazov, N.A. and Gureyev, V.N., Publication databases of research organizations as a tool for information studies, Sci. Tech. Inf. Process., 2022, vol. 49, no. 2, pp. 108–118. https://doi.org/10.3103/s0147688222020071

    Article  Google Scholar 

  3. Zakharova, S.S. and Gureeva, Ju.A., Scientific publications: From a library card index to bibliographic profiles, Bibliosfera, 2017, no. 2, pp. 85–89. https://doi.org/10.20913/1815-3186-2017-2-85-89

  4. Al’perin, B.L., Vedyagin, A.A., and Zibareva, I.V., SciAct—An information-analytical system of the Institute of Catalysis of Siberian Branch, Russian Academy of Sciences, to monitor and promote sceintific activities, Tr. GPNTB Sib. Otd. Ross. Akad. Nauk, 2015, vol. 9, pp. 95–102.

    Google Scholar 

  5. Kovyazina, E.V., Digital archive of scientific publications: The stages of development, Nauchn. Tekh. Bibl., 2014, no. 2, pp. 19–26.

  6. Vlasova, S.A., Automated system for supporting a database of scientific works of academic institution’s employees, Inf. Resur. Ross., 2020, no. 5, pp. 29–31.

  7. Busygina, T.V., Balutkina, N.A., Lavrik, O.L., Mandrinina, L.A., and Elepov, B.S., Library database of the staff of institutions of the Siberian Branch of the Russian Academy of Sciences as a tool for scientometric studies, Inf. Byulleten RBA, 2013, vol. 66, pp. 192–200.

    Google Scholar 

  8. Bazhenov, S.R., Balutkina, N.A., and Stukalova, A.A., The concept of new information system of SB RAS State Public Scientific and Technological Library based on IRBIS64+, Nauchn. Tekh. Bibl., 2023, no. 3, pp. 80–101. https://doi.org/10.33186/1027-3689-2023-3-80-101

  9. Bazhenov, S.R., Danilin, M.V., and Rogoznikova, O.A., Integrating database of organization publications with scientific citation indices with IRBIS64 ALIS functionality, Biblioteki i informatsionnye resursy v sovremennom mire nauki, kul’tury, obrazovaniya i biznesa. Trudy 22-i Mezhdunarodnoi konferentsii Krym-2015 (Libraries and Information Resources in Modern World of Science, Culture, Education, and Business: Proc. 22nd Int. Conf.), Sudak, Russia, 2015, Moscow: Izd-vo GPNTB Rossii, 2015, pp. 1–4.

  10. Lappalainen, Yr. and Narayanan, N., Harvesting publication data to the institutional repository from Scopus, Web of Science, Dimensions and Unpaywall using a custom R script, J. Acad. Librarianship, 2023, vol. 49, no. 1, p. 102653. https://doi.org/10.1016/j.acalib.2022.102653

    Article  Google Scholar 

  11. Zhang, H., Boock, M., and Wirth, A.A., It takes more than a mandate: Factors that contribute to increased rates of article deposit to an institutional repository, J. Librarianship Scholarly Commun., 2015, vol. 3, no. 1. https://doi.org/10.7710/2162-3309.1208

  12. Bull, J. and Schultz, T.A., Harvesting the academic landscape: Streamlining the ingestion of professional scholarship metadata into the institutional repository, J. Librarianship Scholarly Commun., 2018, vol. 6, no. 1. https://doi.org/10.7710/2162-3309.2201

  13. Li, Yu., Harvesting and repurposing metadata from Web of Science to an institutional repository using web services, D-Lib Mag., 2016, vol. 22, no. 3/4. https://doi.org/10.1045/march2016-li

  14. Peroni, S. and Shotton, D., OpenCitations, an infrastructure organization for open scholarship, Quant. Sci. Stud., 2020, vol. 1, no. 1, pp. 428–444. https://doi.org/10.1162/qss_a_00023

    Article  Google Scholar 

  15. Gureev, V.N. and Mazov, N.A., Increased role of open bibliographic data in the context of restricted access to proprietary information systems, Upr. Naukoi: Teoriya Prakt., 2023, vol. 5, no. 2, pp. 49–76. https://doi.org/10.19181/smtp.2023.5.2.4

    Article  Google Scholar 

  16. Herzog, C., Hook, D., and Konkiel, S., Dimensions: Bringing down barriers between scientometricians and data, Quant. Sci. Stud., 2020, vol. 1, no. 1, pp. 387–395. https://doi.org/10.1162/qss_a_00020

    Article  Google Scholar 

  17. Hook, D.W., Porter, S.J., and Herzog, C., Dimensions: Building context for search and evaluation, Front. Res. Metrics Analytics, 2018, vol. 3, p. 23. https://doi.org/10.3389/frma.2018.00023

    Article  Google Scholar 

  18. Orduña-Malea, E. and Delgado-López-Cózar, E., Dimensions: Redescubriendo el ecosistema de la información científica, Profesional Información, 2018, vol. 27, no. 2, p. 420. https://doi.org/10.3145/epi.2018.mar.21

    Article  Google Scholar 

  19. Thelwall, M., Dimensions: A competitor to Scopus and the Web of Science?, J. Informetrics, 2018, vol. 12, no. 2, pp. 430–435. https://doi.org/10.1016/j.joi.2018.03.006

    Article  Google Scholar 

  20. Visser, M., van Eck, N.J., and Waltman, L., Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic, Quant. Sci. Stud., 2019, vol. 2, no. 1, pp. 20–41. https://doi.org/10.1162/qss_a_00112

    Article  Google Scholar 

  21. Jefferson, O.A., Koellhofer, D., Warren, B., and Jefferson, R., The Lens MetaRecord and LensID: An open identifier system for aggregated metadata and versioning of knowledge artefacts, 2019. https://doi.org/10.31229/osf.io/t56yh

  22. Penfold, R., Using the Lens database for staff publications, J. Med. Libr. Assoc., 2020, vol. 108, no. 2, pp. 341–344. https://doi.org/10.5195/jmla.2020.918

    Article  Google Scholar 

  23. Research Metrics Guidebook, Elsevier, 2018. https://www.elsevier.com/research-intelligence/resource-library/research-metrics-guidebook.

  24. Vera-Baceta, M., Thelwall, M., and Kousha, K., Web of Science and Scopus language coverage, Scientometrics, 2019, vol. 121, no. 3, pp. 1803–1813. https://doi.org/10.1007/s11192-019-03264-z

    Article  Google Scholar 

  25. Mongeon, P. and Paul-Hus, A., The journal coverage of Web of Science and Scopus: A comparative analysis, Scientometrics, 2016, vol. 106, no. 1, pp. 213–228.

    Article  Google Scholar 

  26. Martín-Martín, A., Orduna-Malea, E., and Delgado López-Cózar, E., Coverage of highly-cited documents in Google Scholar, Web Sci., Scopus: A multidisciplinary comparison, Scientometrics, 2018, vol. 116, no. 3, pp. 2175–2188. https://doi.org/10.1007/s11192-018-2820-9

    Article  Google Scholar 

  27. Mazov, N.A. and Gureev, V.N., IPGGTR: Database of treatises of the staff of the Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences (referative-fulltext bibliography), RF Certificate of State Registration of Software 2020621025, 2020.

  28. Mazov, N.A. and Gureev, V.N., IPGGAU: Author’s identification profiles, RF Certificate of State Registration of Software 2020621128, 2020.

  29. Mazov, N.A. and Gureev, V.N., Bibliographic database of the staff of an organization: Purposes, functions, sphere of use in scientometrics, Vestn. Dal’nevostochnoi Gos. Nauchn.i Bibl., 2016, no. 2, pp. 84–87.

  30. Gureev, V.N. and Mazov, N.A., Editing organization profiles in SCOPUS and the RSCI: Facilities comparison, Sci. Tech. Inf. Process., 2016, vol. 43, no. 1, pp. 66–77. https://doi.org/10.3103/S0147688216010135

    Article  Google Scholar 

  31. Web of Science Release Notes, April 13 2023: Automatic updates to claimed profiles, Clarivate, 2023. https://clarivate.com/webofsciencegroup/release-notes/ wos/web-of-science-release-notes-april-13-2023-2/. Cited June 13, 2023.

  32. Haak, L.L., Fenner, M., Paglione, L., Pentz, E., and Ratner, H., ORCID: A system to uniquely identify researchers, Learned Publishing, 2012, vol. 25, no. 4, pp. 259–264. https://doi.org/10.1087/20120404

    Article  Google Scholar 

  33. Lutai, A.V. and Lyubushko, E.E., Comparison of metadata quality in databases CrossRef, Lens, OpenAlex, Scopus, Semantic Scholar, Web of Science Core Collection, RFFI, 2023. https://podpiska.rfbr.ru/storage/reports2021/2022_meta_quality.html. Cited June 13, 2023.

  34. Sterligov, I.A., The Russian conference outbreak: Description, causes and possible policy measures, Upr. Naukoi: Teoriya Prakt., 2021, vol. 3, no. 2, pp. 222–251. https://doi.org/10.19181/smtp.2021.3.2.10

  35. Kosyakov, D.V., Anatomy of the abnormal growth in the number of Russian publications in conference proceedings in Scopus, Sci. Tech. Inf. Process., 2023, vol. 50, no. 2, pp. 96–108. https://doi.org/10.3103/S0147688223020028

    Article  Google Scholar 

  36. Singh, V.K., Singh, P., Karmakar, M., Leta, J., and Mayr, P., The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis, Scientometrics, 2021, vol. 126, no. 6, pp. 5113–5142. https://doi.org/10.1007/s11192-021-03948-5

    Article  Google Scholar 

Download references

Funding

The study was performed by projects of the State Public Scientific Technological Library of the Siberian Branch of the Russian Academy of Sciences (122040600059-7) and Trofimuk Institute of Petroleum Geology and Geophysics of the Siberian Branch of the Russian Academy of Sciences (FWZZ-2022-0028).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to N. A. Mazov or V. N. Gureyev.

Ethics declarations

The authors declare that they have no conflict of interest.

Additional information

Translated by L. Solovyova

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mazov, N.A., Gureyev, V.N. Open Access Bibliographic Resources for Maintaining a Bibliographic Database of Research Organization. Sci. Tech. Inf. Proc. 50, 211–223 (2023). https://doi.org/10.3103/S0147688223030115

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0147688223030115

Keywords:

Navigation