PROBLEMS OF BIBLIOGRAPHICAL MANAGERS FOR SCIENCE AUTOMATIZATION: APPROACH TO SOLVE AND ONTOLOGICAL VEIWPOINT
DOI:
https://doi.org/10.62405/osi.2024.01.04Keywords:
Open Science; FAIR Principles; Reference Managers; Author Identification; Digital Identifiers; Ontological Tools.Abstract
This paper explores the functionalities and limitations of major reference manager systems, focusing on their role in solving the author identification problem in academic research. It critically analyzes the features of popular reference managers like Zotero, EndNote, Mendeley, SciWheel, and Paperpile, assessing their capabilities in reference management and their approaches to author identification. The study reveals that while these systems offer robust reference management functionalities, including citation generation, bibliography management, and collaborative tools, they fall short in integrating advanced author identification mechanisms, such as ORCID. The lack of such features highlights a significant gap in current reference management solutions, impacting the accuracy and efficiency of scholarly communication. The paper emphasizes the need for enhanced features in reference managers to address author identification challenges effectively, particularly in the context of Open Science and FAIR data management principles. This study contributes to the understanding of current limitations in reference managers and underscores the importance of developing advanced features for accurate author attribution in the digital era of academic research. It focuses on using additional integrational data about the authors by using ORCID as the main identifier. This solution is crucial for countries with non-Latin alphabet, including Cyrillic.
References
Bednar, P., Ivancakova, J., & Sarnovsky, M. (2022). Semantic automatization of the data-analytical processes. 2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI), 000239–000242. https://doi.org/10.1109/SACI55618.2022.9919438
Chukanova, S. (2022). The FAIR concept in the context of Open Science. First International Conference “Open Science and Innovation in Ukraine 2022,” 72–73. https://doi.org/10.35668/978-966-479-129-5-4-1
De Bie, T., De Raedt, L., Hernández-Orallo, J., Hoos, H. H., Smyth, P., & Williams, C. K. I. (2021). Automating Data Science: Prospects and Challenges. 65(3), 76–87. https://doi.org/10.1145/3495256
Dierkes, E., Jung, F., & Büskens, C. (2021). Data-based models of drive technology for automation in automotive production. Proceedings Applied Mathematics and Mechanics, 20(1). https://doi.org/10.1002/pamm.202000286
Dovhyi, S., Stryzhak, O., & Globa, L. (2020). Transdisciplinary Fundamentals of Information-Analytical Activity. Advances in Information and Communication Technology and Systems, MCT 2019. Lecture Notes in Networks and Systems, 152(152), 99–126. https://doi.org/10.1007/978-3-030-58359-0_7
Durante, M., Indelicato, P., Jonson, B., Koch, V., Langanke, K., Meißner, U.-G., Nappi, E., Nilsson, T., Stöhlker, T., Widmann, E., & Wiescher, M. (2019). All the fun of the FAIR: fundamental physics at the facility for antiproton and ion research. Physica Scripta, 94(3), 033001. https://doi.org/10.1088/1402-4896/aaf93f
Francavilla, M. L. (2018). Learning, teaching and writing with reference managers. Pediatric Radiology, 48(10), 1393–1398. https://doi.org/10.1007/s00247-018-4175-z
Globa, L., Novogrudskaya, R., Zadoienko, B., & Stryzhak, O. Y. (2020). Ontological Model for Scientific Institutions Information Representation. International Conference on Problems of Infocommunications. Science and Technology (PIC S&T), 255–258. https://doi.org/10.1109/PICST51311.2020.9467984
Globa, L., Sulima, S., Skulysh, M., Dovgyi, S., & Stryzhak, O. Y. (2020). Architecture and Operation Algorithms of Mobile Core Network with Virtualization. IntechOpen, 32, 137–144. http://www.intechopen.com/books/trends-in-telecommunications-technologies/gps-total-electroncontenttec- prediction-at-ionosphere-layer-over-the-equatorial-region%0AInTec
Hut, R. (2022). FAIR Models. Groundwater, 60(3), 309–310. https://doi.org/10.1111/gwat.13180
Iatsyshyn, A. V, Popov, O. O., Kovach, V. O., Iatsyshyn, A. V, Artemchuk, V. O., Radchenko, O. O., Deinega, I. I., & Kovalenko, V. V. (2021). Formation of the scientist image in modern condi-tions of digital society transformation. Journal of Physics: Conference Series, 1840(1), 012039. https://doi.org/10.1088/1742-6596/1840/1/012039
Meade, M., DiCiurcio, W., Radack, T., Michael, M., & Woods, B. (2023). Reference Managers. Clinical Spine Surgery: A Spine Publication. https://doi.org/10.1097/BSD.0000000000001532
Méndez Fernández, D., Monperrus, M., Feldt, R., & Zimmermann, T. (2019). The open science initiative of the Empirical Software Engineering journal. Empirical Software Engineering, 24(3), 1057–1060. https://doi.org/10.1007/s10664-019-09712-x
Prykhodnyuk, V. V., Gorborukov, V. V., & Franchuk, O. V. (2023). Ontological principles of knowledge management in the context of educational and research activities. Scientific Notes of the Small Academy of Sciences of Ukraine, 3 (28), 62–70. (In Ukraine)
Prykhodniuk, V. V., Gorborukov, V. V., Shapovalov, E. B., & Savchenko, Ya. V. (2023). The use of information and analytical platforms in the organization of scientific and research activities on an adaptive basis. 2nd International Scientific Forum “Adaptive Processes in Education”, 259–261.
Ramachandran, R., Bugbee, K., & Murphy, K. (2021). From Open Data to Open Science. Earth and Space Science, 8(5). https://doi.org/10.1029/2020EA001562 (In Ukraine)
Shapovalov, Y. B., Shapovalov, V. B., Tarasenko, R. A., Bilyk, Z., Shapovalova, I., Paschke, A., & Andruszkiewicz, F. (2022). Practical application of systemizing expedition research results in the form of taxonomy. Educational Technology Quarterly, 3, 216–231. https://doi.org/10.55056/etq.40
Shapovalov, Y. B., & Shapovalov, V. B. V. (2021). A Taxonomic Representation of Scientific Studies. Proceedings of the 17th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume I: Main Conference, PhD Symposium, and Posters, 3013, 353–360. http://ceur-ws.org/Vol3013/20210353.pdf
Shapovalov, Ye. B., Shapovalov, V. B., Stryzhak, O. E., & Salyuk, A. I. (2018). Use of ontological tools for systematization and analysis of information on waste disposal by methanogenesis. Ecological Safety and Nature Use, 27(3), 68–79. http://esournal.in.ua/issue/view/9395 (In Ukraine)
Singha Roy, S., Mercer, R. E., & Urra, F. (2020). Investigating Citation Linkage as a Sentence Similarity Measurement Task Using Deep Learning (pp. 483–495). https://doi.org/10.1007/978-3-030-47358-7_50
Stryzhak, O., Dovgyi, S., Popova, M., & Chepkov, R. (2021). Transdisciplinary Principles of Narrative Discourse as a Basis for the Use of Big Data Communicative Properties (pp. 258–273). https://doi.org/10.1007/978-3-030-73103-8_17
Stryzhak, O. Y. (2020). Taxonomic principles of narrative discourse. MEDICAL INFORMATICS AND ENGINEERING, 2, 137–147. https://doi.org/10.11603/mie.1996-1960.2020.2.11186
Stryzhak, O. Y., Horborukov, V., Prychodniuk, V., Franchuk, O., & Chepkov, R. (2021). Decisionmaking System Based on The Ontology of The Choice Problem. Journal of Physics: Conference Series, 1828(1), 012007–0. https://doi.org/10.1088/1742-6596/1828/1/012007
Tarasenko, R. A., Shapovalov, V. B., Shapovalov, Y. B., Usenko, S. A., Savchenko, I. N., Pachenko, E. U., & Paschke, A. (2020). Comparison of ontology with non-ontology tools for educational research. Proceedings of the 8th Workshop on Cloud Technologies in Education (CTE 2020), CEUR, 2879, 82–104. http://ceur-ws.org/Vol-2879/paper02.pdf
Vicente-Saez, R., & Martinez-Fuentes, C. (2018). Open Science now: A systematic literature review for an integrated definition. Journal of Business Research, 88, 428–436. https://doi.org/10.1016/j.jbusres.2017.12.043
Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1), 160018. https://doi.org/10.1038/sdata.2016.18
