Barriers and need for dataset sharing in the publishing of research thesis

Authors

DOI:

https://doi.org/10.47909/ijsmc.192

Keywords:

datasets, PhD theses, data sharing, repository, social sciences, open science

Abstract

Objective. This study aimed to understand the reasons for the non-sharing of datasets by Indian social science doctoral researchers and to determine whether researchers fully understand the significance of dataset sharing.

Design/Methodology/Approach. A quantitative methodology was employed, entailing the administration of a questionnaire to 361 recent Indian doctoral recipients in the social sciences. The questionnaire comprised two sections: one ascertaining barriers to non-sharing of datasets and the other concerning the need of dataset sharing. Each section contained 10 statements, and responses were collected using a five-point Likert scale. Finally, a t-test was employed to ascertain if the sample means differed significantly from the population mean.

Results/Discussion. Several barriers were identified that hinder the sharing of research datasets. These included the absence of specific provisions in the regulations of the Indian apex body (University Grants Commission [UGC]) for PhD research, the lack of encouragement from research supervisors and centers to share data, the exclusion of datasets during the final defense viva-voce, challenges in sharing datasets for reasons such as their non-existence or ad-hoc compilation, and the limited peer practice of dataset sharing. The average agreement for these barriers was 82%, which was statistically significant. Concurrently, researchers concurred with the need of dataset sharing, including enhanced transparency in the research process, improved reliability of research findings, facilitation of peer researchers’ comprehension of its structure and other salient details, harmonization of Indian research with international practices of data sharing, adherence to COPE norms on research ethics, and enhancement of thesis presentation during various forums, including the final defense viva-voce. The average agreement among researchers for these needs was 87%, which was statistically significant.

Conclusions. Despite the global endorsement of data sharing as a highly desirable research practice, Indian researchers from the social sciences domain often face various challenges that prevent them from sharing their datasets. The non-sharing of datasets could raise concerns about the authenticity and reliability of research. Concurrently, the study indicated that researchers were aware of the advantages associated with data sharing. Collective action from the apex regulatory authority (UGC), research centers, research supervisors, and research scholars could lead to a desired improvement, particularly in the sharing of underlying datasets, which would enhance the reliability and transparency of research.

Originality/value. This study represented a novel effort to comprehend the significant barriers to data-sharing practices in research within the context of Indian doctoral education in the social sciences and demonstrated that researchers exhibit a favorable disposition toward data sharing. This study contributed to the advancement of policy and practice regarding data sharing, with the objective of enhancing transparency, openness, and accountability in scientific research.

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References

Alter, G., & Gonzalez, R. (2018). Responsible practices for data sharing. American Psychologist, 73(2), 146. https://doi.org/10.1037/amp0000258 DOI: https://doi.org/10.1037/amp0000258

Borgman, C. L. (2012). The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, 63(6), 1059–1078. https://doi.org/10.1002/asi.22634 DOI: https://doi.org/10.1002/asi.22634

Brown, J. D. (2011). Likert items and scales of measurement. Statistics, 15(1), 10–14. https://hosted.jalt.org/test/bro_34.htm

Brown, S.M., McBride, G., Collingridge, D.S. (2015). Validation of the Intermountain patient perception of quality (PPQ) survey among survivors of an intensive care unit admission: A retrospective validation study. BMC Health Services Research, 15, 155. https://doi.org/10.1186/s12913-015-0828-x DOI: https://doi.org/10.1186/s12913-015-0828-x

Chaplin, M. (2004). A challenge to conservationists. World Watch Magazine, 17(6). www.worldwatch.org/node/565

Cheah, P. Y., Tangseefa, D., Somsaman, A., Chunsuttiwat, T., Nosten, F., Day, N. P., Bull, S., & Parker, M. (2015). Perceived benefits, harms, and views about how to share data responsibly: A qualitative study of experiences with and attitudes toward data sharing among research staff and community representatives in Thailand. Journal of Empirical Research on Human Research Ethics, 10(3), 278–289. https://doi.org/10.1177/1556264615592388 DOI: https://doi.org/10.1177/1556264615592388

Colavizza, G., Hrynaszkiewicz, I., Staden, I., Whitaker, K., & McGillivray, B. (2020). The citation advantage of linking publications to research data. PLoS One, 15(4), Article e0230416. https://doi.org/10.1371/journal.pone.0230416 DOI: https://doi.org/10.1371/journal.pone.0230416

Corti, L., Van den Eynden, V., Bishop, L., & Woollard, M. (2019). Managing and sharing research data: A guide to good practice. Sage.

Department of Higher Education. (n.d.). All India Survey on Higher Education (AISHE) Annual Reports from 2013 to 2020-21. https://aishe.gov.in/aishe/home

Emerald. (2025). Quality assurance in education. Emerald Publishing. https://www.emeraldgrouppublishing.com/journal/qae

Fienberg, S. E., Martin, M. E., & Straf, M. L. (1985). Sharing research data (pp. 8–225). National Academy Press.

Gabelica, M., Bojčić, R., & Puljak, L. (2022). Many researchers were not compliant with their published data sharing statement: A mixed-methods study. Journal of Clinical Epidemiology, 150, 33–41. https://doi.org/10.1016/j.jclinepi.2022.05.019 DOI: https://doi.org/10.1016/j.jclinepi.2022.05.019

Houtkoop, B. L., Chambers, C., Macleod, M., Bishop, D. V., Nichols, T. E., & Wagenmakers, E. J. (2018). Data sharing in psychology: A survey on barriers and preconditions. Advances in Methods and Practices in Psychological Science, 1(1), 70–85. https://doi.org/10.1177/2515245917751886 DOI: https://doi.org/10.1177/2515245917751886

Kamikubo, R., Dwivedi, U., & Kacorri, H. (2021). Sharing practices for datasets related to accessibility and aging. In Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (pp. 1–16). https://doi.org/10.1145/3441852.3471208 DOI: https://doi.org/10.1145/3441852.3471208

Kaye, J., Heeney, C., Hawkins, N., de Vries, J., & Boddington, P. (2009). Data sharing in genomics—Re-shaping scientific practice. Nature Reviews Genetics, 10, 331–335. https://doi.org/10.1038/nrg2573 DOI: https://doi.org/10.1038/nrg2573

Khedkar, E. B., Kumar, A., Ingle, A., Khaire, R., Paliwal, J. M., Bagul, D., Warpade, S., Londhe, B. M., Malkar, V., Huddedar, S. P., Jambhekar, N. D., & Raibagkar, S. S. (2022). Study of the causes and consequences of cloned journal publications. Publishing Research Quarterly, 38(3), 558–572. https://doi.org/10.1007/s12109-022-09907-z DOI: https://doi.org/10.1007/s12109-022-09907-z

Koch, B., Denton, E., Hanna, A., & Foster, J. G. (2021). Reduced, reused and recycled: The life of a dataset in machine learning research. arXiv preprint arXiv:2112.01716. https://arxiv.org/abs/2112.01716

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177%2F001316447003000308 DOI: https://doi.org/10.1177/001316447003000308

Kumar, A., Brar, V., Chaudhari, C., & Raibagkar, S. S. (2022a). Discrimination against private-school students under a special quota for the underprivileged: A case in India. Asia Pacific Education Review, 1–10. https://doi.org/10.1007/s12564-022-09815-z DOI: https://doi.org/10.1007/s12564-022-09815-z

Kumar, A., Gawande, A., & Raibagkar, S. (2022b). Quality complacency in Indian higher education institutions between the second and third cycles of accreditation. Quality Assurance in Education, 30(4), 431–445. https://doi.org/10.1108/QAE-01-2022-0019 DOI: https://doi.org/10.1108/QAE-01-2022-0019

Kumar, A., Gawande, A., Agarwal, A., Kale, S., Brar, V., & Raibagkar, S. (2023). Sealing the gaps: Enhancing quality control in business school dissertations. Quality Assurance in Education, 31(3), 469–484. https://doi.org/10.1108/QAE-12-2022-0207 DOI: https://doi.org/10.1108/QAE-12-2022-0207

Kumar, A., Gawande, A., Kale, S. K., Agarwal, A., Brar, V., & Raibagkar, S. (2025). The impact of an effective academic audit on accreditation performance. Quality Assurance in Education. Ahead-of-print. https://doi.org/10.1108/QAE-12-2024-0275 DOI: https://doi.org/10.1108/QAE-12-2024-0275

Markiewicz, C. J., Gorgolewski, K. J., Feingold, F., Blair, R., Halchenko, Y. O., Miller, E., Hardcastle, N., Wexler, J., Esteban, O., Goncavles, M., Jwa, A., & Poldrack, R. (2021). The OpenNeuro resource for sharing of neuroscience data. Elife, 10, Article e71774. https://doi.org/10.7554/eLife.71774 DOI: https://doi.org/10.7554/eLife.71774

Martone, M. E., Garcia-Castro, A., & VandenBos, G. R. (2018). Data sharing in psychology. American Psychologist, 73(2), 111. https://psycnet.apa.org/doi/10.1037/amp0000242 DOI: https://doi.org/10.1037/amp0000242

McLeod, J., & O’Connor, K. (2022). Ethics, archives and data sharing in qualitative research. In The university as an ethical academy? (pp. 105–117). Routledge. DOI: https://doi.org/10.4324/9781003324881-10

Michener, W. K. (2015). Ecological data sharing. Ecological Informatics, 29, 33–44. https://doi.org/10.1016/j.ecoinf.2015.06.010 DOI: https://doi.org/10.1016/j.ecoinf.2015.06.010

Obiora, O. L., Shead, D. A., & Olivier, B. (2024). Data sharing considerations and practice among health researchers in Africa: A scoping review. Digital Health, 10, 20552076241290955. https://doi.org/10.1177/20552076241290955 DOI: https://doi.org/10.1177/20552076241290955

OECD. (2019). Education at a glance 2019. https://doi.org/10.1787/f8d7880d-en DOI: https://doi.org/10.1787/f8d7880d-en

Piwowar, H. A., Day, R. S., & Fridsma, D. B. (2007). Sharing detailed research data is associated with increased citation rate. PLoS One, 2(3), Article e308. https://doi.org/10.1371/journal.pone.0000308 DOI: https://doi.org/10.1371/journal.pone.0000308

Polanin, J. R., & Terzian, M. (2019). A data sharing agreement helps to increase researchers’ willingness to share primary data: Results from a randomized controlled trial. Journal of Clinical Epidemiology, 106, 60–69. https://doi.org/10.1016/j.jclinepi.2018.10.006 DOI: https://doi.org/10.1016/j.jclinepi.2018.10.006

Popkin, G. (2019). Data sharing and how it can benefit your scientific career. Nature, 569(7756), 445–447. https://doi.org/10.1038/d41586-019-01506-x DOI: https://doi.org/10.1038/d41586-019-01506-x

Sanabria-Z, J., Alfaro-Ponce, B., Gonzalez-Perez, L. I., & Ramirez-Montoya, M. S. (2024). Reusable educational resources for developing complex thinking on open platforms. Education and Information Technologies, 29(1), 1173–1199. https://doi.org/10.1007/s10639-023-12316-0 DOI: https://doi.org/10.1007/s10639-023-12316-0

Shodhganga. (2024). Shodhganga: A reservoir of Indian theses @ Inflibnet. https://shodhganga.inflibnet.ac.in/

Singh, M., Paliwal, J., Rao, M. K., & Raibagkar, S. (2024). Impact of goal congruence on higher education institutions’ performance quality. Quality Assurance in Education, 32(3), 387–400. https://doi.org/10.1108/QAE-12-2023-0215 DOI: https://doi.org/10.1108/QAE-12-2023-0215

Springer Nature. (2025). Journal of Academic Ethics. https://link.springer.com/journal/10805/submission-guidelines

Taylor and Francis. (2025). Journal of Business & Finance librarianship. https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=wbfl20#data sharing-policy

Tedersoo, L., Küngas, R., & Oras, E. (2021). Data sharing practices and data availability upon request differ across scientific disciplines. Science Data, 8, 192. https://doi.org/10.1038/s41597-021-00981-0 DOI: https://doi.org/10.1038/s41597-021-00981-0

Terry, R. F., & Littler, K. (2024). 7 Research, Sample, and Data Sharing During Outbreaks, Pandemics, and Beyond. Principles and Practice of Emergency Research Response, 147-166. https://link.springer.com/chapter/10.1007/978-3-031-48408-7_9 DOI: https://doi.org/10.1007/978-3-031-48408-7_9

Tenopir, C., Christian, L., Allard, S., & Borycz, J. (2018). Research data sharing: Practices and attitudes of geophysicists. Earth and Space Science, 5(12), 891–902. https://doi.org/10.1029/2018EA000461 DOI: https://doi.org/10.1029/2018EA000461

The TQM Journal. (2025). Retraction notice: Achieving organizational performance by integrating industrial Internet of things in the SMEs: A developing country perspective. The TQM Journal, 37(1), 288–288. https://doi.org/10.1108/TQM-11-2024-0438 DOI: https://doi.org/10.1108/TQM-11-2024-0438

Toronto International Data Release Workshop Authors. (2009). Prepublication data sharing. Nature, 461, 168–170. https://doi.org/10.1038/461168a DOI: https://doi.org/10.1038/461168a

University Grants Commission. (2022). Ph.D. regulations. https://www.ugc.gov.in/pdfnews/0909572_Minimum-Standards-and-Procedure-for-Award-of-PhD-Degree.pdf

Vlahou, A., Hallinan, D., Apweiler, R., Argiles, A., Beige, J., Benigni, A., Bischoff, R., Black, P. C., Boehm, F., Céraline, J., Chrousos, G. P., Delles, C., Evenepoel, P., Fridolin, I., Glorieux, G., van Gool, A. J., Heidegger, I., Ioannidis, J. P. A., Jankowski, J. & Vanholder, R. (2021). Data sharing under the General Data Protection Regulation: Time to harmonize law and research ethics? Hypertension, 77(4), 1029–1035. https://doi.org/10.1161/HYPERTENSIONAHA.120.16340 DOI: https://doi.org/10.1161/HYPERTENSIONAHA.120.16340

Walter, M., Lovett, R., Maher, B., Williamson, B., Prehn, J., Bodkin‐Andrews, G., & Lee, V. (2021). Indigenous data sovereignty in the era of big data and open data. Australian Journal of Social Issues, 56(2), 143–156. https://doi.org/10.1002/ajs4.141 DOI: https://doi.org/10.1002/ajs4.141

Wang, J., Chen, M., Lü, G., Yue, S., Wen, Y., Lan, Z., & Zhang, S. (2020). A data sharing method in the open web environment: Data sharing in hydrology. Journal of Hydrology, 587, Article 124973. https://doi.org/10.1016/j.jhydrol.2020.124973 DOI: https://doi.org/10.1016/j.jhydrol.2020.124973

White, C. M., Estrera, S. A., Schatschneider, C., & Hart, S. A. (2024). Getting started with data sharing: Advice for researchers in education. Research in Special Education, 1. https://doi.org/10.25894/rise.2604 DOI: https://doi.org/10.35542/osf.io/t7rnf

Woods, H. B., & Pinfield, S. (2021). Incentivising research data sharing: A scoping review. Wellcome Open Research, 6, 355. https://doi.org/10.12688%2Fwellcomeopenres.17286.2 DOI: https://doi.org/10.12688/wellcomeopenres.17286.1

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Published

2025-02-21

How to Cite

Kumar, A., Gawande, A., Paliwal, J., Pendse, V., Kale, S., Agarwal, A., Brar, V., Palav, M., Nimbalkar, S., Saini, A., Rathi, G., & Raibagkar, S. (2025). Barriers and need for dataset sharing in the publishing of research thesis. Iberoamerican Journal of Science Measurement and Communication, 5(2), 1–17. https://doi.org/10.47909/ijsmc.192

Issue

Vol. 5 No. 2 (2025): In Progress

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Original article

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Copyright (c) 2025 Atul Kumar, Amol Gawande, Jaiprakash Paliwal, Vishwas Pendse, Shailendrakumar Kale, Akash Agarwal, Vinaydeep Brar, Manesh Palav, Sagar Nimbalkar, Amandeep Saini, Gauri Rathi, Shirish Raibagkar

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