Volume 9, Issue 1 (5-2022)
Human Information Interaction 2022, 9(1): 19-33 |
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Kashefiyeh N, Khalili L, Ghasemzadeh Alishahi A. Investigation of Sharing and Reuse of Research Data among Researchers. Human Information Interaction 2022; 9 (1)
URL: http://hii.khu.ac.ir/article-1-3036-en.html
URL: http://hii.khu.ac.ir/article-1-3036-en.html
Azarbaijan Shahid Madani University
Abstract: (2832 Views)
Purpose: Sharing research data leads to the reusing that data. The purpose is to describe the status of sharing and reusing research data amongst researchers. This examines the attitude, experience and barriers in reusing research data.
Methodology: Applied quantitative survey method was used. Population was 154 participants all faculty members of Azarbaijan Shahid Madani University. Instrument was a researcher-made questionnaire which face and content validity was approved by experts. Reliability of the questionnaire was determined via Cronbach's alpha and an appropriate value of 0.774 was gained. Descriptive statistics were used by SPSS software.
Findings: Attitude of researchers towards the reusing research data with an average of 3.29 was in a relatively favorable situation. The experience of reusing research data with an average of 2.22 was not at the desired level. The average scores of legal, individual and organizational barriers were 3.45, 3.18 and 3.15, respectively. Female researchers had not as much of data sharing experience than men. The average of attitude and experience in sharing and reusing research data for agricultural researchers was significantly lower than other groups. The average of attitude for older researchers was somewhat more than that of other groups.
Conclusion: Despite the relatively favorable attitude of researchers to reuse research data, it was not at the desired level in terms of experience. Legal, individual and organizational barriers were effective barriers in research data reuse.
Methodology: Applied quantitative survey method was used. Population was 154 participants all faculty members of Azarbaijan Shahid Madani University. Instrument was a researcher-made questionnaire which face and content validity was approved by experts. Reliability of the questionnaire was determined via Cronbach's alpha and an appropriate value of 0.774 was gained. Descriptive statistics were used by SPSS software.
Findings: Attitude of researchers towards the reusing research data with an average of 3.29 was in a relatively favorable situation. The experience of reusing research data with an average of 2.22 was not at the desired level. The average scores of legal, individual and organizational barriers were 3.45, 3.18 and 3.15, respectively. Female researchers had not as much of data sharing experience than men. The average of attitude and experience in sharing and reusing research data for agricultural researchers was significantly lower than other groups. The average of attitude for older researchers was somewhat more than that of other groups.
Conclusion: Despite the relatively favorable attitude of researchers to reuse research data, it was not at the desired level in terms of experience. Legal, individual and organizational barriers were effective barriers in research data reuse.
References
1. Borgman, C. L. (2010). Research Data: who will share what, with whom, when, and why? (RatSWD Working Paper Series, 161). Berlin: Rat für Sozial- und Wirtschaftsdaten (RatSWD). https://www.ssoar.info/ssoar/handle/document/41562
2. Bull S, Cheah PY, Denny S, Jao I, Marsh V, Merson L, et al. (2015). Best practices for ethical sharing of individual-level health research data from low-and middle-income settings. Journal of Empirical Re-search on Human Research Ethics,10(3), 302-313. [DOI:10.1177/1556264615594606] [PMID] []
3. Faniel, I. M., and A. Zimmerman. (2011). Beyond the data deluge: a research agenda for large-scale data sharing and reuse. International Journal of Digital Curation, 6 (1), 58-69. [DOI:10.2218/ijdc.v6i1.172]
4. Faniel, I. M., Kriesberg, A., & Yakel, E. (2016). Social scientists' satisfaction with data reuse. Journal of the Association for Information Science and Technology, 67(6), 1404-1416. [DOI:10.1002/asi.23480]
5. Fecher, B., Friesike, S., & Hebing, M. (2015). What drives academic data sharing?. PloS one, 10(2), e0118053. [DOI:10.1371/journal.pone.0118053] [PMID] []
6. Federer, L. M., Lu, Y. L., Joubert, D. J., Welsh, J., & Brandys, B. (2015). Biomedical data sharing and reuse: attitudes and practices of clinical and scien-tific research staff. PloS one, 10(6), e0129506. [DOI:10.1371/journal.pone.0129506] [PMID] []
7. Feizabadi, M. & Vaziri, E. (2017). The Requirements of Publishers of Scientific Journals on Sharing Re-search Data: A Case Study of Iranian Medical Journals. Achievements: Fourth National Confer-ence On IT Managers (pp.97-110). Irani-an Research Institute for Information Science and Technology (IranDoc). Tehran. (in Persian)
8. Hejazi Y, Bazargan A, Eshaqi F. (2009).A step-by-step guide to internal quality assessment in the university system. Tehran: University of Tehran Press, 2009. (in Persian)
9. Herndon, T., Ash, M., & Pollin, R. (2014). Does high public debt consistently stifle economic growth? A critique of Reinhart and Rogoff. Cambridge jour-nal of economics, 38(2), 257-279. [DOI:10.1093/cje/bet075]
10. Kim, Y. (2021). A sequential route of data and document qualities, satisfaction and motivations on researchers' data reuse intentions. Journal of Documentation. Vol. ahead-of-print No. ahead-of-print. [DOI:10.1108/JD-02-2021-0044]
11. Kim, Y., & Adler, M. (2015). Social scientists' data sharing behaviors: Investigating the roles of indi-vidual motivations, institutional pressures, and data repositories. International journal of infor-mation management, 35(4), 408-418. [DOI:10.1016/j.ijinfomgt.2015.04.007]
12. Kim, Y., & Burns, C. S. (2016). Norms of data sharing in biological sciences: The roles of metadata, data repository, and journal and funding require-ments. Journal of Information Science, 42(2), 230-245. [DOI:10.1177/0165551515592098]
13. Kim, Y., & Stanton, J. M. (2012). Institutional and individual influences on scientists' data sharing practices. Journal of Computational Science Edu-cation, 3(1), 47-56. [DOI:10.22369/issn.2153-4136/3/1/6]
14. Kim, Y., & Zhang, P. (2015). Understanding data sharing behaviors of STEM researchers: The roles of attitudes, norms, and data repositories. Library & Information Science Research, 37(3), 189-200. [DOI:10.1016/j.lisr.2015.04.006]
15. M'kulama, A. C., & Akakandelwa, A. (2021). Re-search Data Sharing and Reuse Through Open Da-ta: Assessing Researcher Awareness and Percep-tions at the Zambia Agricultural Research Institute (ZARI). In Open Access Implications for Sustain-able Social, Political, and Economic Develop-ment (pp. 284-306). IGI Global. DOI: 10.4018/978-1-7998-5018-2.ch015 [DOI:10.4018/978-1-7998-5018-2.ch015]
16. Moradi M, Mazoochi M. (2022). A Comprehensive Method of Evaluating Open Government Data with the Aim of Improving Data Quality and In-creasing Citizens' Willingness. Human Information Interaction, 8 (4), 47-65. (in Persian) [DOI:10.1155/2022/5876035]
17. National Institutes of Health (NIH). (2016). NIH Sharing Policies and Related Guidance on NIH-Funded Research Resources. Available online]:https://grants.nih.gov/policy/sharing.htm.
18. National Science Foundation (NSF). (2011). Award and Administration Guide: Data Sharing Policy. Available [online]: https://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/aag_6.jsp#VID4.
19. National Science Foundation(NSF). (2010). Scientists seeking NSF funding will soon be required to sub-mit data management plans. News Release 10-077. Available [online]: https://www.nsf.gov/news/
20. Pasquetto, I. V., Randles, B. M., & Borgman, C. L. (2017). On the reuse of scientific data. Data Sci-ence Journal, 16(8), 1-9. doi:
https://doi.org/10.5334/dsj-2017-008 [DOI:10.5334/dsj-2017-008.]
21. Perrier, L., Blondal, E., & MacDonald, H. (2020). The views, perspectives, and experiences of academic researchers with data sharing and reuse: A meta-synthesis. PloS one, 15(2), e0229182. [DOI:10.1371/journal.pone.0229182] [PMID] []
22. Piwowar, H. A., & Vision, T. J. (2013). Data reuse and the open data citation advantage. PeerJ, 1, e175. [DOI:10.7717/peerj.175] [PMID] []
23. Rodriguez, V. (2009). Access to data and material for research: putting empirical evidence into perspec-tive. New Genetics and Society, 28(1), 67-86. [DOI:10.1080/14636770802670274]
24. Sarrafzadeh, M. (2015). Research data management: a new role for academic libraries. Information & communication Quarterly Book review, 2 (6), 265-273. (in Persian)
25. Sayogo, D. S., & Pardo, T. A. (2013). Exploring the determinants of scientific data sharing: Under-standing the motivation to publish research data. Government Information Quarterly, 30, S19-S31. [DOI:10.1016/j.giq.2012.06.011]
26. Si, L., Xing, W., Zhuang, X., Hua, X., & Zhou, L. (2015). Investigation and analysis of research
27. data services in university libraries. The Electronic Library, 33(3), 417-449.
28. Soleimani, A., Fahimnia, F., Naghshineh, N., & Nezhad, A. S. (2020). Reuse of Research Data in Iran: Elements and Requirements. Iranian Journal of Information Processing Management (Infor-mation science and technology), 35(3), 663-692. (in Persian)
29. Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., ... & Frame, M. (2011). Data sharing by scientists: practices and percep-tions. PloS one, 6(6), e21101. https:// doi:10.1371/journal.pone.0021101 [DOI:10.1371/journal.pone.0021101] [PMID] []
30. Tenopir, C., Dalton, E. D., Allard, S., Frame, M., Pjesivac, I., Birch, B., ... & Dorsett, K. (2015). Changes in data sharing and data reuse practices and perceptions among scientists worldwide. PloS one, 10(8), e0134826. [DOI:10.1371/journal.pone.0134826] [PMID] []
31. Tenopir, C., Rice, N. M., Allard, S., Baird, L., Borycz, J., Christian, L., ... & Sandusky, R. J. (2020). Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide. PloS one, 15(3), e0229003. [DOI:10.1371/journal.pone.0229003] [PMID] []
32. Van den Eynden, V., Corti, L., Woollard, M., Bishop, L., & Horton, L. (2011). Managing and sharing data: Best practices for researches (3rd ed.). UK: UK Data Archive; University of Essex.
33. Vaziri E., Naghshineh N. & Noroozi Chakoli A. (2018). Data Sharing: International and National Ap-proaches. Iranian journal of information pro-cessing and management, 33(3), 1013-1040. (in Persian)
34. Vaziri E., Naghshineh N., Noroozi Chakoli A., Dil-maghani M., Tofighi Sh. (2018).Data Sharing Challenges from the Perspective of the Iranian Medical Sciences Researchers. Journal of Health Administration, 20(70), 79-93. (in Persian)
35. Ward, C. H., Warren, J. A., & Hanisch, R. J. (2014). Making materials science and engineering data more valuable research products. Integrating Ma-terials and Manufacturing Innovation, 3(1), 292-308. [DOI:10.1186/s40192-014-0022-8]
36. Weber, N. M., Piwowar, H. A., & Vision, T. J. (2010). Evaluating data citation and sharing policies in the environmental sciences. Proceedings of the Ameri-can Society for Information Science and Technol-ogy, 47 (1), 1-2. [DOI:10.1002/meet.14504701445]
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