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http://dx.doi.org/10.3743/KOSIM.2022.39.1.045

An Exploratory Study of Biotechnology Scientists' Research Data Sharing Intention: The Moderating Effects of Academic Reputation  

Kim, Sun (성균관대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.39, no.1, 2022 , pp. 45-68 More about this Journal
Abstract
The objective of this study is to investigate the factors which influence biotechnology scientists' data sharing intention. This study employed Ostrom's theory of collective action. The target population of this study includes scientists and students of biotechnology field in South Korea. A total of 411 responses which collected by e-mail were used for the final data analysis. The summary of this study is as follows. First, norm of data sharing and academic reciprocity were found to have significant positive influences on data sharing intention directly. Second, perceived community trust was found to have significant positive influences on data sharing intention when academic reciprocity was the mediator. Third, academic reputation showed the moderating effects on the relationship between norm of data sharing and academic reciprocity, and between norm of data sharing and data sharing intention. These findings show that researchers can approach the data sharing behaviors by using the mechanism of trust, norms, reciprocity, and reputation and indicate necessity for a development of academic reputation system to promote more data sharing behaviors of researchers.
Keywords
data sharing; research data; the theory of collective action; academic reputation; reciprocity;
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Times Cited By KSCI : 11  (Citation Analysis)
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1 Kim, Y. (2018). Reputation, trust, and norms as mechanisms leading to academic reciprocity in data sharing: an empirical test of theory of collective action. Proceedings of the Association for Information Science and Technology, 55(1), 244-253. https://doi.org/10.1002/pra2.2018.14505501027   DOI
2 Lee, M. C. (2009). Predicting and explaining the adoption of online trading: an empirical study in Taiwan. Decision support systems, 47(2), 133-142. https://doi.org/10.1016/j.dss.2009.02.003   DOI
3 Matyushenko, I., Sviatukha, I., & Grigorova-Berenda, L. (2016). Modern approaches to classification of biotechnology as a part of NBIC-technologies for bioeconomy. Journal of Economics, Management and Trade, 1-14. https://doi.org/10.9734/BJEMT/2016/28151   DOI
4 Center for Women in Science, Engineering, and Technology (2017). Report on the Status of Women in Science, Engineering, and Technology (2018-01).
5 Cho, Jane (2016). Study about research data citation based on DCI (Data Citation Index). Journal of the Korean Society for Library and Information Science, 50(1), 189-207. https://doi.org/10.4275/KSLIS.2016.50.1.189   DOI
6 Choi, Myung-seok & Lee, Sang Hwan (2020). Current status and issues of data management plan in Korea. The Journal of the Korea Contents Association, 20(6), 220-229. https://doi.org/10.5392/JKCA.2020.20.06.220   DOI
7 Kim, Eun-Jeong & Nam, Tae-Woo (2012). Factor analysis of effects on research data collection. Journal of the Korean Society for Information Management, 29(2), 27-44. https://doi.org/10.3743/KOSIM.2012.29.2.027   DOI
8 Park, Miyoung, Ahn, Inja, & Nam, Seungjoo (2018). A study on the analysis of research data management and sharing of science & technology government-funded research institutes. Journal of the Korean BIBLIA Society for Library and Information Science, 29(4), 319-344. https://doi.org/10.14699/KBIBLIA.2018.29.4.319   DOI
9 Kim, Jihyun (2015). A study on the perceptions of university researchers on data management and sharing. Journal of the Korean Society for Library and Information Science, 49(3), 413-436. https://doi.org/10.4275/KSLIS.2015.49.3.413   DOI
10 Korea Data Agency (2020). 2020 Report on Data Industry Status (127004).
11 Kim, Y. & Nah, S. (2018), Internet researchers' data sharing behaviors: an integration of data reuse experience, attitudinal beliefs, social norms, and resource factors. Online Information Review, 42(1), 124-142. https://doi.org/10.1108/OIR-10-2016-0313   DOI
12 Park, Miyoung, Ahn, Inja, & Kim, Junmo (2018). A study on use case of research data sharing in biotechnology. Journal of the Korean BIBLIA Society for Library and Information Science, 29(1), 393-416. https://doi.org/10.14699/KBIBLIA.2018.29.1.393   DOI
13 Fecher, B., Friesike, S., Hebing, M., Linek, S., & Sauermann, A. (2015). A reputation economy: results from an empirical survey on academic data sharing. arXiv preprint arXiv:1503.00481. https://arxiv.org/abs/1503.00481
14 Shim, Wonsik, Ahn, Hye-yeon, & Byun, Jeayeon (2015). Strategies for improving the collection and use of research data in the humanities. Journal of the Korean Society for Library and Information Science, 49(3), 155-183. https://doi.org/10.4275/KSLIS.2015.49.3.155   DOI
15 Shim, Yunhee & Kim, Jihyun (2019). A study on the development of research data management service in a domestic university library: focused on the analysis on the needs of researchers affiliated in Seoul National University. Journal of the Korean Society for Information Management, 36(3), 61-80. https://doi.org/10.3743/KOSIM.2019.36.3.061   DOI
16 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
17 Borgman, Christine L. (2010). Research Data: Who Will Share What, with Whom, When, and Why?. RatSWD Working Paper No. 161, http://dx.doi.org/10.2139/ssrn.1714427
18 Joo, S., Kim, S., & Kim, Y. (2017). An exploratory study of health scientists' data reuse behaviors: Examining attitudinal, social, and resource factors. Aslib Journal of Information Management. https://doi.org/10.1108/AJIM-12-2016-0201   DOI
19 Kim, Y. & Stanton, J. M. (2016). Institutional and individual factors affecting scientists' data-sharing behaviors: a multilevel analysis. Journal of the Association for Information Science and Technology, 67(4), 776-799. https://doi.org/10.1002/asi.23424   DOI
20 Kim, Y. (2017). Fostering scientists' data sharing behaviors via data repositories, journal supplements, and personal communication methods. Information Processing & Management, 53(4), 871-885. https://doi.org/10.1016/j.ipm.2017.03.003   DOI
21 Wang, H. K., Yen, Y. F., & Tseng, J. F. (2015). Knowledge sharing in knowledge workers: the roles of social exchange theory and the theory of planned behavior. Innovation, 17(4), 450-465. https://doi.org/10.1080/14479338.2015.1129283   DOI
22 Zenk-Moltgen, W., Akdeniz, E., Katsanidou, A., Nabhoven, V., & Balaban, E. (2018). Factors influencing the data sharing behavior of researchers in sociology and political science. Journal of Documentation. https://doi.org/10.1108/JD-09-2017-0126   DOI
23 Kim, Moonjeong & Kim, Seong-Hee (2015). A study on the factors affecting sharing of research data of science and technology researchers. Journal of the Korean Society for Library and Information Science, 49(2), 313-334. https://doi.org/10.4275/KSLIS.2015.49.2.313   DOI
24 Tenopir, C., Rice, N. M., Allard, S., Baird, L., Borycz, J., Christian, L., Grant, B., Olendorf, R., & Sandusky, R. J. (2020). Data sharing, management, use, and reuse: practices and perceptions of scientists worldwide. PloS One, 15(3), e0229003. https://doi.org/10.1371/journal.pone.0229003   DOI
25 Wallis, J. C., Rolando, E., & Borgman, C. L. (2013). If we share data, will anyone use them? data sharing and reuse in the long tail of science and technology. PloS One, 8(7), e67332. https://doi.org/10.1371/journal.pone.0067332   DOI
26 Wang, H. K., Tseng, J. F., & Yen, Y. F. (2014). How do institutional norms and trust influence knowledge sharing? an institutional theory. Innovation, 16(3), 374-391. https://doi.org/10.1080/14479338.2014.11081994   DOI
27 Stieglitz, S., Wilms, K., Mirbabaie, M., Hofeditz, L., Brenger, B., Lopez, A., & Rehwald, S. (2020). When are researchers willing to share their data?-Impacts of values and uncertainty on open data in academia. Plos One, 15(7), e0234172. https://doi.org/10.1371/journal.pone.0234172   DOI
28 Chiu, C. M., Lin, H. Y., Sun, S. Y., & Hsu, M. H. (2009). Understanding customers' loyalty intentions towards online shopping: an integration of technology acceptance model and fairness theory. Behaviour & Information Technology, 28(4), 347-360. https://doi.org/10.1080/01449290801892492   DOI
29 Linek, S. B., Fecher, B., Friesike, S., & Hebing, M. (2017). Data sharing as social dilemma: influence of the researcher's personality. PloS One, 12(8), e0183216. https://doi.org/10.1371/journal.pone.0183216   DOI
30 Ostrom, E. (2003). Toward a behavioral theory linking trust, reciprocity, and reputation. In E. Ostrom & J. Walker (Eds.). Trust and reciprocity: Interdisciplinary lessons from experimental research. New York: Russell Sage Foundation, 19-79.
31 Tamjidyamcholo, A., Baba, M. S. B., Tamjid, H., & Gholipour, R. (2013). Information security- Professional perceptions of knowledge-sharing intention under self-efficacy, trust, reciprocity, and shared-language. Computers & Education, 68, 223-232. https://doi.org/10.1016/j.compedu.2013.05.010   DOI
32 Chang, H. H. & Chuang, S. S. (2011). Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator. Information & Management, 48(1), 9-18. https://doi.org/10.1016/j.im.2010.11.001   DOI
33 Choi, Myung-seok, Lee, Seung-Bock, & Lee, Sang Hwan (2017). Research data management of science and technology research institutes in Korea. The Journal of the Korea Contents Association, 17(12), 117-126. https://doi.org/10.5392/JKCA.2017.17.12.117   DOI
34 Kim, Ju-Seop, Han, Yeonjung, Youe, Won-Jae, Jeon, Ye-rin, & Kim, Sun Tae (2020). The study on research data management of researchers in the field of forestry engineering using DAF(Data Asset Framework): focused on national institute of forest science. Journal of Korean Library and Information Science Society, 51(2), 103-131. https://doi.org/10.16981/KLISS.51.2.202006.103   DOI
35 Lee, Hyun-Sil & Yang, Ji-ahn (2017). SPSS/AMOS Statistical Analysis Navigation for Thesis. Seoul: Hannarae Publisher.
36 Shim, Wonsik (2019). A case study of the australian research data policy and support services. Journal of the Korean Society for Information Management, 36(4), 227-251. https://doi.org/10.3743/KOSIM.2019.36.4.227   DOI
37 Ajzen, I. & Fishbein, M. (2005). The Influence of Attitudes on Behavior. In D. Albarracin, B. T. Johnson, & M. P. Zanna (Eds.). The handbook of attitudes. Lawrence Erlbaum Associates Publishers, 173-221.
38 Fecher, B., Friesike, S., & Hebing, M. (2015). What drives academic data sharing?. PloS One, 10(2), e0118053. https://doi.org/10.1371/journal.pone.0118053   DOI