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Human Information Interaction 2024, 11(3): 1-20 |
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oroji M, hariri N, babalhavaeji F. Designing a research data management literacy model for faculty members in humanities and social sciences at Iranian public universities (affiliated with the Ministry of Science). Human Information Interaction 2024; 11 (3)
URL: http://hii.khu.ac.ir/article-1-3186-en.html
URL: http://hii.khu.ac.ir/article-1-3186-en.html
Professor of Knowledge and Information Science, Department of Communication and Knowledge Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract: (739 Views)
Introduction
Introduction There are many data collections in decision-making and every day a large number of these data are collected in research projects by humans or by devices and in this data, to better understand the issues related to data, we need to first understand the data and the literacy related to them. Data literacy is defined as information by reading, creating and communicating with data: that we can find data, make information about it, learn the tools to work with data, have less management of it. We can have, analyze and refine data, learn to share data and make simple decisions.
Research data management includes; production, access, tools, storage and reuse of research data with sufficient and easy-to-use help in virtual research infrastructures that form the main part of the monitoring cycle, which itself includes ideation. It is to create or receive, evaluate, select, ingest, preserve, store, access, reuse (Cox and Verban, 2014).
Studies on research data management are now common, while there is a global ease of research data, but it continues to be difficult to keep data easily accessible. Session, we know more than yesterday about the role of research data in the design and implementation of new research, but the trends and infrastructure to support researchers in research data management, need. (Varana, 2024).
Considering the research that has been conducted on research data management literacy, the aim of this study is to determine the components and indicators of management literacy. ) and to provide a suitable model for research data management literacy.
Methods and Materoal
The present study was conducted with a quantitative and survey method and aimed at evaluating and validating the tool built using the proposed research model. The statistical population of the National Institute of Higher Education Research and Planning was 112 academic centers affiliated with the Ministry of Science and the total number of faculty members of the humanities and social sciences of the country's public universities was 8,441. Due to the large volume of data, 360 people were selected using cluster sampling. Then, the questionnaire was completed and descriptive statistical methods (mean, deviation indices, frequency table) and inferential statistics (structural equation modeling and exploratory factor analysis) and SPSS and Smart Pls software were used to analyze the data.
Resultss and Discussion
The findings indicate that the six factors of stakeholders, services, policy, types of literacy, data cycle, and financial issues are critical together, explaining 60 percent of the total variance of changes. Also, the highest level of the level is related to the stakeholders factor with a mean of 4.09 and a standard deviation of 0.57, followed by the factors of services, policy, data life cycle, types of literacy, and financial issues, respectively. Using the Pearson correlation coefficient test, it was shown that all components of research data management literacy have a positive and significant correlation with the set at the 0.01 error level. The coefficients of the factor loadings of the subscales of research data management literacy also have a good understanding of the concept of their analysis and have a strong and significant correlation with their belief.
Conclusion
Research data management contributes to scientific integrity at different levels. When research data management literacy is sufficient, research data are accurate, complete, valid, and reliable. The risk of losing or damaging data, as well as the risk of unauthorized access, is minimized. In addition, research data can be shared with others with minimal effort and individuals can easily confirm the results.
The relationships between the components and indicators of research data management literacy from the perspective of faculty members in the humanities and social sciences of Iranian public universities show that higher than any of these components in improving the quality and efficiency of research, research data management literacy has a positive effect. The search for understanding the methods and infrastructures related to data management is a research for individuals to achieve better research results and valuable results. The results of this study show that different levels of research data management literacy among university professors know, and also need to have literacy skills in research data management that they do and create. Collecting, processing, validating, publishing, sharing, and archiving data are involved, and this is a characteristic of good research data management.
Introduction There are many data collections in decision-making and every day a large number of these data are collected in research projects by humans or by devices and in this data, to better understand the issues related to data, we need to first understand the data and the literacy related to them. Data literacy is defined as information by reading, creating and communicating with data: that we can find data, make information about it, learn the tools to work with data, have less management of it. We can have, analyze and refine data, learn to share data and make simple decisions.
Research data management includes; production, access, tools, storage and reuse of research data with sufficient and easy-to-use help in virtual research infrastructures that form the main part of the monitoring cycle, which itself includes ideation. It is to create or receive, evaluate, select, ingest, preserve, store, access, reuse (Cox and Verban, 2014).
Studies on research data management are now common, while there is a global ease of research data, but it continues to be difficult to keep data easily accessible. Session, we know more than yesterday about the role of research data in the design and implementation of new research, but the trends and infrastructure to support researchers in research data management, need. (Varana, 2024).
Considering the research that has been conducted on research data management literacy, the aim of this study is to determine the components and indicators of management literacy. ) and to provide a suitable model for research data management literacy.
Methods and Materoal
The present study was conducted with a quantitative and survey method and aimed at evaluating and validating the tool built using the proposed research model. The statistical population of the National Institute of Higher Education Research and Planning was 112 academic centers affiliated with the Ministry of Science and the total number of faculty members of the humanities and social sciences of the country's public universities was 8,441. Due to the large volume of data, 360 people were selected using cluster sampling. Then, the questionnaire was completed and descriptive statistical methods (mean, deviation indices, frequency table) and inferential statistics (structural equation modeling and exploratory factor analysis) and SPSS and Smart Pls software were used to analyze the data.
Resultss and Discussion
The findings indicate that the six factors of stakeholders, services, policy, types of literacy, data cycle, and financial issues are critical together, explaining 60 percent of the total variance of changes. Also, the highest level of the level is related to the stakeholders factor with a mean of 4.09 and a standard deviation of 0.57, followed by the factors of services, policy, data life cycle, types of literacy, and financial issues, respectively. Using the Pearson correlation coefficient test, it was shown that all components of research data management literacy have a positive and significant correlation with the set at the 0.01 error level. The coefficients of the factor loadings of the subscales of research data management literacy also have a good understanding of the concept of their analysis and have a strong and significant correlation with their belief.
Conclusion
Research data management contributes to scientific integrity at different levels. When research data management literacy is sufficient, research data are accurate, complete, valid, and reliable. The risk of losing or damaging data, as well as the risk of unauthorized access, is minimized. In addition, research data can be shared with others with minimal effort and individuals can easily confirm the results.
The relationships between the components and indicators of research data management literacy from the perspective of faculty members in the humanities and social sciences of Iranian public universities show that higher than any of these components in improving the quality and efficiency of research, research data management literacy has a positive effect. The search for understanding the methods and infrastructures related to data management is a research for individuals to achieve better research results and valuable results. The results of this study show that different levels of research data management literacy among university professors know, and also need to have literacy skills in research data management that they do and create. Collecting, processing, validating, publishing, sharing, and archiving data are involved, and this is a characteristic of good research data management.
Keywords: Research data management, Information literacy, Data management, Research data management literacy
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Referenses
Abam, Zoya & Afzali, Mohaddeseh (2023). Research Data Services (RDS) in Central Libraries of Public Universities Affiliated to the Ministry of Science, Research and Technology (MSRT). Knowledge Retrieval and semantic Systems, 10 (37), 67-112.
https://doi.org/10.22054/jks.2022.68719.1519 (In Persian)
Adika Odhiambo, Fredrick & Kwanya, Tom (2020). Research data management literacy amongst lecturers at Strathmore University, Kenya. Library Management, 41(6-7), 447-466.
Andrikopoulou, Angeliki, Rowley, Jenny & Walton, Geoff (2021). Research Data Management (RDM) and the evolving identity of academic libraries and librarians: a literature review. New Review of Academic Librarians, 28 (3), 1-13. DOI: 10.1080/13614533.2021.1964549.
Berman, E. (2017). An exploratory sequential mixed methods approach to understanding researchers’ data management practices at UVM: Integrated Findings to Develop Research Data Services. Journal of escience librarianship, 6(1). DOI: 10.7191/jeslib.2017.1098.
Carlson, J., Nelson, M. S., Johnston, L. R., & Koshoffer, A. (2015). Developing data literacy programs: Working with faculty, graduate students and undergraduates. Bulletin of the Association for Information Science and Technology, 41(6), 14-17.
Cox, Andrew.M. & Verbaan, E. (2014). Exploring Research Data Management. Facet Publishing. DOI: 10.29085/9781783302802
Fathian Dastgerdi ,Akram (2024). The Feasibility of Design and Implementation of a Research Data Management Database for Persian Scholarly Journal Articles: ISCData prototype design. Iranian Journal of Information Processing and Management. (In Persian)
Fouad ,K., Vavrek, R., M.C. Surles-Zeigler, J.R. Huie , H.L. Radabaugh , G.G. Gurkoff , U. Visser, J.S. Grethe , M.E. Martone, A.R. Ferguson, J.C. Gensel, A. Torres-Espin (2024). A practical guide to data management and sharing for biomedical laboratory researchers. Experimental Neurology 378 (2024) 114815.
GHahnaviye, Hassan, Rasouli Aza, Mohammad Rahim, Babalhavaeji, Fahimeh & Hariri, Nadjla (2020). Identify the Dimensions and Provide an Appropriate Model for Research Data Management in Medical Sciences in 7 the Country Zones. Journal of Isfahan Dental School, 17(4), 435-447. SID https://sid.ir/paper/1033763. (In Persian)
Kim, J. (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. DOI: 10.4275/KSLIS.2015.49.3.413.
Piracha, Haseeb Ahmad & Ameen, Kanwal (2018). Research Data Management Practices of Faculty Members. Pakistan Journal of Information Management & Libraries (PJIM&L), 20. DOI: 10.47657/2018201321.
Rice, R, Ekmekcioglu, Ç, Haywood, J, Jones, S, Lewis, S, Macdonald, S & Weir, T (2013). Implementing the Research Data Management Policy: University of Edinburgh Roadmap, International Journal of Digital Curation, 8(2), 194-204. DOI:10.2218/ijdc.v8i2.283.
Shen, Yi & Varvel, Virgil E (2013) Developing Data Management Services at the Johns Hopkins University. The Journal of Academic Librarianship. 39 (6), 552-557. DOI:10.1016/j.acalib.2013.06.002.
Soleimani, Ameneh, Fahimnia, Fatima , Naghshineh, Nader & Adel,Soleimani Nezhad (2020). Reuse of Research Data in Iran: Elements and Requirements. Iranian Journal of Information Processing and Management. 35 (3), 663-692. (In Persian)
Soleimani Nezhad, Adel, Droudi, Fariborz & Jahanshahi javaran, Farzaneh (2020). Investigating Research Data Management Methods and Research Data Requirements in Information Science Researchers in Iran. Iranian Journal of Information Processing and Management, 36 (2), 329-358. Doi: 10.35050/JIPM010.2020.002. (In Persian)
Soleymani, N., Mansouri, A., Shabani, A., & Siadat, S.A. (2022). Components of research data management in academic libraries. Librarianship and Information Organization Studies, 33(1), 20-39. Doi:10.30484/NASTINFO.2022.3125.2126. (In Persian)
Steeleworthy, Michael (2014). Research Data Management and the Canadian Academic Library: An Organizational Consideration of Data Management and Data Stewardship. Partnership. The Canadian Journal of Library and Information Practice and Research, 9(1). DOI: 10.21083/partnership.v9i1.2990.
Van Tuyl, S., & Michalek, G. (2015). Assessing Research Data Management Practices of Faculty at Carnegie Mellon University. Journal of Librarianship and Scholarly Communication, 3(3). DOI: 10.7710/2162-3309.1258.
Vrana, R. (2024). Research Data Management in the Croatian Academic Community: A Research Study. Publications, 12, 16. https://doi.org/10.3390/ publications12020016
Ward, C., Freiman, L., Jones, S., Molloy, L., & Snow, K. (2011). Making sense: Talking data management with researchers. International Journal of Digital Curation, 6(2), 265-273. DOI: 10.2218/ijdc.v6i2.202.
Wilson, J. A., & Jeffreys, P. (2013). Towards a unified university infrastructure: The data management roll-out at the University of Oxford. International Journal of Digital Curation, 8(2), 235-246. https://doi.org/10.2218/ijdc.v8i2.287.
Wittenberg, J., & M. Elings (2017). Building a research data management service at the University of California, Berkeley: a tale of collaboration. IFLA Journal, 43 (1), 89-97. DOI: 10.1177/0340035216686982.
Xu, Z. (2022). Research data management practice in academic libraries. Journal of Librarianship and Scholarly Communication, 10(1). https://doi.org/10.31274/ jlsc.13700. Article eP13700.
Xu, Z, Zhou, Xua, Kogut, Ashlunn & Glough, Michael (2022). Effect of online research data management instruction on social science graduate students’ RDM skills. Library and Information Science Research. 44 (4). DOI: 10.1016/j.lisr.2022.101190.
Xu, Z., Zhou, X., Kogut, A., & Watts, J. (2022). A scoping review: Synthesizing evidence on research data management instruction in academic libraries. The Journal of Academic Librarianship, 43. https://doi.org/10.1016/j.acalib.2022.102508. Article 102508.
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دستگردی فتحیان، اکرم (1403). امکان سنجی طراحی و پیادهسازی پایگاه مدیریت دادههای پژوهشی مقالات نشریان علمی فارسی: طراحی نمونه کاربردی ISCData. پژوهشنامه پردازش و مدیریت اطلاعات.
سلیمانی، ناهید، منصوری، علی، شعبانی، احمد و سیادت، سید علی (1401). شناسایی مولفههای مدیریت دادههای پژوهشی در کتابخانههای دانشگاهی. مطالعات کتابداری و سازمانی اطلاعات، 33 (1)، 20-39.Doi: 10.30484/nastinfo.2022.3125.2126.
سلیمانی ده دیوان، آمنه، فهیم نیا، فاطمه، نقشینه، نادر و سلیمانی نژاد، عادل (1399). استفاده مجدد از دادههای پژوهشی در ایران: شناسایی عناصر و الزامات. پژوهش نامه پردازش و مدیریت اطلاعات، 35 (3). 692-663. Doi: 10.35050/JIPM010.2020.035
سلیمانی نژاد، عادل، درودی، فریبرز و جهانشاهی جوواران، فرزانه (1399). بررسی شیوه های مدیریت و نیازمندهای داده پژوهشی در پژوهشگران علم اطلاعات در ایران. پردازش و مدیریت اطلاعات، 36 (2)، 329- 358. Doi: 10.35050/JIPM010.2020.002
قهنویه، حسن، رسولی آزاد، محمد رحیم، باب الحوائجی، فهیمه و حریری، نجلا (1400). پرکاربردترین مولفههای مدیریت دادههای پژوهشی (مورد پژوهی: کتابداران کتابخانههای دانشگاهی علوم پزشکی قطب 7 کشور). دانش شناسی، سال چهارم، 55.
Referenses
Abam, Zoya & Afzali, Mohaddeseh (2023). Research Data Services (RDS) in Central Libraries of Public Universities Affiliated to the Ministry of Science, Research and Technology (MSRT). Knowledge Retrieval and semantic Systems, 10 (37), 67-112.
https://doi.org/10.22054/jks.2022.68719.1519 (In Persian)
Adika Odhiambo, Fredrick & Kwanya, Tom (2020). Research data management literacy amongst lecturers at Strathmore University, Kenya. Library Management, 41(6-7), 447-466.
Andrikopoulou, Angeliki, Rowley, Jenny & Walton, Geoff (2021). Research Data Management (RDM) and the evolving identity of academic libraries and librarians: a literature review. New Review of Academic Librarians, 28 (3), 1-13. DOI: 10.1080/13614533.2021.1964549.
Berman, E. (2017). An exploratory sequential mixed methods approach to understanding researchers’ data management practices at UVM: Integrated Findings to Develop Research Data Services. Journal of escience librarianship, 6(1). DOI: 10.7191/jeslib.2017.1098.
Carlson, J., Nelson, M. S., Johnston, L. R., & Koshoffer, A. (2015). Developing data literacy programs: Working with faculty, graduate students and undergraduates. Bulletin of the Association for Information Science and Technology, 41(6), 14-17.
Cox, Andrew.M. & Verbaan, E. (2014). Exploring Research Data Management. Facet Publishing. DOI: 10.29085/9781783302802
Fathian Dastgerdi ,Akram (2024). The Feasibility of Design and Implementation of a Research Data Management Database for Persian Scholarly Journal Articles: ISCData prototype design. Iranian Journal of Information Processing and Management. (In Persian)
Fouad ,K., Vavrek, R., M.C. Surles-Zeigler, J.R. Huie , H.L. Radabaugh , G.G. Gurkoff , U. Visser, J.S. Grethe , M.E. Martone, A.R. Ferguson, J.C. Gensel, A. Torres-Espin (2024). A practical guide to data management and sharing for biomedical laboratory researchers. Experimental Neurology 378 (2024) 114815.
GHahnaviye, Hassan, Rasouli Aza, Mohammad Rahim, Babalhavaeji, Fahimeh & Hariri, Nadjla (2020). Identify the Dimensions and Provide an Appropriate Model for Research Data Management in Medical Sciences in 7 the Country Zones. Journal of Isfahan Dental School, 17(4), 435-447. SID https://sid.ir/paper/1033763. (In Persian)
Kim, J. (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. DOI: 10.4275/KSLIS.2015.49.3.413.
Piracha, Haseeb Ahmad & Ameen, Kanwal (2018). Research Data Management Practices of Faculty Members. Pakistan Journal of Information Management & Libraries (PJIM&L), 20. DOI: 10.47657/2018201321.
Rice, R, Ekmekcioglu, Ç, Haywood, J, Jones, S, Lewis, S, Macdonald, S & Weir, T (2013). Implementing the Research Data Management Policy: University of Edinburgh Roadmap, International Journal of Digital Curation, 8(2), 194-204. DOI:10.2218/ijdc.v8i2.283.
Shen, Yi & Varvel, Virgil E (2013) Developing Data Management Services at the Johns Hopkins University. The Journal of Academic Librarianship. 39 (6), 552-557. DOI:10.1016/j.acalib.2013.06.002.
Soleimani, Ameneh, Fahimnia, Fatima , Naghshineh, Nader & Adel,Soleimani Nezhad (2020). Reuse of Research Data in Iran: Elements and Requirements. Iranian Journal of Information Processing and Management. 35 (3), 663-692. (In Persian)
Soleimani Nezhad, Adel, Droudi, Fariborz & Jahanshahi javaran, Farzaneh (2020). Investigating Research Data Management Methods and Research Data Requirements in Information Science Researchers in Iran. Iranian Journal of Information Processing and Management, 36 (2), 329-358. Doi: 10.35050/JIPM010.2020.002. (In Persian)
Soleymani, N., Mansouri, A., Shabani, A., & Siadat, S.A. (2022). Components of research data management in academic libraries. Librarianship and Information Organization Studies, 33(1), 20-39. Doi:10.30484/NASTINFO.2022.3125.2126. (In Persian)
Steeleworthy, Michael (2014). Research Data Management and the Canadian Academic Library: An Organizational Consideration of Data Management and Data Stewardship. Partnership. The Canadian Journal of Library and Information Practice and Research, 9(1). DOI: 10.21083/partnership.v9i1.2990.
Van Tuyl, S., & Michalek, G. (2015). Assessing Research Data Management Practices of Faculty at Carnegie Mellon University. Journal of Librarianship and Scholarly Communication, 3(3). DOI: 10.7710/2162-3309.1258.
Vrana, R. (2024). Research Data Management in the Croatian Academic Community: A Research Study. Publications, 12, 16. https://doi.org/10.3390/ publications12020016
Ward, C., Freiman, L., Jones, S., Molloy, L., & Snow, K. (2011). Making sense: Talking data management with researchers. International Journal of Digital Curation, 6(2), 265-273. DOI: 10.2218/ijdc.v6i2.202.
Wilson, J. A., & Jeffreys, P. (2013). Towards a unified university infrastructure: The data management roll-out at the University of Oxford. International Journal of Digital Curation, 8(2), 235-246. https://doi.org/10.2218/ijdc.v8i2.287.
Wittenberg, J., & M. Elings (2017). Building a research data management service at the University of California, Berkeley: a tale of collaboration. IFLA Journal, 43 (1), 89-97. DOI: 10.1177/0340035216686982.
Xu, Z. (2022). Research data management practice in academic libraries. Journal of Librarianship and Scholarly Communication, 10(1). https://doi.org/10.31274/ jlsc.13700. Article eP13700.
Xu, Z, Zhou, Xua, Kogut, Ashlunn & Glough, Michael (2022). Effect of online research data management instruction on social science graduate students’ RDM skills. Library and Information Science Research. 44 (4). DOI: 10.1016/j.lisr.2022.101190.
Xu, Z., Zhou, X., Kogut, A., & Watts, J. (2022). A scoping review: Synthesizing evidence on research data management instruction in academic libraries. The Journal of Academic Librarianship, 43. https://doi.org/10.1016/j.acalib.2022.102508. Article 102508.
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