It Takes a Researcher to Know a Researcher: Academic Librarian Perspectives Regarding Skills and Training for Research Data Support in Canada
DOI:
https://doi.org/10.18438/eblip30297Abstract
Objective – This empirical study aims to contribute qualitative evidence on the perspectives of data-related librarians regarding the necessary skills, education, and training for these roles in the context of Canadian academic libraries. A second aim of this study is to understand the perspectives of data-related librarians regarding the specific role of the MLIS in providing relevant training and education. The definition of a data-related librarian in this study includes any librarian or professional who has a conventional title related to a field of data librarianship (i.e., research data management, data services, GIS, data visualization, data science) or any other librarian or professional whose duties include providing data-related services within an academic institution.
Methods – This study incorporates in-depth qualitative empirical evidence in the form of 12 semi-structured interviews of data-related librarians to investigate first-hand perspectives on the necessary skills required for such positions and the mechanisms for acquiring and maintaining such skills.
Results – The interviews identified four major themes related to the skills required for library-related data services positions, including the perceived importance of experience conducting original research, proficiency in computational coding and quantitative methods, MLIS-related skills such as understanding metadata, and the ability to learn new skills quickly on the job. Overall, the implication of this study regarding the training from MLIS programs concerning data-related librarianship is that although expertise in metadata, documentation, and information management are vital skills for data-related librarians, the MLIS is increasingly less competitive compared with degree programs that offer a greater emphasis on practical experience working with different types of data in a research context and implementing a variety of methodological approaches.
Conclusion – This study demonstrates that an in-depth qualitative portrait of data-related librarians within a national academic ecosystem provides valuable new insights regarding the perceived importance of conducting original empirical research to succeed in these roles.
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References
ACRL Research Planning and Review Committee. (2020). 2020 top trends in academic libraries: A review of the trends and issues affecting academic libraries in higher education. College & Research Libraries News, 81(6), 270-278. https://doi.org/10.5860/crln.81.6.270
Ashiq, M., & Warraich, N. F. (2022). A systematized review on data librarianship literature: Current services, challenges, skills, and motivational factors. Journal of Librarianship and Information Science. Advance online publication. https://doi.org/10.1177/09610006221083675
Barsky, E. (2019, June 20). Research data management: A view from Canada [presentation]. http://dx.doi.org/10.14288/1.0379514
Barsky, E., Laliberté L., Leahey, A., and Trimble, L. (2017). Collaborative research data curation services: A view from Canada. In L. R. Johnston (Ed.), Curating research data, volume one: Practical strategies for your digital repository (pp. 79-101). Association of College and Research Libraries.
Baxter, G., Beard, L., Beattie, G., Blake, M., Greenhall, M., Lingstadt, K., Nixon, W., & Reimer, T. (2021). Covid-19 and the future of the digital shift amongst research libraries: an RLUK perspective in context. New Review of Academic Librarianship. Advance online publication. https://doi.org/10.1080/13614533.2021.1976232
Bernard, H. R., Wutich, A., & Ryan, G. W. (2016). Analyzing qualitative data: Systematic approaches. Sage Publications.
Briney, K. & Goben, A. & Zilinski, L. (2015). Do you have an institutional data policy? A review of the current landscape of library data services and institutional data policies. Journal of Librarianship and Scholarly Communication 3(2), eP1232. https://doi.org/10.7710/2162-3309.1232
Chen, H. L., & Zhang, Y. (2017). Educating data management professionals: A content analysis of job descriptions. The Journal of Academic Librarianship, 43(1), 18-24. https://doi.org/10.1016/j.acalib.2016.11.002
Chiware, E. R. T. (2020). Data librarianship in South African academic and research libraries: a survey. Library Management, 41(6/7), 401-416. https://doi.org/10.1108/LM-03-2020-0045
Corrall, S. (2012). Roles and responsibilities: Libraries, librarians, and data. In G. Pryor (Ed.), Managing Research Data. (pp. 105-133). Facet.
Cox, A. M., Kennan, M. A., Lyon, L., & Pinfield, S. (2017). Developments in research data management in academic libraries: Towards an understanding of research data service maturity. Journal of the Association for Information Science and Technology, 68(9), 2182-2200. https://doi.org/10.1002/asi.23781
Cox, A. M., Kennan, M. A., Lyon, L., Pinfield, S., & Sbaffi, L. (2019a). Maturing research data services and the transformation of academic libraries. Journal of Documentation, 75(6), 1432-1462. https://doi.org/10.1108/JD-12-2018-0211
Cox, A. M., Kennan, M. A., Lyon, L., Pinfield, S., & Sbaffi, L. (2019b). Progress in research data services: An international survey of university libraries. International Journal of Digital Curation, 14(1), 126-135. https://doi.org/10.2218/ijdc.v14i1.595
Creswell, J. W. (1994). Research design: Qualitative and quantitative approaches. Sage.
Davis, H. M., & Cross, W. M. (2015). Using a data management plan review service as a training ground for librarians. Journal of Librarianship and Scholarly Communication, 3(2), eP1243. https://doi.org/10.7710/2162-3309.1243
Ducas, A., Michaud-Oystryk, N., & Speare, M. (2020). Reinventing ourselves: New and emerging roles of academic librarians in Canadian research-intensive universities. College & Research Libraries, 81(1), 43. https://doi.org/10.5860/crl.81.1.43
Federer, L. (2018). Defining data librarianship: a survey of competencies, skills, and training. Journal of the Medical Library Association, 106(3), 294-303. https://doi.org/10.5195/jmla.2018.306
Federer, L., Clarke, S. C., & Zaringhalam, M. (2020, January 16). Developing the librarian workforce for data science and open science. OSF Preprints. https://doi.org/10.31219/osf.io/uycax
Force11. (2014). Guiding principles for findable, accessible, interoperable and re‐usable data publishing version b1.0. https://www.force11.org/fairprinciples
Fuhr, J. (2019). “How do I do that?” A literature review of research data management skill gaps of Canadian health sciences information professionals. Journal of the Canadian Health Libraries Association/Journal de l'Association des bibliothèques de la santé du Canada, 40(2), 51-60. https://doi.org/10.29173/jchla29371
Fuhr, J. (2022). Developing data services skills in academic libraries. College & Research Libraries, 83(3), 474-502. https://doi.org/10.5860/crl.83.3.474
Goben, A., & Sapp Nelson, M. (2018a). The data engagement opportunities scaffold: Development and implementation. Journal of eScience Librarianship, 7(2), e1128. https://doi.org/10.7191/jeslib.2018.1128.
Goben, A., & Sapp Nelson, M. (2018b). Teaching librarians about data: The ACRL research data management roadshow. College & Research Libraries News, 79(7), 354-357. https://doi.org/10.5860/crln.79.7.354
Government of Canada. (2021). Tri-Agency research data management policy. https://www.science.gc.ca/eic/site/063.nsf/eng/h_97610.html
Harp, M. R. & Ogborn, M. (2019). Collaborating externally and training internally to support research data services. Journal of eScience Librarianship, 8(2), e1165. https://doi.org/10.7191/jeslib.2019.1165
Joo, S., & Schmidt, G. M. (2021). Research data services from the perspective of academic librarians. Digital Library Perspectives, 37(3), 242-256. https://doi.org/10.1108/DLP-10-2020-0106
Khair, S., Dara, R., Haigh, S., Leggott, M., Milligan, I., Moon, J., Payne, K., Portales-Casamar, E., Roquet, G., & Wilson, L. (2020). The current state of research data management in Canada: An update to the LCDRI data management position paper. New Digital Research Infrastructure Organization (NDRIO). https://engagedri.ca/assets/documents/NDRIO_RDM_PositionPaper.pdf
Pinfield, S., Cox, A. M., & Smith, J. (2014). Research data management and libraries: Relationships, activities, drivers and influences. PLoS ONE, 9(12), e114734. https://doi.org/10.1371/journal.pone.0114734
Plassche, K. A. (2022). Evaluating map and geospatial academic library position descriptions. College & Research Libraries, 83(4), 631-645. https://doi.org/10.5860/crl.83.4.631
Radecki, J. & Springer, R. (2020, November 18). Research data services in US higher education [research report]. Ithaka S+R. https://sr.ithaka.org/publications/research-data-services-in-us-higher-education/
Rod, A.B. (2022). A Mixed-Methods Study of Data Professionals in the Canadian Academic Library Ecosystem [Unpublished manuscript]. School of Information Studies, McGill University.
Rod, A.B. (2023). A Qualitative Study of Academic Data-Related Librarians in Canada (Version 1) [Data set]. Borealis Dataverse. https://doi.org/10.5683/SP3/WEOGMV
Read, K., Larson, C., Gillespie, C., Oh, S., & Surkis, A. (2019). A two-tiered curriculum to improve data management practices for researchers. PLoS ONE, 14(5), e0215509. https://doi.org/10.1371/journal.pone.0215509
Si, L., Zhuang, X., Xing, W., & Guo, W. (2013). The cultivation of scientific data specialists: Development of LIS education oriented to e-science service requirements. Library Hi Tech, 31(4), 700-724. https://doi.org/10.1108/LHT-06-2013-0070
Steeleworthy, M. (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). https://journal.lib.uoguelph.ca/index.php/perj/article/view/2990
Tang, R., & Hu, Z. (2019). Providing research data management (RDM) services in libraries: Preparedness, roles, challenges, and training for RDM practice. Data and Information Management, 3(2), 84-101. https://doi.org/10.2478/dim-2019-0009
Tenopir, C., Hughes, D., Allard, S., Frame, M., Birch, B., Baird, L., Sandusky, R., Langseth, M., & Lundeen, A. (2015). Research data services in academic libraries: Data intensive roles for the future? Journal of EScience Librarianship, 4(2), e1085. https://doi.org/10.7191/jeslib.2015.1085
Tenopir, C., Kaufman, J., Sandusky, R., & Pollock, D. (2019). Research data services in academic libraries: Where are we today? [White paper]. ACRL/Choice 360. https://www.choice360.org/research/research-data-services-in-academic-libraries-where-are-we-today/
Thielen, J., & Neeser, A. (2020). Making job postings more equitable: Evidence based recommendations from an analysis of data professionals job postings between 2013-2018. Evidence Based Library and Information Practice, 15(3), 103-156. https://doi.org/10.18438/eblip29674
Thomas, C. V., & Urban, R. J. (2017). What do data librarians think of the MLIS? Professionals' perceptions of knowledge transfer, trends and challenges. College and Research Libraries. 79(3), 401-423. https://doi.org/10.5860/crl.79.3.401
Wang, Y.-Y., & Lin, C.-S. (2019). A survey of data science programs and courses in the iSchools. Proceedings of the Association for Information Science and Technology, 56(1), 801-802. https://doi.org/10.1002/pra2.184
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J., Bonino da Silva Santos, L.O., 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
Xia, J., & Wang, M. (2017). Competencies and responsibilities of social science data librarians: An analysis of job descriptions. College & Research Libraries, 75(3), 362-388 https://doi.org/10.5860/crl13-435
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