Libraries at University of Nebraska-Lincoln
Date of this Version
5-21-2020
Document Type
Article
Citation
Association of Research Libraries (2010). E-Science and data support services: A study of ARL member institutions. Washington, DC: Association of Research Libraries.
Bach, K., Schafer, D., Enke, N., Seeger, B., Gemeinholzer, B., & Bendix, J. (2012). A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. Ecological Informatics, 11. doi: 10.1016/j. ecoinf.2011.11.008
Chiware, E., & Mathe, Z. (2016). Academic libraries’ role in research data management services: A South African perspective. Sajlis.journals. doi:10.7553/81-2-1563
Corti, L., Van den Eynden, V., Bishop, L., & Woollard, M. (2011). Managing and sharing research data: A Guide to Good Practice. UK Data Archive. University of Essex
Cox, A. M., & Pinfield, S. (2014). Research data management and libraries: Current activities and future priorities. Journal of Librarianship and Information Science, 46. doi:10.1177/0961000613492542
Cox, A. M., Verbaan, E., & Sen, B. (2012). Upskilling liaison librarians for research data management. Ariadne. Retrieved from http://www.ariadne.ac.uk/issue70/cox-et-al
Curation Costs Exchange. (2020). Understanding and comparing digital curation costs to support smarter investments. Retrieved from https://www.curationexchange.org/
Davidson, J. (2014). Emerging good practice in managing research data and research information in UK universities. Procedia Computer Science, 33, 215-222.
DCC. (2011). Data management in perspective: The career profile of data managers. Edinburgh: Digital Curation Centre.
DCC. (2019). Research Data Management for Librarians. Retrieved from http://www.dcc.ac.uk/training/rdm-librarians
DCC. (2015). DCC Lifecycle Model. Retrieved from http://www.dcc.ac.uk/resources/curation-lifecycle-model.
Digital Repository Audit Method Based on Risk Assessment. (2020). Retrieved from http://www.repositoryaudit.eu/
Fary, M., & Owen, K. (2013). Developing an institutional research data management plan service. Retrieved from https://net.educause.edu/ir/library/pdf/ACTI1301.pdf
Flores, J. R., Brodeur, J. J., Daniels, M. G., Nicholls, N. & Turnator, E. (2015). Libraries and the Research Data Management Landscape. Researchgate. Retrieved from https://www.researchgate.net/publication/283267909.
Galleto, M. (2016). What is data management? Retrieved from https://www.ngdata.com/what-is-data-management/
Higgins, S. (2008). The DCC Curation Lifecycle Model. The International Journal of Digital Curation, 3(1), 134-140.
Holden, J. P. (2013). Memorandum for the Heads of Executive Departments and Agencies. Office of Science and Technology Policy. Retrieved from available online at https://www.whitehouse.gov/sites/default/files/microsites/ostp/ostp_public_access_memo_2013.pdf
Jones S., Pryor, G., Whyte, A. (2013). How to develop RDM services: A guide for HEIs. DCC How-to Guides. Edinburgh: Digital Curation Centre.
Jones, S. (2014). The range and components of RDM infrastructure and services. Delivering research data management services. London. pp. 89–114.
Kennan, M. A., & Markauskaite, L. (2015). Research data management practices: A snapshot in time. International Journal of Digital Curation, 10(2), 69-95.
Lewis, M. J. (2010). Libraries and the management of research data. In S. McKnight, (Ed.), Envisioning Future Academic Library Services (pp. 145-168). London: Facet Publishing.
Peters, C., & Dryden, A. R. (2011). Assessing the academic library's role in campus-wide research data management: A first step at the University of Houston. Science & Technology Libraries, 30(4). doi: 10.1080/0194262X.2011. 626340
Pinfield, S., Cox, A. M., & Smit, J. (2014). Research data management and libraries: relationships, activities, drivers and influences. Switzerland: PLoS ONE.
Rouse, M. (2019). What is data management and why is it important. Retrieved from
https://searchdatamanagement.techtarget.com/definition/data-management
Tenopir, C., Hughes, D., Allard, S., Fram, M., Birch, B., Baird, L., Sandusky, R., Langseth, M., and Lundeen, A. ( 2015). Research data services in academic libraries: Data intensive roles for the future? Journal of eScience Librarianship, 4(2). doi: 10.7191/ jeslib.2015.1085
Tenopir, C., Sandusky, R. J., Allard, S., & Birch, B. (2013). Academic librarians and research data services: preparation and attitudes. IFLA Journal, 39(1), 70–78. doi:10.1177/0340035212473089
Shearer, B. S. K. (2016). Librarians’ Competencies Profile for Research Data Management.
Retrieved from https://www.coar-repositories.org/files/Competencies-for-ScholComm-and-OA_June-2016.pdf
Surkis, A., and Read, K. (2015). Research data management. Journal of the Medical Library Association: JMLA, 103(3), 154–156. doi: org/10.3163/1536-5050.103.3.011
Whyte, A., & Tedds, J. (2011). Making the case for research data management. DCC Briefing Papers. Edinburgh: Digital Curation Centre.
Abstract
Research funding organizations understand the importance of infrastructure and services to organize and preserve research data. Academic research libraries have been identified as locations in which to base these research data management services. Research data management services include data management planning, digital curation (selection, preservation, maintenance, and archiving), and metadata creation and conversion. However, some libraries are beginning to provide structure for research data management services. These services are starting to record some degree of success as local data policies are being formulated. The aim of this paper, therefore, is to discuss the importance of research data management in the academic libraries in Nigeria. The article summarized the research data management life cycle to include: data creation; data collection and description, data storage; data archiving and preservation; data access; data discovery and analysis, and data reuse and transformation. The paper further identified research data management tools and applications, which include DMPonline, Data Asset framework, Collaborative Assessment of Research Data Infrastructure and Objectives (CARDIO), and Curation cost exchange. Specifically, the paper examines some skills requirements for research data management in academic libraries. Some of the challenges facing effective research data management services identified by this paper include technology obsolescence, technology fragility; Lack of guidelines on good practice; Inadequate financial and human resources to manage data well, and Lack of evidence about best infrastructures.