Developing and Teaching a Two-Credit Data Management Course for Graduate Students in Climate and Space Sciences.
DOI:
https://doi.org/10.29173/istl1698Abstract
Engineering researchers face increasing pressure to manage, share, and preserve their data, but these subjects are not typically a part of the curricula of engineering graduate programs. To address this situation, librarians at the University of Michigan, in partnership with the Climate and Space Sciences and Engineering Department, developed a new credit-bearing course to teach graduate students the knowledge and skills they need to respond to these pressures. The course was specifically designed to teach data management through the lens of climate and space sciences by incorporating relevant examples and readings. We describe the development, implementation, and assessment of this course and provide recommendations for others interested in building their own data management courses. [ABSTRACT FROM AUTHOR]
Downloads
References
ABET. Criteria for Accrediting Engineering Program, 2016-2017. Criterion 3: Student Outcomes. http://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2016-2017/#students
Adamick, Jessica, Reznik-Zellen, Rebecca C. & Sheridan, Matt. 2013. Data management training for graduate students at a large research university. Journal of eScience Librarianship 1 (3). doi:10.7191/jeslib.2012.1022
Borgman, Christine L. 2008. Data, disciplines, and scholarly publishing. Learned Publishing 21 (1): 29-38. doi:10.1087/095315108X254476
Carlson, Jake, Fosmire, Michael, Miller, C.C. & Nelson, Megan Sapp. 2011. Determining data information literacy needs: A study of students and research faculty. portal: Libraries and the Academy 11 (2): 629-657. DOI:10.1353/pla.2011.0022
Carlson, Jake & Stowell-Bracke, Marianne. 2013. Data management and sharing from the perspective of graduate students: An examination of the culture and practice at the water quality field station. portal: Libraries and the Academy 13 (4): 343-61. doi:10.1353/pla.2013.0034
Corti, Louise, and Eynden, Veerle den. 2015. Learning to manage and share data: Jump-starting the research methods curriculum. International Journal of Social Research Methodology 18 (5, SI): 545-59. doi:10.1080/13645579.2015.1062627
Federer, Lisa M, Lu, Ya-Ling & Joubert,Douglas J. 2016. Data literacy training needs of biomedical researchers. Journal of the Medical Library Association 104 (1): 52-58. doi:10.3163/1536-5050.104.1.008
Frugoli, Julia, Etgen, Anne M. & Kuhar, Michael. 2010. Developing and communicating responsible data management policies to trainees and colleagues. Science and Engineering Ethics 16 (4, SI): 753-62. doi:10.1007/s11948-010-9219-1
Gunsalus, C.K. 2010. Best practices in communicating best practices: Commentary on: 'Developing and communicating responsible data management policies to trainees and colleagues.' Science and Engineering Ethics 16 (4): 763-67. doi:10.1007/s11948-010-9227-1
Hanson, Brooks & van der Hilst, Robert. 2014. AGU's data policy: History and context. Eos Transactions 95(37): 337. doi:10.1002/2014EO370008
Holdren, John. 2016. Letter to the Senate and House Appropriations Committees. Office of Science and Technology Policy. http://web.archive.org/web/20161021093653/https://www.whitehouse.gov/sites/default/files/microsites/ostp/public_access_report_to_congress_apr2016_final.pdf
Johnston, Lisa & Jeffryes, Jon. 2014. Data management skills needed by structural engineering students: Case study at the University of Minnesota. Journal of Professional Issues in Engineering Education and Practice 140 (2). doi:10.1061/(ASCE)EI.1943-5541.0000154
Tenopir, Carol, Hughes, Dane, Allard, Suzie, Frame, Mike, Birch, Ben, Baird, Lynn, Sandusky, Robert, Langseth, Madison & Lundeen, Andrew. 2015. Research data services in academic libraries: Data intensive roles for the future? Journal of eScience Librarianship 4 (2): e1085. 10.7191/jeslib.2015.1085
Whitmire, Amanda L. 2015. Implementing a graduate-level research data management course: Approach, outcomes, and lessons learned. Journal of Librarianship and Scholarly Communication 3 (2): eP1246. doi:10.7710/2162-3309.1246
Williams, Julia M. 2002. The engineering portfolio: Communication, reflection, and student learning outcomes assessment. International Journal of Engineering Education 18 (2): 199-207. http://www.ijee.ie/previous.html
Wright, Sarah J., Carlson, Jake, Jeffryes, Jon, Andrews, Camille, Bracke, Marianne, Fosmire, Michael, Johnston, Lisa R., Nelson, Megan Sapp, Walton, Dean & Westra, Brian. Developing data information literacy programs: A guide for academic librarians. In Carlson, J. and Johnston, L.R. Data Information Literacy: Librarians, Data and the Education of a New Generation of Researchers. West Lafayette (IN): Purdue University Press; 2015. p.206-230.
Downloads
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Joanna Thielen, Sara M. Samuel, Jake Carlson, Mark Moldwin
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
