Data Management Support for Faculty Facing New Funding Mandates: The Case of the U. S. Department of Agriculture's National Institute of Food and Agriculture

References

• Bailey, C. (2017). Research data curation bibliography (version 7). Retrieved from http://digital-scholarship.org/rdcb/rdcb.htm
   Google Scholar
• Briney, K. (2015). Data management for researchers: Organize, maintain and share your data for research success. Exeter, UK: Pelagic.
   Google Scholar
• Carlson, J. (2010). Data Curation Profiles Toolkit. Retrieved from http://docs.lib.purdue.edu/dcptoolkit/
   Google Scholar
• Carlson, J. (2012). Demystifying the data interview. Reference Services Review, 40(1), 7–23. doi:10.1108/00907321211203603
   Google Scholar
• Diekema, A. R., Wesolek, A., & Walters, C. D. (2014). The NSF/NIH effect: Surveying the effect of data management requirements on faculty, sponsored programs, and institutional repositories. The Journal of Academic Librarianship, 40(3), 322–331. doi:10.1016/j.acalib.2014.04.010
   Web of Science ®Google Scholar
• GODAN. (2017). GODAN – Global Open Data for Agriculture and Nutrition GODAN Document Series. Retrieved from http://www.godan.info/resources/research/type_of_resource/document-561.
   Google Scholar
• Haytowitz, D. B., Lemar, L. E., & Pehrsson, P. R. (2009). USDA's Nutrient Databank System — A tool for handling data from diverse sources. Journal of Food Composition and Analysis, 22(5), 433–441. doi:10.1016/j.jfca.2009.01.003
   Web of Science ®Google Scholar
• Horsburgh, J. S., Morsy, M. M., Castronova, A. M., Goodall, J. L., Gan, T., Yi, H., … Tarboton, D. G. (2016). Hydroshare: Sharing diverse environmental data types and models as social objects with application to the hydrology domain. JAWRA Journal of the American Water Resources Association, 52(4), 873–889. doi:10.1111/1752-1688.12363
   Web of Science ®Google Scholar
• Jeanty, P. W. (2013). Dealing with identifier variables in data management and analysis. Stata Journal, 13(4), 699–718.
   Web of Science ®Google Scholar
• Kagan, J. S. (2006). Biodiversity informatics: Challenges and opportunities for applying biodiversity information to management and conservation. Northwestern Naturalist, 87(1), 80–85. doi:10.1898/1051-1733(2006)87[80:BICAOF]2.0.CO;2
   Google Scholar
• Kollen, C., Dietz, C., Suh, J., & Lee, A. (2013). Geospatial data catalogs: Approaches by academic libraries. Journal of Map & Geography Libraries, 9(3), 276–295. doi:10.1080/15420353.2013.820161
   Google Scholar
• Koltay, T. (2016). Data governance, data literacy and the management of data quality. IFLA Journal, 42(4), 303–312. doi:10.1177/0340035216672238
   Google Scholar
• Kong, N. N. (2015). Exploring best management practices for geospatial data in academic libraries. Journal of Map & Geography Libraries, 11(2), 207–225. doi:10.1080/15420353.2015.1043170
   Web of Science ®Google Scholar
• Lafia, S., Jablonski, J., Kuhn, W., Cooley, S., & Medrano, F. A. (2016). Spatial discovery and the research library. Transactions in GIS, 20(3), 399–412. doi:10.1111/tgis.12235.
   Web of Science ®Google Scholar
• Lee, C. A., & Tibbo, H. R. (2007). Digital curation and trusted repositories: Steps toward success. Journal of Digital Information, 8(2). Retrieved from https://journals.tdl.org/jodi/index.php/jodi/article/view/229/183
   Google Scholar
• Maidment, D. R. (2017). Conceptual framework for the National Flood Interoperability Experiment. JAWRA Journal of the American Water Resources Association, 53(2), 245–257. doi:10.1111/1752-1688.12474
   Web of Science ®Google Scholar
• Mannheimer, S. (2014). Ready, engage! Outreach for library data services. Bulletin of the Association for Information Science & Technology, 41(1), 42–44. doi:10.1002/bult.2014.1720410115
   Google Scholar
• Moran, M. S., Hutchinson, B. S., Marsh, S. E., McClaran, M. P., & Olsson, A. D. (2009). Archiving and distributing three long-term interconnected geospatial data sets. IEEE Transactions on Geoscience and Remote Sensing, 47(1), 59–71. doi:10.1109/TGRS.2008.2002815
   Web of Science ®Google Scholar
• National Science Board Task Force on Data Policies. (2011). Digital research data sharing and management. Retrieved from https://www.nsf.gov/nsb/publications/2011/nsb01211.pdf
   Google Scholar
• Partlo, K. (2010). The pedagogical data reference interview. IASSIST Quarterly, 33(4), 6–10. Retrieved from http://www.iassistdata.org/sites/default/files/iqvol334_341partlo.pdf
   Google Scholar
• Punzalan, R. L., & Kriesberg, A. (2017). Library-mediated collaborations: Data curation at the National Agricultural Library. Library Trends, 65(3), 429–447. doi:10.1353/lib.2017.0010.
   Web of Science ®Google Scholar
• Rice, R., & Southall, J. (2016). The Data Librarian's Handbook. London, UK: Facet.
   Google Scholar
• Rice, R., & Southall, J. (2017). Top tips for a data reference interview. Retrieved from https://www.cilip.org.uk/blog/top-tips-data-reference-interview
   Google Scholar
• Rosenheim, J. A., Parsa, S., Forbes, A. A., Krimmel, W. A., Law, Y. H., Segoli, M., … Gross, K. (2011). Ecoinformatics for integrated pest management: Expanding the applied insect ecologist's tool-kit. Journal of Economic Entomology, 104(2), 331–342. doi:10.1603/EC10380
   PubMed Web of Science ®Google Scholar
• Scholl, J., Paster, A., & Jankowski, B. (2011). Establishing a research base for the expanded food and nutrition education program. Family & Consumer Sciences Research Journal, 39(3), 279–288. doi:10.1111/j.1552-3934.2010.02066.x.
   Google Scholar
• Si, L., Xing, W., Zhuang, X., Hua, X., & Zhou, L. (2015). Investigation and analysis of research data services in university libraries. The Electronic Library, 33(3), 417–449. doi:10.1108/EL-07-2013-0130
   Web of Science ®Google Scholar
• Steiner, J. L., Sadler, E. J., Hatfield, J. L., Wilson, G., James, D., Vandenberg, B., … Cole, K. (2009). Data management to enhance long-term watershed research capacity: Context and STEWARDS case study. Ecohydrology, 2(4), 391–398. doi:10.1002/eco.89
   Web of Science ®Google Scholar
• Steinhart, G. (2006). Libraries as distributors of geospatial data: Data management policies as tools for managing partnerships. Library Trends, 55(2), 264–284. doi:10.1353/lib.2006.0063
   Web of Science ®Google Scholar
• Swanson, J., & Rinehart, A. K. (2016). Data in context: Using case studies to generate a common understanding of data in academic libraries. The Journal of Academic Librarianship, 42(1), 97–101. doi:10.1016/j.acalib.2015.11.005
   Web of Science ®Google Scholar
• United States Department of Agriculture National Institute of Food and Agriculture [USDA NIFA]. (2015). Data management plan for NIFA-funded research projects [internet]. Retrieved from https://nifa.usda.gov/resource/data-management-plan-nifa-funded-research-projects
   Google Scholar
• Volk, C., Lucero, Y., & Barnas, K. (2014). Why is data sharing in collaborative natural resource efforts so hard and what can we do to improve it? Environmental Management, 53(5), 883–893. doi:10.1007/s00267-014-0258-2
   PubMed Web of Science ®Google Scholar
• Weller, T., & Monroe-Gulick, A. (2014). Understanding methodological and disciplinary differences in the data practices of academic researchers. Library Hi Tech, 32(3), 467–482. doi:10.1108/LHT-02-2014-0021
   Web of Science ®Google Scholar
• White, J. W., Hunt, L. A., Boote, K. J., Jones, J. W., Koo, J., Kim, S., … Hoogenboom, G. (2013). Integrated description of agricultural field experiments and production: The ICASA Version 2.0 data standards. Computers and Electronics in Agriculture, 96, 1–12. doi:10.1016/j.compag.2013.04.003
   Web of Science ®Google Scholar
• Whitmire, A. L., Boock, M., & Sutton, S. C. (2015). Variability in academic research data management practices. Program, 49(4), 382–407. doi:10.1108/PROG-02-2015-0017
   Google Scholar
• Witt, M., Carlson, J., Brandt, D. S., & Cragin, M. H. (2009). Constructing data curation profiles. International Journal of Digital Curation, 4(3), 93–103. Retrieved from http://www.ijdc.net/index.php/ijdc/article/view/137 doi:10.2218/ijdc.v4i3.117
   Google Scholar
• Woodard, J. (2016). Big data and ag-analytics. Agricultural Finance Review, 76(1), 15–26. doi:10.1108/AFR-03-2016-0018
   Web of Science ®Google Scholar
• Zhang, M., Zhang, Y., Liu, L., Yu, L., Tsang, S., Tan, J., … Fan, X. (2010). Gene Expression browser: Large-scale and cross-experiment microarray data integration, management, search & visualization. BMC Bioinformatics, 11(1), 433. doi:10.1186/1471-2105-11-433
   PubMedGoogle Scholar