Abstract
This joint collaboration between the Purdue Libraries and Cyber Center demonstrates the next generation of computational platforms supporting interdisciplinary collaborative research. Such platforms are necessary for rapid advancements of technology, industry demand and scholarly congruence towards open data, open access, big data and cyber-infrastructure data science training. Our approach will utilize a Discovery Undergraduate Research Investigation effort as a preliminary research means to further joint library and computer science data curation research, tool development and refinement.
Keywords
big data, agriculture, data curation
Date of this Version
3-5-2014
Recommended Citation
Branch, Benjamin D.; Baker, Peter N.; Xu, Jai; and Bertino, Elisa, "A CRIS Data Science Investigation of Scientific Workflows of Agriculture Big Data and its Data Curation Elements" (2014). Libraries Faculty and Staff Presentations. Paper 71.
https://docs.lib.purdue.edu/lib_fspres/71
Included in
Bioresource and Agricultural Engineering Commons, Data Storage Systems Commons, Library and Information Science Commons
Comments
This poster was presented at the Purdue University 2014 BIG Data in Agriculture Symposium, "Connecting Vision and Capacity," Wednesday, March 5, 2014.