Abstract
In the complex data curation activities involving proper data access, data use optimization and data rescue, opportunities exist where underlying skills in semantics may play a crucial role in data curation professionals ranging from data scientists, to informaticists, to librarians. Here, We provide a conceptualization of semantics use in the education data curation framework (EDCF) (Fig. 1) [1] under development by Purdue University and endorsed by the GLOBE program [2] for further development and application. Our work shows that a comprehensive data science training includes both spatial and non-spatial data, where both categories are promoted by standard efforts of organizations such as the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C), as well as organizations such as the Federation of Earth Science Information Partners (ESIP) that share knowledge and propagate best practices in applications.
Keywords
informatics, semantics, data curation, geospatial
Date of this Version
2013
Recommended Citation
Ma, Xiaogang; Branch, Benjamin D.; and Wegner, Kristin, "A Justification for Semantic Training in Data Curation Frameworks Development" (2013). Libraries Faculty and Staff Presentations. Paper 62.
https://docs.lib.purdue.edu/lib_fspres/62
Included in
Computer Sciences Commons, Library and Information Science Commons, Other Teacher Education and Professional Development Commons
Comments
This poster was presented at the American Geophysical Union Fall Meeting in San Francisco, California, December 9-13, 2013.