Social and Behavioral Sciences Commons^™

A Justification For Semantic Training In Data Curation Frameworks Development, Xiaogang Ma, Benjamin D. Branch, Kristin Wegner

Libraries Faculty and Staff Presentations

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 …

Exploring Best Practices For Research Data Management In Earth Science Through Collaborating With University Libraries, Ting Wang, Benjamin D. Branch

Libraries Faculty and Staff Presentations

To address the growing demand for managing earth science data, the Council on Library and Information Resources (CLIR) partners with the Library and Technology Services (LTS) of Lehigh University and Purdue University Libraries (PUL) on hosting postdoctoral fellows in data curation activity. This inter-disciplinary fellowship program funded by the SLOAN Foundation innovatively connects university libraries and earth science departments and provides earth science Ph.D.s opportunities to use their research experiences in earth science and data curation trainings received during their fellowship to explore best practices for research data management in earth science and find out answers to:

How can the …

The Role Of Interdisciplinary Gis And Data Curation Librarians In Enhancing Authentic Scientific Research In The Classroom, Benjamin D. Branch, Michael Fosmire

Libraries Faculty and Staff Presentations

Data science is a recently evolved area of scientific inquiry, where data, often collected by others, is analyzed by independent investigators to draw new conclusions. As such, data literacy needs to be incorporated into authentic research activities. The earth sciences in particular have a trove of data that resides in national data centers as well as individual investigators’ labs, which can be repurposed to provide the inputs for students to make their own inquiries into the data. With the amount of data available, students can make more substantive conclusions than if relying just on data they’ve collected themselves.