A Library Approach to Establish an Educational Data Curation Framework (EDCF) that Supports K-12 Data Science Sustainability

Authors

Benjamin D. Branch, Purdue UniversityFollow
Kristin Wegner, The GLOBE ProgramFollow
Steven Smith, Purdue UniversityFollow
Darrell G. Schulze, Purdue UniversityFollow
Venkatesh Merwade, Purdue UniversityFollow
Jinha Jung, Purdue UniversityFollow

Comments

This poster was presented at the American Geophysical Union Fall Meeting, December 9-13, 2013, San Francisco, California.

Abstract

It has been the tradition of the libraries to support literacy. Executive Order, Making Open and Machine Readable the New Default for Government Information, May 9, 2013, implies new roles for libraries. The library has the responsibility to support geospatial data, big data, earth science data or cyber infrastructure data that may support STEM for educational pipeline stimulation. (More information can be found at http://www.whitehouse.gov/the-press-office/2013/05/09/executive-order-making-open-and-machine-readable-new-default-government-.)

Provided is an Educational Data Curation Framework (EDCF) that has been initiated in Purdue research. The EDCF may be applied to geospatial data service, engagement and outreach endeavors to augment the data science and climate literacy needs of future global citizens.

Keywords

machine readable, library, geospatial data service, STEM, interdisciplinary

Date of this Version

2013

Recommended Citation

Branch, Benjamin D.; Wegner, Kristin; Smith, Steven; Schulze, Darrell G.; Merwade, Venkatesh; and Jung, Jinha, "A Library Approach to Establish an Educational Data Curation Framework (EDCF) that Supports K-12 Data Science Sustainability" (2013). Libraries Faculty and Staff Presentations. Paper 64.
https://docs.lib.purdue.edu/lib_fspres/64