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

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Branch, Benjamin D; Wegner, Kristin; Smith, Steven; Schulze, Darrell G; Merwade, Venkatesh; Jung, Jinha
machine readable; library; geospatial data service; STEM; interdisciplinary; Earth Sciences; Library and Information Science; Other Teacher Education and Professional Development
lecture / presentation description
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.