The recent challenges for higher education call for research that can offer a comprehensive understanding about the performance and efficiency of higher education institutions in their three primary missions: research, education, and service. In other for this to happen, it is necessary for researchers to have access to a multitude of data sources.However, due to the nature of their academic training, many higher education practitioners do not have access to expertise in working with different data sources. In this work, we describe a design and implementation for an infrastructure that will bring together the tools and the data to provide access to researchers in the field of higher education institutional research. The infrastructure will include integration and curation for data from different sources, embedded statistical environment, high performance computational back-end, and extensibility for future Big Data and unstructured data.
Available at: http://works.bepress.com/linhbngo/7/