The introduction of Big Data sets in the healthcare domain has presented opportunities to engage in analytics of very large sets containing both structured and unstructured data. With advances in information technology (IT), these data sets have become available from diverse sources at greatly increased rates. The availability of Big Data sets has introduced complexities that we must address, not only in terms of semantics and analytics but also in terms of data management, storage, and distribution. Currently, the capabilities to ingest, analyze, and manage multipetabyte data sets have underscored the limitations of our analytics capabilities supported by relational database management systems. This essay argues that an ontology‐based approach to data analytics provides a practical framework to address the semantic challenges presented by Big Data sets. No ontological framework can address the operational and management requirements introduced by the availability of Big Data sets, however. There are also a number of IT architectural factors that must be considered in implementing such a framework.

We undertake an investigation of public statements and pronouncements from leaders at various universities to gain insight into institutional values and environments relative to women and their participation and advancement in science, technology, engineering, and mathematics (STEM) and other disciplinary fields. Employing content analysis techniques to focus on terminological use and keyword interdependencies in these speeches, our findings indicate that, while gender equality is addressed as a separate topic in its own right, university leaders raise issues of gender in the context of STEM participation primarily in conjunction only with other topics. As expected, the data also support arguments suggesting diversity in general as an important goal espoused in the rhetoric of university representatives. Questions remain, however, concerning whether these speeches presage concrete institutional commitments and responses relative to the achievement of diversity, gender equality, and gender equity in the STEM professoriate. Copyright 2009 by The Policy Studies Organization.

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