Personal information is among the most significant assets for businesses today, and clear transactional rules are becoming increasingly important. Organizations, including universities, are charged with more responsibility than ever to protect the personal information used during the course of their business, specifically student data. The paper…

This call for action addresses the high-level benefits of adopting a university-wide policy regarding research data management. It identifies the various university stakeholders and suggests that the library initiate a conversation among them in order to get buy-in for a proactive, rather than reactive, high-level policy for responsible data…

Business intelligence derived from data warehousing and data mining has become one of the most strategic management tools today, providing organizations with long-term competitive advantages. Business school curriculums and popular database textbooks cover data warehousing, but the examples and problem sets typically are small and unrealistic. The…

The variety and complexity of potentially-related data resources available for querying--webpages, databases, data warehouses--has been growing ever more rapidly. There is a growing need to pose integrative queries "across" multiple such sources, exploiting foreign keys and other means of interlinking data to merge information from diverse…

In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…

Automatic syllabification of words is challenging, not least because the syllable is not easy to define precisely. Consequently, no accepted standard algorithm for automatic syllabification exists. There are two broad approaches: rule-based and data-driven. The rule-based method effectively embodies some theoretical position regarding the…

Information is everywhere and finding the best method to manage it is a problem that all types of organizations have to deal with. Schools use Student Information Systems (SIS) to manage Student Data, Financial Information, Development, Human Resources, Admission, Financial Aid, Enrollment, Scheduling, and Health Information. A survey of 107…

The National Comprehensive Center for Teacher Quality (TQ Center) designed the Interactive Data Tools to provide users with access to state and national data that can be helpful in assessing the qualifications of teachers in the states and the extent to which a state's teacher policy climate generally supports teacher quality. The Interactive Data…

This chapter describes the National Student Clearinghouse and discusses opportunities and challenges for tracking community college students. It also presents a system perspective on using clearinghouse data to promote more comprehensive student and graduate tracking. (Contains 2 tables.)

This chapter examines lessons learned by states that are using student unit record (SUR) data to improve outcomes for community college students and recommends steps states can take to strengthen their use of SUR databases to benefit students and communities. (Contains 1 exhibit.)

The rapid adoption of information technology and ubiquitous networking has transformed the research and education landscape. Central to this transformation are scientific and engineering digital data collections. The life cycle management challenges associated with these intellectual assets are substantial. This is a report of a two-day workshop…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…