In this article we discuss the use of RapidMiner, a data science software platform, in a Database Management Systems course. For further understanding of the database and the skill learned, students are given an assignment to complete, to not only use another software beside SQL Server Management Studio but also translate their findings in a more…

This teaching case describes the functionality of a system employing IoT sensors to monitor part levels for a fictitious auto parts manufacturer. Data from the sensors are used to populate a centralized database and generate a dashboard for management. The system also generates tiered alerts to notify part runners and managers of pending part…

The increasing interdisciplinarity of scientific research creates both challenges and opportunities for librarians. The liaison model may be inadequate for supporting campus research that represents multiple disciplines and geographically dispersed departments. The identification of units, researchers, and projects is a first step in planning and…

Purpose: Linking Open Data (LOD) provides a vast amount of well structured semantic information, but many inconsistencies may occur, especially if the data are generated with the help of automated methods. Data cleansing approaches enable detection of inconsistencies and overhauling of affected data sets, but they are difficult to apply…

Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…

The American Recovery and Reinvestment Act (ARRA) provides several funding opportunities that can assist states in designing, developing, and implementing statewide education longitudinal data systems. These new and enhanced information systems will enable states to track student progress within and across the secondary and postsecondary education…

Describes a bottom-up procedure for discovering multivalued dependencies in observed data without knowing a priori the relationships among the attributes. The proposed algorithm is an application of technique designed for learning conditional independencies in probabilistic reasoning; a prototype system for automated database schema design has…

Knowledge discovery in databases (KDD) revolves around the investigation and creation of knowledge, processes, algorithms, and mechanisms for retrieving knowledge from data collections. The article is an introductory overview of KDD. The rationale and environment of its development and applications are discussed. Issues related to database design…

The Comparative Database System (CDS) provides a means for coding and using data on U.S. and international postsecondary educational activity and behavior. CDS permits education-data users to obtain accurate and reliable comparative data on postsecondary education questions. This document contains a discussion of the development of CDS, a detailed…

This conference paper presents a description of how faculty workloads are assessed for fiscal and other purposes at Northern Arizona University (NAU). Following a discussion of workload issues, the paper examines: (1) definition of workload; (2) methodology for data collection; (3) development of a faculty full-time equivalency database and two…

Activities of the Special Issues Analysis Center (SIAC), a technical support center providing assistance to the Department of Education in serving the needs of limited-English-proficient (LEP) students through the Bilingual Education Act of 1988, are summarized. In the third year of its contract, SIAC performed these services: creation of a…