Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…

Assessment and supporting data have become of increasing interest in librarianship. In this paper, we describe the development and implementation of the Northwestern University Library Acknowledgments Database tool, which gathers and documents qualitative data, as well as its component reporting function. This collaborative project and resulting…

Networks, such as social networks, are a universal solution for modeling complex problems in real time, especially in the Big Data community. While previous studies have attempted to enhance network processing algorithms, none have paved a path for the development of a persistent storage system. The proposed solution, GraphStore, provides an…

Any librarian who has managed electronic resources has experienced the--for want of words--"joy" of gathering and analyzing usage statistics. Such statistics are important for evaluating the effectiveness of resources and for making important budgeting decisions. Unfortunately, the data are usually tedious to collect, inconsistently organized, of…

A study was conducted to propose a research-based model for a longitudinal data research system that addressed recommendations from a synthesis of literature related to: (1) needs reported by the U.S. Department of Education, (2) the twelve mandatory elements that define federally approved state longitudinal data systems (SLDS), (3) the…

The accuracy and reliability aspects of data integrity are discussed, with an emphasis on the need for consistency in responsibility and authority. A variety of ways in which data integrity can be compromised are discussed. The following sources of data corruption are described, and the ease or difficulty of identification and suggested actions…

Discusses important factors to consider before deciding on hardware or software to use in building qualitative databases. Examines using the computer to store and retrieve text, store and retrieve graphics, analyze text, analyze graphic materials, distribute data stored on one machine to others, allow researchers access to data from remote sites,…

High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…

Today many data warehousing systems are data rich, but information poor. Extracting useful information from an ocean of data to support administrative, policy, and instructional decisions becomes a major challenge to both database designers and measurement specialists. This paper focuses on the development of a data processing system that…

This paper reports on the implementation of the first two parts of an integrated data base designed to replace the fragmented surveys and data files of Virginia's institutions of higher education. The two parts being examined involve the State Council of Higher Education for Virginia (SCHEV) Student Data Base and the Institutional Information…

This publication describes an evaluation design developed to assess school-to-work (STW) efforts throughout the Saginaw Valley STW Partnership area in Michigan. An introduction is followed by an overview of the aim of evaluation. Section 3 describes how the variables pertinent to the evaluation of the STW program initiative were identified,…

This discussion of the general principles of structure and construction of numeric databases introduces the concept of data points, their relationship to each other, and their storage in a nonredundant way. The collection of numeric data and their integration into the database structure are explained. Eight references are cited. (EJS)

Explains how libraries can use data mining techniques for more effective data collection. Highlights include three phases: data selection and acquisition; data preparation and processing, including a discussion of the use of XML (extensible markup language); and data interpretation and integration, including database management systems. (LRW)

Discusses an open-ended, generalized programing system which eliminates the duplication of effort and materials in data collection, storage, and reporting that is common in most piecemeal-evolved current management systems. (DE)

Contends that, in developing countries, attention must be paid to the quality of data going into computer-based information management systems; otherwise implementation of the system may provide only a deceptively systematic procedure for making random decisions. Examines errors, assumptions, inabilities, and omissions that threaten data quality…