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Wiley, Christie; Mischo, William H. – Issues in Science and Technology Librarianship, 2016
This article analyzes 21 in-depth interviews of engineering and atmospheric science faculty at the University of Illinois Urbana-Champaign (UIUC) to determine faculty data management practices and needs within the context of their research activities. A detailed literature review of previous large-scale and institutional surveys and interviews…
Descriptors: Data Processing, College Faculty, Scientists, Engineering Education
Waters, John K. – Campus Technology, 2013
The latest data alert: By 2020, the amount of data generated daily will reach 40 zettabytes, or roughly 5,247 gigabytes for every person on earth. That's one of the findings in a new report published by IT industry analysts at IDC. The study casts doubt on the ability to capture the value of all this data, especially since schools barely tapped…
Descriptors: Information Management, Data, Data Collection, Data Processing
Waters, John K. – Campus Technology, 2012
In the case of higher education, the hills are more like mountains of data that "we're accumulating at a ferocious rate," according to Gerry McCartney, CIO of Purdue University (Indiana). "Every higher education institution has this data, but it just sits there like gold in the ground," complains McCartney. Big Data and the new tools people are…
Descriptors: Higher Education, Educational Change, Data, Data Processing
O'Reilly, Una-May; Veeramachaneni, Kalyan – Research & Practice in Assessment, 2014
Because MOOCs bring big data to the forefront, they confront learning science with technology challenges. We describe an agenda for developing technology that enables MOOC analytics. Such an agenda needs to efficiently address the detailed, low level, high volume nature of MOOC data. It also needs to help exploit the data's capacity to reveal, in…
Descriptors: Data, Technology Uses in Education, Online Courses, Open Education
Figlio, David; Karbownik, Krzysztof; Salvanes, Kjell – Education Finance and Policy, 2017
Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…
Descriptors: Educational Research, Data, Information Utilization, Management Information Systems
Hamblin, David J.; Phoenix, David A. – Journal of Higher Education Policy and Management, 2012
There are increasing demands for higher levels of data assurance in higher education. This paper explores some of the drivers for this trend, and then explains what stakeholders mean by the concept of data assurance, since this has not been well defined previously. The paper captures insights from existing literature, stakeholders, auditors, and…
Descriptors: Higher Education, Educational Technology, Stakeholders, Quality Assurance
Wu, Yuehua – ProQuest LLC, 2010
The development and diffusion of information and communication technologies, particularly the internet, creates a worldwide trend of using ICTs and the internet to deliver public services. This new form of electronic administration--e-government--potentially offers great benefits to society in that it can enhance public service efficiency,…
Descriptors: Foreign Countries, Governance, Information Dissemination, Telecommunications

Caplan, Priscilla – Public-Access Computer Systems Review, 1995
Discusses the 1995 OCLC/NCSA Metadata Workshop that met to define a standard set of data elements for describing network-accessible information resources. These document data elements had to be simple enough for authors and publishers to use, to facilitate discovery and retrieval, and to be useful as a basis for descriptive cataloging. (JKP)
Descriptors: Access to Information, Cataloging, Computer Networks, Data
Gray, Peter J. – 1984
This manual on microcomputer-based database management programs provides a description of the key characteristics of database software as well as guidelines for designing a database, uses of database programs, and selecting the right software. Three sets of concepts related to database management are listed and explained: creating a database,…
Descriptors: Computer Software, Data, Data Processing, Databases
Heller, Jack – 1974
This report presents the rationale, motivation, and formal description underlying the General Retrieval and Information Processor for Humanities Oriented Studies (GRIPHOS) Management Information System. This system was devised to handle "card catalog" types of information; perform searches that are usually carried out in archives,…
Descriptors: Catalogs, Data, Data Processing, Humanities
Evans, Glyn T.; And Others – 1978
The major accomplishments in the development of a management system for academic library collection development were (1) the development of translation tables which express HEGIS (Higher Education General Information Survey) taxonomy terms as sets of LC (Library of Congress) class numbers; (2) the use of these tables to compare library…
Descriptors: Academic Libraries, Classification, Data, Data Processing
International Association for Development of the Information Society, 2012
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…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers