Many research agencies are now requiring that data collected as part of funded projects be shared. However, the practice of data sharing in education sciences has lagged these funder requirements. We assert that this is likely because researchers generally have not been made aware of these requirements and of the benefits of data sharing.…

In a wide range of fields, professional practice is being transformed by the increasing influence of digital analytics: the massive volumes of big data, and software algorithms that are collecting, comparing and calculating that data to make predictions and even decisions. Researchers in a number of social sciences have been calling attention to…

Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…

The word "data" connotes math, science, and technology: digits and quantifiable units. Data imply objectification--reducing ideas, and perhaps even students and teachers, to products that can be measured and compared. Ironically, however, this conception of data is itself reductive, and it minimizes the richness and potential of data.…

Data relating to occupations has been collected in the national apprentice and trainee collection since 1994. The coding used conforms to classifications endorsed by the Australian Bureau of Statistics (ABS). The latest version issued from the ABS is the Australian and New Zealand Standard Classification of Occupations (ANZSCO). The classification…

Colleges and universities are swimming in an ever-widening sea of data. Human beings and machines together generate about 2.5 "quintillion" (10[superscript 18]) bytes every day, according to IBM's latest estimate. The sources of all that data are dizzyingly diverse: e-mail, blogs, click streams, security cameras, weather sensors, social networks,…

The silo is a well-worn metaphor in information systems used to illustrate separateness, isolation, and lack of connectivity. Through the many iterations of system development, libraries, archives, and museums (LAMs) have sought to avoid silos and find the sweet spot between interface design and metadata interoperability. This effort is being…

The mathematics of information processing and the Internet can be organized around four fundamental themes: (1) access (finding information easily); (2) security (keeping information confidential); (3) accuracy (ensuring accurate information); and (4) efficiency (data compression). In this article, the author discusses each theme with reference to…

Apprentice and trainee data are reported by the State and Territory Training Authorities to the National Centre for Vocational Education Research (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are…

One of four projects conducted by the American Statistical Association (ASA) in cooperation with the Bureau of the Census, the conference explored the most important and fruitful research and development topics within the user-oriented software domain. Its objectives were to (1) develop recommendations on mechanisms to improve access to and use of…

School systems can be data rich and information poor if they do not understand and manage their data effectively. The task for school leaders is to put existing data into a format that lends itself to answering questions and improving outcomes for the students. Common barriers to transforming data into knowledge in education settings often include…

Detailed descriptions of the data analysis procedures used in Project EDNEED (Empirical Determination of Nationally Essential Educational Data) are contained in this volume, the last of a five-volume final report. Results of the application of procedures and a narrative interpretation of the results are included. Priority rankings of 323 questions…

Presents compact disc (CD) technology as the method of choice for data collection and knowledge distribution. Discusses four phases of the CD network storage application (processing, imaging, recording, verifying), expanding applications in imaging, archiving, Internet/intranet, CD production, and network backup and storage. (PEN)

This paper addresses some of the problems of data access and exchange by discussing what an educational research institution should do about data archiving and data facilities. The work undertaken at the Ontario Institute for Studies in Education is described. Generally, efforts in the past have been given to computerization of bibliographic…

Describes LOTUS 1-2-3, an advanced spreadsheet with database and text manipulation functions that can be used with microcomputers by librarians to provide customized calculation and data acquisition tools. Macro commands and the menu system are discussed, and an example is given of an invoice procedure. (Author/LRW)