Massive amount of data is generated everyday through sensors, Internet transactions, social networks, video, and all other digital sources available. Many organizations store this data to enable breakthrough discoveries and innovation in science, engineering, medicine, and commerce. Such massive scale of data poses new research problems called big…

As data as a scholarly object continues to grow in importance in the research community, librarians are undertaking increasing responsibilities regarding data management and curation. New library initiatives include assisting researchers in finding data sets for reuse; locating and hosting repositories for required archiving; consultations on…

Identifying academic misdemeanours and actual applied effort in student assessments involving practical work can be problematic. For instance, it can be difficult to assess the actual effort that a student applied, the sequence and method applied, and whether there was any form of collusion or collaboration. In this paper we propose a system of…

There was a time when school districts showed little interest in storing or backing up their data to remote servers. Nothing seemed less secure than handing off data to someone else. But in the last few years the buzz around cloud storage has grown louder, and the idea that data backup could be provided as a service has begun to gain traction in…

These days, "data-driven decision making" is on every school district's buzzword bingo game board. Accountability pressures and lean budgets make translating data into information a major focus of school systems that are trying to improve district outcomes in all areas. As such, data warehousing has become an essential district tool. Historically…

School systems face many decisions in developing and maintaining learning environments that create success for all students. From district operations to the classroom, district leaders implement solutions and take action based on the information they have at hand. While there is no shortage of data, turning that data into useful information is as…

A record format and file structure for searching and editing of large textual files have been designed within the 3RIP project. This document describes: (1) general characteristics of the system; (2) implementation of the system on a DEC 10 computer in the programming language, BLISS; (3) external record format; (4) internal format; and (5) file…

S. R. Ranganathan's five laws of library science, originally published in 1931, provide the basis for reflections on current trends in academic libraries.

Two major trends in eLearning are the shift from presentational towards activating learning objects and the shift from proprietary towards SCORM conformant delivery systems. In a large program on the design, development and use of digital learning material for food and biotechnology in higher education, a large amount of experience has been gained…

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,…

The papers and discussions of the 1975 Pacific Region meeting of the Association for Computing Machinery are presented. Topics included (1) the current and emerging state of the art in data management software and hardware, (2) relational systems with particular attention to new developments in systems for relational data bases, (3) advances in…

Examines the structure and components of information storage and retrieval systems and information filtering systems. Identifies 13 components as representations of data objects (copies, excerpts, descriptions, abstractions, and identifying references) and functions that operate on them. Reduces the functional components to transformation and…

Describes the Forest Science Data Bank that contains 2,400 data sets from over 350 existing ecological studies. Database features described include involvement of the scientific community; database documentation; data quality assurance; security; data access and retrieval; and data import/export flexibility. Appendices present the Quantitative…

The nature of typical mechanized data bases with which university information centers and libraries will be working is examined to provide background information for data base retrieval efforts. Format and content of the data must be taken into consideration before meaningful retrieval can be achieved. Hence both of these aspects are treated in…

The 13 papers collected here were presented at the Workshop on Data Documentation held at Reisenburg Castle, Federal Republic of Germany, in July 1975. This workshop was a first attempt to identify some of the problems in the field of data documentation, formulate them, and solve them as far as possible. The subject was approached from four…