Riding the wave of open access : providing library research support for scholarly publishing literacy

Researchers are experiencing intense pressures to publish and increase research outputs. Recently many research funders have introduced policies and mandates related to open access, which have contributed to the increasing popularity of open access journals. Dubbed gold open access, open access journals offer researchers another publishing option. However, some publishers with questionable practices and journals of dubious quality have emerged exploiting the ‘author pays’ open access model and researchers' need to publish. Hence an ability to publish research outputs through the most appropriate outlet for a particular field is crucial for researchers in order to maximise the impact of their research. Notwithstanding the proliferation of open access journals, the literature indicates that some researchers may not have a full understanding of the operations, implications and issues around open access and other publishing issues. This understanding is known as scholarly publishing literacy. With knowledge of scholarly publishing and access to resources and tools, academic libraries and librarians are well-positioned to play an active role in providing support to researchers. This paper argues that scholarly publishing literacy should be treated as an extension of information literacy delivered through a broader research support framework. This paper presents a research librarian's perspective, and draws on literature and the author's practice to illustrate key points. Issues for further investigation are identified.

Time cumulative complexity modeling and analysis for space-based networks

In this paper, the notion of the cumulative time varying graph (C-TVG) is proposed to model the high dynamics and relationships between ordered static graph sequences for space-based information networks (SBINs). In order to improve the performance of management and control of the SBIN, the complexity and social properties of the SBIN's high dynamic topology during a period of time is investigated based on the proposed C-TVG. Moreover, a cumulative topology generation algorithm is designed to establish the topology evolution of the SBIN, which supports the C-TVG based complexity analysis and reduces network congestions and collisions resulting from traditional link establishment mechanisms between satellites. Simulations test the social properties of the SBIN cumulative topology generated through the proposed C-TVG algorithm. Results indicate that through the C-TVG based analysis, more complexity properties of the SBIN can be revealed than the topology analysis without time cumulation. In addition, the application of attack on the SBIN is simulated, and results indicate the validity and effectiveness of the proposed C-TVG and C-TVG based complexity analysis for the SBIN.

Development and applications of an experimental database for structural engineering education

A great number of research organisations in Japan have been conducting structural steel experiments for many years, particularly seismic tests of steel structures like cyclic-loading and pseudo-dynamic tests, in order to determine their seismic performances. However, the original test data gained by most research organisations are not well stored in an appropriate manner for distribution and possible usage by others. With the rapid development of information networks, structural engineers and researchers are able to exchange various types of test data through the Internet. In this paper, the authors present the development of a distributed collaborative database system for structural steel experiments. The database is made available on the Internet, and the use of Java language enables efficient interactive retrieval. The potential applications of the developed database system for structural engineering education are validated for the retrieval of experimental data and seismic numerical analysis.

Database for structural steel experiments under a distributed collaboration environment

Due to the high requirements of civil infrastructures against the earthquake in Japan, a great number of research organizations have been conducting the structural steel experiments, in particular the seismic tests such as the cyclic loading test and the pseudo-dynamic test, for many years to determine the seismic performances of steel structures. However, the original test data gained by most research organizations are not well stored in an appropriate manner for distribution and possible usage of others. Although a Numerical Database of Steel Structures (NDSS) was developed some years ago to preserve and share experimental data of the ultimate strength tests acquired at Nagoya University, it was not easy to access this database from other computer platform due to the lack of the support of proper communication media. With the rapid development of information networks and their browsers, structural engineers and researchers are able to exchange various types of test data through Internet. This paper presents the development of a distributed collaborative database system for structural steel experiments. The database is made available on the World-Wide Web, and the Java language enables the interactive retrieval efficiently. The applications of the developed database system for the retrieval of experimental data and seismic numerical analysis are validated in the form of examples.

Knowledge transfer : a model framework for construction knowledge integration

Managing information and knowledge in the construction industry is an important focus for research. The goal is to expedite better integration of construction knowledge amongst the stakeholders. Better use of this knowledge could allow the building industry to achieve quality outputs making best use of resources – the linked goals of time, cost and quality. Information networks and knowledge transfer are central to this and are recognized as integral to an industry strategy to improve productivity. However, poor delivery of information to those at the construction site and lack of effective methods of transferring knowledge between parties involved in construction become major challenges. Based on a critical review of literature and an interview survey, this paper identifies the information networks adopted in the Malaysian construction industry and models these using four knowledge transfer components classified as ‘control’, ‘innovation’, ‘best practice’ and ‘audit’ element. Knowledge integration practices - attitude, communication, skills, commitment and monitoring; and factors related to information barriers including accessibility, service delivery, information updates and publication, were identified as critical features for the success of knowledge integration in the Malaysian construction industry. A framework for knowledge transfer is proposed to promote better practices in the Malaysian construction industry.

Constructability : a model framework for knowledge transfer development, a three country comparison

Constructability is an important approach that allows the building industry to achieve quality outputs making best use of resources – the linked goals of time, cost and quality. Information supply and knowledge transfer are central to this and are recognized as integral to an industry strategy to improve productivity. However, poor delivery of information to those at the construction site and lack of effective methods of transferring knowledge between parties involved in construction become major challenges. This paper reviews the building production practices and information networks adopted by three countries to achieve better constructability practices. The elements of ‘control’, ‘innovation’, ‘best practice’ and ‘audit’, identified as key to improving knowledge transfer, are modelled for the construction sectors of Singapore, Australia and Malaysia. A framework for knowledge transfer is proposed to promote better practices in the construction industry.

Mind the gap 2014 : research to inform the next five years of library development

Libraries have a long history of gathering evidence of performance. The results of regular client satisfaction surveys directly inform the continuous improvement of library and information services. Staff and student input is critical for improving library physical and virtual spaces, facilities and resources, and also to learn how the university community may approach information discovery into the future.

At Deakin University Library we are investigating, developing and integrating Web 2.0 applications into our service delivery. At the same time, designs for next generation physical learning spaces are being developed and implemented. These will extend the opportunities for students to contribute to a connected network of learners and teachers, to develop social networks, and to enrich experience of university life. Both the online and spaces strategies support the University’s distinctive advantage in flexible education.

But what of the future? How can the Library ensure that its support of research, teaching and learning aligns with changes in the behaviour and preferences of the university community in the next five years? This paper reviews Deakin University Library’s recent achievements, exposes an important gap and previews its plans to ensure its reliable support to the university community continues.

Informing decision-making in libraries: informetric research as input to LIS education and practice.(Library and Information Science).

Findings from informetric research represent an important background resource to add to the mix of information useful for resolving difficult and ongoing problems in specific library environments or information service settings. This paper provides examples of informetric research that can be useful input to decision-making in the field of library management and information service provision. This overview takes four of the challenges that Michael Buckland outlined for library research as a way of guiding the discussion of ways that informetric work can be used to inform library decision-making. (1) References are made to relevant informetric work undertaken or conducted in Australia, by Australian researchers, or with Australian data.

Informetrics includes both quantitative and qualitative methods, which when used in combination can provide a rounded set of findings that has great validity for management, policy and service applications. Quantitative methodologies are generally based on bibliometric techniques, such as mining and analysis of data from various bibliographic and textual databases. Qualitative methods include survey, case study and historical approaches. Used in combination, each set of findings adds richness and other perspectives to an analysis.

The crossroads approach to information discovery in wireless sensor networks

Wireless sensor networks (WSN) are attractive for information gathering in large-scale data rich environments. In order to fully exploit the data gathering and dissemination capabilities of these networks, energy-efficient and scalable solutions for data storage and information discovery are essential. In this paper, we formulate the information discovery problem as a load-balancing problem, with the combined aim being to maximize network lifetime and minimize query processing delay resulting in QoS improvements. We propose a novel information storage and distribution mechanism that takes into account the residual energy levels in individual sensors. Further, we propose a hybrid push-pull strategy that enables fast response to information discovery queries.

Simulations results prove the proposed method(s) of information discovery offer significant QoS benefits for global as well as individual queries in comparison to previous approaches.

Exploiting affinity propagation for energy-efficient information discovery in sensor networks

Wireless sensor networks (WSN) are attractive for information gathering in large-scale data rich environments. Emerging WSN applications require dissemination of information to interested clients within the network requiring support for differing traffic patterns. Further, in-network query processing capabilities are required for autonomic information discovery. In this paper, we formulate the information discovery problem as a load-balancing problem, with the combined aim being to maximize network lifetime and minimize query processing delay. We propose novel methods for data dissemination, information discovery and data aggregation that are designed to provide significant QoS benefits. We make use of affinity propagation to group "similar" sensors and have developed efficient mechanisms that can resolve both ALL-type and ANY-type queries in-network with improved energy-efficiency and query resolution time. Simulation results prove the proposed method(s) of information discovery offer significant QoS benefits for ALL-type and ANY-type queries in comparison to previous approaches.

Information technology networks and small business : impact, strategies and changing industry structure

Focuses on the impact of information technology networks on small businesses acting as intermediaries between large enterprises and customers. Explores whether disintermediation is a threat for these small business intermediaries. Investigated factors affecting the use of information technology by small businesses to gain positive outcomes.