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Classification schemes make things happen. The Australian Disability Discrimination Act (DDA), which derives its classification system from the World Health Organization's International Classification of Functioning, Disability and Health (ICF), legislates for adjustments to support the inclusion of people with disability. This study explores how students with disability enrolled in a university experience the systems intended to facilitate their studying “on the same basis” as students without disability.

Through an online questionnaire and interviews comprising open and closed questions made available to students registered with the disability services unit of a university and follow-up interviews with a small number of students, students’ views of their own disability and effects on their participation in learning were gathered, alongside reports of their experiences of seeking support in their learning. Interview data and responses to open-ended questions were analysed using a priori and emergent coding.

The findings demonstrate that students are aware of the workings of the classification scheme and that most accept them. However, some students put themselves outside of the scheme, often as a way to exercise autonomy or to assert their “ability”, while others are excluded from it by the decisions of academic staff. Thus, the principles of fairness and equity enshrined in legislation and policy are weakened.

Through the voices of students with disability, it is apparent that, even though a student's classification according to the DDA and associated university policy remains constant, the outcomes of the workings of the scheme may reveal inconsistencies, emerging from the complexity of bureaucracy, processes and the exercises of power.

With the growing climate problem, it has become a consensus to develop low-carbon technologies to reduce emissions. Electric industry is a major carbon-emitting industry, accounting for 35% of global carbon emissions. Universities, as an important patent application sector in China, promote their patent application and transformation to enhance Chinese technological innovation capability. This study aims to analyze low-carbon electricity technology transformation in Chinese universities.

This paper uses IncoPat to collect patent data. The trend of low-carbon electricity technology patent applications in Chinese universities, the status, patent technology distribution, patent transformation status and patent transformation path of valid patent is analyzed.

Low-carbon electricity technology in Chinese universities has been promoted, and the number of patents has shown rapid growth. Invention patents proportion is increasing, and the transformation has become increasingly active. Low-carbon electricity technology in Chinese universities is mainly concentrated in individual cooperative patent classification (CPC) classification numbers, and innovative technologies will be an important development for electric reduction.

This paper innovatively uses valid patents to study the development of low-carbon electricity technology in Chinese universities, and defines low-carbon technology patents by CPC patent classification system. A new attempt focuses on the development status and direction in low-carbon electricity technology in Chinese universities, and highlights the contribution of valid patents to patent value.

Background: This article presents a methodology to categorize scientific publications according to the targets of the 17 Sustainable Development Goals (SDGs) of the United Nations. For the above, a dataset with bibliographic and descriptive attributes of 2,379 articles from 2017 by co-authors affiliated to the Pontificia Universidad Católica de Chile, indexed in the Web of Science and Scopus databases, was used.

Methods: The methodology considered three relevant and consecutive milestones: establishment of the reading level that was applied for each publication record, which considers a proportional amount of information; assignment of one of the 18 categories identified for the analysis of the information, which include the 17 SDGs and the option “unclassified” and one of the 169 subcategories corresponding to the specific goals; and, finally, recording the status of the review process carried out, which allowed control of the progress and quality of the cross-review.

Results: The results show that 58.6% of the articles contribute to a primary target, of these 233 contribute to a secondary target; goals 3, 4, 9, and 11 are the most frequent in the process of assigning SDGs. There is an 81% increase in the use of alphanumeric targets when they are assigned as secondary targets. At the same time, cross-checking is shown to be beneficial when allowing the reclassification of 190 articles to some of the targets. Finally, it is established that levels 2 and 3 enabled better classification, given that the contents considered provide more information; however, it is significant that through level 1, 355 articles were categorized as “unclassified”.

Conclusions: It is concluded that the methodology allows for a conclusive, exhaustive, rigorous, extensive, and varied classification through the different milestones and actions carried out, providing strategic information for decision making and research management in the academy-society relationship.

This study aims to identify problems connected to information classification in theory and to put those problems into the context of experiences from practice.

Five themes describing problems are discussed in an empirical study, having informants represented from both a public and a private sector organization.

The reasons for problems to occur in information classification are exemplified by the informants’ experiences. The study concludes with directions for future research.

Information classification sustains the basics of security measures. The human–organizational challenges are evident in the activities but have received little attention in research.

Triggered by the advancement of information and communications technology, open access repositories (a variant of digital libraries) is one of the important changes impacting library services. In the context of openness to a wider community to access free resources, Wawasan Open University Library initiated a research project to build open access repositories on open educational resources. Open educational resources (OER) is an area of a multifaceted open movement in education. The purpose of this paper is to show how two web portal repositories on OER materials were developed adopting a Japanese open source software, called WEKO.

The design approach is based on a pull to push strategy whereby metadata of scholarly open access materials kept within the institution and network communities’ digital databases were harvested using the Open Archives Initiatives Protocol for Metadata Harvesting method into another open knowledge platform for discovery by other users.

Positive results emanating from the university open access repositories development showed how it strengthen the role of the librarian as manager of institutional assets and successfully making the content freely available from this open knowledge platform for reuse in learning and teaching.

Developing further programmes to encourage, influence faculty members and prospective stakeholders to use and contribute content to the valuable repositories is indeed a challenging task.

This paper provides insight for academic libraries on how open access repositories development and metadata analysis can enhance new professional challenges for information professionals in the field of data management, data quality and intricacies of supporting data repositories and build new open models of collaboration across institutions and libraries. This paper also describes future collaboration work with institutions in sharing their open access resources.

The purpose of this paper is to explore the indicators of service quality from the perspective of graduating students in a public university in Ghana. The identified indicators of service quality were rated and the extent of satisfaction among the students was determined. Another issue explored was whether the satisfaction among the respondents inures to their loyalty to the university.

A questionnaire was designed, pre-tested and administered to 500 graduating students, and 482 of them were returned for analyses. Principal component analysis was used to determine the indicators of service quality. Independent sample t-test and z-test for proportions were used to compare mean scores and proportions of respondents on various variables, respectively.

The results revealed three indicators of service quality which include quality of academic services and facilities, quality of lecturers and quality of academic programs. Graduands were satisfied with academic services, lecturers and programs. They were, however, not satisfied with the quality of facilities. Majority of the respondents will remain associated with the university as a result of their satisfaction with the services, lecturers as well as programs of the university. It is recommended that the university works assiduously on improving infrastructural facilities to help boost the confidence of the students in the university.

This paper argues that what constitutes quality service vary from one academic institution to the other. It is, therefore, needful for institutions to determine from the perspective of their students what may indicate quality service.

This chapter outlines the structure of research management and administration (RMA) in Vietnam, which is a part of the science and technology management sector. The chapter will present the decentralisation of RMA in Vietnam at many levels: the macro level (state), the medium level (local/province), and the micro level (organisations); describe its characteristics, and identify the conditions for the establishment of the RMA community in Vietnam shortly.