2014 ACRL Excellence in Academic Libraries Award Application

Robert E. Kennedy Library application for the ACRL Excellence in Academic Libraries Award. Sponsored by the Association of College and Research Libraries (ACRL) and YBP Library Services, the ACRL Excellence in Libraries Award recognizes the staff of a college, university and community college library for programs that deliver exemplary services and resources to further the educational mission of the institution. The Robert E. Kennedy Library received the ACRL Excellence in Libraries Award in the university category in 2014

Rethinking the contractual context for Building Information Modelling (BIM) in the Australian built environment industry

Building Information Modelling (BIM) can be defined as a process of generating and managing information of a building or infrastructure during its life cycle. Whilst the 3D visualisation or dimensional functions of BIM are not necessarily new, it is the usage and integration of this information related to project delivery, management and performance analysis that are challenging current construction industry practices.  Industry has called for the development of more collaborative and integrated contractual arrangements to facilitate the use of BIM. Such recommendations appeal to the ideal use of BIM, but also provide a potential opportunity to seek improvement within the construction industry. This paper proposes a procurement approach to BIM to establish the applicable contractual context to address the potential legal risks and commercial considerations, relative to current practices in Australia. It als ooutlines why BIM, with other enabling technologies, will drive the evolution of contract delivery methodologies

LIPIcs, Volume 277, GIScience 2023, Complete Volume

LIPIcs, Volume 277, GIScience 2023, Complete Volum

Data Reuse and Users’ Trust Judgments: Toward Trusted Data Curation

Data reuse refers to the secondary use of data—not for its original purpose but for studying new problems. Although reusing data might not yet be the norm in every discipline, the benefits of reusing shared data have been asserted by a number of researchers, and data reuse has been a major concern in many disciplines. Assessing data for its trustworthiness becomes important in data reuse with the growth in data creation because of the lack of standards for ensuring data quality and potential harm from using poor-quality data. This dissertation aims to explore many facets of data reusers’ trust in data generated by other researchers, focusing on user-defined trust attributes and the judgment process with influential factors that determine these attributes. Because trust is a complex concept that is explored in multiple disciplines, this study developed a theoretical framework from an extensive literature review in the areas of sociology, social psychology, information, and information systems. This study takes an interpretive qualitative approach by using in-depth semi-structured interviews as the primary research method. The study population comprises reusers of quantitative social science data from public health and social work—the primary disciplines with data reuse cultures. By employing purposive sampling, a total of 38 participants were recruited. The study results suggest different stages of trust development associated with the process of data reuse. Data reusers’ trust may remain the same throughout their experiences, but it can also be formed, lost, declined, and recovered during their data reuse experiences. These various stages reflect the dynamic nature of trust. The user-defined trust attributes that influenced the formation of trust also suggested various implications for data curation. The outcomes of this study will contribute to the current research on data reuse and data curation. Integrating theories and concepts of trust can provide a new theoretical lens to understand reusers’ behaviors and perceptions. Understanding how data reusers trust data will also provide insights on how to improve current data curation activities in a user-trusted way, such as methods that ensure users’ trustworthiness during data curation and develop user evaluation criteria for the trustworthiness of data.Doctor of Philosoph

12th International Conference on Geographic Information Science: GIScience 2023, September 12–15, 2023, Leeds, UK

No abstract available

Libraries, process, and data

The metaphor of knowledge as a product is found throughout contemporary discourse. It can be argued that sometimes product, and at other times process, will be a good, useful, or even the only way something can be viewed. But when one looks at process, one ignores product; and vice versa. This is a fundamental human problem, not an oversight, and as a metaphor echoes Heisenberg's uncertainty principle that suggests we can never know position and momentum simultaneously, but are limited to knowing one or the other. I illustrate briefly how a focus on product dominates discourse on core library issues including scholarly communication and library assessment. I then explore further the implications of this focus for the emerging practice and theory of data curation, despite widespread acknowledgement of both data production and data curation as processes. I conclude by urging greater attention to the possibility and challenge of reshaping practice in data curation around attention to process