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Platforms are integral to the lives of Australians. Although the main platforms are subject to Australian privacy law, the law fails to satisfactorily deal with the privacy threats posed by them. Serious weaknesses in the law were identified in the Australian Competition and Consumer Commission's report on Digital Platforms, which recommended reforms. Those weaknesses were confirmed, at least in part, by the Commonwealth Government response to the Digital Platforms report. This article explains and analyses the liability of platform operators under the most relevant Australian privacy laws: the Privacy Act 1988 (Cth) and the action for breach of confidence. The article concludes with analysis and observations as to how Australian law relating to platforms might be reformed to more effectively protect the privacy of individual Australians whose information is processed by platform operators. [ABSTRACT FROM AUTHOR]

Mineral exploration and mining are data-driven industries. Here, we emphasize the role of “ data upcycling ” as a significant contributor to modern exploration. Upcycling can take three basic forms, all aimed at enhancing the veracity of data: (1) re-collection of data, (2) collection of complimentary data, and (3) assessment and innovative portrayal/integration of data. Upcycling of previously collected (or legacy) data allows information to be integrated into modern datasets. This paper offers perspectives and examples on how data upcycling benefits mineral exploration, with short case studies from Western Australia highlighting the role of government, service providers and resource explorers. [ABSTRACT FROM AUTHOR]

Population health data, collected worldwide in an effort to monitor mortality and morbidity of mothers and babies, namely, perinatal data, are mandated at a federal level within Australia. The data are used to monitor patterns in midwifery, obstetric and neonatal practice, health outcomes, used for research purposes, funding allocation and education. Accuracy in perinatal data is most often reported via quantitative validation studies of perinatal data collections both internationally and in Australia. These studies report varying levels of accuracy and suggest researchers need to be more aware of the quality of data they use. This article presents findings regarding issues of concern identified by midwives relating to their perceptions of how technology affects the accuracy of perinatal data records. Perinatal data records are perceived to be more complete when completed electronically. However, issues regarding system functionality, the inconsistent use of terminology, lack of data standards and the absence of clear, written records contribute to midwives’ perceptions of the negative influence of technology on the quality of perinatal data. [ABSTRACT FROM AUTHOR]

This article proposes a Female Leadership Framework for the formation of a Female Leadership Identity in order to aid the development of adolescent girls as future women leaders. In devising this framework, numerous qualitative studies have been conducted using a variety of data collection methods. Firstly, school documents from Australian and New Zealand girls' schools were analysed, followed by the electronic survey of educational staff from these same regions. Data were then collected through the use of student focus groups, each group comprised female students from across Australia, with one school located in South Africa. Finally, interviews with women leaders from both Australia and the United Kingdom were carried out. From a synthesis of these findings and current literature, a Female Leadership Framework has been developed. It is recommended that this framework and associated strategies be used in order to holistically prepare girls for the challenges that they may face in their acquisition of leadership skills and leadership positions in their adult life. [ABSTRACT FROM AUTHOR]

Practices in seven key areas from requirements engineering (RE) good practice guide are examined via in-depth interviews with ten Australian software development organisations. Our objective is to provide a better understanding of the relative perceived value of the RE practices investigated and to provide an initial assessment of the appropriateness of Sommerville and Sawyer's three classification levels. We used in-depth interviews as our main approach to collecting data. We assessed practices as either standardised use, normal use, used at the discretion of project manager or never used. We found that the single most standardised, or valuable, practice for 1) documentation, was making a business case of a project, for 2) elicitation, it was assessing system feasibility, 3) for analysis and negotiation, it was defining system boundaries, 4) for requirements description, it was to specify requirements quantitatively and to define standard templates for requirements, 5) for system modelling, it was to use a data dictionary, 6) for validation, it was to propose test cases, and 7) for management, it was to define a change management process. We suggest Sommerville and Sawyer's classification of basic, intermediate and advanced practices needs some reconsideration to bring his list into alignment with current industry practices. [ABSTRACT FROM AUTHOR]