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Full-Text Articles in Social and Behavioral Sciences

Data Fusion For Maas: Opportunities And Challenges, Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, S K. Lau, Jianming Yong Jan 2018

Data Fusion For Maas: Opportunities And Challenges, Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, S K. Lau, Jianming Yong

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Exploring The Potential Of Big Data On The Health Care Delivery Value Chain (Cdvc): A Preliminary Literature And Research Agenda, William J. Tibben, Samuel Fosso Wamba Jan 2018

Exploring The Potential Of Big Data On The Health Care Delivery Value Chain (Cdvc): A Preliminary Literature And Research Agenda, William J. Tibben, Samuel Fosso Wamba

Faculty of Engineering and Information Sciences - Papers: Part B

Big data analytics (BDA) is emerging as a game changer in healthcare. While the practitioner literature has been speculating on the high potential of BDA in transforming the healthcare sector, few rigorous empirical studies have been conducted by scholars to assess the real potential of BDA. Drawing on the health care delivery value chain (CDVC) and an extensive literature review, this exploratory study aims to discuss current peer-reviewed articles dealing with BDA across the CDVC and discuss future research directions.


Data Privacy And System Security For Banking And Financial Services Industry Based On Cloud Computing Infrastructure, Abhishek Mahalle, Jianming Yong, Xiaohui Tao, Jun Shen Jan 2018

Data Privacy And System Security For Banking And Financial Services Industry Based On Cloud Computing Infrastructure, Abhishek Mahalle, Jianming Yong, Xiaohui Tao, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Fast Multi-Resource Allocation With Patterns In Large Scale Cloud Data Center, Jiyuan Shi, Junzhou Luo, Fang Dong, Jiahui Jin, Jun Shen Jan 2018

Fast Multi-Resource Allocation With Patterns In Large Scale Cloud Data Center, Jiyuan Shi, Junzhou Luo, Fang Dong, Jiahui Jin, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

How to achieve fast and efficient resource allocation is an important optimization problem of resource management in cloud data center. On one hand, in order to ensure the user experience of resource requesting, the system has to achieve fast resource allocation to timely process resource requests; on the other hand, in order to ensure the efficiency of resource allocation, how to allocate multi-dimensional resource requests to servers needs to be optimized, such that server's resource utilization can be improved. However, most of existing approaches focus on finding out the mapping of each specific resource request to each specific server ...


Are Urban Development And Densification Patterns Aligned With Infrastructure Funding Allocation? Examining Data From Melbourne 1999-2015, Nicole T. Cook, Ilan Wiesel, Fanqi Liu Jan 2018

Are Urban Development And Densification Patterns Aligned With Infrastructure Funding Allocation? Examining Data From Melbourne 1999-2015, Nicole T. Cook, Ilan Wiesel, Fanqi Liu

Faculty of Social Sciences - Papers

Densification of cities and suburbs is a contentious issue for many communities in lower-density settings. Local opposition to densification is often premised on concerns about the inadequacy of existing infrastructure to support growing populations and is strongest and most successful in wealthier neighbourhoods. While the urban consolidation agenda in cities such as Melbourne and Sydney is justified in policy contexts as a strategy to improve utilisation of existing infrastructure in built up areas, densification over time also produces new demand for services. Whether or not densification drives new infrastructure spending is therefore an important question in the governance of social ...


Tropospheric Water Vapour Isotopologue Data (H216O, H218O, And Hd16O) As Obtained From Ndacc/Ftir Solar Absorption Spectra, Sabine Barthlott, Matthias Schneider, Frank Hase, Thomas Blumenstock, Matthaus Kiel, Darko Dubravica, Omaira García, Eliezer Sepúlveda, Gizaw Mengistu Tsidu, Samuel Takele Kenea, Michel Grutter, Eddy F. Plaza-Medina, Wolfgang Stremme, Kimberly Strong, Dan Weaver, Mathias Palm, Thorsten Warneke, Justus Notholt, Emmanuel Mahieu, Christian Servais, Nicholas B. Jones, David W. T Griffith, D Smale, John Robinson Jan 2017

Tropospheric Water Vapour Isotopologue Data (H216O, H218O, And Hd16O) As Obtained From Ndacc/Ftir Solar Absorption Spectra, Sabine Barthlott, Matthias Schneider, Frank Hase, Thomas Blumenstock, Matthaus Kiel, Darko Dubravica, Omaira García, Eliezer Sepúlveda, Gizaw Mengistu Tsidu, Samuel Takele Kenea, Michel Grutter, Eddy F. Plaza-Medina, Wolfgang Stremme, Kimberly Strong, Dan Weaver, Mathias Palm, Thorsten Warneke, Justus Notholt, Emmanuel Mahieu, Christian Servais, Nicholas B. Jones, David W. T Griffith, D Smale, John Robinson

Faculty of Science, Medicine and Health - Papers: part A

We report on the ground-based FTIR (Fourier transform infrared) tropospheric water vapour isotopologue remote sensing data that have been recently made available via the database of NDACC (Network for the Detection of Atmospheric Composition Change; ftp://ftp.cpc.ncep.noaa.gov/ndacc/MUSICA/) and via doi:10.5281/zenodo.48902. Currently, data are available for 12 globally distributed stations. They have been centrally retrieved and quality-filtered in the framework of the MUSICA project (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water). We explain particularities of retrieving the water vapour isotopologue state (vertical distribution of H21 ...


Whole Grain Intake Of Australians Estimated From A Cross-Sectional Analysis Of Dietary Intake Data From The 2011-13 Australian Health Survey, Leanne M. Galea, Eleanor J. Beck, Yasmine Probst, Chris Cashman Jan 2017

Whole Grain Intake Of Australians Estimated From A Cross-Sectional Analysis Of Dietary Intake Data From The 2011-13 Australian Health Survey, Leanne M. Galea, Eleanor J. Beck, Yasmine Probst, Chris Cashman

Faculty of Science, Medicine and Health - Papers: part A

Objective: The Australian Dietary Guidelines recommend Australians choose mostly whole-grain and/or high-fibre varieties within the grains (cereal) foods category, with other groups specifying a whole grain Daily Target Intake of 48 g for Australians aged 9 years or above. The USA and UK report estimates of whole grain intake that are low and declining, and no comprehensive studies on whole grain intake in the Australian population are available. The present study aimed to determine national estimates of whole grain intake, compared with current recommendations. Design: A recently updated whole grain database was applied to the most current population dietary ...


'Multimorbidity In Australia: Comparing Estimates Derived Using Administrative Data Sources And Survey Data', Sanja Lujic, Judy Simpson, Nicholas Arnold Zwar, Hassan Hosseinzadeh, Louisa R. Jorm Jan 2017

'Multimorbidity In Australia: Comparing Estimates Derived Using Administrative Data Sources And Survey Data', Sanja Lujic, Judy Simpson, Nicholas Arnold Zwar, Hassan Hosseinzadeh, Louisa R. Jorm

Faculty of Social Sciences - Papers

Background

Estimating multimorbidity (presence of two or more chronic conditions) using administrative data is becoming increasingly common. We investigated (1) the concordance of identification of chronic conditions and multimorbidity using self-report survey and administrative datasets; (2) characteristics of people with multimorbidity ascertained using different data sources; and (3) whether the same individuals are classified as multimorbid using different data sources.

Methods

Baseline survey data for 90,352 participants of the 45 and Up Study—a cohort study of residents of New South Wales, Australia, aged 45 years and over—were linked to prior two-year pharmaceutical claims and hospital admission records ...


Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving For Cloud Storage, Yong Yu, Man Ho Au, Giuseppe Ateniese, Xinyi Huang, Willy Susilo, Yuanshun Dai, Geyong Min Jan 2017

Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving For Cloud Storage, Yong Yu, Man Ho Au, Giuseppe Ateniese, Xinyi Huang, Willy Susilo, Yuanshun Dai, Geyong Min

Faculty of Engineering and Information Sciences - Papers: Part A

Remote data integrity checking (RDIC) enables a data storage server, say a cloud server, to prove to a verifier that it is actually storing a data owner's data honestly. To date, a number of RDIC protocols have been proposed in the literature. However, most of the constructions suffer from the issue of requiring complex key management. That is, they rely on the expensive public key infrastructure (PKI), which might hinder the deployment of RDIC in practice. In this paper, we propose a new construction of identity-based (ID-based) RDIC protocol by making use of key-homomorphic cryptographic primitive to reduce the ...


Sharing Social Network Data: Differentially Private Estimation Of Exponential Family Random-Graph Models, Vishesh Karwa, Pavel N. Krivitsky, Aleksandra B. Slavkovic Jan 2017

Sharing Social Network Data: Differentially Private Estimation Of Exponential Family Random-Graph Models, Vishesh Karwa, Pavel N. Krivitsky, Aleksandra B. Slavkovic

Faculty of Engineering and Information Sciences - Papers: Part A

Motivated by a real life problem of sharing social network data that contain sensitive personal information, we propose a novel approach to release and analyse synthetic graphs to protect privacy of individual relationships captured by the social network while maintaining the validity of statistical results. A case-study using a version of the Enron e-mail corpus data set demonstrates the application and usefulness of the proposed techniques in solving the challenging problem of maintaining privacy and supporting open access to network data to ensure reproducibility of existing studies and discovering new scientific insights that can be obtained by analysing such data ...


Metamorphic Testing For Adobe Data Analytics Software, Darryl C. Jarman, Zhiquan Zhou, Tsong Yueh Chen Jan 2017

Metamorphic Testing For Adobe Data Analytics Software, Darryl C. Jarman, Zhiquan Zhou, Tsong Yueh Chen

Faculty of Engineering and Information Sciences - Papers: Part B

It is challenging to test data analytics software because a test oracle might not be available. This study reports our experience of applying metamorphic testing to Adobe's data analytics software that is used for anomaly detection in a set of time series data. We make use of geometric transformations to build metamorphic relations and generate simple time series data as the source test cases. The results of this study show that metamorphic testing is highly effective for both verification and validation purposes. An investigation of the issues detected during metamorphic testing revealed three bugs in the software under test.


Text Data Mining Of Aged Care Accreditation Reports To Identify Risk Factors In Medication Management In Australian Residential Aged Care Homes, Tao Jiang, Siyu Qian, David M. Hailey, Jun Ma, Ping Yu Jan 2017

Text Data Mining Of Aged Care Accreditation Reports To Identify Risk Factors In Medication Management In Australian Residential Aged Care Homes, Tao Jiang, Siyu Qian, David M. Hailey, Jun Ma, Ping Yu

Faculty of Engineering and Information Sciences - Papers: Part B

This study aimed to identify risk factors in medication management in Australian residential aged care (RAC) homes. Only 18 out of 3,607 RAC homes failed aged care accreditation standard in medication management between 7th March 2011 and 25th March 2015. Text data mining methods were used to analyse the reasons for failure. This led to the identification of 21 risk indicators for an RAC home to fail in medication management. These indicators were further grouped into ten themes. They are overall medication management, medication assessment, ordering, dispensing, storage, stock and disposal, administration, incident report, monitoring, staff and resident satisfaction ...


Towards Massive Data And Sparse Data In Adaptive Micro Open Educational Resource Recommendation: A Study On Semantic Knowledge Base Construction And Cold Start Problem, Geng Sun, Tingru Cui, Ghassan Beydoun, Shiping Chen, Fang Dong, Dongming Xu, Jun Shen Jan 2017

Towards Massive Data And Sparse Data In Adaptive Micro Open Educational Resource Recommendation: A Study On Semantic Knowledge Base Construction And Cold Start Problem, Geng Sun, Tingru Cui, Ghassan Beydoun, Shiping Chen, Fang Dong, Dongming Xu, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

Micro Learning through open educational resources (OERs) is becoming increasingly popular. However, adaptive micro learning support remains inadequate by current OER platforms. To address this, our smart system, Micro Learning as a Service (MLaaS), aims to deliver personalized OER with micro learning to satisfy their real-time needs.


Cost-Effective Big Data Mining In The Cloud: A Case Study With K-Means, Qiang He, Xiaodong Zhu, Dongwei Li, Shuliang Wang, Jun Shen, Yun Yang Jan 2017

Cost-Effective Big Data Mining In The Cloud: A Case Study With K-Means, Qiang He, Xiaodong Zhu, Dongwei Li, Shuliang Wang, Jun Shen, Yun Yang

Faculty of Engineering and Information Sciences - Papers: Part B

Mining big data often requires tremendous computationalresources. This has become a major obstacle to broad applicationsof big data analytics. Cloud computing allows data scientists to access computationalresources on-demand for building their big data analytics solutions in the cloud.


Towards Cost Reduction In Cloud-Based Workflow Management Through Data Replication, Fei Xie, Jun Yan, Jun Shen Jan 2017

Towards Cost Reduction In Cloud-Based Workflow Management Through Data Replication, Fei Xie, Jun Yan, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Collaborative Data Analytics Towards Prediction On Pathogen-Host Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Jiangning Song Jan 2017

Collaborative Data Analytics Towards Prediction On Pathogen-Host Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Jiangning Song

Faculty of Engineering and Information Sciences - Papers: Part B

Nowadays more and more data are being sequenced and accumulated in system biology, which bring the data analytics researchers to a brand new era, namely 'big data', to extract the inner relationship and knowledge from the huge amount of data.


Compositional Data Analysis As A Robust Tool To Delineate Hydrochemical Facies Within And Between Gas-Bearing Aquifers, D D.R Owen, V Pawlowsky-Glahn, J J. Egozcue, A Buccianti, John M. Bradd Jan 2016

Compositional Data Analysis As A Robust Tool To Delineate Hydrochemical Facies Within And Between Gas-Bearing Aquifers, D D.R Owen, V Pawlowsky-Glahn, J J. Egozcue, A Buccianti, John M. Bradd

Faculty of Science, Medicine and Health - Papers: part A

Isometric log ratios of proportions of major ions, derived from intuitive sequential binary partitions, are used to characterize hydrochemical variability within and between coal seam gas (CSG) and surrounding aquifers in a number of sedimentary basins in the USA and Australia. These isometric log ratios are the coordinates corresponding to an orthonormal basis in the sample space (the simplex). The characteristic proportions of ions, as described by linear models of isometric log ratios, can be used for a mathematical-descriptive classification of water types. This is a more informative and robust method of describing water types than simply classifying a water ...


Two-Factor Data Security Protection Mechanism For Cloud Storage System, Joseph K. Liu, Kaitai Liang, Willy Susilo, Jianghua Liu, Yang Xiang Jan 2016

Two-Factor Data Security Protection Mechanism For Cloud Storage System, Joseph K. Liu, Kaitai Liang, Willy Susilo, Jianghua Liu, Yang Xiang

Faculty of Engineering and Information Sciences - Papers: Part A

In this paper, we propose a two-factor data security protection mechanism with factor revocability for cloud storage system. Our system allows a sender to send an encrypted message to a receiver through a cloud storage server. The sender only needs to know the identity of the receiver but no other information (such as its public key or its certificate). The receiver needs to possess two things in order to decrypt the ciphertext. The first thing is his/her secret key stored in the computer. The second thing is a unique personal security device which connects to the computer. It is ...


A Data-Driven Predictive Model For Residential Mobility In Australia - A Generalised Linear Mixed Model For Repeated Measured Binary Data, Mohammad-Reza Namazi-Rad, Payam Mokhtarian, Nagesh Shukla, Albert Munoz Jan 2016

A Data-Driven Predictive Model For Residential Mobility In Australia - A Generalised Linear Mixed Model For Repeated Measured Binary Data, Mohammad-Reza Namazi-Rad, Payam Mokhtarian, Nagesh Shukla, Albert Munoz

Faculty of Engineering and Information Sciences - Papers: Part A

Household relocation modelling is an integral part of the Government planning process as residential movements influence the demand for community facilities and services. This study will address the problem of modelling residential relocation choice by estimating a logit-link class model. The proposed model estimates the probability of an event which triggers household relocation. The attributes considered in this study are: requirement for bedrooms, employment status, income status, household characteristics, and tenure (i.e. duration living at the current location). Accurate prediction of household relocations for population units should rely on real world observations. In this study, a longitudinal survey data ...


A Bottom-Up Data Collection Methodology For Characterising The Residential Building Stock In Australia, Clayton Mcdowell, Georgios Kokogiannakis, Paul Cooper, Michael P. Tibbs Jan 2016

A Bottom-Up Data Collection Methodology For Characterising The Residential Building Stock In Australia, Clayton Mcdowell, Georgios Kokogiannakis, Paul Cooper, Michael P. Tibbs

Faculty of Engineering and Information Sciences - Papers: Part B

In Australia the majority of the current residential building stock has been constructed with little regard to energy consumption or thermal comfort. With only 1-2 % of Australia's building stock being replaced each year retrofitting solutions are necessary if residential energy consumption is to be reduced. Australia's records of the characteristics of its current building stock are minimal and outdated and thus these need to be renewed to enable the evaluation of retrofit upgrade strategies. Thus this paper presents a methodology and results of a bottom-up data collection tool that captured building and occupant characteristics from 200 elderly low ...


Modeling Hierarchical Relationships In Hinkle's Implications Grid Data, Richard Bell, Peter Caputi, Leonie M. Miller Jan 2016

Modeling Hierarchical Relationships In Hinkle's Implications Grid Data, Richard Bell, Peter Caputi, Leonie M. Miller

Faculty of Social Sciences - Papers

There have been few attempts to devise suitable methods of analysis for the implications grid devised by Hinkle (1965). As Hinkle noted (Hinkle, 1965, p. 63), there are three implications needed to define a hierarchical relationship (A → B, B → C, and A → C). Hinkle did not attempt to test this requirement, as neither did the only other published use of the technique (Fransella, 1972). Subsequently, Caputi, Breiger, and Pattison (1990) published a technique that explicitly sought to model implications data with respect to this requirement. In this study we use this technique to both (a) evaluate some of the choice ...


Evaluation Of A Personal Data Logger To Measure Real-Time Breathing Cycles Across Varying Work Rates, Jane L. Whitelaw, Alison L. Jones, Brian Davies, Gregory E. Peoples Jan 2016

Evaluation Of A Personal Data Logger To Measure Real-Time Breathing Cycles Across Varying Work Rates, Jane L. Whitelaw, Alison L. Jones, Brian Davies, Gregory E. Peoples

Faculty of Social Sciences - Papers

Abstract presented at The 18th International Conference of International Society for Respiratory Protection, 7-11 November 2016, Yokohama, Japan.


Public Cloud Data Auditing With Practical Key Update And Zero Knowledge Privacy, Yong Yu, Yannan Li, Man Ho Au, Willy Susilo, Kim-Kwang Raymond Choo, Xinpeng Zhang Jan 2016

Public Cloud Data Auditing With Practical Key Update And Zero Knowledge Privacy, Yong Yu, Yannan Li, Man Ho Au, Willy Susilo, Kim-Kwang Raymond Choo, Xinpeng Zhang

Faculty of Engineering and Information Sciences - Papers: Part A

Data integrity is extremely important for cloud based storage services, where cloud users no longer have physical possession of their outsourced files. A number of data auditing mechanisms have been proposed to solve this problem. However, how to update a cloud user's private auditing key (as well as the authenticators those keys are associated with) without the user's re-possession of the data remains an open problem. In this paper, we propose a key-updating and authenticator-evolving mechanism with zero-knowledge privacy of the stored files for secure cloud data auditing, which incorporates zero knowledge proof systems, proxy re-signatures and homomorphic ...


Towards Data Analytics Of Pathogen-Host Protein-Protein Interaction: A Survey, Huaming Chen, Jun Shen, Lei Wang, Jiangning Song Jan 2016

Towards Data Analytics Of Pathogen-Host Protein-Protein Interaction: A Survey, Huaming Chen, Jun Shen, Lei Wang, Jiangning Song

Faculty of Engineering and Information Sciences - Papers: Part A

"Big Data" is immersed in many disciplines, including computer vision, economics, online resources, bioinformatics and so on. Increasing researches are conducted on data mining and machine learning for uncovering and predicting related domain knowledge. Protein-protein interaction is one of the main areas in bioinformatics as it is the basis of the biological functions. However, most pathogen-host protein-protein interactions, which would be able to reveal much more infectious mechanisms between pathogen and host, are still up for further investigation. Considering a decent feature representation of pathogen-host protein-protein interactions (PHPPI), currently there is not a well structured database for research purposes, not ...


Predictive Inference For Big, Spatial, Non-Gaussian Data: Modis Cloud Data And Its Change-Of-Support, Aritra Sengupta, Noel A. Cressie, Brian H. Kahn, Richard Frey Jan 2016

Predictive Inference For Big, Spatial, Non-Gaussian Data: Modis Cloud Data And Its Change-Of-Support, Aritra Sengupta, Noel A. Cressie, Brian H. Kahn, Richard Frey

Faculty of Engineering and Information Sciences - Papers: Part A

Remote sensing of the earth with satellites yields datasets that can be massive in size, nonstationary in space, and non-Gaussian in distribution. To overcome computational challenges, we use the reduced-rank spatial random effects (SRE) model in a statistical analysis of cloud-mask data from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on board NASA's Terra satellite. Parameterisations of cloud processes are the biggest source of uncertainty and sensitivity in different climate models' future projections of Earth's climate. An accurate quantification of the spatial distribution of clouds, as well as a rigorously estimated pixel-scale clear-sky-probability process, is needed to ...


Down The Methodological Rabbit Hole: Thinking Diffractively With Resistant Data, Gary Levy, Christine Halse, Jan Wright Jan 2016

Down The Methodological Rabbit Hole: Thinking Diffractively With Resistant Data, Gary Levy, Christine Halse, Jan Wright

Faculty of Social Sciences - Papers

This article, part of a larger study, began with an inquiry into the ways a small group of preteen boys and girls with diagnosed eating disorders discussed their ideas and attitudes about healthy bodies in individual interviews. Despite applying some of the usual analytic procedures, the data yielded little of significance in relation to body and health discourses, or to gender differences. We therefore wondered whether our underlying epistemological lenses and methodological toolkit had prevented us from seeing and hearing what was happening with this particular cohort. By shifting from a predominantly feminist post-structuralist, socio-cultural approach to one more inflected ...


Age-Depth Model Of The Past 630 Kyr For Lake Ohrid (Fyrom/Albania) Based On Cyclostratigraphic Analysis Of Downhole Gamma Ray Data, Henrike Baumgarten, Thomas Wonik, D C. Tanner, Alexander Francke, Bernd Wagner, Giovanni Zanchetta, Roberto Sulpizio, Biagio Giaccio, Sebastien Nomade Jan 2015

Age-Depth Model Of The Past 630 Kyr For Lake Ohrid (Fyrom/Albania) Based On Cyclostratigraphic Analysis Of Downhole Gamma Ray Data, Henrike Baumgarten, Thomas Wonik, D C. Tanner, Alexander Francke, Bernd Wagner, Giovanni Zanchetta, Roberto Sulpizio, Biagio Giaccio, Sebastien Nomade

Faculty of Science, Medicine and Health - Papers: part A

Gamma ray (GR) fluctuations and potassium (K) values from downhole logging data obtained in the sediments of Lake Ohrid from 0 to 240 m below lake floor (b.l.f). correlate with fluctuations in δ18O values from the global benthic isotope stack LR04 (Lisiecki and Raymo, 2005). GR and K values are considered a reliable proxy to depict glacial-interglacial cycles, with high clastic input during cold and/or drier periods and high carbonate precipitation during warm and/or humid periods at Lake Ohrid. Spectral analysis was applied to investigate the climate signal and evolution over the length of the borehole ...


Streaming Physiological Data: General Public Perceptions Of Secondary Use And Application To Research In Neonatal Intensive Care, Carolyn P. Mcgregor, Jennifer A. Heath, Yvonne Choi Jan 2015

Streaming Physiological Data: General Public Perceptions Of Secondary Use And Application To Research In Neonatal Intensive Care, Carolyn P. Mcgregor, Jennifer A. Heath, Yvonne Choi

Deputy Vice-Chancellor (Academic) - Papers

High speed physiological data represents one of the most untapped resources in healthcare today and is a form of Big Data. Physiological data is captured and displayed on a wide range of devices in healthcare environments. Frequently this data is transitory and lost once initially displayed. Researchers wish to store and analyze these datasets, however, there is little evidence of any engagement with citizens regarding their perceptions of physiological data capture for secondary use. This paper presents the findings of a self-administered household survey (n=165, response rate = 34%) that investigated Australian and Canadian citizens' perceptions of such physiological data ...


Data Driven Decision Making In Chemistry First Year Subjects, Simon Bernard Bedford, Jennifer A. Heath Jan 2015

Data Driven Decision Making In Chemistry First Year Subjects, Simon Bernard Bedford, Jennifer A. Heath

Deputy Vice-Chancellor (Academic) - Papers

Analytics is not a new area of endeavour with many industries and other professions being well ahead of the education sector in the uptake of advanced analytics methods and tools (Abdous, He, & Yen, 2012; Dziuban, Moskal, Cavanagh, & Watts, 2012). Wagner and Ice (2012) describe higher education as being on the early side of the analytics adoption curve when compared to retail, telecommunications, financial services and manufacturing. Analytics is often used in higher education institutions to identify and also predict individual students who may be 'at risk' (Fritz, 2011).


Effective Practices For Interagency Data Sharing: Insights From Collaborative Research In A Regional Intervention, Pauline M. Mcguirk, Phillip O'Neill, Kathleen Mee Jan 2015

Effective Practices For Interagency Data Sharing: Insights From Collaborative Research In A Regional Intervention, Pauline M. Mcguirk, Phillip O'Neill, Kathleen Mee

Faculty of Social Sciences - Papers

Data sharing adds considerable value to interagency programs that seek to tackle complex social problems. Yet data sharing is not easily enacted either technically or as a governance practice, especially considering the multiple forms of risk involved. This article presents insights from a successful data sharing project in a major region in east coast Australia involving a federally funded research partnership between two universities and a number of human services agencies. The Spatial Data Analysis Project sought to establish a community of practice for devising data sharing protocols and embedding data sharing into agency practices. Close dialogue between the project ...