This document provides an overview of AURIN, a federated network of data and research hubs that empowers research into the built environment. It describes AURIN's data portal and analytics tools and shares case studies demonstrating how AURIN has supported academic and government research projects across multiple scales from the neighborhood to metropolitan and national levels by providing open access to authoritative datasets and analytical capabilities.
Drones in the Earth Sciences - Opportunities and issuesARDC
Tim Rawling – AuScope, our vision and the National Research Infrastructure investment landscape
Steven Micklethwaite – Opportunity for application of drones in the Earth Sciences, technology and issues
VISION / AMBITION
-Australia the first drone-sensed nation (cm-scale)
-Pre-competitive data release for industry, environmental management, education & research
-Conventional survey & remote sensing techniques at ultra-high resolution and flexibility (time-series, rapid response etc)
-Next gen “UNDERCOVER” techniques (minerals and water resources)
The presentation provides overview and significance of the TERN long term ecological research network. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
AusCover Earth Observation Services and Data CubesTERN Australia
The presentation provides an overview of earth observation services offered by AusCover Facility of TERN. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
ACEF: Australian Coastal Ecosystems FacilityTERN Australia
The presentation provides an overview of services offered by ACEF. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
Eco-informatics: Data services for bringing together and publishing the full ...TERN Australia
The presentation provides an overview of Advanced Ecological Knowledge and Observation System and SHaRED services by the TERN Eco-informatics to publish plot-based ecological data. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
Drones in the Earth Sciences - Opportunities and issuesARDC
Tim Rawling – AuScope, our vision and the National Research Infrastructure investment landscape
Steven Micklethwaite – Opportunity for application of drones in the Earth Sciences, technology and issues
VISION / AMBITION
-Australia the first drone-sensed nation (cm-scale)
-Pre-competitive data release for industry, environmental management, education & research
-Conventional survey & remote sensing techniques at ultra-high resolution and flexibility (time-series, rapid response etc)
-Next gen “UNDERCOVER” techniques (minerals and water resources)
The presentation provides overview and significance of the TERN long term ecological research network. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
AusCover Earth Observation Services and Data CubesTERN Australia
The presentation provides an overview of earth observation services offered by AusCover Facility of TERN. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
ACEF: Australian Coastal Ecosystems FacilityTERN Australia
The presentation provides an overview of services offered by ACEF. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
Eco-informatics: Data services for bringing together and publishing the full ...TERN Australia
The presentation provides an overview of Advanced Ecological Knowledge and Observation System and SHaRED services by the TERN Eco-informatics to publish plot-based ecological data. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
The presentation provides an overview on how TERN data infrastructure works. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
CoESRA: Platform for collaborative researchTERN Australia
The presentation provides an overview of CoESRA, a cloud-based platform to build, execute and share complex analysis and synthesis experiments. The infrastructure is offered as "Platform as a Service in virtual desktop. The presentation is part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond
Radar and optical remote sensing data evaluation and fusion; a case study for...rsmahabir
The recent increase in the availability of spaceborne radar in different wavelengths with multiple polarisations provides new opportunities for land surface analysis. This research effort explored how different radar data, and derived texture values, indepen- dently and in combination with optical imagery influence land cover/use classification accuracies for a study site in Washington, DC, USA. Two spaceborne radar images, Radarsat-2L-band and Palsar C-band quad-polarised radar, were registered with Aster optical data for this study. Traditional methods of classification were applied to various components and combinations of this data set, and overall and class-specific thematic accuracies obtained for comparison. The results for the two despeckled radar data sets were quite different, with Radarsat-2 obtaining an overall accuracy of 59% and Palsar 77%, while that of the optical Aster was 90%. Combining the original radar and a variance texture measure increased the accuracy of Radarsat-2 to 71% but that of Palsar only to 78%. One of the sensor fusions of optical and radar obtained an accuracy of 93%. For this location, radar by itself does not obtain classification accuracies as high as optical data, but fusion with optical imagery provides better overall thematic accuracy than the optical independently, and results in some useful improvements on a class-by-class basis. For those regions with high cloud cover, quad polarisation radar can independently provide viable results but it may be wavelength-dependent.
Department of Geography and Geoinformation Science Seminar, George Mason University, Falls Church, VA, September 2015.
Increasingly, GIS is part of the collaboration between computer scientists, information scientists, and domain scientists to solve complex scientific questions. Successfully addressing scientific problems, such as informing regional decision- and policy-making for coastal zone management and marine spatial planning, requires integrative and innovative approaches to analyzing, modeling, and developing extensive and diverse data sets. The current chaotic distribution of available data sets, lack of documentation about them, and lack of easy-to-use access tools and computer modeling and analysis codes are still major obstacles for scientists and educators alike. Contributing solutions to these problems is part of an emerging science agenda at Esri for a range of environmental, conservation, climate and ocean sciences that will be discussed. The talk will highlight some recent projects in progress, including a new global map of ecological land units, new tools to support multidimensional scientific data, continued work on an ocean basemap, and more.
RINPAS Data for Decisions - Big Data and Data CommunitiesHelen Thompson
The Research Innovation Network for Precision Agriculture systems held a workshop in Sydney from 31 May to 1 June 2016 where the focus was on Data for Decisions - Big Data and Data Communities. This presentation profiles research being undertaken by Federation University Australia's Centre for eResearch and Digital Innovation which includes knowledge management, spatial research and decision tools including for agriculture.
AusPlots field data collection with AusScribeTERN Australia
The presentation provides an overview of AuScribe, an Android-based ecology field survey App based on AusPLots Rangelands Survey Protocols Manual. The presentation is part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond
TERN's Siddeswara Guru presents on the Australian Ecosystem Science Cloud, which will provide the ecosystem science community improved access to shared data, tools, platforms and computing resources.
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 3Gianpaolo Coro
An e-Infrastructure is a distributed network of service nodes, residing on multiple sites and managed by one or more organizations. e-Infrastructures allow scientists residing at distant places to collaborate. They offer a multiplicity of facilities as-a-service, supporting data sharing and usage at different levels of abstraction, e.g. data transfer, data harmonization, data processing workflows etc. e-Infrastructures are gaining an important place in the field of biodiversity conservation. Their computational capabilities help scientists to reuse models, obtain results in shorter time and share these results with other colleagues. They are also used to access several and heterogeneous biodiversity catalogues.
In this course, the D4Science e-Infrastructure will be used to conduct experiments in the field of biodiversity conservation. D4Science hosts models and contributions by several international organizations involved in the biodiversity conservation field. The course will give students an overview of the models, the practices and the methods that large international organizations like FAO and UNESCO apply by means of D4Science. At the same time, the course will introduce students to the basic concepts under e-Infrastructures, Virtual Research Environments, data sharing and experiments reproducibility.
An evaluation of Radarsat-2 individual and combined image dates for land use/...rsmahabir
Various land use/cover types exhibit seasonal characteristics which can be captured in remotely sensed imagery. This study examined how different seasons of Radarsat-2 data influence land use/cover classification accuracies for two study sites. Two dates of Radarsat-2 C-band quad-polarized images were obtained for Washington, D.C., USA and Wad Madani, Sudan. Spectral signatures were extracted and used with a maximum likelihood decision rule for classification and thematic accuracies were then determined. Both despeckled radar and derived texture measures were examined. Thematic accuracies for the two despeckled image dates were similar with a difference of 3% for Washington and 6% for Sudan. Merging the despeckled images for both seasons increased overall accuracy by 2% for Washington and 9% for Sudan. Further combining the original radar for both seasons with derived texture measures increased overall accuracies by 9% for Washington and 16% for Sudan for final overall accuracy values of 73% and 82%.
Gaps, needs and options–A design study for long-term greenhouse gas observati...ILRI
Poster prepared by V. Jorch, M. Acosta, J. Beck, A. Bombelli, C. Brümmer, K. Butterbach-Bahl, B. Fiedler, E. Grieco, J. Helmschrot, W. Hugo, T. Johannessen, A. Körtzinger, W. Kutsch, A. López-Ballesteros, L. Merbold, E. Salmon, M. Saunders and B. Scholes for the SEACRIFOG project.
Relative value of radar and optical data for land cover/use mapping: Peru exa...rsmahabir
This study determined using divergence measures the best indivi- dual and combinations of various numbers of bands for six land cover/use classes around the city of Arequipa, Peru. A 15 band data stack consisting of PALSAR L-band dual-polarised radar, Landsat optical data, as well as six variance texture measures extracted from the PALSAR images, was used in this study. Spectral signatures were obtained for each class for the diver- gence examination. The band having the highest separability was the Landsat visible red band followed by the two largest window PALSAR texture measures. The best three band combina- tion included three very different data types, Landsat visible red, near infrared and the PALSAR HH variance texture from a 17 × 17 pixel window. There was no need based upon the diver- gence values to use more than five bands for classification.
Better Hackathon 2020 ETHZ - Comparing Static And Dynamic Effects Of EarthquakesPRBETTER
As part of the final BETTER Hackathon, project partners prepared 4 hackathon exercises. ETHZ organised this exercise as the challenge promoter for the Geohazards thematic area. This open exercise featured the use of Binder and purposely provided cloud resources but could also be run locally through a Docker image and Docker Compose. The focus of this half-day exercise was to find a convenient way of exploitation of Co-seismic interferograms, by using developed BETTER pipelines. The idea was to produce geocoded maps combining automatically the important results to have a convenient visualisation that helps interpreting results.Participants were expected to be familiar with the Jupyter environment (Python 3) and the most common EO libraries (e.g. GDAL). The recorded part includes the introduction of the exercise in the context of the BETTER project.
Data-intensive science lives from data. More and more interdisciplinary projects are aligned to mutually gain access to their data, models and results. In order to achieving this, an umbrella project GLUES is established in the context of the “Sustainable Land Management” (LAMA) initiative funded by the German Federal Ministry of Education and Research (BMBF). The GLUES (Global Assessment of Land Use Dynamics, Greenhouse Gas Emissions and Ecosystem Services) project supports several different regional projects of the LAMA initiative: Within the framework of GLUES a Spatial Data Infrastructure (SDI) is implemented to facilitate publishing, sharing and maintenance of distributed global and regional scientific data sets as well as model results. The GLUES SDI supports several OGC webservices like the Catalog Service Web (CSW) which enables it to harvest data from varying regional projects.
One of these regional projects is SuMaRiO (Sustainable Management of River Oases along the Tarim River) which aims to support oasis management along the Tarim River (PR China) under conditions of climatic and societal changes. SuMaRiO itself is an interdisciplinary and spatially distributed project. Working groups from twelve German institutes and universities are collecting data and driving their research in disciplines like Hydrology, Remote Sensing, and Agricultural Sciences among others. Each working group is dependent on the results of another working group. Due to the spatial distribution of participating institutes the data distribution is solved by using the eSciDoc infrastructure at the German Research Centre for Geosciences (GFZ). Further, the metadata based data exchange platform PanMetaDocs will be used by participants collaborative. PanMetaDocs supports an OAI-PMH interface which enables an Open Source metadata portal like GeoNetwork to harvest the information. The data added in PanMetaDocs can be labeled with a DOI (Digital Object Identifier) to publish the data and to harvest this information subsequently by the GLUES SDI. Our contribution will show the architecture of this new established SuMaRiO infrastructure node in a superordinate network of the GLUES infrastructure.
"Clean Air and Urban Landscapes Hub (CAUL)"
Cathy Oke, Knowledge Broker, Clean Air and Urban Landscapes Hub presented an overview of her group as part of the SMART Seminar Series on 24 August 2016.
For more information, visit the event page at: http://smart.uow.edu.au/events/UOW219527.html
The presentation provides an overview on how TERN data infrastructure works. The presentation was part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond which was held on 9th of March 2016 in University of Queensland.
CoESRA: Platform for collaborative researchTERN Australia
The presentation provides an overview of CoESRA, a cloud-based platform to build, execute and share complex analysis and synthesis experiments. The infrastructure is offered as "Platform as a Service in virtual desktop. The presentation is part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond
Radar and optical remote sensing data evaluation and fusion; a case study for...rsmahabir
The recent increase in the availability of spaceborne radar in different wavelengths with multiple polarisations provides new opportunities for land surface analysis. This research effort explored how different radar data, and derived texture values, indepen- dently and in combination with optical imagery influence land cover/use classification accuracies for a study site in Washington, DC, USA. Two spaceborne radar images, Radarsat-2L-band and Palsar C-band quad-polarised radar, were registered with Aster optical data for this study. Traditional methods of classification were applied to various components and combinations of this data set, and overall and class-specific thematic accuracies obtained for comparison. The results for the two despeckled radar data sets were quite different, with Radarsat-2 obtaining an overall accuracy of 59% and Palsar 77%, while that of the optical Aster was 90%. Combining the original radar and a variance texture measure increased the accuracy of Radarsat-2 to 71% but that of Palsar only to 78%. One of the sensor fusions of optical and radar obtained an accuracy of 93%. For this location, radar by itself does not obtain classification accuracies as high as optical data, but fusion with optical imagery provides better overall thematic accuracy than the optical independently, and results in some useful improvements on a class-by-class basis. For those regions with high cloud cover, quad polarisation radar can independently provide viable results but it may be wavelength-dependent.
Department of Geography and Geoinformation Science Seminar, George Mason University, Falls Church, VA, September 2015.
Increasingly, GIS is part of the collaboration between computer scientists, information scientists, and domain scientists to solve complex scientific questions. Successfully addressing scientific problems, such as informing regional decision- and policy-making for coastal zone management and marine spatial planning, requires integrative and innovative approaches to analyzing, modeling, and developing extensive and diverse data sets. The current chaotic distribution of available data sets, lack of documentation about them, and lack of easy-to-use access tools and computer modeling and analysis codes are still major obstacles for scientists and educators alike. Contributing solutions to these problems is part of an emerging science agenda at Esri for a range of environmental, conservation, climate and ocean sciences that will be discussed. The talk will highlight some recent projects in progress, including a new global map of ecological land units, new tools to support multidimensional scientific data, continued work on an ocean basemap, and more.
RINPAS Data for Decisions - Big Data and Data CommunitiesHelen Thompson
The Research Innovation Network for Precision Agriculture systems held a workshop in Sydney from 31 May to 1 June 2016 where the focus was on Data for Decisions - Big Data and Data Communities. This presentation profiles research being undertaken by Federation University Australia's Centre for eResearch and Digital Innovation which includes knowledge management, spatial research and decision tools including for agriculture.
AusPlots field data collection with AusScribeTERN Australia
The presentation provides an overview of AuScribe, an Android-based ecology field survey App based on AusPLots Rangelands Survey Protocols Manual. The presentation is part of the Workshop on Approaches to Terrestrial Ecosystem Data Management : from collection to synthesis and beyond
TERN's Siddeswara Guru presents on the Australian Ecosystem Science Cloud, which will provide the ecosystem science community improved access to shared data, tools, platforms and computing resources.
USING E-INFRASTRUCTURES FOR BIODIVERSITY CONSERVATION - Module 3Gianpaolo Coro
An e-Infrastructure is a distributed network of service nodes, residing on multiple sites and managed by one or more organizations. e-Infrastructures allow scientists residing at distant places to collaborate. They offer a multiplicity of facilities as-a-service, supporting data sharing and usage at different levels of abstraction, e.g. data transfer, data harmonization, data processing workflows etc. e-Infrastructures are gaining an important place in the field of biodiversity conservation. Their computational capabilities help scientists to reuse models, obtain results in shorter time and share these results with other colleagues. They are also used to access several and heterogeneous biodiversity catalogues.
In this course, the D4Science e-Infrastructure will be used to conduct experiments in the field of biodiversity conservation. D4Science hosts models and contributions by several international organizations involved in the biodiversity conservation field. The course will give students an overview of the models, the practices and the methods that large international organizations like FAO and UNESCO apply by means of D4Science. At the same time, the course will introduce students to the basic concepts under e-Infrastructures, Virtual Research Environments, data sharing and experiments reproducibility.
An evaluation of Radarsat-2 individual and combined image dates for land use/...rsmahabir
Various land use/cover types exhibit seasonal characteristics which can be captured in remotely sensed imagery. This study examined how different seasons of Radarsat-2 data influence land use/cover classification accuracies for two study sites. Two dates of Radarsat-2 C-band quad-polarized images were obtained for Washington, D.C., USA and Wad Madani, Sudan. Spectral signatures were extracted and used with a maximum likelihood decision rule for classification and thematic accuracies were then determined. Both despeckled radar and derived texture measures were examined. Thematic accuracies for the two despeckled image dates were similar with a difference of 3% for Washington and 6% for Sudan. Merging the despeckled images for both seasons increased overall accuracy by 2% for Washington and 9% for Sudan. Further combining the original radar for both seasons with derived texture measures increased overall accuracies by 9% for Washington and 16% for Sudan for final overall accuracy values of 73% and 82%.
Gaps, needs and options–A design study for long-term greenhouse gas observati...ILRI
Poster prepared by V. Jorch, M. Acosta, J. Beck, A. Bombelli, C. Brümmer, K. Butterbach-Bahl, B. Fiedler, E. Grieco, J. Helmschrot, W. Hugo, T. Johannessen, A. Körtzinger, W. Kutsch, A. López-Ballesteros, L. Merbold, E. Salmon, M. Saunders and B. Scholes for the SEACRIFOG project.
Relative value of radar and optical data for land cover/use mapping: Peru exa...rsmahabir
This study determined using divergence measures the best indivi- dual and combinations of various numbers of bands for six land cover/use classes around the city of Arequipa, Peru. A 15 band data stack consisting of PALSAR L-band dual-polarised radar, Landsat optical data, as well as six variance texture measures extracted from the PALSAR images, was used in this study. Spectral signatures were obtained for each class for the diver- gence examination. The band having the highest separability was the Landsat visible red band followed by the two largest window PALSAR texture measures. The best three band combina- tion included three very different data types, Landsat visible red, near infrared and the PALSAR HH variance texture from a 17 × 17 pixel window. There was no need based upon the diver- gence values to use more than five bands for classification.
Better Hackathon 2020 ETHZ - Comparing Static And Dynamic Effects Of EarthquakesPRBETTER
As part of the final BETTER Hackathon, project partners prepared 4 hackathon exercises. ETHZ organised this exercise as the challenge promoter for the Geohazards thematic area. This open exercise featured the use of Binder and purposely provided cloud resources but could also be run locally through a Docker image and Docker Compose. The focus of this half-day exercise was to find a convenient way of exploitation of Co-seismic interferograms, by using developed BETTER pipelines. The idea was to produce geocoded maps combining automatically the important results to have a convenient visualisation that helps interpreting results.Participants were expected to be familiar with the Jupyter environment (Python 3) and the most common EO libraries (e.g. GDAL). The recorded part includes the introduction of the exercise in the context of the BETTER project.
Data-intensive science lives from data. More and more interdisciplinary projects are aligned to mutually gain access to their data, models and results. In order to achieving this, an umbrella project GLUES is established in the context of the “Sustainable Land Management” (LAMA) initiative funded by the German Federal Ministry of Education and Research (BMBF). The GLUES (Global Assessment of Land Use Dynamics, Greenhouse Gas Emissions and Ecosystem Services) project supports several different regional projects of the LAMA initiative: Within the framework of GLUES a Spatial Data Infrastructure (SDI) is implemented to facilitate publishing, sharing and maintenance of distributed global and regional scientific data sets as well as model results. The GLUES SDI supports several OGC webservices like the Catalog Service Web (CSW) which enables it to harvest data from varying regional projects.
One of these regional projects is SuMaRiO (Sustainable Management of River Oases along the Tarim River) which aims to support oasis management along the Tarim River (PR China) under conditions of climatic and societal changes. SuMaRiO itself is an interdisciplinary and spatially distributed project. Working groups from twelve German institutes and universities are collecting data and driving their research in disciplines like Hydrology, Remote Sensing, and Agricultural Sciences among others. Each working group is dependent on the results of another working group. Due to the spatial distribution of participating institutes the data distribution is solved by using the eSciDoc infrastructure at the German Research Centre for Geosciences (GFZ). Further, the metadata based data exchange platform PanMetaDocs will be used by participants collaborative. PanMetaDocs supports an OAI-PMH interface which enables an Open Source metadata portal like GeoNetwork to harvest the information. The data added in PanMetaDocs can be labeled with a DOI (Digital Object Identifier) to publish the data and to harvest this information subsequently by the GLUES SDI. Our contribution will show the architecture of this new established SuMaRiO infrastructure node in a superordinate network of the GLUES infrastructure.
"Clean Air and Urban Landscapes Hub (CAUL)"
Cathy Oke, Knowledge Broker, Clean Air and Urban Landscapes Hub presented an overview of her group as part of the SMART Seminar Series on 24 August 2016.
For more information, visit the event page at: http://smart.uow.edu.au/events/UOW219527.html
SDAL addresses social science in new ways that will transform how we understand the world. Among our goals: creating smart and resilient cities, combatting homelessness, understanding the spread of disease and developing effective public health responses, identifying innovation drivers, and meeting the demand for educated graduates in the field.
This deck of slides outlines the key aspects of the Open Data Readiness Assessment or ODRA and was presented in the consultative workshop on Rwanda Open Data Policy organized by the Ministry of Youth & ICT (GoR) and the World Bank.
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
Centre for eResearch and Digital Innovation - Research OverviewHelen Thompson
The Centre for eResearch and Digital Innovation (CeRDI) is a Federation University Australia (FedUni) Centre focused on:
• The application of information communications technology (ICT) and the development of innovative, world class knowledge management systems;
• Significantly advancing the digital literacy and knowledge management capabilities and capacity of partner organisations;
• Fostering, development and implementation of eResearch within academia and industry; and
• Measuring the impact of eResearch and digital innovation through longitudinal research.
CeRDI is also gaining national and international recognition in innovative spatial information systems.
This presentation showcases some of the diverse range of projects are that being supported through the team at CeRDI.
Projects are at various stages of their evolution with many sharing common goals to inform ‘big picture’ understanding and enhance decision making, create greater efficiencies in communication, increase the quality of information and support policy formulation and evaluation.
Latin America Researc Visit to FedUni Centre for eResearch and Digital Innova...Helen Thompson
Under the Australia Awards Fellowship (AAF), the Victorian State Government’s Department of Economic Development, Jobs, Transport and Resources Division of International Education has organised and sponsored a delegation of Latin-American Universities’ senior research administrators and researchers to visit Victorian universities in September.
FedUni hosted the delegation on Wednesday 23 September at Mt Helen
Risk management and the release of microdata: Sonia Whiteley
Effective management of microdata acknowledges that there is no ‘single fix’ that will adequately address all of the potential risks associated with releasing unit record information. It is also the case that different methods used to maximise data security have different risks and all data confidentialisation methods limit the usefulness of the underlying data [1]. We have developed an approach to data management and release that takes a
balanced view of potential re-identification or disclosure threats and prioritises data utility while actively addressing more probable risk scenarios.
This balanced approach to risk management will be discussed in relation to the Australian Early Development Census (AEDC) which is conducted every three years to measure children’s development as then enter their first year of formal schooling. AEDC data is collected through a teacher-completed, online checklist that measures five areas of early childhood development. Issues relating to risk and the research community, data management risk mitigation strategies, microdata access modalities and the implications of sharing the risk between academics and the data custodians will be explored.
www.its.leeds.ac.uk/about/events/seminar-series
The economic and environmental dimensions of transport have been the subject of extensive academic research and have had a strong influence on transport policy and practice around the world. This is in stark contrast to the social dimension, which in general has been less widely researched, less well defined and generally much less influential in policy circles. However, there is now increased recognition by policymakers that new transport infrastructures can potentially have significant social and distributional impacts (SDIs) beyond those that are usually captured by traditional project appraisal methods. Currently, the methods for capturing these SDIs are under explored and the guidance provided through WebTAG analysis is as yet largely untested.
It is in this context that we were asked by Welsh Government to conduct a social and distributional analysis of a new section of the A465, studying the area surrounding the road both during its construction and after. Our talk will outline the integration of desk based quantitative and field work based qualitative methodologies used for the study and the rationale for these, and also present our key findings. We will also outline some of the challenges we faced in undertaking the analysis, and in turn reflect on some of the barriers to embedding effective SDI appraisals into policy practice. We will also reflect on the appropriateness of the WebTAG guidance for practice, and suggest ways in which these could be improved.
Thisis an introduction to the Social Research Group, a division of Market Solutions Pty. Ltd. - a social and market research company located in Melbourne Victoria. It provides an introduction to the Social Research Group and showcases some recent projects.
Why we care about research data? Why we share?Richard Ferrers
An introduction to why ANDS cares about research data. ANDS, the Australian National Data Service, encourages researchers to share data. This presentation explains why.
Presentation by Dr Steve McEachern, ADA, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Hugo Leroux and Liming Zhu, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Kelly Hart, ONDC in PM&C, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Prof Chris Rowe, ADNet, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Investigator-initiated clinical trials: a community perspectiveARDC
Presentation by Miranda Cumpston, ACTA, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Dr Merran Smith, PHRN, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
International perspective for sharing publicly funded medical research dataARDC
Presentation by Olivier Salvado, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Prof Lisa Askie, ANZCTR, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Dr Davina Ghersi, NHMRC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Dr Adrian Burton, ARDC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
FAIR for the future: embracing all things dataARDC
FAIR for the future: embracing all things data - Natasha Simons, Keith Russell and Liz Stokes, presented at Taylor & Francis Scholarly Summits in Sydney 11 Feb 2019 and Melbourne 14 Feb 2019.
How to make your data count webinar, 26 Nov 2018ARDC
Slides from the 26 Nov Make your data count webinar. The research community has long grappled with the problem of assessing and tracking the results of scholarship. Research data is no exception. The Make Data Count (MDC) project (https://makedatacount.org/), funded by the Sloan Foundation, has delivered a data usage metric standard (Code of Practice) and a workflow for the retrieval and display of standardised usage and citation metrics in your repository interface.
Listen to this webinar to learn more about the Make Data Count project and the 5 steps you can take to make the data in your repository count. Hear from MDC project team members who have already implemented MDC in the dash (https://dash.ucop.edu) and DataOne (https://search.dataone.org/data) repositories. Learn from their experience, see the results.
Our international speaker line-up includes Daniella Lowenberg (California Digital Library) and Patricia Cruse (DataCite).
Recording available: https://youtu.be/Lkysz0Mc7fo
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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20. AURIN empowers research into
the built environment
~7,300 TOTAL USERS
~84% ACADEMIC (.EDU) USERS
~16% GOVERNMENT (.GOV) USERS
ACADEMIC SECTOR:
~71% STUDENTS
~29% STAFF
22. DATA:
• Portal brings ~2000 datasets together from open and closed
sources into single geographic framework. Most are
nationwide coverage
• Data from over 70 disparate data providers, facilitating
intersectional research
• Data can be imported and exported, in spatial and non-spatial
formats, to allow integration into researcher’s existing
analytical ecosystem
23. ANALYTICS
• Over 100 analytical tools, ranging in complexity from basic
graphing and visualisation, to spatial statistical routines,
implemented in R, but using a GUI for non expert users
• Tailor-made analytical routines e.g. Walkability tools
• Additional decision support tools external to the AURIN Portal
around land use planning e.g. AURIN’s Online What-If?
• Licensed access to PSMA Geocoder
24. The true value of AURIN:
• Single port of call for urban researchers to access
authoritative datasets ready for analysis
• Completely eliminates need for researchers to arrange data
licensing – saves time and money
• Free access enables small scale research projects especially
in non-STEM and non-biological sciences, and especially for
PhD students
28. Relationship between Transit Oriented Development and
Residential Property Values
• Eileen Sim (Masters Student) and collaborators showed
that proximity to metropolitan train station had positive
impact on residential property values
• Challenged assumptions which fuel opposition to
development, allow for evidence based urban policy
• AURIN datasets available for free through the portal were
fundamental to the work
29. Relationship between Transit Oriented Development and
Residential Property Values
“It would have been close to impossible for me to
conduct the research as a Masters paper. It may have
been possible if the researcher was an experienced
researcher and had extensive contact with APM to gain
access to that data but I was really just an amateur
and purchasing it was not an option.”
31. Differences in residential locational choices of male and
female same-sex couples in Melbourne and Sydney
32. Differences in residential locational choices of male and
female same-sex couples in Melbourne and Sydney
• Researchers showed that male and female same-sex
couples were segregated from each other in closely linked
neighbourhoods
• Regression modeling challenged theories about the role of
the Creative Class in driving LGBT aggregation
• AURIN datasets, and spatial statistical analytical routines in
the AURIN portal, were central to the analysis
33. Differences in residential locational choices of male and
female same-sex couples in Melbourne and Sydney
“The breadth of data available in AURIN, combined
with other sources at the same level of geography
easily allows the kind of multivariate regression
methods central to answering these questions.
Especially a rich property value dataset at such a fine
spatial resolution”
35. Development of City of Darebin Walking Strategy
Developing a Walking Strategy for Darebin
Signed the International
Charter for Walking in 2008
Background and benchmarking
Development of a Principal
Pedestrian Network
Social indicators analysis and
AURIN portal
Walking assessments and
pedestrian Level of Service
(LoS)
Prioritisation
36. Development of City of Darebin Walking Strategy
• Local Government in Victoria (City of Darebin) developed a
strategy to both improve the walkability of their city and
increase the rates of walking amongst residents and visitors
• Integrated approach, incorporating socio-economic and
health data, infrastructure and asset information and
economic analysis
• AURIN datasets and analytical tools were central to shaping
the policy
37. Development of City of Darebin Walking Strategy
“What I like about AURIN is that it’s one spot where I
can access data, analyse it and display my results. It’s a
one-size-fits-all tool.”
40. Investigating changes to the Live Music Scene in Melbourne
and Sydney
• Dr Sarah Taylor investigated spatial shifts in the live music
scene in Melbourne and Sydney over the last two decades
• Illustrated that different aggregation processes were driving
the viability of venues in the two cities
• AURIN data around gaming and liquor venues in Melbourne
ensured that the analyses could occur
41. Investigating changes to the Live Music Scene in Melbourne
and Sydney
“The best part about AURIN was knowing that
trustworthy official data was readily accessible…It
switched the focus to getting on with research…I really
noticed the difference for equivalent NSW data that
was not available on AURIN: I did eventually obtain the
data but the process was long and not conducive to
efficient research.”
44. Preventing non-urgent hospital ED admissions
• Researchers from the University of Melbourne investigated
factors which cause parents to bring young children to EDs
for non-urgent presentations
• Showed that neighbourhood characteristics (walkability,
perceived safety), when intersected with GP or clinic
characteristics, strongly predicted results.
• AURIN was a research partner, providing expertise, data
and analytics to generate and visualise outcomes
45. Preventing non-urgent hospital ED admissions
As a direct outcome of this research, AURIN has been
able to secure access to the National Health Services
Directory service location data (individual points) for
use through the AURIN portal for academic and
government researchers
48. Integrating inter-disciplinary data into an online health
analytical framework
• Eastern Melbourne Health Region developed an open
online resource with health and well-being information for
evidence based policy development and resource allocation
• Integrated with a range of resources, driven by idea of open
collaboration
• AURIN provides access to data to the well via our open API
49. Integrating inter-disciplinary data into an online health
analytical framework
Work has begun to feed more datasets into The Well
for clinicians, epidemiologists and public health experts
to use – including those around gambling, liquor
consumption, land use and societal violence
52. The spatial characteristics of housing affordability
and stress in Sydney
• A/Prof Pettit and collaborators from UNSW investigated the
spatial distribution of housing stress in Sydney
• Illustrated that the standard indicators used (incl. those
released today!) have substantial methodological
limitations
• Data and visualisation capabilities of the AURIN portal were
used in conjunction with desktop functions
55. State of Environment Report – The Built Environment
• State of Environment Report is generated every 5 years by
the Department of Environment and Energy, providing an
appraisal of environmental issues and challenges
• The report is structured along a number of themes, one of
which is the Built Environment, highlighting challenges
associated with urbanisation and environmental tensions
• AURIN datasets were central to underpinning the
importance of built form on accessibility in health
outcomes
57. Next Steps (Data)
• Incorporation of historical and current property sales at
point level (again!)
• Direct feed to the Atlas of Living Australia point datasets to
incorporate biological science data – allows urban ecology
analysis
• Developing new relationships with Australian Data
Archives, Parliamentary library to incorporate large scale
historical cultural datasets
Editor's Notes
AURIN is an “Infrastructure Network” built to support researchers across Australia by providing access better data, with analytical tools supporting evidence-based policy and decision-making
Free and open AURINMap with national data layers from various data partners covering subjects such as population and demographics, health and wellbeing, socio-economic indices, vulnerability indicators and access to services.
Data is generously shared by AURIN’s data partners and visualised by AURIN Data team.
Download data, visualise with various base maps, embed maps in your website and explore other national data resources NationalMap, AREMI and NEII Viewer.
The AURIN Portal contains a rich range of data and analytical tools.
Over 1200 datasets from more than 80 data providers can be retrieved through the AURIN Portal and over 100 analytical and visualisation tools provide extensive scope for spatialising, integrating, manipulating and mapping diverse data from across the full gamut of research disciplines.
The AURIN Portal is accessible to everyone with an Australian Access Federation (AAF) login, which means everyone with a .edu.au account and staff from other public research institutions such as the CSIRO.
DATA DISCOVERY
Browse the growing list of all datasets accessible through the AURIN Portal.
Over 1,600 datasets from hundreds of sources covering a wide range of disciplines.
With AURIN’s unique federated system, the data stays with the data custodian, allowing researchers to browse the data before accessing or downloading custom datasets.
DECISION SUPPORT
AURIN’s portfolio of decision-support products includes tools to enable better evidence-based policy development and decision-making and more sophisticated analysis.
Using cutting-edge simulation and scenario-planning techniques, these tools provide the opportunity to explore new ideas for urban growth and planning and enable a new level of creativity to be brought to bear on the planning process.
Tools were funded and developed in partnership with members of the AURIN Network.
Free and open AURINMap with national data layers from various data partners covering subjects such as population and demographics, health and wellbeing, socio-economic indices, vulnerability indicators and access to services.
Data is generously shared by AURIN’s data partners and visualised by AURIN Data team.
Download data, visualise with various base maps, embed maps in your website and explore other national data resources NationalMap, AREMI and NEII Viewer.
The AURIN Portal contains a rich range of data and analytical tools.
Over 1200 datasets from more than 80 data providers can be retrieved through the AURIN Portal and over 100 analytical and visualisation tools provide extensive scope for spatialising, integrating, manipulating and mapping diverse data from across the full gamut of research disciplines.
The AURIN Portal is accessible to everyone with an Australian Access Federation (AAF) login, which means everyone with a .edu.au account and staff from other public research institutions such as the CSIRO.
DATA DISCOVERY
Browse the growing list of all datasets accessible through the AURIN Portal.
Over 1,600 datasets from hundreds of sources covering a wide range of disciplines.
With AURIN’s unique federated system, the data stays with the data custodian, allowing researchers to browse the data before accessing or downloading custom datasets.
DECISION SUPPORT
AURIN’s portfolio of decision-support products includes tools to enable better evidence-based policy development and decision-making and more sophisticated analysis.
Using cutting-edge simulation and scenario-planning techniques, these tools provide the opportunity to explore new ideas for urban growth and planning and enable a new level of creativity to be brought to bear on the planning process.
Tools were funded and developed in partnership with members of the AURIN Network.
Free and open AURINMap with national data layers from various data partners covering subjects such as population and demographics, health and wellbeing, socio-economic indices, vulnerability indicators and access to services.
Data is generously shared by AURIN’s data partners and visualised by AURIN Data team.
Download data, visualise with various base maps, embed maps in your website and explore other national data resources NationalMap, AREMI and NEII Viewer.
The AURIN Portal contains a rich range of data and analytical tools.
Over 1200 datasets from more than 80 data providers can be retrieved through the AURIN Portal and over 100 analytical and visualisation tools provide extensive scope for spatialising, integrating, manipulating and mapping diverse data from across the full gamut of research disciplines.
The AURIN Portal is accessible to everyone with an Australian Access Federation (AAF) login, which means everyone with a .edu.au account and staff from other public research institutions such as the CSIRO.
DATA DISCOVERY
Browse the growing list of all datasets accessible through the AURIN Portal.
Over 1,600 datasets from hundreds of sources covering a wide range of disciplines.
With AURIN’s unique federated system, the data stays with the data custodian, allowing researchers to browse the data before accessing or downloading custom datasets.
DECISION SUPPORT
AURIN’s portfolio of decision-support products includes tools to enable better evidence-based policy development and decision-making and more sophisticated analysis.
Using cutting-edge simulation and scenario-planning techniques, these tools provide the opportunity to explore new ideas for urban growth and planning and enable a new level of creativity to be brought to bear on the planning process.
Tools were funded and developed in partnership with members of the AURIN Network.
Free and open AURINMap with national data layers from various data partners covering subjects such as population and demographics, health and wellbeing, socio-economic indices, vulnerability indicators and access to services.
Data is generously shared by AURIN’s data partners and visualised by AURIN Data team.
Download data, visualise with various base maps, embed maps in your website and explore other national data resources NationalMap, AREMI and NEII Viewer.
The AURIN Portal contains a rich range of data and analytical tools.
Over 1200 datasets from more than 80 data providers can be retrieved through the AURIN Portal and over 100 analytical and visualisation tools provide extensive scope for spatialising, integrating, manipulating and mapping diverse data from across the full gamut of research disciplines.
The AURIN Portal is accessible to everyone with an Australian Access Federation (AAF) login, which means everyone with a .edu.au account and staff from other public research institutions such as the CSIRO.
DATA DISCOVERY
Browse the growing list of all datasets accessible through the AURIN Portal.
Over 1,600 datasets from hundreds of sources covering a wide range of disciplines.
With AURIN’s unique federated system, the data stays with the data custodian, allowing researchers to browse the data before accessing or downloading custom datasets.
DECISION SUPPORT
AURIN’s portfolio of decision-support products includes tools to enable better evidence-based policy development and decision-making and more sophisticated analysis.
Using cutting-edge simulation and scenario-planning techniques, these tools provide the opportunity to explore new ideas for urban growth and planning and enable a new level of creativity to be brought to bear on the planning process.
Tools were funded and developed in partnership with members of the AURIN Network.
Add in State of Built Environment – Report
City of darebin
The well
State of environment report
City of darebin
The well
State of environment report
City of darebin
The well
State of environment report
City of darebin
The well
State of environment report