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3 Job description in a nutshell… make “it” happen

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The Australian Urban (e-)Research Infrastructure Professor Richard O. Sinnott eResearch Director, University of Melbourne 5 th June Viele Gruezi von Martin! 2 Me MSc Software Engineering CEO Own Company (real time systems/telecoms) Post-doc GMD Fokus Berlin Director, eResearch University of Melbourne PhD Distributed Systems Lecturer BSc Theoretical Physics Technical Director National e- Science Centre, University of Glasgow Many PhD/MSc supervised / being supervised (200+ publications) Technical Director, Bioinformatics Research Centre University of Glasgow 3 Job description in a nutshell make it happen 4 it- = e- Electronic Empowering (through research IT support) Enabling Exabytes Expensive!? Ethics Everywhere European? 2.718 It is not about the e- it is about the r- Exascale 5 e-Portfolio National e-Science Centre (I, II, III) Dynamic Virtual Organisations for e-Science Education Biomedical Research Informatics Delivered by Grid Enabled Services GridNet, GridNet-2 Grid Enabled Microarray Expression Profile Search Glasgow early adoption of Shibboleth Joint Data Standards Survey ESP-Grid HPC Compute cluster award // Sun industrial sponsorship OGC Collision OMII-Security Portlets // OMII-RAVE Integrating VOMS and PERMIS for Superior Grid Authorization NCeSS CESSDA PPP Pharming of Therapeutic RNA Grid Enabled Occupational Data Environment Towards an e-Infrastructure for e-Science Digital Repositories Grid enabled Biochemical Pathway Simulator Virtual Organisations for Trials and Epidemiological Studies A European e-Infrastructure for e-Science Repositories Modelling, Inference and Analysis for Biological Systems up to the Cellular Level Drug Discovery Portal Parliamentary Discourse Scots Words and Placenames Qvolution stress management survey system Advanced Grid Authorisation through Semantic Technologies ShinTau AlstromUK VRE Grid-enabled Virtual Safe Settings Clinical Streaming Transcription Software Enhancing Repositories for Language and Literature Researchers (ENROLLER) Proxy Credential Auditing Infrastructure for the NGS Scottish Bioinformatics Research Network (SBRN) Generation Scotland Scottish Family Health Study Breast Cancer Tissue Biobank Data Management through e-Social Science (DAMES) Meeting the Design Challenges of nanoCMOS Electronics (nanoCMOS) EU FW7 AvertIT EU FW7 EuroDSD NeSC Research Platform (NRP) NeSC Information Network (NIN) ESF Network for Study of Adrenal Tumors Scottish Health Informatics Platform for Research (SHIP) National E-Infrastructure for Social Simulation (NeISS) EU R4SME Diagnosis of Parkinsons Disease (DiPAR) EU European Platform for Study of Wolfram, Alstrom, Bardet Biedl Multicenter prospective study of biochemical profiles of monoamine-producing tumors (PMT Study) European Society of Hypertension Study on Pheo/PGL International DSD Automating River Pollution Detection (CAPIM) EU FW7 European Network for Study of Adrenal Tumors Cancer Research Platform VicHealth Health Indicators and Spatial Objective Data Envision Greening the Greyfields National Spinal Injury Research Platform Australian Urban Research Infrastructure Network (AURIN) DSDNetwork Australasia Epilepsy e-Learning portal Type-1 Diabetes study of environmental factors on onset of T1D (Adelaide/NHMRC) Endocrine Genomics Virtual Laboratory (endoVL) Australian Diabetes Data Network AustraLian Ovarian Cancer Assortment Trial (ALLOCATE) Victoria Comprehensive Cancer Centre Research Data Management System Completed On-Going 6 Australian Urban Research Infrastructure Network (AURIN) in a Nutshell EIF SuperScience $20 million projectUniversity of Melbourne are lead agent Four/five year funding (until June 2015) Work started (with one e-Enabler June 2011) It took close to a year to complete the final project/business plan! Establishing an enabling e-Infrastructure for Urban and Built Environment Distributed, (completely!) heterogeneous datasets Data interrogation services Security (unit level data, health data, commercial data!) Online analysis tools Collaboration!!! The initiative is not to fund research activity per se, nor applications beyond those required to test the e-Infrastructure 7 AURIN Context Urban and build environment is extremely broad health, transport, future population, liveability, crime, planning, design, Much research depends on access to and usage of data There is LOTS (and LOTS) of data of relevance to urban research!!! Completely heterogeneous, e.g. geospatial, statistical, temporal, survey, Data is more often than not silod Requires tools to find, interrogate, analyze and visualize data and enforce good research methodologies Consolidate tools and best practice/community know-how! Allow researchers to share results, interact and collaborate No single expert! Allow data providers to keep control of their data and its use Authentication and authorisation (and auditing/accounting) 8 Urban Research Community The Urban Research Gateway for Australia: Development of a Federated, Multi- disciplinary Research e-Infrastructure Data Cloud Energy and water consumption Metropolitan and regional housing market data City Logistics: Data on freight flows and dynamics Urban transportSocial data and indicators Public Private Academic Archived Current Ephemeral Multi-disciplinary Simulated future 9 The AURIN Lenses 1.Population and demographic futures and benchmarked social indicators 2. Economic activity and urban labour markets 3. Urban health, well-being and quality of life 4. Urban housing 5. Urban transport 6. Energy and water supply and consumption 7. City logistics 8. Urban vulnerability and risks 9. Urban governance, policy and management 10. Innovative urban design Outsourced Projects 10 AURIN Architectural Components 11 Data, data, data Data is typically domain specific e.g. just looking at health ICD9, ICD10, Read, SNOMED-CT, HL7, health survey measures, indicators, Lack of agreed ontology (or set of ontologies) across the space Spectrum of protocols required Common denominator across all data sets is notion of location (geography) But MANY flavours of geo- classification and they change over time! Need tools to cope with this! Metadata is key!!! 12 Metadata Documentation 13 Metadata Documentation ctd 14 Data Discovery (Targeted Searching) 15 Data Discovery (Geospatial Searching) 16 Advanced (Targeted) Tooling Targeted tools Walkability index What If? land-use allocation tool 17 Analytical and Visualisation Capabilities Generic tools wrapped as workflows Object Modelling System (*v3) Java annotations Statistical tools Linear regression, Anova, Windsor, Expect to have >100s different tools available Run on the Cloud (R-server) Benchmarking on Australian (NeCTAR) Cloud and Amazon Visualisation Choropleth maps, Centroids, Point Plots, Point paths Balance of features vs complexity for end users Experts vs Novices 18 AURIN Demonstration (typical usage) 19 (and introducing a note of caution) all of us being watched, all the time, and that data being stored forever. This is what a surveillance state looks like, and it's efficient beyond the wildest dreams of George Orwell. Bruce Schneier AURIN Demonstration II 20 Conclusions Many challenges remaining Collaboration Breaking the lone urban researcher! The processes of dealing with agencies There is no silver bullet with lawyers! 3D visualisation Work starting in this area now The continued growth in data Beyond the lifetime of any contract Value add for providers!? Single simulation or user data request can generate LOTS of data Data store challenges, delivery to browser challenges Users can also still break system Give me all housing data for Australia Sister projects important 21 Australian e-Infrastructure Numerous major national eResearch initiatives $47m National eResearch Collaboration Tools and Resources (NeCTAR Lead by University of Melbourne Four key strands National Servers Program Research Cloud Program University of Melbourne Lead eResearch Tools Program Projects funded Virtual Laboratories Program Several projects funded Astro, genomics, humanities, climate, nano-, endocrine genomics 22 Australian e-Infrastructure Research Data Storage Infrastructure (RDSI) $50m lead by University of Queensland Federation of data storage nodes across Australia Victorian Node being established Lead by University Melbourne and Monash Will establish 100 Petabyte data storage systems across Australia Ramping up now 23 Questions