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1 e Research Presented by: Mohsen Kahani Computer Engineering Department Ferdowsi University of Mashhad http://profsite.um.ac.ir/~kahani هفته پژوهش – آذر ٨٦
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2 What is eResearch? u Different Meaning u Research thru Internet (aka. Search) u Research as in OR (online survey) u Process research proposal electronially (eg. a web-based application) u A Distributed computing environment for doing computationally intensive researches
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3 Searching the web u Search engines u How do they work? 1.Gathering information from the web (offline) 2.Indexing documents 3.Responding to the queryies 4.Rendering the findings u Different Search engines, different startegies u General purpose vs. special purpose Search engines
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4 The Invisible Web u What is it? Part of the web that can’t be indexed by search engines u The invisible web is now (mostly) visible Search engines are now more powerful -Dynamic sites are indexed -Use hints from sites (eg. robots.txt) Databases have opened their doors for search engines -Eg. Sciendirect, IEEEexplore, ACM, … Search engine have special tools -Eg. Google scholar, Google groups, Google Maps, …
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5 Academic Search u CiteSeer u Scopus u Google Scholar
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6 Citeseer http://citeseer.ist.psu.edu/
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7 Scopus
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8 Google Scholar
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9 Special Purpose Search Engines 1. Gathering Special Resources Subject based search engines Audio/Video search engines 3D search engines 2. Using Special charatristics Using thesaurus or ontology Natural Language Processing Capability Special Classification 3. Different Rendering u Depends on their Goals and charatristics
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10 Index of Topic Specific Search Engine
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11 Topic Specific Search Engine
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12 Topic Specific Search Engine
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13 Topic Specific Search Engine
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14 Image Search Engine
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15 Image Search Engine
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16 Audio/Video Search Engine
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17 Audio/Video Search Engine
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18 Audio Search Engine
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19 3D Search Engine http://shape.cs.princeton.edu/search.html
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20 3D Search Engine http://3d.csie.ntu.edu.tw/~dynamic/cgi-bin/DatabaseII_v1.8/index.html
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21 Thing Finder
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22 Star Tree
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23 Natural Language Search
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24 Brain Boost
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25 Natural Language Search
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26 Meta Search Engines
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27 Meta Search Engines
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28 Meta Search Engines
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29 Reading Search Result
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30 Graphical Representation
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31 Graphical Representation
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32 Online Survey u Academic resources about online survey methods and techniques Exploring Online Research Methods Incorporating TRI-ORM -http://www.geog.le.ac.uk/orm/ WebSM – Web Survey Methodology -http://www.websm.org/ Questionnaire Design and Surveys Sampling -http://home.ubalt.edu/ntsbarsh/stat-data/Surveys.htm u Open source/Commercial online survey software CHSM Survey Builder -http://chnm.gmu.edu/tools/surveys/ ASSET -http://technology.shu.edu/page/ASSET!OpenDocument LimeSurvey -http://www.limesurvey.org/http://www.limesurvey.org/ Zoomerang -http://info.zoomerang.com/ SurveyMonkey -http://www.surveymonkey.com/
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33 TRI-ORM u An online training package designed to support researchers using online research methods online surveys, virtual synchronous interviews and asynchronous interviews. u The website provides: a self-learning online resource that covers both the theoretical and practical aspects of online research access to a range of case studies and resource links discussion of the ethical issues of online research.
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34 TRI-ORM http://www.geog.le.ac.uk/orm/
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35 Research Proposal Management u eResearch is a Web-based system for submission, workflow, approval and management of research information. u The system will assist the Organizer in standardizing the method in which human research studies are submitted, processed and reviewed.
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36 What is eIRB? u The IRB’s role will remain the same, the method in which they accept and manage protocol applications will change. u The system will be the tool used by the IRB to: Collect study information Schedule study reviews and studies to IRB meetings Communicate study requests and status to the study team u The eIRB module consists of 5 projects: Study Continuing Review Amendment Reportable Events Termination u The study project will be the first project of the eIRB module to be made available to the research community. eIRB is the first module of the eResearch project and will be the vehicle for the IRB to streamline their business processes for handling NEW research studies with human subjects.
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37 Roles in the IRB Review Process
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38 eIRB Study Review Process Reviewers verify relevant sections of the study, request and obtain additional information from the study team, and issue their approval through the system Depending on study answers, system automatically routes study to non - IRB Reviewers: EHSO Biosafety EHSO Radiation Safety SOMCOI Pre-IRB Reviewers Department or Division Head Faculty Advisor Winship Cancer Institute Human Embryonic Stem Cell Once Pre-IRB reviewers have given their approvals, the study is received by the IRB Staff for processing IRB staff manages the review process using eResearch Request further information Determine review method Assign reviewers Schedule study for IRB meetings Accept non-IRB approvals IRB Committee members conduct reviews IRB Committee decisions and minutes are recorded IRB Staff prepare letters with IRB motions Study team receives decisions Schedule study for IRB meetings With approved studies Study Team can: Conduct research Report events Submit Amendments Submit Continuing Review Request Terminations PI/Study Coordinator submits eIRB study application 1. Create Study 2. Route Study 3. Review Study 4. Accept Study 5. Process Study 7. Approved Study 6. Finalize Decision
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39 Platform for Research Collaboration u Many sophisticated scientific discovery laboratories or the installation of sensor networks would produce a large amount of data. u These data have to be saved for future use and made available for collaborative use by researchers. u There is a need to develop a framework which can deal with storing such data volumes. u This framework should also handle disparate data sources tightly integrated with the users’ applications and large data streams arising from instruments and sensors. u A framework for servicing large dynamic data sets over a national grid for eResearch (in Australia).
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40 eResearch Infrastructure Information Computing Communications GRID
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41 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Grid Services for eResearch User Communities Web Services Advanced Communications Services Collaborative Visualisation Distributed Computing Information Access Cooperative Environments On-Line Instruments Physics Bio- informatics Environment Astronomy
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42 Australian Partnership for Advanced Computing Providing the Advanced Computing and Grid Infrastructure for eResearch http://www.apac.edu.au
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43 Darwin USA APAC Partners and Backbone Networks GrangeNet Backbone AARNet Links Internet2 Canarie Geant APAN APAC National Facility Brisbane QPSF Canberra ANU Melbourne VPAC CSIRO Sydney ac3 Perth IVEC CSIRO Adelaide SAPAC Hobart TPAC CSIRO
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44 ACIGA Data Grid MDSS Environmental Monitors ACIGA + APAC resources Rsync/LDR GridFTP Australian Consortium for Interferometric Gravitational Astronomy
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45 Grange Net A dynamic data storage framework for building very large-scale and heterogenous data storages over AARNet3 or Grangenet
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46 Grange Net An overview of the dynamic data grid framework in context with digital data sources, applications, and network.
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47 National Data Architecture
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48 Digital Curation & Preservation Preservation & curation repositories & access mechanisms, archival skills & infrastructure Researcher Requires: Perpetual access, Curation, Training, Marketing Supplier must ensure: Security - Access, Authorization, Authentication by definition this is which requires Commercial Publishing Contribution to & use of published resources requiring payment by readers Affordable licenses for researcher access & discovery mechanisms Open Access Publishing Contribution to & use of published resources where content is regarded as ‘free’ Serviceable infrastructure for publication and access Access to eContent Tools & applications Software that allows manipulation, modeling and analysis of data Access to models, source code and open standards Data Transfer Science employing transfer and sharing of large volumes of data Access to remotely held large datasets & high performance computing via affordable high bandwidth Primary Data Sharing Making research data available to other researchers Accessible repositories & quick reference eScience Components of eResearch Active management of databases including promotion of effective and widespread use of the datasets for their scientific & scholarly useful life
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49 Questions ? Thanks for your attention
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