1 e research presented by: mohsen kahani computer engineering department ferdowsi university of...

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eResearchPresented by:

Mohsen Kahani Computer Engineering DepartmentFerdowsi University of Mashhad

http://profsite.um.ac.ir/~kahani٨٦هفته پژوهش – آذر

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What is eResearch?

Different Meaning Research thru Internet (aka. Search) Research as in OR (online survey) Process research proposal electronially (eg.

a web-based application) A Distributed computing environment for

doing computationally intensive researches

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Searching the web

Search engines How do they work?

1. Gathering information from the web (offline)

2. Indexing documents

3. Responding to the queryies

4. Rendering the findings

Different Search engines, different startegies General purpose vs. special purpose Search

engines

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The Invisible Web

What is it?• Part of the web that can’t be indexed by search engines

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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Academic Search

CiteSeer Scopus Google Scholar

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Citeseerhttp://citeseer.ist.psu.edu/

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Scopus

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Google Scholar

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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

Depends on their Goals and charatristics

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Index of Topic Specific Search Engine

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Topic Specific Search Engine

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Topic Specific Search Engine

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Topic Specific Search Engine

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Image Search Engine

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Image Search Engine

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Audio/Video Search Engine

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Audio/Video Search Engine

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Audio Search Engine

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3D Search Enginehttp://shape.cs.princeton.edu/search.html

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3D Search Enginehttp://3d.csie.ntu.edu.tw/~dynamic/cgi-bin/DatabaseII_v1.8/

index.html

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Thing Finder

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Star Tree

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Natural Language Search

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Brain Boost

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Natural Language Search

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Meta Search Engines

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Meta Search Engines

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Meta Search Engines

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Reading Search Result

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Graphical Representation

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Graphical Representation

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Online Survey

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

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/

• Zoomerang - http://info.zoomerang.com/

• SurveyMonkey - http://www.surveymonkey.com/

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TRI-ORM

An online training package designed to support researchers using online research methods

• online surveys,

• virtual synchronous interviews

• and asynchronous interviews.

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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TRI-ORMhttp://www.geog.le.ac.uk/

orm/

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Research Proposal Management

eResearch is a Web-based system for submission, workflow, approval and management of research information.

The system will assist the Organizer in standardizing the method in which human research studies are submitted, processed and reviewed.

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What is eIRB?

The IRB’s role will remain the same, the method in which they accept and manage protocol applications will change.

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

The eIRB module consists of 5 projects: • Study• Continuing Review• Amendment• Reportable Events• Termination

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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Roles in the IRB Review Process

AncilliaryCommittees

IRB Office

Approvers

IRBCommittee

Researchers

Study Staff

Primary

Investigator

Study

Coordinator

Co-Investigator

Dept/Div Approver

Faculty Advisor

WinshipCancer

Instistute

EHSO Biosafety

Human

Embryonic Stem Cell

EHSO Radiation

Safety

IRB Administrator

IRB Director

Committee Chair

Committee

Member

Designated Reviewer

Read

ReadCreate

Edit

ReadCreate

EditSubmit

ReadCreate

Edit

ReadReturn to Study Team

Approve

ReadReturn to Study TeamAssign to Committee

Assign ReviewerPrepare Letter

Fwd Letter for ApprovalEdit Letter

Merge ConsentEdit Minutes

ReadReview

ApproveSend Letter to PI

Conflict of Interest

ReadReturn to Study Team

Approve

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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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Platform for Research Collaboration

Many sophisticated scientific discovery laboratories or the installation of sensor networks would produce a large amount of data.

These data have to be saved for future use and made available for collaborative use by researchers.

There is a need to develop a framework which can deal with storing such data volumes.

This framework should also handle disparate data sources tightly integrated with the users’ applications and large data streams arising from instruments and sensors.

A framework for servicing large dynamic data sets over a national grid for eResearch (in Australia).

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eResearch Infrastructure

Information

Computing Communications

GRID

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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Grid Services for eResearch

User Communities

Web ServicesAdvanced Communications Services

CollaborativeVisualisation

DistributedComputing

InformationAccess

CooperativeEnvironments

On-LineInstruments

Physics Bio-informatics

Environment Astronomy

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Australian Partnershipfor

Advanced Computing

Providing the

Advanced Computing and Grid Infrastructure

for eResearch

http://www.apac.edu.au

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Darwin

USA

APAC Partners and Backbone Networks

GrangeNet Backbone

AARNet Links

Internet2CanarieGeantAPAN

APACNational Facility

BrisbaneQPSF

CanberraANU

MelbourneVPACCSIRO

Sydneyac3

PerthIVEC

CSIRO AdelaideSAPAC

HobartTPACCSIRO

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ACIGA Data Grid

MDSS

Environmental Monitors

ACIGA + APAC resources

Rsync/LDRRsync/LDR

GridFTPGridFTP

Australian Consortium for Interferometric Gravitational Astronomy

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Grange Net

A dynamic data storage framework for building very large-scale and heterogenous data storages over AARNet3 or Grangenet

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Grange Net

An overview of the dynamic data grid framework in context with digital data sources, applications, and network.

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National Data Architecture

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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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Questions?

Thanks for your attention