Introduction to E-Research

By : Riri Kusumarani Advisor : Prof. Hangjung Zo

Korea Advanced Institute of Science & Technology (KAIST) Global ITTP, IT Management

2013

What is E-Research • Research activities that utilize advanced ICT capabilities

and embrace new research methodologies (Fitzgerald,Abbot ,2006; O’Brian ,2005).

Also has been used to describe large-scale and distributed, collaborative science

• E-Research changes the scale and sensitivity of instruments, enables remote access to results, instruments, & data resources, makes simulation and modeling of virtual experiments possible, creates aggregations of data, and accelerates research interaction and expands the scale. – Julie Watson -

Common Features of E-Research

• Collaboration(Inter-disciplinary,Inter-institution, International)

• High Performance Computing

• Data Visualization & Sharing

• Resource Sharing

It’s not only limited by the usage of

ICT for research activities

High Performance Computing

• Useful for – complex data processing and

analysis jobs that standard desktop computers would find it difficult or impossible to perform, and

– enable users to run many processing jobs with different parameters or input files more quickly.

– enable researchers to tackle some of the most demanding scientific and technical problems in fields

www.EresearchSA.edu.au

•molecular biology, genomics and proteomics •environmental science •fluid dynamics •water resource and environmental management •mechanical and structural engineering •physical oceanography •physics •computational chemistry •materials science. •etc

Research Area that usually need this :

Data Visualization & Data Sharing • As more research data is generated, the potential to

search, mine and reuse data also grows. If it is made available, research data can be can be re-used and re-applied to answer questions not necessarily related to the reasons for which is was originally captured.

www.EresearchSA.edu.au

E-Research offers advanced visualization facilities that is applicable to diverse disciplines. You will be able to explore abstract concept, complex data sets and the structure of objects

Research Collaboration

• E-research can fulfill the need to enrich your communications experiences, from formal meetings to ad-hoc and casual chats, or ..

• you want to collaboratively build and maintain web spaces, or..

• You want to expand your research level to inter-disciplinary ,inter-institutional or even international level

E-Research can provide you on the right tool to use, and show you the features designed to take collaboration to the next level.

www.EresearchSA.edu.au

Resource Sharing

• Resources can be interpreted as :

– Computers

– Storage / repositories

– Sensors and networks

– People and software ( Schopf)

• It’s conditional, depend on agreements and policies

Countries and E-Research Initiatives

• eResearch group at The University of

Queensland • eResearch South Australia • Intersect Australia Ltd - NSW • iVEC Western Australia • Monash e-Research Centre • NeCTAR National eResearch

Collaboration Tools and Resources • Queensland CyberInfrastructure

Foundation • University of Western Sydney

eResearch • Victorian eResearch Strategic

Initiative

United Kingdom

• UK National e-Science Centre

• OMII-UK

• Oxford e-Research Centre

• Manchester e-Research Centre at The University of Manchester

• Centre for e-Research, King's College London

• NZ eScience Infrastructure

Australia

New Zealand

Today’s E-Research Usage

• Building models of humans from processes in cells to tissue, organs and finally the whole body

• Analyzing data from large-scale scientific facilities like the square kilometers array of telescopes

• Building simulations of social processes to inform policy making in urban planning or healthcare

• Using character recognition and text classification technologies in the study of ancient documents

• Cataloging finds in an archaeological dig.

Examples of Research Projects with E-Research

Parkinson’s Disease

• Research for drug therapies that could halt the progression of this disease – Project involved molecular

modeling, molecular dynamics simulation and biochemical analysis.

– Researchers use e-research features to use all necessary promise for retarding the progression of this disease

Caltech’s Palomar Observatory

• Discovery of objects larger than Pluto – High Performance Wireless &

research & Education network (HPWREN) makes it possible of this discovery

– This discovery resulted the demotion of Pluto as a Planet.

– HPWREN supported real time transmission of astronomical image data from the telescopes located in different institution

Scenario

http://hugohiden.wordpress.com/

• There’s no legal issue, all kinds of agreement is considered as available.

• Research area is astronomy, and it requires complex computing & data visualization

• Research project is at group-level and not individual level

• Research project is short-term .

Assumption

Background

• Name of Project : PalomarObservatory

• Objective : – Discover of objects larger than pluto

• Number of collaborative institution : >3, geographically dispersed

• Data Access Level : Raw Data Only.

• Infrastructure Access Level : Open to All

Data & Infrastructure Sharing

• By using e-research, your computer is connected to a research network across the globe.

• You’ll be able to share information that you obtain

• You’ll be able to access data from other institution located in far away country.

• E-research will allow you to use facilities that is owned by other institution virtually.

High Performance Computing

• You produce multi-processing job from datasets that already being collected since the past 5 years and the datasets is spread across institutions repository.

• Calculating the mass is possible in a fast way, and always use up-to-date raw data.

• When it’s needed, you can generate visualization of data.

Collaboration

• With E-Research feature : collaboration, you’ll be able to communicate your finding live by using web-conference

• You will also be able to request for collaboration with different institution solving similar project.

Conclusion

• 4 Main features of E-Research :

– Collaboration(Inter-disciplinary,Inter-institution, International)

– High Performance Computing

– Data Visualization&Data Sharing

– Resource Sharing

It’s not only limited by the usage of ICT for research activities and can be used in various research disciplines

Finished Please follow below link to fill out survey regarding

E-Research adoption

http://tinyurl.com/o44znl2 or

https://docs.google.com/forms/d/1qtEcbWDoZs0hYpkE5NPkHTNPp4EyhtZ7w72J782nNjw/viewform

Thank you

-Riri Kusumarani-