A Web/Grid Services Approach for a Virtual Research Environment Implementation Y. W. Sim, C. Wang, L. A. Carr, H. C. Davies, L. Gilbert, S. Grange, D.

Slides:



Advertisements
Similar presentations
Questasy Technical Overview Alerk Amin. Data Dissemination Requirements Data collection Multiple languages One system –Data and metadata –Administrators.
Advertisements

National Institute of Statistics, Geography and Informatics (INEGI) Implementation of SDMX in Mexico.
Supporting further and higher education VRE Programme Current Position and Achievements to Date Maia Dimitrova 28 th Nov 05.
OMII-Europe Repository Steven Newhouse Director, OMII-UK.
Collaborative Orthopaedic Research Environment Thanks: Lester Gilbert, Yee Wai Sim Chu Wang.
Collaborative Orthopaedic Research Environment Lester Gilbert, Gary Wills, Yee-Wai Sim, Chu Wang, Matt Stenning School of Electronics and Computer Science.
CVRG Presenter Disclosure Information Tahsin Kurc, PhD Center for Comprehensive Informatics Emory University CardioVascular Research Grid Core Infrastructure.
Kensington Oracle Edition: Open Discovery Workflow Meets Oracle 10g Professor Yike Guo.
6-7 May 2002 CEOS GRID Workshop 1 “CEOS GRID Proposals” roundtable: Introduction ESRIN, 6-7 May 2002 CEOS Workshop on GRID.
Planning for Flexible Integration via Service-Oriented Architecture (SOA) APSR Forum – The Well-Integrated Repository Sydney, Australia February 2006 Sandy.
‘Towards a competency model for adaptive assessment to support lifelong learning’ Onjira Sitthisak, Lester Gilbert and Hugh C. Davis Learning Technologies.
SOA Architecture Delivery Process by Dr. Robert Marcus SRI International 1100 Wilson Boulevard Arlington, VA
1 CBioC: Collaborative Bio- Curation Chitta Baral Department of Computer Science and Engineering Arizona State University.
Introduction and Overview “the grid” – a proposed distributed computing infrastructure for advanced science and engineering. Purpose: grid concept is motivated.
Grace CHENG Lewis CHOI Knowledge Management Unit Hospital Authority Leveraging Knowledge from Clinical Guidelines through Information Technologies.
Grids and Grid Technologies for Wide-Area Distributed Computing Mark Baker, Rajkumar Buyya and Domenico Laforenza.
FREMA: e-Learning Framework Reference Model for Assessment David Millard Yvonne Howard IAM, DSSE, LTG University of Southampton, UK.
National Science Foundation: Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics (TUES)
ORACLE APPLICATION SERVER BY PHANINDER SURAPANENI CIS 764.
Web-based Portal for Discovery, Retrieval and Visualization of Earth Science Datasets in Grid Environment Zhenping (Jane) Liu.
Software Architecture April-10Confidential Proprietary Master Data Management mainly inspired from Enterprise Master Data Management – An SOA approach.
Using the Drupal Content Management Software (CMS) as a framework for OMICS/Imaging-based collaboration.
Information and Communication Technologies in the field of general education in Armenia NATIONAL CENTER OF EDUCATIONAL TECHNOLOGIES.
Development Principles PHIN advances the use of standard vocabularies by working with Standards Development Organizations to ensure that public health.
Assessment of Core Services provided to USLHC by OSG.
Computer Science Perspective Ludek Matyska Faculty of Informatics, Masaryk University, Brno and also CESNET, Prague.
Key integrating concepts Groups Formal Community Groups Ad-hoc special purpose/ interest groups Fine-grained access control and membership Linked All content.
Conceptual framework for a Malaria VRE in South Africa Dr Heila Pienaar (UP) & Dr Martie van Deventer (CSIR) The Research Information Centre Stakeholder.
CONCLUSION There is everywhere concern for decreasing funding combined with increasing needs for data on new topics and emergence of alternative data sources.
Chapter 5: Principles of Service- Oriented Computing Service-Oriented Computing: Semantics, Processes, Agents – Munindar P. Singh and Michael N. Huhns,
GRACE Project IST EGAAP meeting – Den Haag, 25/11/2004 Giuseppe Sisto – Telecom Italia Lab.
DISTRIBUTED COMPUTING
LIS 506 (Fall 2006) LIS 506 Information Technology Week 11: Digital Libraries & Institutional Repositories.
INFSO-RI Enabling Grids for E-sciencE The US Federation Miron Livny Computer Sciences Department University of Wisconsin – Madison.
National Science Foundation 1 Evaluating the EHR Portfolio Judith A. Ramaley Assistant Director Education and Human Resources.
Ohio State University Department of Computer Science and Engineering 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan.
March 26, 2003The Navigo Project Hans C. Masing, The University of Michigan Lance D. Speelmon, Indiana University An IMS and OKI Compliant Open Source.
Jacques Kapuscinski Office of Research and Development U.S. EPA Models.Tools.Data.Products.Collaboration.News.Contacts. S cience C onnector ENVIRONMENTAL.
Max Ong University of Sheffield, UK. AHM 2004 Session 2.3: Workflow Composition, Wednesday 1 st September 2004, 4pm. Workflow Advisor in DAME Abstract.
GEM Portal and SERVOGrid for Earthquake Science PTLIU Laboratory for Community Grids Geoffrey Fox, Marlon Pierce Computer Science, Informatics, Physics.
DataNet – Flexible Metadata Overlay over File Resources Daniel Harężlak 1, Marek Kasztelnik 1, Maciej Pawlik 1, Bartosz Wilk 1, Marian Bubak 1,2 1 ACC.
Digital Commons & Open Access Repositories Johanna Bristow, Strategic Marketing Manager APBSLG Libraries: September 2006.
EDUCAUSE 2005 Annual Conference October 19, 2005.
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
ACGT: Open Grid Services for Improving Medical Knowledge Discovery Stelios G. Sfakianakis, FORTH.
ISERVOGrid Architecture Working Group Brisbane Australia June Geoffrey Fox Community Grids Lab Indiana University
Ruth Pordes November 2004TeraGrid GIG Site Review1 TeraGrid and Open Science Grid Ruth Pordes, Fermilab representing the Open Science.
Digital Learning India 2008 July , 2008 Mrs. C. Vijayalakshmi Department of Computer science and Engineering Indian Institute of Technology – IIT.
Cooperative experiments in VL-e: from scientific workflows to knowledge sharing Z.Zhao (1) V. Guevara( 1) A. Wibisono(1) A. Belloum(1) M. Bubak(1,2) B.
OGCE Components for Enhancing UltraScan Job Management. Suresh Marru,Raminder Singh, Marlon Pierce.
©2012 LIESMARS Wuhan University Building Integrated Cyberinfrastructure for GIScience through Geospatial Service Web Jianya Gong, Tong Zhang, Huayi Wu.
1Mobile Computing Systems © 2001 Carnegie Mellon University Writing a Successful NSF Proposal November 4, 2003 Website: nsf.gov.
Why to care about research?
Integrating Technology With The Curriculum Dr. Peter Arthur.
1 Accomplishments. 2 Overview of Accomplishments  Sustaining the Production Earth System Grid Serving the current needs of the climate modeling community.
Cyberinfrastructure Overview Russ Hobby, Internet2 ECSU CI Days 4 January 2008.
Pertemuan 16 Materi : Buku Wajib & Sumber Materi :
1 CLASS – Simple NOAA Archive Access Portal SNAAP Eric Kihn and Rob Prentice NGDC CLASS Developers Meeting July 14th, 2008 Simple NOAA Archive Access Portal.
Education Transform Resources
Function BIRN The ability to find a subject who may have participated in multiple experiments and had multiple assessments done is a critical component.
Structured Protocol Representation for the Cancer Biomedical Informatics Grid: caSPR and caPRI.
ACGT Architecture and Grid Infrastructure Juliusz Pukacki ‏ EGEE Conference Budapest, 4 October 2007.
Using iRODS with the EnginFrame Grid Portal into the GRIDA3 project Francesco Locunto Marco Piras Matteo Vocale.
JRA3 Introduction Åke Edlund EGEE Security Head
Using the Drupal Content Management Software (CMS) as a framework for OMICS/Imaging-based collaboration.
BoF: VREs- Keith G Jeffery & Helen Glaves
GSAF Grid Storage Access Framework
The JISC IE Metadata Schema Registry
Smart Learning concepts to enhance SMART Universities in Africa
Development of Information Grid
Presentation transcript:

A Web/Grid Services Approach for a Virtual Research Environment Implementation Y. W. Sim, C. Wang, L. A. Carr, H. C. Davies, L. Gilbert, S. Grange, D. E. Millard and G. B. Wills School of Electronics and Computer Science University of Southampton United Kingdom Funded by: Project Website:

2 of 13 Agenda Motivation Proposed Solution The VOEU Approach The CORE Approach Requirement study Architecture Conclusions Funded by: Project Website:

3 of 13 Motivation Infrastructures to support increasing number of researchers in biomedical field Integration of data generated by diverse bio- informatics tools The need of collaborative research to reduce cost Grid focuses only upon the immediate aspects of science Funded by: Project Website:

4 of 13 Proposed Solution Implement a Virtual Research Environment (VRE) using Service-Oriented Architecture (SOA) concepts and Grid/Web service technology  Ascertain the user requirements for a VRE  Develop an architecture based on a SOA  Build a demonstrator incorporating services that allow users to create, manage and discuss their clinical trials  Report on the evaluation process and results Funded by: Project Website:

5 of 13 The VOEU Approach The CORE is a follow-up project to VOEU, which supports the educational process and to aid surgeons in preparing findings for publications The VOEU VRE consists of schema space and user space Funded by: Project Website:

6 of 13 The VOEU Approach Funded by: Project Website:

7 of 13 The CORE Approach The VRE in VOEU is based on a tightly coupled architecture The CORE takes the foundations of VRE in VOEU and decomposes them into Grid/Web services within a SOA Funded by: Project Website:

8 of 13 Requirement study Objectives of the study:  To identify the requirements of users for a VRE  To discover developments that would enhance the planned functionalities in the CORE  To assess the current practice of users in discovering, locating and using research findings to inform the enhancement of such processes through the VRE Funded by: Project Website:

9 of 13 Requirement study Major findings:  Majority of the participants welcomed the idea of sharing research resources  Contextualise resources and data presentation  Users would like to utilise Grid in running large scale simulations  Toolkit in the VRE should be made easy to use  Inclusion of statistical analysis tools and authoring tools is essential in the VRE  Majority of the participants use Google and PubMed to locate research materials  Flexibility in adding tools (services)  Some participants are concerned with the issues of intellectual capital Funded by: Project Website:

10 of 13 Requirement study Recommendations:  A portal is an appropriate technology to construct a VRE  The accessible resources should be made easy to browse, upload and download  There is a need to develop a Grid/Web service based research environment, which can adapt to changing user requirements  All participants agreed that the planned functionalities in the VRE are essential  Grid infrastructure should be included in the VRE as it provides secure access to resources  Metadata in VRE should be utilized effectively so that resources in the portal can be retrieved via search engines Funded by: Project Website:

11 of 13 Architecture Funded by: Project Website:

12 of 13 Architecture Portal  Act as a presentation layer which aggregates, integrates, personalises and presents information, transactions and applications to users OMII middleware  It allows end users to access Grid resources and applications in a trusted and secure environment Services  Analysis A web service to perform analysis on dataset using statistical method  EPrints A web service to help submit, disseminate articles for reviewing between researchers  Forum A web service to support discussions between researchers  Data Set Manager A web service to handle trial related data  Grid Simulation A grid service to provide users with functionalities in running their simulations Funded by: Project Website:

13 of 13 Conclusions VRE in VOEU is being re-engineered as a loosely coupled system using SOA concepts and Grid/Web service technology The VRE supports sharing and dissemination of research findings, i.e. data and publications The use of Grid services for distributed computation means that powerful analysis and modelling tools can be made accessible to individual researchers Building a VRE demonstrator and conduct a evaluation Funded by: Project Website:

Questions Contact: Gary Wills (Project Manager) School of Electronics and Computer Science University of Southampton SO17 1BJ, United Kingdom Funded by: Project Website: Project Web site: