SlideShare a Scribd company logo
Neil Chue Hong Director, OMII-UK [email_address] UK e-Infrastructure:  increasing access,  widening participation ICHEC 2007, 13-14 December 2007, Dublin
Neil Chue Hong Director, OMII-UK [email_address] UK e-Infrastructure:  increasing access,  widening participation ICHEC 2007, 13-14 December 2007, Dublin but first… I’ll give an overview of this… and my thoughts on this…
OMII-UK: Software Solutions for e-Research OMII-UK provides software and support to enable a sustained future for the UK e-Science community and its international collaborators. Core support and development: £7.8 million Commissioned Software Programme: £1.4 million ENGAGE: improving access to e-Infrastructure: £0.9 million Phase II: 2006 - 2009
OMII-UK: Adding benefit to e-Science More than just the middleware go above the components to provide added value Skilled team to help the community putting the right things together, integrating components providing consultancy and support to improve takeup developing, commissioning and improving software
What is infrastructure?
What is UK e-Infrastructure? A shared resource That enables science, research, engineering, medicine, industry, … It will improve UK / European / … productivity Lisbon Accord 2000 E-Science Vision SR2000 – John Taylor Commitment by UK government  Sections 2.23-2.25 Always there c.f. telephones, transport, power OSI report www.nesc.ac.uk/documents/OSI/index.html
e-Infrastructure the use of computing to support research but more than just the hardware
Slide: Neil Geddes
e-Science Centres in the UK Oxford Edinburgh Belfast Cambridge STFC Daresbury Manchester LeSC Newcastle Southampton Cardiff STFC Harwell Glasgow Leicester UCL Birmingham White Rose Grid Bristol Lancaster Reading Access Grid Support Centre Digital Curation Centre National Grid Service National Centre for e-Social Science National Centre for Text Mining National Institute for Environmental e-Science OMII-UK Sheffield York Leeds Coordinated by: Directors’ Forum & NeSC
e-Science is me-Science e-Science is  me -Science Why share unless you gain a benefit? To share you need credit credit implies trust and trust needs provenance
The Four Levels of e-Science Enlightenment 1)  Resources:  Providing access to a larger and wider diversity
Toolkits and Middleware The plumbing of “the Grid” Globus Toolkit, UNICORE, gLite, OMII but also .Net/CCS, Websphere … Providing standardised interfaces to resources
GridPP: the UK Grid for particle physics UK’s largest e-science project 19 UK Universities + STFC GridPP1  2001-2004 "From Web to Grid" [£16m+] GridPP2+  2004-2008  "From Prototype to Production” [£17m+] GridPP3  2008-2011   "From Production to Exploitation” [£30m]
GridPP: the UK Grid for particle physics Grid to analyse data from the Large Hadron Collider (LHC) at CERN Operations – Tier-1 centre at Rutherford Appleton Laboratory, 16 other sites Middleware – uses gLite Applications for particle physics experiments > 5,000 CPUs and > 1/2 Petabyte of disk storage Part of EGEE Grid UK/Ireland region contributed  30 million  kSI2k-hours  in 2006 – 25% of the total UK CPU used by biomedics, fusion, industry… Worldwide LHC computing Grid - by 2008 (full year’s data taking) CPU ~100MSI2k (100,000 CPUs) Storage ~80PB  Involving >100 institutes worldwide
Don’t be a banana, be a potato!
What do we need to share resources? Security Data Integration Registries Metadata is the key
What do we need to share resources? Networking Sharing Annotation Reuse Search Getting people involved in a community
Interoperability through standards? Each infrastructure runs different middleware;  most  of it works Standards needed for: security data transport job submission Standardisation is more important than standards documentation APIs tools “ The great thing about standards is they’re so many of them to choose from!”
Uniform access to computing resources Client only needs to know about applications “ Super-users” allow standard configurations to be setup Software used to provide several abstraction layers Campus Grid Toolkit: easy to install grid for job submission GridSAM/AHE Courtesy: Stefan Zasada
Uniform access to data resources OGSA-DAI: data integration for service providers Image courtesy SEEGEO/MoSeS
The Four Levels of e-Science Enlightenment 1)  Resources:  Providing access to a larger and wider diversity 2)  Automation:  Repeatability and management of experiments
Taking control of the research  Taverna: effortless workflows  for scientists
Statistical variability   Slide: Asen Asenov The simulation Paradigm now A 22 nm MOSFET In production 2008 A 4.2 nm MOSFET In production 2023
Delivering new results Simple concept I ntegrated  H ierarchical  S tatistical  D esign   Complex data and workflows D ata and  C ompute  I ntensive S ecurity  S ensitive Slide: Richard Sinnott
The Four Levels of e-Science Enlightenment 1)  Resources:  Providing access to a larger and wider diversity 2)  Automation:  Repeatability and management of experiments 3)  Collaboration:  Intra + cross disciplinary networks
Building better and bigger communities Virtual Research Environments bridge gap between infrastructure and users integrate functionality and facilities Harness interest in communities - make it easy to contribute and easy to benefit infrastructure annotation tools graphical environment Silchester Roman Town Project
Slide: David De Roure
Friends in the Community: OMII-UK PALs Open Source GIS Standards Data Mining Data Integration BioMoby Virtual Labs Alexander Woehrer Isao Kojima Chris Higgins Stephen McGough Mark Wilkinson Marco Roos Matthew Pocock
The Four Levels of e-Science Enlightenment 1)  Resources:  Providing access to a larger and wider diversity 2)  Automation:  Repeatability and management of experiments 3)  Collaboration:  Intra + cross disciplinary networks 4)  Participation:  Increasing access to a wider set of users; increasing knowledge in a domain
The Rise of Web 2.0 New sites allow non-technical users to share information and interact in programmable environments Social Networking: MySpace, Bebo, Facebook GIS: Google Maps, Google Earth Preference Matching: Amazon Meta-clustering: digg, del.icio.us Information Publishing: Flickr
The Rise of Web 2.0 New sites allow non-technical users to share information and interact in programmable environments Social Networking: MySpace, Bebo, Facebook GIS: Google Maps, Google Earth Preference Matching: Amazon Meta-clustering: digg, del.icio.us Information Publishing: Flickr An army of curators, a world of information
Galaxy Zoo
climate prediction .net   Users Worldwide >300,000 users total (90% MS Windows): >60,000 active ~17 million model-years simulated (as of September '06) ~180,000 completed simulations Slide: Robert Gurney The world's largest climate modelling supercomputer! (NB: a  black dot  is one or more computers running  climate prediction .net )
From Web 2.0 back to HEC again Managing data is the challenge: computation is a valuable tool  Capturing and improving scholarly process  is difficult Modelling the spread of  insect borne disease
Different Aspects for Different Users Applied  Technology Specialists  e-Infrastructure e-Researchers  (domain & generic)  Providers
Scientific flexibility not mechanistic complexity High expectations of Grids and e-Science not all of them met Most users just want the familiar but bigger, better, faster, more End-Users are interested in the fine grained detail but for quality choices, not mechanical choices performance, reliability, politics, brand, … Developers care about the detail and need to manage it
ENGAGE: developing new users of e-Infrastructure JISC funded, OMII-UK and NGS Work with e-IUS/e-Uptake, follow up on SUPER, target individual research groups Capture research scenarios Collaborate on e-Infrastructure designs Implementation and deployment Aim to create specific examples of research benefit from e-Infrastructure Get “non e-Science” groups to participate Use and Deployment Development and Integration Interventions Training Support Design Document and Disseminate Study Practice, Barriers, Enablers and Requirements ENGAGE www.engage.ac.uk
What do we mean by integration? Integration is more than just joining software sharing resources dynamically at many levels person to person published workflows Metadata is still the key  but it is not a purely  technical problem
Increasing access, widening participation People Infrastructure Tools Standards Research Output
OMII-UK Team
UK e-Infrastructure:  increasing access,  widening participation Neil Chue Hong Director, OMII-UK [email_address]
OMII-UK: For all kinds of users Taverna: effortless workflows  for scientists OGSA-DAI: data integration for service providers PAG: AG videoconferencing for anyone Campus Grid Toolkit: easy to install grid for job submission
The Four Levels of e-Science Enlightenment 1)  Resources:  Providing access to a larger and wider diversity 2)  Automation:  Repeatability and management of experiments 3)  Collaboration:  Intra + cross disciplinary networks 4)  Participation:  Increasing access to a wider set of users; increasing knowledge in a domain
Evolution National Global European  e-Infrastructure Slide: Neil Geddes Testbeds Utility Service Routine Usage

More Related Content

PPT
100503 bioinfo instsymp
PDF
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...
PPTX
UK e-Infrastructure for Research - UK/USA HPC Workshop, Oxford, July 2015
PPT
SKA NZ R&D BeSTGRID Infrastructure
PPT
Download PPT file
PPTX
Stronger together: community initiatives in journal management
PDF
06 e science-bio diversity@ pacc 18.07.2014
PDF
Data Science: History repeated? – The heritage of the Free and Open Source GI...
100503 bioinfo instsymp
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...
UK e-Infrastructure for Research - UK/USA HPC Workshop, Oxford, July 2015
SKA NZ R&D BeSTGRID Infrastructure
Download PPT file
Stronger together: community initiatives in journal management
06 e science-bio diversity@ pacc 18.07.2014
Data Science: History repeated? – The heritage of the Free and Open Source GI...

What's hot (20)

PPT
Ticer summer school_24_aug06
PPTX
DH2012_Bellamy
PDF
Linked Building (Energy) Data
PPT
Trends in Federal Funding of University Research
PPTX
Closing the Loop - From Citizen Sensing to Citizen Actuation
PPTX
ELIXIR and ELIXIR-UK training activities
PDF
Emerging Forms of Data and Analytics
PPT
Systems and Services: Adding Value For Research Data Assets
PPTX
Crowdsourcing Representation Information to Support Preservation: CRISP
PPTX
Parallel session: mobility
PPT
Hypertext2007 Carole Goble Keynote - "The Return of the Prodigal Web"
PPT
David Park APAN Slid..
PDF
Ethics of Automation
PDF
Infrastructure, relationships, trust, and RDA
PPTX
Parallel session: supporting data-intensive applications
PPTX
Big Data for the Social Sciences
PDF
Fire Brochure 2014
PDF
24 June 2015: Enduring challenge competition briefings
PDF
Azure Brain: 4th paradigm, scientific discovery & (really) big data
PPT
Science Big, Science Connected
Ticer summer school_24_aug06
DH2012_Bellamy
Linked Building (Energy) Data
Trends in Federal Funding of University Research
Closing the Loop - From Citizen Sensing to Citizen Actuation
ELIXIR and ELIXIR-UK training activities
Emerging Forms of Data and Analytics
Systems and Services: Adding Value For Research Data Assets
Crowdsourcing Representation Information to Support Preservation: CRISP
Parallel session: mobility
Hypertext2007 Carole Goble Keynote - "The Return of the Prodigal Web"
David Park APAN Slid..
Ethics of Automation
Infrastructure, relationships, trust, and RDA
Parallel session: supporting data-intensive applications
Big Data for the Social Sciences
Fire Brochure 2014
24 June 2015: Enduring challenge competition briefings
Azure Brain: 4th paradigm, scientific discovery & (really) big data
Science Big, Science Connected
Ad

Viewers also liked (20)

PPT
Cat Herding and Community Gardens: Practical e-Science Project Management
PPT
Why Good Software Sometimes Dies... and how to save it
PPTX
Tracking software contributions
PPTX
Software Sustainability Institute
PPTX
Software Sustainability: preserving the future of research software
PPTX
Doing Science Properly In The Digital Age - Rutgers Seminar
PPT
Wellness akademia 2011
PDF
2012.04.06. husveti akcio
PDF
2012. 4-es és 5-ös katalógusainak újdonságai
PPTX
Software, Training and Users Panel: the Software Sustainability Institute's View
PPTX
Communicating trust, enabling criticism
PPT
News_2010_C16
PPT
Software Sustainability in e-Research: Dying for a Change
PDF
Externalizacion.presente,pasado y futuro de los centros de datos
PPTX
Educacion virtual vs_educacion_presencial_-_copia[1]
PDF
FRM-008-職能管理與績效管理系統分享(三陽工業)
PPTX
El mundo de las tics
PPTX
Buscadores
PDF
Hr 003 工業工程系生涯規劃
PDF
CEO-006-成功主管的8個Know How
Cat Herding and Community Gardens: Practical e-Science Project Management
Why Good Software Sometimes Dies... and how to save it
Tracking software contributions
Software Sustainability Institute
Software Sustainability: preserving the future of research software
Doing Science Properly In The Digital Age - Rutgers Seminar
Wellness akademia 2011
2012.04.06. husveti akcio
2012. 4-es és 5-ös katalógusainak újdonságai
Software, Training and Users Panel: the Software Sustainability Institute's View
Communicating trust, enabling criticism
News_2010_C16
Software Sustainability in e-Research: Dying for a Change
Externalizacion.presente,pasado y futuro de los centros de datos
Educacion virtual vs_educacion_presencial_-_copia[1]
FRM-008-職能管理與績效管理系統分享(三陽工業)
El mundo de las tics
Buscadores
Hr 003 工業工程系生涯規劃
CEO-006-成功主管的8個Know How
Ad

Similar to UK e-Infrastructure: Widening Access, Increasing Participation (20)

PPT
The New e-Science
PPT
Prtesentation17 12 09 2
PPT
Gridforum David De Roure Newe Science 20080402
PPT
The New e-Science (Bangalore Edition)
PPTX
The Story of the Semantic Grid
PPT
Talking 'bout a revolution: Framing e-Research as a computerization movement
PPT
SomeSlides
PPTX
Deroure Repo3
PPTX
Deroure Repo3
PPT
Sinnott Paper
PPT
Cyberistructure
PPTX
Jarkko Siren, European Commission #RLUK14
PPT
E Infrastructure for OA
PPTX
What is eScience, and where does it go from here?
PPT
Science in a Digital Age
PDF
Session 23 - Intro to EGEE-III
PPT
The Developing Needs for e-infrastructures
PPT
BeSTGRID OpenGridForum 29 GIN session
PPT
E research overview gahegan bioinformatics workshop 2010
PDF
New Infrastructures For Knowledge Production Understanding Escience Hine Cm
The New e-Science
Prtesentation17 12 09 2
Gridforum David De Roure Newe Science 20080402
The New e-Science (Bangalore Edition)
The Story of the Semantic Grid
Talking 'bout a revolution: Framing e-Research as a computerization movement
SomeSlides
Deroure Repo3
Deroure Repo3
Sinnott Paper
Cyberistructure
Jarkko Siren, European Commission #RLUK14
E Infrastructure for OA
What is eScience, and where does it go from here?
Science in a Digital Age
Session 23 - Intro to EGEE-III
The Developing Needs for e-infrastructures
BeSTGRID OpenGridForum 29 GIN session
E research overview gahegan bioinformatics workshop 2010
New Infrastructures For Knowledge Production Understanding Escience Hine Cm

More from Neil Chue Hong (9)

PPTX
Why developing research software is like a startup (and why this matters)
PPTX
Scientific Software: Sustainability, Skills & Sociology
PPTX
The Foundations of Digital Research
PDF
UK Funder Policy - the results of the Academic Spring?
PPTX
Doing Science Properly in the Digital Age: Software Skills for Free-Range Res...
PPTX
Where does it go from here? The role of software in digital repositories
PPTX
Software Sustainability: a UK Perspective
PPT
Cultivating Sustainable Software For Research
PPT
Data 2.0|
Why developing research software is like a startup (and why this matters)
Scientific Software: Sustainability, Skills & Sociology
The Foundations of Digital Research
UK Funder Policy - the results of the Academic Spring?
Doing Science Properly in the Digital Age: Software Skills for Free-Range Res...
Where does it go from here? The role of software in digital repositories
Software Sustainability: a UK Perspective
Cultivating Sustainable Software For Research
Data 2.0|

Recently uploaded (20)

PPTX
cloud_computing_Infrastucture_as_cloud_p
PDF
gpt5_lecture_notes_comprehensive_20250812015547.pdf
PDF
Encapsulation theory and applications.pdf
PDF
Hybrid model detection and classification of lung cancer
PDF
Agricultural_Statistics_at_a_Glance_2022_0.pdf
PPTX
Group 1 Presentation -Planning and Decision Making .pptx
PPTX
Tartificialntelligence_presentation.pptx
PPTX
TechTalks-8-2019-Service-Management-ITIL-Refresh-ITIL-4-Framework-Supports-Ou...
PDF
MIND Revenue Release Quarter 2 2025 Press Release
PDF
DP Operators-handbook-extract for the Mautical Institute
PDF
Hindi spoken digit analysis for native and non-native speakers
PDF
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
PDF
August Patch Tuesday
PDF
Encapsulation_ Review paper, used for researhc scholars
PPTX
A Presentation on Artificial Intelligence
PDF
project resource management chapter-09.pdf
PDF
Getting Started with Data Integration: FME Form 101
PDF
Heart disease approach using modified random forest and particle swarm optimi...
PPTX
1. Introduction to Computer Programming.pptx
PPTX
Digital-Transformation-Roadmap-for-Companies.pptx
cloud_computing_Infrastucture_as_cloud_p
gpt5_lecture_notes_comprehensive_20250812015547.pdf
Encapsulation theory and applications.pdf
Hybrid model detection and classification of lung cancer
Agricultural_Statistics_at_a_Glance_2022_0.pdf
Group 1 Presentation -Planning and Decision Making .pptx
Tartificialntelligence_presentation.pptx
TechTalks-8-2019-Service-Management-ITIL-Refresh-ITIL-4-Framework-Supports-Ou...
MIND Revenue Release Quarter 2 2025 Press Release
DP Operators-handbook-extract for the Mautical Institute
Hindi spoken digit analysis for native and non-native speakers
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
August Patch Tuesday
Encapsulation_ Review paper, used for researhc scholars
A Presentation on Artificial Intelligence
project resource management chapter-09.pdf
Getting Started with Data Integration: FME Form 101
Heart disease approach using modified random forest and particle swarm optimi...
1. Introduction to Computer Programming.pptx
Digital-Transformation-Roadmap-for-Companies.pptx

UK e-Infrastructure: Widening Access, Increasing Participation

  • 1. Neil Chue Hong Director, OMII-UK [email_address] UK e-Infrastructure: increasing access, widening participation ICHEC 2007, 13-14 December 2007, Dublin
  • 2. Neil Chue Hong Director, OMII-UK [email_address] UK e-Infrastructure: increasing access, widening participation ICHEC 2007, 13-14 December 2007, Dublin but first… I’ll give an overview of this… and my thoughts on this…
  • 3. OMII-UK: Software Solutions for e-Research OMII-UK provides software and support to enable a sustained future for the UK e-Science community and its international collaborators. Core support and development: £7.8 million Commissioned Software Programme: £1.4 million ENGAGE: improving access to e-Infrastructure: £0.9 million Phase II: 2006 - 2009
  • 4. OMII-UK: Adding benefit to e-Science More than just the middleware go above the components to provide added value Skilled team to help the community putting the right things together, integrating components providing consultancy and support to improve takeup developing, commissioning and improving software
  • 6. What is UK e-Infrastructure? A shared resource That enables science, research, engineering, medicine, industry, … It will improve UK / European / … productivity Lisbon Accord 2000 E-Science Vision SR2000 – John Taylor Commitment by UK government Sections 2.23-2.25 Always there c.f. telephones, transport, power OSI report www.nesc.ac.uk/documents/OSI/index.html
  • 7. e-Infrastructure the use of computing to support research but more than just the hardware
  • 9. e-Science Centres in the UK Oxford Edinburgh Belfast Cambridge STFC Daresbury Manchester LeSC Newcastle Southampton Cardiff STFC Harwell Glasgow Leicester UCL Birmingham White Rose Grid Bristol Lancaster Reading Access Grid Support Centre Digital Curation Centre National Grid Service National Centre for e-Social Science National Centre for Text Mining National Institute for Environmental e-Science OMII-UK Sheffield York Leeds Coordinated by: Directors’ Forum & NeSC
  • 10. e-Science is me-Science e-Science is me -Science Why share unless you gain a benefit? To share you need credit credit implies trust and trust needs provenance
  • 11. The Four Levels of e-Science Enlightenment 1) Resources: Providing access to a larger and wider diversity
  • 12. Toolkits and Middleware The plumbing of “the Grid” Globus Toolkit, UNICORE, gLite, OMII but also .Net/CCS, Websphere … Providing standardised interfaces to resources
  • 13. GridPP: the UK Grid for particle physics UK’s largest e-science project 19 UK Universities + STFC GridPP1 2001-2004 "From Web to Grid" [£16m+] GridPP2+ 2004-2008 "From Prototype to Production” [£17m+] GridPP3 2008-2011 "From Production to Exploitation” [£30m]
  • 14. GridPP: the UK Grid for particle physics Grid to analyse data from the Large Hadron Collider (LHC) at CERN Operations – Tier-1 centre at Rutherford Appleton Laboratory, 16 other sites Middleware – uses gLite Applications for particle physics experiments > 5,000 CPUs and > 1/2 Petabyte of disk storage Part of EGEE Grid UK/Ireland region contributed 30 million kSI2k-hours in 2006 – 25% of the total UK CPU used by biomedics, fusion, industry… Worldwide LHC computing Grid - by 2008 (full year’s data taking) CPU ~100MSI2k (100,000 CPUs) Storage ~80PB Involving >100 institutes worldwide
  • 15. Don’t be a banana, be a potato!
  • 16. What do we need to share resources? Security Data Integration Registries Metadata is the key
  • 17. What do we need to share resources? Networking Sharing Annotation Reuse Search Getting people involved in a community
  • 18. Interoperability through standards? Each infrastructure runs different middleware; most of it works Standards needed for: security data transport job submission Standardisation is more important than standards documentation APIs tools “ The great thing about standards is they’re so many of them to choose from!”
  • 19. Uniform access to computing resources Client only needs to know about applications “ Super-users” allow standard configurations to be setup Software used to provide several abstraction layers Campus Grid Toolkit: easy to install grid for job submission GridSAM/AHE Courtesy: Stefan Zasada
  • 20. Uniform access to data resources OGSA-DAI: data integration for service providers Image courtesy SEEGEO/MoSeS
  • 21. The Four Levels of e-Science Enlightenment 1) Resources: Providing access to a larger and wider diversity 2) Automation: Repeatability and management of experiments
  • 22. Taking control of the research Taverna: effortless workflows for scientists
  • 23. Statistical variability Slide: Asen Asenov The simulation Paradigm now A 22 nm MOSFET In production 2008 A 4.2 nm MOSFET In production 2023
  • 24. Delivering new results Simple concept I ntegrated H ierarchical S tatistical D esign Complex data and workflows D ata and C ompute I ntensive S ecurity S ensitive Slide: Richard Sinnott
  • 25. The Four Levels of e-Science Enlightenment 1) Resources: Providing access to a larger and wider diversity 2) Automation: Repeatability and management of experiments 3) Collaboration: Intra + cross disciplinary networks
  • 26. Building better and bigger communities Virtual Research Environments bridge gap between infrastructure and users integrate functionality and facilities Harness interest in communities - make it easy to contribute and easy to benefit infrastructure annotation tools graphical environment Silchester Roman Town Project
  • 28. Friends in the Community: OMII-UK PALs Open Source GIS Standards Data Mining Data Integration BioMoby Virtual Labs Alexander Woehrer Isao Kojima Chris Higgins Stephen McGough Mark Wilkinson Marco Roos Matthew Pocock
  • 29. The Four Levels of e-Science Enlightenment 1) Resources: Providing access to a larger and wider diversity 2) Automation: Repeatability and management of experiments 3) Collaboration: Intra + cross disciplinary networks 4) Participation: Increasing access to a wider set of users; increasing knowledge in a domain
  • 30. The Rise of Web 2.0 New sites allow non-technical users to share information and interact in programmable environments Social Networking: MySpace, Bebo, Facebook GIS: Google Maps, Google Earth Preference Matching: Amazon Meta-clustering: digg, del.icio.us Information Publishing: Flickr
  • 31. The Rise of Web 2.0 New sites allow non-technical users to share information and interact in programmable environments Social Networking: MySpace, Bebo, Facebook GIS: Google Maps, Google Earth Preference Matching: Amazon Meta-clustering: digg, del.icio.us Information Publishing: Flickr An army of curators, a world of information
  • 33. climate prediction .net Users Worldwide >300,000 users total (90% MS Windows): >60,000 active ~17 million model-years simulated (as of September '06) ~180,000 completed simulations Slide: Robert Gurney The world's largest climate modelling supercomputer! (NB: a black dot is one or more computers running climate prediction .net )
  • 34. From Web 2.0 back to HEC again Managing data is the challenge: computation is a valuable tool Capturing and improving scholarly process is difficult Modelling the spread of insect borne disease
  • 35. Different Aspects for Different Users Applied Technology Specialists e-Infrastructure e-Researchers (domain & generic) Providers
  • 36. Scientific flexibility not mechanistic complexity High expectations of Grids and e-Science not all of them met Most users just want the familiar but bigger, better, faster, more End-Users are interested in the fine grained detail but for quality choices, not mechanical choices performance, reliability, politics, brand, … Developers care about the detail and need to manage it
  • 37. ENGAGE: developing new users of e-Infrastructure JISC funded, OMII-UK and NGS Work with e-IUS/e-Uptake, follow up on SUPER, target individual research groups Capture research scenarios Collaborate on e-Infrastructure designs Implementation and deployment Aim to create specific examples of research benefit from e-Infrastructure Get “non e-Science” groups to participate Use and Deployment Development and Integration Interventions Training Support Design Document and Disseminate Study Practice, Barriers, Enablers and Requirements ENGAGE www.engage.ac.uk
  • 38. What do we mean by integration? Integration is more than just joining software sharing resources dynamically at many levels person to person published workflows Metadata is still the key but it is not a purely technical problem
  • 39. Increasing access, widening participation People Infrastructure Tools Standards Research Output
  • 41. UK e-Infrastructure: increasing access, widening participation Neil Chue Hong Director, OMII-UK [email_address]
  • 42. OMII-UK: For all kinds of users Taverna: effortless workflows for scientists OGSA-DAI: data integration for service providers PAG: AG videoconferencing for anyone Campus Grid Toolkit: easy to install grid for job submission
  • 43. The Four Levels of e-Science Enlightenment 1) Resources: Providing access to a larger and wider diversity 2) Automation: Repeatability and management of experiments 3) Collaboration: Intra + cross disciplinary networks 4) Participation: Increasing access to a wider set of users; increasing knowledge in a domain
  • 44. Evolution National Global European e-Infrastructure Slide: Neil Geddes Testbeds Utility Service Routine Usage