1. Joint Information Systems Committee 4/16/2014 | | Slide 1 David De Roure Electronics and Computer Science University of Southampton e-Research the JISC way Towards the Grid of People

2. Joint Information Systems Committee 4/16/2014 | | Slide 2 Outline Intro – JISC and e-Science How e-Science feeds through into JISC –Holistic view of the lifecycle - e-Bank –Collaboration - Memetic Future opportunities –Virtual Research Environments –e-Infrastructure Conclusions

3. Joint Information Systems Committee 4/16/2014 | | Slide 3 Transformative Application - to enhance discovery & learning R&D to enhance technical and social dimensions of future CI systems Provisioning - Creation, deployment and operation of advanced CI Dan Atkins

4. Joint Information Systems Committee 4/16/2014 | | Slide 4 Computation, Storage, Communication and Interface Technologies Cyber-infrastructure Services Equipment, Software, People, Institutions Project/Discipline Specific Virtual Organizations: collaboratories, grids, e-science community, virtual teams, community portal,... Broader Application to other disciplines and types of activity. Outcomes: New Ideas, New Tools, Education & Career Development, Outreach* Attributes: Collaborative, Multidisciplinary, Geographically Distributed, Inter-institutional* * From Cummings & Kiesler (2003) report on KDI Initiative: Multidisciplinary scientific collaborations, see http://www.p2design.com/papers/kdi.pdfhttp://www.p2design.com/papers/kdi.pdf Cyberinfrastructure-enhanced Knowledge Communities Dan Atkins

5. Joint Information Systems Committee 4/16/2014 | | Slide 5 JSR JISC Support of Research committee – supports the requirements of the research community Includes representatives nominated by each of the UK Research Councils www.jisc.ac.uk/jcsr The role of the JISC Support of Research committee is to support the research community by funding technical development and advisory services. The representative nature of the committee and its strong links with the other research bodies ensure that these activities remain relevant to the research community.

6. Joint Information Systems Committee 4/16/2014 | | Slide 6 X-Ray e-Lab Analysis Properties Properties e-Lab Simulation Video Diffractometer Grid Middleware Structures Database CombeChem pilot project

7. Learning & Teaching workflows Research & e-Science workflows Aggregator services: national, commercial Repositories : institutional, e-prints, subject, data, learning objects Institutional presentation services: portals, Learning Management Systems, u/g, p/g courses, modules Harvesting metadata Data creation / capture / gathering: laboratory experiments, Grids, fieldwork, surveys, media Resource discovery, linking, embedding Deposit / self- archiving Peer-reviewed publications: journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Resource discovery, linking, embedding Deposit / self- archiving Learning object creation, re-use Searching, harvesting, embedding Quality assurance bodies Validation Presentation services: subject, media-specific, data, commercial portals Resource discovery, linking, embedding The scholarly knowledge cycle. Liz Lyon, Ariadne, July 2003. This work is licensed under a Creative Commons License Attribution-ShareAlike 2.0Creative Commons License © Liz Lyon (UKOLN, University of Bath), 2003

8. Joint Information Systems Committee 4/16/2014 | | Slide 8 Data capture

9. Joint Information Systems Committee 4/16/2014 | | Slide 9 1.Produce strategy for synthesis (=idea) 2.Submit plan to SmartTea system (incl. identifiers) 3.Retrieve and follow instructions (sub-workflow) 4.Experimental synthesis metadata automatically recorded on instruments (Smart Lab) 5.Create record for synthesised sample (+ proposed chemical identifier) in R4L laboratory data management system 6.Run spectral analyses on sample capturing further analysis metadata (incl. time- stamp, analysis software version, researcher details etc.) 7.Save spectrum in native and common formats 8.Invoke R4L data capture service and deposit files + metadata in laboratory repository… RAW DATADERIVED DATARESULTS DATA Deposit scenario

10. Joint Information Systems Committee 4/16/2014 | | Slide 10 eBank UK Project Promote open access crystallography data Aggregator service harvests OAI metadata from institutional data repository (e-Crystals archive) Service linking from data to derived research publication Embedding eBank service in learning workflows: pedagogy http://www.ukoln.ac.uk/projects/ebank-uk/

11. Joint Information Systems Committee 4/16/2014 | | Slide 11 ecrystals.chem.soton.ac.uk

12. Joint Information Systems Committee 4/16/2014 | | Slide 12 Access to the underlying data: complex objects

13. e-Research workflows Aggregator services Institutional data repositories Data curation & preservation: databases & databanks Validation Harvest Data creation & capture in Smart lab Deposit Publishers: peer-review journals, conference proceedings Publication Validation Data analysis, transformation, mining, modelling Search, harvest Presentation services: portals Data discovery, linking, citation Linking, citation Laboratory repository Deposit (Chemistry Central) e-Crystals Federation model This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0

14. Joint Information Systems Committee 4/16/2014 | | Slide 14 e-Malaria A computer-aided drug discovery system for chemistry teaching –Take a suitable enzyme target in the malaria parasite –Design small molecule as possible drug –Dock in to enzyme target to find improved binding –Modify to yield drug like molecule Example of chemistry in context –Authentic activity –Students use real data and real software –Chance drug candidates could go on for in vitro & in vivo tests

15. Joint Information Systems Committee 4/16/2014 | | Slide 15 3D shape Now try to dock the drug in to the enzyme active site- but which way round? Lots of ways to try! How well does it bind? View in 3D with Jmol

16. Joint Information Systems Committee 4/16/2014 | | Slide 16 http://www.flickr.com/photos/peterwong1228/246829538/ 23 June 2006 Architecture of Participation? This work is licensed under a Creative Commons License Attribution-ShareAlike 2.0Creative Commons License

17. Joint Information Systems Committee 4/16/2014 | | Slide 17 Carole Goble

18. Joint Information Systems Committee 4/16/2014 | | Slide 18 integrated Rule-Oriented Data System Multiple systems need to be integrated: PAWN submission pipeline - 34 operations Cheshire indexing system - 13 operations Kepler workflow - 53 operations iRODS data management - 597 operations Operations facility - the remaining capabilities The 597 operations are executed by 174 generic rules The analysis identified five types of metadata attributes: Collection metadata - 11 attributes File metadata - 123 attributes User metadata - 38 attributes Resource metadata - 9 attributes Rule metadata - 32 attributes Reagan Moore

19. Joint Information Systems Committee 4/16/2014 | | Slide 19 VRE Vision e-ScientistScientist in the field e-Resources e-Experiments

20. Joint Information Systems Committee 4/16/2014 | | Slide 20 Programme Structure Collaboration Tools Subject Specific Tools Front-End Applications VRE Technical Infrastructure Remote experimentation Portals Grid toolkit Meeting support Stereoscopic data analysis Archaeological excavations Sakai research support Orthopaedics History Engineering

21. Joint Information Systems Committee 4/16/2014 | | Slide 21 interpretation of data/events following through decisions/ coordinating activities producing documents & other artifacts archiving/recovering information informal and formal communication meetings Key collective activities in e-science

22. Joint Information Systems Committee 4/16/2014 | | Slide 22 How can we weave together distributed discourse and documents? Add notational and hypermedia structure to discussions & documents Add indices to events in meetings so the meetings themselves become indexed documents Make meetings persistent and replayable Mike Daw

23. Joint Information Systems Committee 4/16/2014 | | Slide 23 Memetic uses since its release a non-distributed lecture for distance learning social science AG seminars Education seminars extended job exit interview; to record job expertise recording mathematical work and a meeting between system developers in UK and US investigating use of memetic for research (i.e. observing and annotating events of groups of students in learning scenario) investigating use of memetic for observation & evaluation of performance art

24. Joint Information Systems Committee 4/16/2014 | | Slide 24 AHRC Workshop

25. Joint Information Systems Committee Conferences, the Semantic Web and Social Software

26. Joint Information Systems Committee 4/16/2014 | | Slide 26 Subliminal messages You might have noticed a semantic theme Its about –Automation –Sharing, Interoperability –Record and Reuse (anticipated and unanticipated) www.semanticgrid.org

27. Joint Information Systems Committee 4/16/2014 | | Slide 27 VRE 1 vs VRE 2 VRE 1 Technology-focused Experimental Diverse design & development approaches Stand-alone solutions VRE 2 User- and research practice- focused Developmental Unified design & development approaches Integrated solutions Collaboration Supporting small & large-scale research Support for single-disciplinary and multi- disciplinary research

28. Joint Information Systems Committee 4/16/2014 | | Slide 28 VRE2 Approach Contextual Analysis Integration Design Building Testing User Needs Analysis Change analysis Pilots System analysis Other Programmes & Initiatives Programme Evaluation e-Research Interoperability developer s users Community Engagement

29. Joint Information Systems Committee 4/16/2014 | | Slide 29 Sustainability JISC Open Source Advisory Service - OSS-Watch Open Middleware Infrastructure Institute UK –OMII-UK aims to provide software and support to enable a sustained future for the UK e-Science community and its international collaborators

30. Joint Information Systems Committee 4/16/2014 | | Slide 30 National Grid Service Systems Biology Neutron Scattering Econometric analysis Molecular Dynamics Text mining Climate modelling Neil Geddes

31. Joint Information Systems Committee 4/16/2014 | | Slide 31 e-Infrastructure Vision The £10 million e-Infrastructure programme is primarily concerned with consolidating and building on work to establish an e- infrastructure undertaken with other partners during the initial five- year investment in the UK e-science programme. e-Infrastructure embraces networks, security, grids, data centres, specialist services and collaborative environments, and can include supporting operations centres, service registries, single sign-on, certificate authorities, training and community support services. The range of e-Infrastructure developments is already maturing: grid computing is now typically used as a basis for the computation and data management required by collaborative research, and JISC investments such as in virtual research environments and Shibboleth are presently being adopted.

32. Joint Information Systems Committee 4/16/2014 | | Slide 32 Thematic Areas e-Infrastructure Security Grid Services and Tools Knowledge Organisation and Semantic Services Community Engagement and Support e-Infrastructure

33. Joint Information Systems Committee 4/16/2014 | | Slide 33 Closing Thoughts Early AdoptersEarly MajorityLate MajorityLaggardsInnovators

34. Joint Information Systems Committee 4/16/2014 | | Slide 34 Building on existing industry practices and emerging technologies Support ecosystems that promote collaboration and self-organisation Towards increased agility, lower cost, broader availability of services Empowering service providers, integrators and consumers of ICT (R)evolution of concepts from Web, Grid & Knowledge technologies Safe, ease and ubiquitous as existing utilities like electricity or water NGG3 A flexible, powerful and cost-efficient way of building, operating and evolving IT intensive solutions for business, science and society. Next Generation Grids Report 2005 Future for European Grids: GRIDs and Service Oriented Knowledge Utilities – Vision and Research Directions 2010 and Beyond, December 2006 Vision and Research Directions 2010 and Beyond, December 2006 Service-Oriented Knowledge Utility (SOKU)

35. Joint Information Systems Committee 4/16/2014 | | Slide 35 Take Homes JISC is about joining up, e-Science is about joining up – natural partners Connecting people to resources – the Grid of People –Datasets part of the infrastructure –Making things a utility Automating research –Interaction between human-driven and machine-driven processes Out of the lab, into The Wild - actually using stuff informs research

36. Joint Information Systems Committee 4/16/2014 | | Slide 36 The Message JISC is engaging with the research community –Using –Developing –Sustaining

37. Joint Information Systems Committee 4/16/2014 | | Slide 37 Credits Dan Atkins Jeremy Frey and Simon Coles Liz Lyon & eBank project Carole Goble Reagan Moore Mike Daw, Simon Buckingham Shum & Memetic project Angela Piccini Neil Geddes JISC!

38. Joint Information Systems Committee 4/16/2014 | | Slide 38 Further Information e-Infrastructure Programme - http://www.jisc.ac.uk/programme_einfrastructure.html http://www.jisc.ac.uk/programme_einfrastructure.html VRE Programme - http://www.jisc.ac.uk/programme_vre.htmlhttp://www.jisc.ac.uk/programme_vre.html VRE2 Programme - http://www.jisc.ac.uk/index.cfm?name=pub_vreroadmap http://www.jisc.ac.uk/index.cfm?name=pub_vreroadmap JISC Capital Programme - http://www.jisc.ac.uk/capital.htmlhttp://www.jisc.ac.uk/capital.html Next capital call (including Community Engagement) issued 29 th September Town Meeting to discuss this call on 11 th October Sign up to JISC-ANNOUNCE at http://www.jiscmail.ac.uk/cgi- bin/webadmin?SUBED1=jisc-announce&A=1 to get notification of future callshttp://www.jiscmail.ac.uk/cgi- bin/webadmin?SUBED1=jisc-announce&A=1