SlideShare a Scribd company logo
1 of 10
Download to read offline
Scientific Workflow Management System




                 Taverna,	
  Biocatalogue,	
  and	
  myExperiment:
                 a	
  three-­‐legged	
  founda;on	
  for	
  effec;ve	
  collabora;on
                 in	
  E-­‐science
                        A collaborative talk by Paolo Missier
                         Information Management Group
                         School of Computer Science, University of Manchester, UK


                                                         with additional material kindly shared by:
                               Prof. Dave DeRoure and David Newman, University of Southampton
                         Prof. Carole Goble and the e-Labs design group, University of Manchester
                                                                                                                           1
                                                                       GeoClouds workshop, Indianapolis, IN, Sept. 17, 2009 - P. Missier

Sunday, 13 March 2011
What is the myGrid Project?

           UK	
  e-­‐Science	
  pilot	
  project	
  since	
  2001.	
  
         Centred	
  at	
  Manchester,	
  Southampton	
  and	
  the	
  EMBL-­‐EBI
         Part	
  of	
  Open	
  Middleware	
  Infrastructure	
  InsEtute	
  UK	
  hFp://
          www.omii.ac.uk.	
  
         Mixture	
  of	
  developers,	
  bioinformaEcians	
  and	
  researchers
         An	
  alliance	
  of	
  contribuEng	
  projects	
  and	
  partners

         Open	
  source	
  development	
  and	
  content	
  LGPL	
  or	
  BSD
         Infrastructure

           We	
  don’t	
  own	
  any	
  resources	
  (apart	
  from	
  catalogues)
           Or	
  a	
  Grid.	
  

                                                                          ESIP meeting,Santa Barbara, CA, July 2009 - P. Missier

Sunday, 13 March 2011
Taverna

      Graphical	
  
      Workbench
      For	
  Professionals

      Plug-­‐in	
  architecture
      Nested	
  Workflows
      Drag	
  and	
  Drop
      Wiring	
  together

      Rapidly	
  incorporate	
  new	
  service	
  without	
  coding.	
  
      Not	
  restricted	
  to	
  predetermined	
  services
      Access	
  to	
  local	
  and	
  remote	
  resources	
  and	
  analysis	
  tools
      3500+	
  service	
  operaEons	
  available	
  when	
  start	
  up
                                                                 ESIP meeting,Santa Barbara, CA, July 2009 - P. Missier

Sunday, 13 March 2011
What do Scientists use Taverna for?

     Systems	
  biology	
  model	
  building     Netherlands	
  BioinformaEcs	
  Centre
                                                 Genome	
  Canada	
  BioinformaEcs	
  Plaaorm
     Proteomics
                                                 BioMOBY
     Sequence	
  analysis                        US	
  FLOSS	
  social	
  science	
  program
     Protein	
  structure	
  predicEon           RENCI
     Gene/protein	
  annotaEon	
                 SysMO	
  ConsorEum
     Microarray	
  data	
  analysis              French	
  SIGENAE	
  farm	
  animals	
  project
     QTL	
  studies                              ThaiGrid
                                                 CARMEN	
  Neuroscience	
  project
     QSAR	
  studies                             SPINE	
  consorEum
     Medical	
  image	
  analysis                EU	
  Enfin,	
  EMBRACE,	
  BioSapian,	
  Casimir
     Public	
  Health	
  care	
  epidemiology    EU	
  SysMO	
  ConsorEum
     Heart	
  model	
  simulaEons                NERC	
  Centre	
  for	
  Ecology	
  and	
  Hydrology
     High	
  throughput	
  screening             Bergen	
  Centre	
  for	
  ComputaEonal	
  Biology
                                                 Max-­‐Planck	
  insEtute	
  for	
  Plant	
  Breeding	
  Research
     Phenotypical	
  studies
                                                 Genoa	
  Cancer	
  Research	
  Centre
     Phylogeny                                   AstroGrid
     	
  	
  	
  	
  	
  StaEsEcal	
  analysis   	
  	
  	
  	
  	
  30	
  USA	
  academic	
  and	
  research	
  
     	
  	
  	
  	
  	
  Text	
  mining                              ins;tu;ons

     Astronomy,	
  Music,	
  Meteorology
                                                                             ESIP meeting,Santa Barbara, CA, July 2009 - P. Missier

Sunday, 13 March 2011
Who else is in this space?



                Trident                   Triana

                            Kepler


                                                          Ptolemy II



                 Taverna



                                                             BioExtract
                            BPEL




                                                                               5
                                     ESIP meeting,Santa Barbara, CA, July 2009 - P. Missier

Sunday, 13 March 2011
www.myexperiment.org
           Socially share,
           discover and reuse
           workflows and
           other methods.


           Cooperative bazaar.




l     Sunday	
  10th	
  May:
      1748	
  registered	
  users,	
  143	
  groups,	
  669	
  workflows,	
  197	
  files,	
  52	
  packs
      56	
  different	
  countries.	
  Top	
  4:	
  UK,	
  US,	
  The	
  Netherlands,	
  Germany
    Sunday, 13 March 2011
Sunday, 13 March 2011
Sunday, 13 March 2011
Why data provenance matters, if done right
           • To establish quality, relevance, trust
           • To track information attribution through complex transformations
           • To describe one’s experiment to others, for understanding / reuse
           • To provide evidence in support of scientific claims
           • To enable post hoc process analysis for improvement, re-design




           The W3C Incubator on Provenance has been collecting numerous use cases:
           http://www.w3.org/2005/Incubator/prov/wiki/Use_Cases#




                                                                 Linköping, Sweden -- January 2010


Sunday, 13 March 2011
Goals, expected contributions
          • Established technology provider - open-source
                – traditionally active in the bioinf space
                – but also involved in the e-Lico EU project (data mining
                  portal)
                – large community base, established production
                  environment


          • Main goal:
                – to offer our workflow and workflow repository technology,
                  put it to the test on the challenges of data preservation
                  pipelines


          • Challenges:
                – expect new requirements on our current technology
                   • robust, high-volume data pipelines
                   • workflow provenance -- process evolution
                                                                              10
                   • data provenance
Sunday, 13 March 2011

More Related Content

What's hot

Open Archives Initiative Object Re-Use & Exchange
Open Archives Initiative Object Re-Use & ExchangeOpen Archives Initiative Object Re-Use & Exchange
Open Archives Initiative Object Re-Use & Exchange
Herbert Van de Sompel
 
Munoz torres web-apollo-workshop_exeter-2014_ss
Munoz torres web-apollo-workshop_exeter-2014_ssMunoz torres web-apollo-workshop_exeter-2014_ss
Munoz torres web-apollo-workshop_exeter-2014_ss
Monica Munoz-Torres
 

What's hot (12)

Wikiomics
WikiomicsWikiomics
Wikiomics
 
The Seven Deadly Sins of Bioinformatics
The Seven Deadly Sins of BioinformaticsThe Seven Deadly Sins of Bioinformatics
The Seven Deadly Sins of Bioinformatics
 
Invited talk @ ESIP summer meeting, 2009
Invited talk @ ESIP summer meeting, 2009Invited talk @ ESIP summer meeting, 2009
Invited talk @ ESIP summer meeting, 2009
 
Bioschemas: Marking up biodiversity websites to improve data discovery and we...
Bioschemas: Marking up biodiversity websites to improve data discovery and we...Bioschemas: Marking up biodiversity websites to improve data discovery and we...
Bioschemas: Marking up biodiversity websites to improve data discovery and we...
 
Building Data
Building DataBuilding Data
Building Data
 
A biologist in e-Science
A biologist in e-ScienceA biologist in e-Science
A biologist in e-Science
 
Open Archives Initiative Object Re-Use & Exchange
Open Archives Initiative Object Re-Use & ExchangeOpen Archives Initiative Object Re-Use & Exchange
Open Archives Initiative Object Re-Use & Exchange
 
ISMB Workshop 2014
ISMB Workshop 2014ISMB Workshop 2014
ISMB Workshop 2014
 
Introduction to Ontologies for Environmental Biology
Introduction to Ontologies for Environmental BiologyIntroduction to Ontologies for Environmental Biology
Introduction to Ontologies for Environmental Biology
 
Towards Incidental Collaboratories; Research Data Services
Towards Incidental Collaboratories; Research Data ServicesTowards Incidental Collaboratories; Research Data Services
Towards Incidental Collaboratories; Research Data Services
 
Retrieving useful information from connected specimen- and data collections
Retrieving useful information from connected specimen- and data collectionsRetrieving useful information from connected specimen- and data collections
Retrieving useful information from connected specimen- and data collections
 
Munoz torres web-apollo-workshop_exeter-2014_ss
Munoz torres web-apollo-workshop_exeter-2014_ssMunoz torres web-apollo-workshop_exeter-2014_ss
Munoz torres web-apollo-workshop_exeter-2014_ss
 

Viewers also liked

Paper presentations: UK e-science AHM meeting, 2005
Paper presentations: UK e-science AHM meeting, 2005Paper presentations: UK e-science AHM meeting, 2005
Paper presentations: UK e-science AHM meeting, 2005
Paolo Missier
 
SWPM12 report on the dagstuhl seminar on Semantic Data Management
SWPM12 report on the dagstuhl seminar on Semantic Data Management SWPM12 report on the dagstuhl seminar on Semantic Data Management
SWPM12 report on the dagstuhl seminar on Semantic Data Management
Paolo Missier
 
Invited talk @ Cardiff University, 2008: Approximate entity reconciliation fo...
Invited talk @ Cardiff University, 2008: Approximate entity reconciliation fo...Invited talk @ Cardiff University, 2008: Approximate entity reconciliation fo...
Invited talk @ Cardiff University, 2008: Approximate entity reconciliation fo...
Paolo Missier
 
Your data won’t stay smart forever: exploring the temporal dimension of (big ...
Your data won’t stay smart forever:exploring the temporal dimension of (big ...Your data won’t stay smart forever:exploring the temporal dimension of (big ...
Your data won’t stay smart forever: exploring the temporal dimension of (big ...
Paolo Missier
 

Viewers also liked (17)

Session talk @ AGU09
Session talk @ AGU09Session talk @ AGU09
Session talk @ AGU09
 
PDT: Personal Data from Things, and its provenance
PDT: Personal Data from Things,and its provenancePDT: Personal Data from Things,and its provenance
PDT: Personal Data from Things, and its provenance
 
Paper presentations: UK e-science AHM meeting, 2005
Paper presentations: UK e-science AHM meeting, 2005Paper presentations: UK e-science AHM meeting, 2005
Paper presentations: UK e-science AHM meeting, 2005
 
Ipaw12 datalog paper talk
Ipaw12 datalog paper talkIpaw12 datalog paper talk
Ipaw12 datalog paper talk
 
SWPM12 report on the dagstuhl seminar on Semantic Data Management
SWPM12 report on the dagstuhl seminar on Semantic Data Management SWPM12 report on the dagstuhl seminar on Semantic Data Management
SWPM12 report on the dagstuhl seminar on Semantic Data Management
 
Structured Occurrence Network for provenance: talk for ipaw12 paper
Structured Occurrence Network for provenance: talk for ipaw12 paperStructured Occurrence Network for provenance: talk for ipaw12 paper
Structured Occurrence Network for provenance: talk for ipaw12 paper
 
Paper talk (presented by Prof. Ludaescher), WORKS workshop, 2010
Paper talk (presented by Prof. Ludaescher), WORKS workshop, 2010Paper talk (presented by Prof. Ludaescher), WORKS workshop, 2010
Paper talk (presented by Prof. Ludaescher), WORKS workshop, 2010
 
Paper talk @ EDBT'10: Fine-grained and efficient lineage querying of collecti...
Paper talk @ EDBT'10: Fine-grained and efficient lineage querying of collecti...Paper talk @ EDBT'10: Fine-grained and efficient lineage querying of collecti...
Paper talk @ EDBT'10: Fine-grained and efficient lineage querying of collecti...
 
C4Bio paper talk
C4Bio paper talkC4Bio paper talk
C4Bio paper talk
 
Invited talk @ DCC09 workshop
Invited talk @ DCC09 workshopInvited talk @ DCC09 workshop
Invited talk @ DCC09 workshop
 
Invited talk @ Cardiff University, 2008: Approximate entity reconciliation fo...
Invited talk @ Cardiff University, 2008: Approximate entity reconciliation fo...Invited talk @ Cardiff University, 2008: Approximate entity reconciliation fo...
Invited talk @ Cardiff University, 2008: Approximate entity reconciliation fo...
 
ProvAbs: model, policy, and tooling for abstracting PROV graphs
ProvAbs: model, policy, and tooling for abstracting PROV graphsProvAbs: model, policy, and tooling for abstracting PROV graphs
ProvAbs: model, policy, and tooling for abstracting PROV graphs
 
Your data won’t stay smart forever: exploring the temporal dimension of (big ...
Your data won’t stay smart forever:exploring the temporal dimension of (big ...Your data won’t stay smart forever:exploring the temporal dimension of (big ...
Your data won’t stay smart forever: exploring the temporal dimension of (big ...
 
Big Data Quality Panel : Diachron Workshop @EDBT
Big Data Quality Panel: Diachron Workshop @EDBTBig Data Quality Panel: Diachron Workshop @EDBT
Big Data Quality Panel : Diachron Workshop @EDBT
 
The lifecycle of reproducible science data and what provenance has got to do ...
The lifecycle of reproducible science data and what provenance has got to do ...The lifecycle of reproducible science data and what provenance has got to do ...
The lifecycle of reproducible science data and what provenance has got to do ...
 
Cloud e-Genome: NGS Workflows on the Cloud Using e-Science Central
Cloud e-Genome: NGS Workflows on the Cloud Using e-Science CentralCloud e-Genome: NGS Workflows on the Cloud Using e-Science Central
Cloud e-Genome: NGS Workflows on the Cloud Using e-Science Central
 
Paper presentation @DILS'07
Paper presentation @DILS'07Paper presentation @DILS'07
Paper presentation @DILS'07
 

Similar to Invited talk at the GeoClouds Workshop, Indianapolis, 2009

wolstencroft-ogf20-astro
wolstencroft-ogf20-astrowolstencroft-ogf20-astro
wolstencroft-ogf20-astro
webuploader
 
Web Apollo at Genome Informatics 2014
Web Apollo at Genome Informatics 2014Web Apollo at Genome Informatics 2014
Web Apollo at Genome Informatics 2014
Monica Munoz-Torres
 
012517 ResumeJH Amex DS-ML
012517 ResumeJH Amex DS-ML012517 ResumeJH Amex DS-ML
012517 ResumeJH Amex DS-ML
Jeremy Hadidjojo
 

Similar to Invited talk at the GeoClouds Workshop, Indianapolis, 2009 (20)

The Evolution of e-Research: Machines, Methods and Music
The Evolution of e-Research: Machines, Methods and MusicThe Evolution of e-Research: Machines, Methods and Music
The Evolution of e-Research: Machines, Methods and Music
 
Evolution of e-Research
Evolution of e-ResearchEvolution of e-Research
Evolution of e-Research
 
eScience-School-Oct2012-Campinas-Brazil
eScience-School-Oct2012-Campinas-BrazileScience-School-Oct2012-Campinas-Brazil
eScience-School-Oct2012-Campinas-Brazil
 
ContentMining in Neuroscience
ContentMining in NeuroscienceContentMining in Neuroscience
ContentMining in Neuroscience
 
Reproducibility (and the R*) of Science: motivations, challenges and trends
Reproducibility (and the R*) of Science: motivations, challenges and trendsReproducibility (and the R*) of Science: motivations, challenges and trends
Reproducibility (and the R*) of Science: motivations, challenges and trends
 
New e-Science Edinburgh Late Edition
New e-Science Edinburgh Late EditionNew e-Science Edinburgh Late Edition
New e-Science Edinburgh Late Edition
 
wolstencroft-ogf20-astro
wolstencroft-ogf20-astrowolstencroft-ogf20-astro
wolstencroft-ogf20-astro
 
The Symbiotic Nature of Provenance and Workflow
The Symbiotic Nature of Provenance and WorkflowThe Symbiotic Nature of Provenance and Workflow
The Symbiotic Nature of Provenance and Workflow
 
ISA - a short overview - Dec 2013
ISA - a short overview - Dec 2013ISA - a short overview - Dec 2013
ISA - a short overview - Dec 2013
 
Processing Amplicon Sequence Data for the Analysis of Microbial Communities
Processing Amplicon Sequence Data for the Analysis of Microbial CommunitiesProcessing Amplicon Sequence Data for the Analysis of Microbial Communities
Processing Amplicon Sequence Data for the Analysis of Microbial Communities
 
Web Apollo at Genome Informatics 2014
Web Apollo at Genome Informatics 2014Web Apollo at Genome Informatics 2014
Web Apollo at Genome Informatics 2014
 
B4OS-2012
B4OS-2012B4OS-2012
B4OS-2012
 
Acting as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decadeActing as Advocate? Seven steps for libraries in the data decade
Acting as Advocate? Seven steps for libraries in the data decade
 
The case for cloud computing in Life Sciences
The case for cloud computing in Life SciencesThe case for cloud computing in Life Sciences
The case for cloud computing in Life Sciences
 
DCC Keynote 2007
DCC Keynote 2007DCC Keynote 2007
DCC Keynote 2007
 
Web Apollo: Lessons learned from community-based biocuration efforts.
Web Apollo: Lessons learned from community-based biocuration efforts.Web Apollo: Lessons learned from community-based biocuration efforts.
Web Apollo: Lessons learned from community-based biocuration efforts.
 
Supporting researchers in the molecular life sciences Jeff Christiansen
Supporting researchers in the molecular life sciences Jeff Christiansen Supporting researchers in the molecular life sciences Jeff Christiansen
Supporting researchers in the molecular life sciences Jeff Christiansen
 
012517 ResumeJH Amex DS-ML
012517 ResumeJH Amex DS-ML012517 ResumeJH Amex DS-ML
012517 ResumeJH Amex DS-ML
 
2016 davis-plantbio
2016 davis-plantbio2016 davis-plantbio
2016 davis-plantbio
 
E research overview gahegan bioinformatics workshop 2010
E research overview gahegan bioinformatics workshop 2010E research overview gahegan bioinformatics workshop 2010
E research overview gahegan bioinformatics workshop 2010
 

More from Paolo Missier

Data-centric AI and the convergence of data and model engineering: opportunit...
Data-centric AI and the convergence of data and model engineering:opportunit...Data-centric AI and the convergence of data and model engineering:opportunit...
Data-centric AI and the convergence of data and model engineering: opportunit...
Paolo Missier
 
Tracking trajectories of multiple long-term conditions using dynamic patient...
Tracking trajectories of  multiple long-term conditions using dynamic patient...Tracking trajectories of  multiple long-term conditions using dynamic patient...
Tracking trajectories of multiple long-term conditions using dynamic patient...
Paolo Missier
 

More from Paolo Missier (20)

Towards explanations for Data-Centric AI using provenance records
Towards explanations for Data-Centric AI using provenance recordsTowards explanations for Data-Centric AI using provenance records
Towards explanations for Data-Centric AI using provenance records
 
Interpretable and robust hospital readmission predictions from Electronic Hea...
Interpretable and robust hospital readmission predictions from Electronic Hea...Interpretable and robust hospital readmission predictions from Electronic Hea...
Interpretable and robust hospital readmission predictions from Electronic Hea...
 
Data-centric AI and the convergence of data and model engineering: opportunit...
Data-centric AI and the convergence of data and model engineering:opportunit...Data-centric AI and the convergence of data and model engineering:opportunit...
Data-centric AI and the convergence of data and model engineering: opportunit...
 
Realising the potential of Health Data Science: opportunities and challenges ...
Realising the potential of Health Data Science:opportunities and challenges ...Realising the potential of Health Data Science:opportunities and challenges ...
Realising the potential of Health Data Science: opportunities and challenges ...
 
Provenance Week 2023 talk on DP4DS (Data Provenance for Data Science)
Provenance Week 2023 talk on DP4DS (Data Provenance for Data Science)Provenance Week 2023 talk on DP4DS (Data Provenance for Data Science)
Provenance Week 2023 talk on DP4DS (Data Provenance for Data Science)
 
A Data-centric perspective on Data-driven healthcare: a short overview
A Data-centric perspective on Data-driven healthcare: a short overviewA Data-centric perspective on Data-driven healthcare: a short overview
A Data-centric perspective on Data-driven healthcare: a short overview
 
Capturing and querying fine-grained provenance of preprocessing pipelines in ...
Capturing and querying fine-grained provenance of preprocessing pipelines in ...Capturing and querying fine-grained provenance of preprocessing pipelines in ...
Capturing and querying fine-grained provenance of preprocessing pipelines in ...
 
Tracking trajectories of multiple long-term conditions using dynamic patient...
Tracking trajectories of  multiple long-term conditions using dynamic patient...Tracking trajectories of  multiple long-term conditions using dynamic patient...
Tracking trajectories of multiple long-term conditions using dynamic patient...
 
Delivering on the promise of data-driven healthcare: trade-offs, challenges, ...
Delivering on the promise of data-driven healthcare: trade-offs, challenges, ...Delivering on the promise of data-driven healthcare: trade-offs, challenges, ...
Delivering on the promise of data-driven healthcare: trade-offs, challenges, ...
 
Digital biomarkers for preventive personalised healthcare
Digital biomarkers for preventive personalised healthcareDigital biomarkers for preventive personalised healthcare
Digital biomarkers for preventive personalised healthcare
 
Digital biomarkers for preventive personalised healthcare
Digital biomarkers for preventive personalised healthcareDigital biomarkers for preventive personalised healthcare
Digital biomarkers for preventive personalised healthcare
 
Data Provenance for Data Science
Data Provenance for Data ScienceData Provenance for Data Science
Data Provenance for Data Science
 
Capturing and querying fine-grained provenance of preprocessing pipelines in ...
Capturing and querying fine-grained provenance of preprocessing pipelines in ...Capturing and querying fine-grained provenance of preprocessing pipelines in ...
Capturing and querying fine-grained provenance of preprocessing pipelines in ...
 
Quo vadis, provenancer?  Cui prodest?  our own trajectory: provenance of data...
Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data...Quo vadis, provenancer? Cui prodest? our own trajectory: provenance of data...
Quo vadis, provenancer?  Cui prodest?  our own trajectory: provenance of data...
 
Data Science for (Health) Science: tales from a challenging front line, and h...
Data Science for (Health) Science:tales from a challenging front line, and h...Data Science for (Health) Science:tales from a challenging front line, and h...
Data Science for (Health) Science: tales from a challenging front line, and h...
 
Analytics of analytics pipelines: from optimising re-execution to general Dat...
Analytics of analytics pipelines:from optimising re-execution to general Dat...Analytics of analytics pipelines:from optimising re-execution to general Dat...
Analytics of analytics pipelines: from optimising re-execution to general Dat...
 
ReComp: optimising the re-execution of analytics pipelines in response to cha...
ReComp: optimising the re-execution of analytics pipelines in response to cha...ReComp: optimising the re-execution of analytics pipelines in response to cha...
ReComp: optimising the re-execution of analytics pipelines in response to cha...
 
ReComp, the complete story: an invited talk at Cardiff University
ReComp, the complete story:  an invited talk at Cardiff UniversityReComp, the complete story:  an invited talk at Cardiff University
ReComp, the complete story: an invited talk at Cardiff University
 
Efficient Re-computation of Big Data Analytics Processes in the Presence of C...
Efficient Re-computation of Big Data Analytics Processes in the Presence of C...Efficient Re-computation of Big Data Analytics Processes in the Presence of C...
Efficient Re-computation of Big Data Analytics Processes in the Presence of C...
 
Decentralized, Trust-less Marketplace for Brokered IoT Data Trading using Blo...
Decentralized, Trust-less Marketplacefor Brokered IoT Data Tradingusing Blo...Decentralized, Trust-less Marketplacefor Brokered IoT Data Tradingusing Blo...
Decentralized, Trust-less Marketplace for Brokered IoT Data Trading using Blo...
 

Recently uploaded

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 

Recently uploaded (20)

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 

Invited talk at the GeoClouds Workshop, Indianapolis, 2009

  • 1. Scientific Workflow Management System Taverna,  Biocatalogue,  and  myExperiment: a  three-­‐legged  founda;on  for  effec;ve  collabora;on in  E-­‐science A collaborative talk by Paolo Missier Information Management Group School of Computer Science, University of Manchester, UK with additional material kindly shared by: Prof. Dave DeRoure and David Newman, University of Southampton Prof. Carole Goble and the e-Labs design group, University of Manchester 1 GeoClouds workshop, Indianapolis, IN, Sept. 17, 2009 - P. Missier Sunday, 13 March 2011
  • 2. What is the myGrid Project?  UK  e-­‐Science  pilot  project  since  2001.    Centred  at  Manchester,  Southampton  and  the  EMBL-­‐EBI  Part  of  Open  Middleware  Infrastructure  InsEtute  UK  hFp:// www.omii.ac.uk.    Mixture  of  developers,  bioinformaEcians  and  researchers  An  alliance  of  contribuEng  projects  and  partners  Open  source  development  and  content  LGPL  or  BSD  Infrastructure  We  don’t  own  any  resources  (apart  from  catalogues)  Or  a  Grid.   ESIP meeting,Santa Barbara, CA, July 2009 - P. Missier Sunday, 13 March 2011
  • 3. Taverna Graphical   Workbench For  Professionals Plug-­‐in  architecture Nested  Workflows Drag  and  Drop Wiring  together Rapidly  incorporate  new  service  without  coding.   Not  restricted  to  predetermined  services Access  to  local  and  remote  resources  and  analysis  tools 3500+  service  operaEons  available  when  start  up ESIP meeting,Santa Barbara, CA, July 2009 - P. Missier Sunday, 13 March 2011
  • 4. What do Scientists use Taverna for? Systems  biology  model  building Netherlands  BioinformaEcs  Centre Genome  Canada  BioinformaEcs  Plaaorm Proteomics BioMOBY Sequence  analysis US  FLOSS  social  science  program Protein  structure  predicEon RENCI Gene/protein  annotaEon   SysMO  ConsorEum Microarray  data  analysis French  SIGENAE  farm  animals  project QTL  studies ThaiGrid CARMEN  Neuroscience  project QSAR  studies SPINE  consorEum Medical  image  analysis EU  Enfin,  EMBRACE,  BioSapian,  Casimir Public  Health  care  epidemiology EU  SysMO  ConsorEum Heart  model  simulaEons NERC  Centre  for  Ecology  and  Hydrology High  throughput  screening Bergen  Centre  for  ComputaEonal  Biology Max-­‐Planck  insEtute  for  Plant  Breeding  Research Phenotypical  studies Genoa  Cancer  Research  Centre Phylogeny AstroGrid          StaEsEcal  analysis          30  USA  academic  and  research            Text  mining ins;tu;ons Astronomy,  Music,  Meteorology ESIP meeting,Santa Barbara, CA, July 2009 - P. Missier Sunday, 13 March 2011
  • 5. Who else is in this space? Trident Triana Kepler Ptolemy II Taverna BioExtract BPEL 5 ESIP meeting,Santa Barbara, CA, July 2009 - P. Missier Sunday, 13 March 2011
  • 6. www.myexperiment.org Socially share, discover and reuse workflows and other methods. Cooperative bazaar. l Sunday  10th  May: 1748  registered  users,  143  groups,  669  workflows,  197  files,  52  packs 56  different  countries.  Top  4:  UK,  US,  The  Netherlands,  Germany Sunday, 13 March 2011
  • 9. Why data provenance matters, if done right • To establish quality, relevance, trust • To track information attribution through complex transformations • To describe one’s experiment to others, for understanding / reuse • To provide evidence in support of scientific claims • To enable post hoc process analysis for improvement, re-design The W3C Incubator on Provenance has been collecting numerous use cases: http://www.w3.org/2005/Incubator/prov/wiki/Use_Cases# Linköping, Sweden -- January 2010 Sunday, 13 March 2011
  • 10. Goals, expected contributions • Established technology provider - open-source – traditionally active in the bioinf space – but also involved in the e-Lico EU project (data mining portal) – large community base, established production environment • Main goal: – to offer our workflow and workflow repository technology, put it to the test on the challenges of data preservation pipelines • Challenges: – expect new requirements on our current technology • robust, high-volume data pipelines • workflow provenance -- process evolution 10 • data provenance Sunday, 13 March 2011