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The Future of Research (Science and Technology) Carole Goble [email_address] University of Manchester, UK OMII-UK British Library Board Awayday 23rd September 2008
 
Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Trypanosomiasis in Africa http://www.genomics.liv.ac.uk/tryps/trypsindex.html Andy Brass Steve Kemp Paul Fisher
Hypothesis driven research Now we add Data driven  Simulation / prediction driven Automated experiments Open “as you go” communication Team research New types of research output
Data intensive Science Data from observations Data from predictions through simulations and computer models Industrialised science
1070 databases,  Nucleic Acids Research Jan 2008 (96 in Jan 2001) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Growth of data,  regardless of discipline ,[object Object],[object Object],[object Object]
Large Hadron Collidor [Norbert Neumeister]
Why Data intensive Science? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Why Data Intensive Science? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Raw and Interpretive Data ,[object Object],[object Object],[object Object],[object Object],Primary  Data Primary  Data Primary Data Secondary Curated  Data Processed Data Secondary Curated  Data Secondary  Data Integrated data Processing  details Capture details Update revise Update revise revise revise
 
Data collection management ,[object Object],[object Object],[object Object],[object Object],[object Object]
Not  the end of theory! ,[object Object],[object Object],Data Theory Prediction Hypothesis
200 Genotype Phenotype Metabolic pathways Literature [Paul Fisher]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Automated processing of library content ,[object Object],[object Object],[object Object],[object Object],[object Object],http://www.myexperiment.org/workflows/172 Paul Fisher
Data driven research ,[object Object],[object Object],[object Object],[object Object],Ideas Data Synthesis / Induction Hypothesis Analysis / Deduction [Kell and Oliver]
Published. Eventually.
Reproducible, or rather “fully supported” Transparent science, Composite research components Methods Lab Books Preprints Data Video Blogs Podcasts Codes Algorithms Models Presentations Ontologies Intermediate Results Related  Articles Comments & Reviews Plans Models
Reproducible, or rather “fully supported” Transparent science, Composite research components Methods Lab Books Preprints Data Video Blogs Podcasts Codes Algorithms Models Presentations Ontologies Intermediate Results Related  Articles Comments & Reviews
Reproducible Science means context, quality, trust  means easy access to the sources
Methods are Scientific commodities ,[object Object],[object Object],[object Object],, http://myexperiment.org
120  Simulation tools 1,200  Seminars, podcasts, etc. 77,000  Users worldwide 550  Contributors Developed by the NSF Network for Computational Nanotechnology Online since October 2002 [Michael McLennan] http://nanoHUB.org
[Jean-Claude Bradley] http://usefulchem.wikispaces.com/
[object Object],[object Object],[object Object],1. A link brings up figures  from the paper 0. Full text of PLoS papers stored  in a database 2. Clicking the paper figure retrieves data from the PDB which is analyzed 3. A composite view of journal and database content results 4. The composite view has links to pertinent blocks  of literature text and back to the PDB 1. 2. 3. 4. The Knowledge and Data Cycle http://biolit.ucsd.edu [Phil Bourne]
ICTP Trieste, December 10, 2007 [Phil Bourne]
[Phil Bourne]
The reproducible and interactive research documents* Mixed stewardship research documents The recombinant, compound research documents The virtual research document Multi-versioned, dynamic research document *Papers, Books, whatever.  2020
Data, image, model, process, workflow, podcast, slideset* Finding, citation, peer review, preservation, identity, versioning, security, privacy, copyright management, format authority Authority on metadata descriptions  Propagation of descriptions * Insert new research commodity type here 2020
What does this mean for library services? Seamless interlinking of data, literature and other research commodities Integrated search across external resources Selective quality curation Hell is other people’s (lack of) semantic metadata 2020
Supporting Paul, The Scientist Search/Discover Serendipitous Finding Collaborative Searching Structural Search Keeping Current Gather Collecting Manage Organizing Create Annotating Review & Rate Describe Write Share Publish Sharing Rights Integrated search Automatic paper download Continual queries Paper recommendation Alert Project  and Personal  Internal search Refereed and Grey literature Tag, annotate, rate  Templates Multi-author authoring Bibliography management Version management Copyright tools (CC and SC) Linking up data, models and other components [Roger Barga]
Collaboration
(Virtual) Team Research ,[object Object],[object Object],[object Object],[object Object],[object Object],Studies of 19.9 million research articles over 5 decades as recorded in the Web of Science  database, and an additional 2.1 million patent records from 1975-2005. Using the Web of Science database to analyze the collaboration arrangements of over 4,000,000 papers over a 30 year period Sources: Wuchty, Jones, and Uzzi Noshir Contractor
Distributed [Helen Hulme]
Distributed and Collaborative .....skills-rich and  time-poor Biologists, Geneticists, Bioinformaticians, Immunologists, Microarray specialists, Computer Scientists, Mathematicians, Physicists..... [Helen Hulme]
[object Object],[object Object],[object Object],[Helen Hulme]
Virtual Research Environments 1 Collaboration Environments Science Gateways to data and computing grids Multi-authored document preparation
Multi-disciplinary ,[object Object],Classical Genetics / QTL studies Animal Experts Transcriptomics Parasite Experts Statistical modelling Text Analysis Image analysis Health Epidemiology
Crossing boundaries Interdisciplinary Support ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Virtual Research Environments 2 Social Professional Networking Expert finding
[Roger Barga]
The BL’s Research Information Centre
Open Science Collective Intelligence Researcher participation Commons based production Sharing Accelerated dissemination Embedded in the researchers environment and work practices
“ Long Tail” Science. “Hypo” Science ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Open content, services and software. Social tools for the social process of science.
[object Object],[object Object],[object Object],[object Object],[object Object],* formerly known as Semantic Web
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
http://www.wikipathways.org/
[Duncan Hull]
Growth of open access scientists digital natives, always online, hybrids catalysts for change [Phil Bourne]
Cameron Neylon’s chemistry notebook
Sharing reusable methods Paul Jo
Competitive advantage. Academic vanity. Reputation. Adoption. Scrutiny. Being scooped. Misinterpretation. New Reward Schemes Rewards Fears
What is the role of the library? Trusted curator  Trusted data manager Quality arbiter Knowledge disseminator Format authority Add value content provider Metadata / controlled vocabulary provider Add value service provider 2020
Services Embedding into the Researchers Workflow The Cloud
Personal Scientist-centric tooling ,[object Object],[object Object],[object Object],[object Object],Zotero Firefox plug-in
Hypothesis Construction  from the Literature Marco Roos, Scott Marshall , University of Amsterdam
Towards Automated Science Inspired by Jean-Claude Bradley Human Human Human Machine Machine Machine Quality Trust Ease Ubiquity We are here
Combining information on the web ,[object Object],[object Object],[object Object],[object Object],Allen Brain Atlas
http://info.scopus.com/scsearchapi/geoCitations/index.html
[object Object],[object Object],[object Object]
What does this mean for library services?  With not For Opening up to researcher’s tools and research environments for discovery, management and curation of research commodities Enabling and encouraging new services and new content to add new value Remove obstacles to interoperate and share Collaborate, don’t control
[object Object],[object Object],[object Object],Pervasive devices and the mixing up of virtual and real worlds
[object Object],[object Object],[object Object],[object Object],Based on an original idea by Phil Bourne
Questions? http://research.microsoft.com/towards2020science/
Extras
Other References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
http://research.microsoft.com/towards2020science/

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The Future of Research (Science and Technology)

  • 1. The Future of Research (Science and Technology) Carole Goble [email_address] University of Manchester, UK OMII-UK British Library Board Awayday 23rd September 2008
  • 2.  
  • 3.
  • 4. Trypanosomiasis in Africa http://www.genomics.liv.ac.uk/tryps/trypsindex.html Andy Brass Steve Kemp Paul Fisher
  • 5. Hypothesis driven research Now we add Data driven Simulation / prediction driven Automated experiments Open “as you go” communication Team research New types of research output
  • 6. Data intensive Science Data from observations Data from predictions through simulations and computer models Industrialised science
  • 7.
  • 8.
  • 9. Large Hadron Collidor [Norbert Neumeister]
  • 10.
  • 11.
  • 12.
  • 13.  
  • 14.
  • 15.
  • 16. 200 Genotype Phenotype Metabolic pathways Literature [Paul Fisher]
  • 17.
  • 18.
  • 19.
  • 21. Reproducible, or rather “fully supported” Transparent science, Composite research components Methods Lab Books Preprints Data Video Blogs Podcasts Codes Algorithms Models Presentations Ontologies Intermediate Results Related Articles Comments & Reviews Plans Models
  • 22. Reproducible, or rather “fully supported” Transparent science, Composite research components Methods Lab Books Preprints Data Video Blogs Podcasts Codes Algorithms Models Presentations Ontologies Intermediate Results Related Articles Comments & Reviews
  • 23. Reproducible Science means context, quality, trust means easy access to the sources
  • 24.
  • 25. 120 Simulation tools 1,200 Seminars, podcasts, etc. 77,000 Users worldwide 550 Contributors Developed by the NSF Network for Computational Nanotechnology Online since October 2002 [Michael McLennan] http://nanoHUB.org
  • 27.
  • 28. ICTP Trieste, December 10, 2007 [Phil Bourne]
  • 30. The reproducible and interactive research documents* Mixed stewardship research documents The recombinant, compound research documents The virtual research document Multi-versioned, dynamic research document *Papers, Books, whatever. 2020
  • 31. Data, image, model, process, workflow, podcast, slideset* Finding, citation, peer review, preservation, identity, versioning, security, privacy, copyright management, format authority Authority on metadata descriptions Propagation of descriptions * Insert new research commodity type here 2020
  • 32. What does this mean for library services? Seamless interlinking of data, literature and other research commodities Integrated search across external resources Selective quality curation Hell is other people’s (lack of) semantic metadata 2020
  • 33. Supporting Paul, The Scientist Search/Discover Serendipitous Finding Collaborative Searching Structural Search Keeping Current Gather Collecting Manage Organizing Create Annotating Review & Rate Describe Write Share Publish Sharing Rights Integrated search Automatic paper download Continual queries Paper recommendation Alert Project and Personal Internal search Refereed and Grey literature Tag, annotate, rate Templates Multi-author authoring Bibliography management Version management Copyright tools (CC and SC) Linking up data, models and other components [Roger Barga]
  • 35.
  • 37. Distributed and Collaborative .....skills-rich and time-poor Biologists, Geneticists, Bioinformaticians, Immunologists, Microarray specialists, Computer Scientists, Mathematicians, Physicists..... [Helen Hulme]
  • 38.
  • 39. Virtual Research Environments 1 Collaboration Environments Science Gateways to data and computing grids Multi-authored document preparation
  • 40.
  • 41.
  • 42. Virtual Research Environments 2 Social Professional Networking Expert finding
  • 44. The BL’s Research Information Centre
  • 45. Open Science Collective Intelligence Researcher participation Commons based production Sharing Accelerated dissemination Embedded in the researchers environment and work practices
  • 46.
  • 47. Open content, services and software. Social tools for the social process of science.
  • 48.
  • 49.
  • 50.
  • 53. Growth of open access scientists digital natives, always online, hybrids catalysts for change [Phil Bourne]
  • 56. Competitive advantage. Academic vanity. Reputation. Adoption. Scrutiny. Being scooped. Misinterpretation. New Reward Schemes Rewards Fears
  • 57. What is the role of the library? Trusted curator Trusted data manager Quality arbiter Knowledge disseminator Format authority Add value content provider Metadata / controlled vocabulary provider Add value service provider 2020
  • 58. Services Embedding into the Researchers Workflow The Cloud
  • 59.
  • 60. Hypothesis Construction from the Literature Marco Roos, Scott Marshall , University of Amsterdam
  • 61. Towards Automated Science Inspired by Jean-Claude Bradley Human Human Human Machine Machine Machine Quality Trust Ease Ubiquity We are here
  • 62.
  • 64.
  • 65. What does this mean for library services? With not For Opening up to researcher’s tools and research environments for discovery, management and curation of research commodities Enabling and encouraging new services and new content to add new value Remove obstacles to interoperate and share Collaborate, don’t control
  • 66.
  • 67.
  • 70.

Editor's Notes

  1. This presentation was made to the British Library Board Awayday on 22-24 September. as part of a discussion on their vision for 2020 The board are mostly not technical and many are not familiar with scientific research practice. The speakers before me were Kate Worlock and Charlie Leadbeater who had both spoken about the web 2.0 social and collective intelligence aspects of the Web and publishing. Charlie called this commons based production. http://www.bl.uk/ FUTURE OF PUBLISHING / SCHOLARLY COMMUNICATION Presentation and discussion led by Kate Worlock. SOCIAL IMPACT OF THE INTERNET IN THE 21ST CENTURY Presentation and discussion led by Charlie Leadbeater.