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Communicating Systems Biology –
Why and How We Should Do Better
       in a Digital World ?

             Philip E. Bourne
    University of California San Diego
          pbourne@ucsd.edu
      http://www.slideshare.net/pebourne/



                 ICBP Houston April 27, 2012
Why We Should Do Better

• Discovery processes are increasingly complex
  and broad in scope
• Data must be connected more closely to the
  methods under study
• Science is an increasingly social endeavor


                http://www.discoveryinformaticsinitiative.org/
                Yolanda Gil and Haym Hirsch

                   ICBP Houston April 27, 2012
Why We Should Do Better
The Scientific Process is Too Slow to Respond to
      a Crisis – Either Global or Personal

             By the time the paper is published
             we could all be dead




                                                 http://knol.google.com/k/plos-currents-influenza#
                   ICBP Houston April 27, 2012
                                                                                            Motivation
In a time of crisis the need for fast access
to accurate data and any knowledge associated
with that data are paramount




   Structure Summary page activity for
   H1N1 Influenza related structures

       Jan. 2008      Jul. 2008        Jan. 2009        Jul. 2009     Jan. 2010   Jul. 2010

         3B7E: Neuraminidase of A/Brevig Mission/1/1918
         H1N1 strain in complex with zanamivir




         1RUZ: 1918 H1 Hemagglutinin




                   * http://www.cdc.gov/h1n1flu/estimates/April_March_13.htm
                                        ICBP Houston April 27, 2012
                                                                                              Motivation
If that is not enough…

 For some people the scientific
process may be too slow to save
           their life



           ICBP Houston April 27, 2012
                                         Motivation
Josh Sommer – A Remarkable Young Man
Co-founder & Executive Director the Chordoma Foundation




                                                   http://sagecongress.org/Presentations/Sommer.pdf
                     ICBP Houston April 27, 2012
                                                                                         Motivation
Chordoma
                                                               • A rare form of brain
                                                                 cancer
                                                               • No known drugs
                                                               • Treatment – surgical
                                                                 resection followed by
                                                                 intense radiation
                                                                 therapy


http://upload.wikimedia.org/wikipedia/commons/2/2b/Chordoma.JPG



                                               ICBP Houston April 27, 2012
                                                                                         Motivation
http://sagecongress.org/Presentations/Sommer.pdf




ICBP Houston April 27, 2012
                                                                    Motivation
http://sagecongress.org/Presentations/Sommer.pdf


ICBP Houston April 27, 2012
                                                                    Motivation
http://sagecongress.org/Presentations/Sommer.pdf

ICBP Houston April 27, 2012
                                                                    Motivation
http://sagecongress.org/Presentations/Sommer.pdf

ICBP Houston April 27, 2012
                                                                    Motivation
http://sagecongress.org/Presentations/Sommer.pdf

ICBP Houston April 27, 2012
                                                                    Motivation
http://fora.tv/2010/04/23/Sage_Commons_Josh_Sommer_Chordoma_Foundation




ICBP Houston April 27, 2012
                                                               Motivation
Science is an Increasingly Social
            Endeavor

Witness the Story of Meredith




            ICBP Houston April 27, 2012
A Requirement is More Open Science
              But ….




             ICBP Houston April 27, 2012
Openness is Misunderstood by
              Scientists


• Witness the confusion regarding open access

• Witness PubMed Central




                  ICBP Houston April 27, 2012
What Are the Impediments to Open
            Science?

Change                                      Reward




   You don’t get tenure for starting
                a blog!
              ICBP Houston April 27, 2012
How Can We Do Better? …




        ICBP Houston April 27, 2012
How Can We Do Better?
• Better communication, data and knowledge access,
  and new modes of discovery, which means:
   – We need data and knowledge about that data to
     interoperate i.e. we need new kinds of fast, versatile
     publications and data archives
   – We need to be more open with both
   – We need to think more about the tools that analyze,
     visualize and annotate data to maximize knowledge
     discovery
   – Reward systems need to change
   – We need scientist management and discovery tools
   – We need to be less fixated on the big data problems
   – We need to unleash the full power of the Internet

                         ICBP Houston April 27, 2012   Easy   Hard
Both Are Under Stress




• PubMed contains ~21M         • 1330 databases
  entries (May 2011)             reported in NAR 2011
• ~100,000 papers indexed      • MetaBase
  per month                      http://biodatabase.org
• In Feb 2009:                   reports 2,651 entries
   – 67,406,898 interactive
                                 edited 12,587 times
     searches were done
   – 92,216,786 entries were
     viewed

                                            PLoS Comp. Biol. 2005 1(3) e34
Some More Comparisons



    • Journals have a pretty        • Efforts to make the
      standardized interface          interfaces different!
                                    • Little attempt at a
    • Journals have a business
                                      business model
      model                           compared to the Web 2.0
    • The quality is declining as     world
      numbers increase (?)          • Quality is increasing (?)
    • Audience believes they        • Not well sustained
      are sustainable


Databases versus journals           PLoS Comp. Biol. 2008. 4(7): e1000136
We Need Data and
      The Knowledge and Data Cycle                                             Knowledge About That
0. Full text of PLoS papers stored          4. The composite view has
           in a database                     links to pertinent blocks          Data to Interoperate
                                     of literature text and back to the PDB

                                                                               1. User clicks on content
                                       4.
                                                                               2. Metadata and
                                                                                  webservices to data
                                                                                  provide an interactive
     1.                                                                           view that can be
                                      3. A composite view of
 1. A link brings up figures
       from the paper                  journal and database
                                          content results
                                                                                  annotated
                                                                     3.
                                                                               3. Selecting features
                                                                                  provides a
                                                                                  data/knowledge
                                                                                  mashup
                  2.                                                           4. Analysis leads to new
                                      2. Clicking the paper figure retrieves
                                           data from the PDB which is
                                                                                  content I can share
                                                     analyzed
                                                                                    PLoS Comp. Biol. 2005 1(3) e34
We Need Data and Knowledge About That
Data to Interoperate – What is Stopping Us?

• Governance – publishers vs. database
  providers
• Reward
• Metadata standards for provenance, privacy
  etc.
• Exemplars
• ….
   Caveat: Each discipline is different – I speak very much from a biomedical
                               sciences perspective
                              ICBP Houston April 27, 2012
A Small Example - The World Wide
                      Protein Data Bank
                                                • The single worldwide
                                                  repository for data on
                                                  the structure of
                                                  biological
                                                  macromolecules
                                                • Vital for drug discovery
                                                  and the life sciences
                                                • 41 years old
                                                • Free to all
             http://www.wwpdb.org

                                 ICBP Houston April 27, 2012
PLoS Comp. Biol. 2005 1(3) e34
                                                          We need data and knowledge about that data to interoperate
The World Wide Protein Data Bank –
                The Best Case Scenario
                                                • Paper not published
                                                  unless data are
                                                  deposited – strong data
                                                  to literature
                                                  correspondence
                                                • Highly structured data
                                                  conforming to extensive
                                                  ontologies
                                                • DOI’s assigned to every
                                                  structure
         http://www.wwpdb.org

                                 ICBP Houston April 27, 2012
PLoS Comp. Biol. 2005 1(3) e34
                                                          We need data and knowledge about that data to interoperate
Example Interoperability: The Database View
          www.rcsb.org/pdb/explore/literature.do?structureId=1TIM




                                 ICBP Houston April 27, 2012
BMC Bioinformatics 2010 11:220                           We need data and knowledge about that data to interoperate
Example Interoperability: The Literature View
                      http://biolit.ucsd.edu




                                              ICBP Houston April 27, 2012
Nucleic Acids Research 2008 36(S2) W385-389
                                                                        We need data and knowledge about that data to interoperate
Semantic Tagging & Widgets are a
Powerful Tool to Integrate Data and
Knowledge of that Data, But as Yet
         Not Used Much




      Will Widgets and Semantic Tagging Change Computational Biology?
                        PLoS Comp. Biol. 6(2) e1000673




                            ICBP Houston April 27, 2012
                                                    We need data and knowledge about that data to interoperate
Semantic Tagging of Database Content
        in The Literature or Elsewhere




                   ICBP Houston April http://www.rcsb.org/pdb/static.do?p=widgets/widgetShowcase.jsp
                                      27, 2012
Semantic Tagging                                                        PLoS Comp. Biol. 6(2) e1000673
Where Will It All End?
http://richard.cyganiak.de/2007/10/lod/lod-datasets_2010-09-22_colored.html




                            ICBP Houston April 27, 2012
This is Literature Post-processing
       Better to Get the Authors Involved


• Authors are the absolute experts on the
  content

• More effective distribution of labor

• Add metadata before the article enters the
  publishing process
                   ICBP Houston April 27, 2012
                                           We need data and knowledge about that data to interoperate
Word Add-in for Authors
• Allows authors to add metadata as they write, before they
  submit the manuscript
• Authors are assisted by automated term recognition
   – OBO ontologies
   – Database IDs
• Metadata are embedded directly into the manuscript
  document via XML tags, OOXML format
   – Open
   – Machine-readable


• Open source, Microsoft Public License
                                             http://www.codeplex.com/ucsdbiolit
                        ICBP Houston April 27, 2012
                                                 We need data and knowledge about that data to interoperate
Challenges


• Authors
  – Carrot IF one or more publishers fast tracked a
    paper that had semantic markup it might catch on


• Publishers
  – Carrot Competitive advantage




                   ICBP Houston April 27, 2012
                                           We need data and knowledge about that data to interoperate
The Promise – A Hypothetical Example


 Cardiac Disease
 Literature




                                                        Immunology Literature



                                            Shared Function

                   ICBP Houston April 27, 2012
                                            We need data and knowledge about that data to interoperate
How Can We Do Better?
• Better communication, data and knowledge access,
  and new modes of discovery, which means:
   – We need data and knowledge about that data to
     interoperate i.e. we need new kinds of fast, versatile
     publications and data archives
   – We need to be more open with both
   – We need to think more about the tools that analyze,
     visualize and annotate data to maximize knowledge
     discovery
   – Reward systems need to change
   – We need scientist management and discovery tools
   – We need to be less fixated on the big data problems
   – We need to unleash the full power of the Internet

                         ICBP Houston April 27, 2012   Easy   Hard
One Small Example of the Problem
                            • jMol, VMD … are de facto
                              standard important tools
                              for rendering biological
                              molecules .. but
                            • They are not versatile ie
                              do not for example:
                                   – Respond to the data they
                                     are reading
                                   – Offer views that match the
                                     users interests
                                   – Allow the user to annotate
                                     the data
                                   – Allow those annotations to
                                     be shared (published?)

            ICBP Houston April 27, 2012
                                                    Think More About the Tools
Github is Great But We Need Apps for
                      Science




Computational Biology Resources Lack Persistence and Usability. PLoS
Comp. Biol. 2008 4(7): e1000136
A Few Things to Accelerate the Rate of
         Scientific Discovery
• Better communication, data and knowledge access,
  and new modes of discovery, which means:
   – We need data and knowledge about that data to
     interoperate i.e. we need new kinds of fast, versatile
     publications and data archives
   – We need to be more open with both
   – We need to think more about the tools that analyze,
     visualize and annotate data to maximize knowledge
     discovery
   – Reward systems need to change
   – We need scientist management tools
   – We need to be less fixated on the big data problems
   – We need to unleash the full power of the Internet

                         ICBP Houston April 27, 2012   Easy   Hard
Reward Systems Need to Change
          What is Needed?
• Author disambiguation
• Auditing (identification and metrics) of all
  scholarship - means new tools
• Seniors need to promote alternative forms of
  scholarship
• Juniors need to respond

                  Ten Simple Rules for Getting Promoted as a Computational Biologist in Academia
                  PLoS Comp Biol 2011 7(10 e1002001




                   ICBP Houston April 27, 2012
                                                                      Reward Systems Need to Change
What Are these Alternative Forms of
                Scholarship?
Reviews                                                         Curation

                      Research
                      [Grants]
           Journal                                 Poster
           Article                                 Session

                     Conference
                       Paper

                                                              Blogs
Community Service/Data
                     ICBP Houston April 27, 2012
                                                         Reward Systems Need to Change
ICBP Houston April 27, 2012
                              Reward Systems Need to Change
A Unique Identifier is Going to Happen
                              • It is DOIs for people
                              • Some scientists will
                                resist
                              • The winner is ORCID?




              ICBP Houston April 27, 2012
                                            Reward Systems Need to Change
Ideally the ID will be Tagged to Every
 Piece of Scholarly Communication




                         I an Not a Scientist I am a Number
                         PLoS Comp. Biol. 2008 4(12) e1000247




              ICBP Houston April 27, 2012
                                                  Reward Systems Need to Change
One Solution:
Use the Traditional Reward System in New Ways
    The Wikipedia Experiment – Topic Pages


                                • Identify areas of Wikipedia that
                                  relate to the journal that are
                                  missing of stubs
                                • Develop a Wikipedia page in the
                                  sandbox
                                • Have a Topic Page Editor review
                                  the page
                                • Publish the copy of record with
                                  associated rewards
                                • Release the living version into
                                  Wikipedia


              ICBP Houston April 27, 2012
How Can We Do Better?
• Better communication, data and knowledge access,
  and new modes of discovery, which means:
   – We need data and knowledge about that data to
     interoperate i.e. we need new kinds of fast, versatile
     publications and data archives
   – We need to be more open with both
   – We need to think more about the tools that analyze,
     visualize and annotate data to maximize knowledge
     discovery
   – Reward systems need to change
   – We need scientist management and discovery tools
   – We need to be less fixated on the big data problems
   – We need to unleash the full power of the Internet

                         ICBP Houston April 27, 2012   Easy   Hard
The Truth About My Laboratory
                          • I have ?? mail folders!

                          • The intellectual
                            memory of my
                            laboratory is in those
                            folders

                          • This is an unhealthy hub
                            and spoke mentality

          ICBP Houston April 27, 2012
                                        We Need Scientist Management Tools
The Truth About My Laboratory
     • I generate way more negative that
       positive data, but where is it?
     • Content management is a mess
            – Slides, posters…..
            – Data, lab notebooks ….
            – Collaborations, Journal clubs …
     • Software is open but where is it?                                                http://artbyvida.com/portfolio.php


     • Farewell is for the data too
Computational Biology Resources Lack Persistence and Usability. PLoS
Comp. Biol. 2008 4(7): e1000136
                                                      ICBP Houston April 27, 2012
                                                                                    We Need Scientist Management Tools
Many Great Tools Out There

                                       Taverna




         ICBP Houston April 27, 2012
                                       We Need Scientist Management Tools
The Dream of Discovery Informatics
• At the end of the day a software agent reviews
  all of our labs electronic notebooks. Common
  themes and individual interests are extracted
  and searched against recent literature, public
  data, blogs, other social media and results
  returned and ranked for perusal next morning
  over coffee.



                  ICBP Houston April 27, 2012
How Can We Do Better?
• Better communication, data and knowledge access,
  and new modes of discovery, which means:
   – We need data and knowledge about that data to
     interoperate i.e. we need new kinds of fast, versatile
     publications and data archives
   – We need to be more open with both
   – We need to think more about the tools that analyze,
     visualize and annotate data to maximize knowledge
     discovery
   – Reward systems need to change
   – We need scientist management tools
   – We need to be less fixated on the big data problems
   – We need to unleash the full power of the Internet

                         ICBP Houston April 27, 2012   Easy   Hard
Yes YouTube Can Increase the Rate of
             Discovery




                              Unleash the full power of the Internet
The Lab Experiment
                           Paper+Rich Media

• My students enjoyed the experience
• The shyest student was actually the most bold
  in front of the camera
• “We will become a generation of “science
  castors”
• They liked the exposure for the most part –
  rather than the PI it puts them out in front
                  ICBP Houston April 27, 2012
                                                Unleash the full power of the Internet
Organic Growth
                                                3 Years Later
                                                www.scivee.tv
• Some of their work viewed 20,000+ times
• Global audience of researchers, educators and
  academic/research institutions
  – 60,000 unique visitors & 2M pageviews/month
  – 16,000 registered users & 600 communities
  – 5,000 uploads of video content (about journal articles,
    conferences, research news and classes)
  – Growing 4-5% monthly
• Sustainability - evolving a business model
  supporting journals and conferences
                       ICBP Houston April 27, 2012
                                                     Unleash the full power of the Internet
Products
              What Emerged: SciveeCasts
ApplicationProduct     Primary Customers

Journals    PubCast    Journals, publishers,
societies

Meetings    PosterCast Societies, conference orgs.
            SlideCast

Comm.       PaperCast Societies, journals
            Podcast
            SlideCast

Education PosterCast Societies, universities
          SlideCast

Books       BookCast   Publishers, book sellers




                                            ICBP Houston April 27, 2012
                                                                          Unleash the full power of the Internet
Proposal - The TeachU Workflow
    Step 1                           Mac
                                     PC
presenter starts
  PowerPoint
                                                              Step 4
                                                  Slides
                                                            slides are
                                                            uploaded

                                                                  Website

                                   Step 3
                             presenter stops
                              recording and
                             initiates upload                  Step 5
     Step 2
presenter starts                                        slides and podcast       Step 6
  recording on                                           are automatically      listener
  smart phone                                 Sync File    synchronized       plays back
                                              Podcast
                                                                             synchronized
                                                                              presentation

                       Android
                       iPhone
                   Windows Phone 7         ICBP Houston April 27, 2012
Acknowledgements
•   BioLit Team
     –   Lynn Fink                               • wwPDB team
     –   Parker Williams
     –   Marco Martinez                                – Andreas Prilc
     –   Rahul Chandran                                – Dimitris Dimitropoulos
     –   Greg Quinn

•   MBT                                          • SciVee Team
     – John Moreland                                   –     Apryl Bailey
     – John Beaver
                                                       –     Leo Chalupa
                                                       –     Lynn Fink      http://www.scivee.tv
•   Microsoft Scholarly Communications
     –   Pablo Fernicola                               –     Marc Friedman (CEO)
     –   Lee Dirks                                     –     Ken Liu
     –   Savas Parastitidas                            –     Alex Ramos
     –   Alex Wade                                     –     Willy Suwanto
     –   Tony Hey
                                                       –     Ben Yukich



http://biolit.ucsd.edu
http//www.pdb.org
                               ICBP Houston April 27, 2012
http://www.codeplex.com/ucsdbiolit
pbourne@ucsd.edu




Questions?
   ICBP Houston April 27, 2012
What Is Open Science
• Unrestricted access and reuse of scientific
  knowledge as found in the literature and
  elsewhere provided attribution is given

• Ditto the data, protocols, software etc. from
  which that knowledge is derived

• Something catalyzed by the Fourth Paradigm
                   ICBP Houston April 27, 2012
What Motivates Me to Talk About
           Open Science?
• I am a domain (life) scientist not a computer or information
  scientist

• I have been co-directing a major open and freely accessible
  biological data source – the Protein Data Bank (PDB) for the past 11
  years.

• Almost 6 years ago I co-founded and remain the founding Editor in
  Chief of the open access journal PLoS Computational Biology

• I co-founded SciVee.tv to disseminate science in new ways

• There must be a business model to enable persistence and growth

                           ICBP Houston April 27, 2012
What Are the Promises of Open
              Science?
• To accelerate the rate of scientific discovery
  worldwide
• To enable contributions from a broader
  geographic and economic base
• To approach learning and comprehension in
  new ways
• To reach a broader audience including the
  general public

                   ICBP Houston April 27, 2012
MBT Features
                       http://mbt.sdsc.edu
                                                        • Offer a framework not an
                                                          end user application
                                                        • Responds to the data type
                                                        • Support read write access
Immunologists
                                                        • Encourages others to
                                                          write end user
                Immunome Research, 2007 3(1):3
                                                          applications
                                                        • Discourages feature creep
                         Medicinal                                    BMC Bioinformatics 2005, 6:21.

                         Chemists


                                        ICBP Houston April 27, 2012
                                                                                  Think More About the Tools

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Communicating Systems Biology - Why and How We Should Do Better in a Digital World

  • 1. Communicating Systems Biology – Why and How We Should Do Better in a Digital World ? Philip E. Bourne University of California San Diego pbourne@ucsd.edu http://www.slideshare.net/pebourne/ ICBP Houston April 27, 2012
  • 2. Why We Should Do Better • Discovery processes are increasingly complex and broad in scope • Data must be connected more closely to the methods under study • Science is an increasingly social endeavor http://www.discoveryinformaticsinitiative.org/ Yolanda Gil and Haym Hirsch ICBP Houston April 27, 2012
  • 3. Why We Should Do Better The Scientific Process is Too Slow to Respond to a Crisis – Either Global or Personal By the time the paper is published we could all be dead http://knol.google.com/k/plos-currents-influenza# ICBP Houston April 27, 2012 Motivation
  • 4. In a time of crisis the need for fast access to accurate data and any knowledge associated with that data are paramount Structure Summary page activity for H1N1 Influenza related structures Jan. 2008 Jul. 2008 Jan. 2009 Jul. 2009 Jan. 2010 Jul. 2010 3B7E: Neuraminidase of A/Brevig Mission/1/1918 H1N1 strain in complex with zanamivir 1RUZ: 1918 H1 Hemagglutinin * http://www.cdc.gov/h1n1flu/estimates/April_March_13.htm ICBP Houston April 27, 2012 Motivation
  • 5. If that is not enough… For some people the scientific process may be too slow to save their life ICBP Houston April 27, 2012 Motivation
  • 6. Josh Sommer – A Remarkable Young Man Co-founder & Executive Director the Chordoma Foundation http://sagecongress.org/Presentations/Sommer.pdf ICBP Houston April 27, 2012 Motivation
  • 7. Chordoma • A rare form of brain cancer • No known drugs • Treatment – surgical resection followed by intense radiation therapy http://upload.wikimedia.org/wikipedia/commons/2/2b/Chordoma.JPG ICBP Houston April 27, 2012 Motivation
  • 14. Science is an Increasingly Social Endeavor Witness the Story of Meredith ICBP Houston April 27, 2012
  • 15. A Requirement is More Open Science But …. ICBP Houston April 27, 2012
  • 16. Openness is Misunderstood by Scientists • Witness the confusion regarding open access • Witness PubMed Central ICBP Houston April 27, 2012
  • 17. What Are the Impediments to Open Science? Change Reward You don’t get tenure for starting a blog! ICBP Houston April 27, 2012
  • 18. How Can We Do Better? … ICBP Houston April 27, 2012
  • 19. How Can We Do Better? • Better communication, data and knowledge access, and new modes of discovery, which means: – We need data and knowledge about that data to interoperate i.e. we need new kinds of fast, versatile publications and data archives – We need to be more open with both – We need to think more about the tools that analyze, visualize and annotate data to maximize knowledge discovery – Reward systems need to change – We need scientist management and discovery tools – We need to be less fixated on the big data problems – We need to unleash the full power of the Internet ICBP Houston April 27, 2012 Easy Hard
  • 20. Both Are Under Stress • PubMed contains ~21M • 1330 databases entries (May 2011) reported in NAR 2011 • ~100,000 papers indexed • MetaBase per month http://biodatabase.org • In Feb 2009: reports 2,651 entries – 67,406,898 interactive edited 12,587 times searches were done – 92,216,786 entries were viewed PLoS Comp. Biol. 2005 1(3) e34
  • 21. Some More Comparisons • Journals have a pretty • Efforts to make the standardized interface interfaces different! • Little attempt at a • Journals have a business business model model compared to the Web 2.0 • The quality is declining as world numbers increase (?) • Quality is increasing (?) • Audience believes they • Not well sustained are sustainable Databases versus journals PLoS Comp. Biol. 2008. 4(7): e1000136
  • 22. We Need Data and The Knowledge and Data Cycle Knowledge About That 0. Full text of PLoS papers stored 4. The composite view has in a database links to pertinent blocks Data to Interoperate of literature text and back to the PDB 1. User clicks on content 4. 2. Metadata and webservices to data provide an interactive 1. view that can be 3. A composite view of 1. A link brings up figures from the paper journal and database content results annotated 3. 3. Selecting features provides a data/knowledge mashup 2. 4. Analysis leads to new 2. Clicking the paper figure retrieves data from the PDB which is content I can share analyzed PLoS Comp. Biol. 2005 1(3) e34
  • 23. We Need Data and Knowledge About That Data to Interoperate – What is Stopping Us? • Governance – publishers vs. database providers • Reward • Metadata standards for provenance, privacy etc. • Exemplars • …. Caveat: Each discipline is different – I speak very much from a biomedical sciences perspective ICBP Houston April 27, 2012
  • 24. A Small Example - The World Wide Protein Data Bank • The single worldwide repository for data on the structure of biological macromolecules • Vital for drug discovery and the life sciences • 41 years old • Free to all http://www.wwpdb.org ICBP Houston April 27, 2012 PLoS Comp. Biol. 2005 1(3) e34 We need data and knowledge about that data to interoperate
  • 25. The World Wide Protein Data Bank – The Best Case Scenario • Paper not published unless data are deposited – strong data to literature correspondence • Highly structured data conforming to extensive ontologies • DOI’s assigned to every structure http://www.wwpdb.org ICBP Houston April 27, 2012 PLoS Comp. Biol. 2005 1(3) e34 We need data and knowledge about that data to interoperate
  • 26. Example Interoperability: The Database View www.rcsb.org/pdb/explore/literature.do?structureId=1TIM ICBP Houston April 27, 2012 BMC Bioinformatics 2010 11:220 We need data and knowledge about that data to interoperate
  • 27. Example Interoperability: The Literature View http://biolit.ucsd.edu ICBP Houston April 27, 2012 Nucleic Acids Research 2008 36(S2) W385-389 We need data and knowledge about that data to interoperate
  • 28. Semantic Tagging & Widgets are a Powerful Tool to Integrate Data and Knowledge of that Data, But as Yet Not Used Much Will Widgets and Semantic Tagging Change Computational Biology? PLoS Comp. Biol. 6(2) e1000673 ICBP Houston April 27, 2012 We need data and knowledge about that data to interoperate
  • 29. Semantic Tagging of Database Content in The Literature or Elsewhere ICBP Houston April http://www.rcsb.org/pdb/static.do?p=widgets/widgetShowcase.jsp 27, 2012 Semantic Tagging PLoS Comp. Biol. 6(2) e1000673
  • 30. Where Will It All End? http://richard.cyganiak.de/2007/10/lod/lod-datasets_2010-09-22_colored.html ICBP Houston April 27, 2012
  • 31. This is Literature Post-processing Better to Get the Authors Involved • Authors are the absolute experts on the content • More effective distribution of labor • Add metadata before the article enters the publishing process ICBP Houston April 27, 2012 We need data and knowledge about that data to interoperate
  • 32. Word Add-in for Authors • Allows authors to add metadata as they write, before they submit the manuscript • Authors are assisted by automated term recognition – OBO ontologies – Database IDs • Metadata are embedded directly into the manuscript document via XML tags, OOXML format – Open – Machine-readable • Open source, Microsoft Public License http://www.codeplex.com/ucsdbiolit ICBP Houston April 27, 2012 We need data and knowledge about that data to interoperate
  • 33. Challenges • Authors – Carrot IF one or more publishers fast tracked a paper that had semantic markup it might catch on • Publishers – Carrot Competitive advantage ICBP Houston April 27, 2012 We need data and knowledge about that data to interoperate
  • 34. The Promise – A Hypothetical Example Cardiac Disease Literature Immunology Literature Shared Function ICBP Houston April 27, 2012 We need data and knowledge about that data to interoperate
  • 35. How Can We Do Better? • Better communication, data and knowledge access, and new modes of discovery, which means: – We need data and knowledge about that data to interoperate i.e. we need new kinds of fast, versatile publications and data archives – We need to be more open with both – We need to think more about the tools that analyze, visualize and annotate data to maximize knowledge discovery – Reward systems need to change – We need scientist management and discovery tools – We need to be less fixated on the big data problems – We need to unleash the full power of the Internet ICBP Houston April 27, 2012 Easy Hard
  • 36. One Small Example of the Problem • jMol, VMD … are de facto standard important tools for rendering biological molecules .. but • They are not versatile ie do not for example: – Respond to the data they are reading – Offer views that match the users interests – Allow the user to annotate the data – Allow those annotations to be shared (published?) ICBP Houston April 27, 2012 Think More About the Tools
  • 37. Github is Great But We Need Apps for Science Computational Biology Resources Lack Persistence and Usability. PLoS Comp. Biol. 2008 4(7): e1000136
  • 38. A Few Things to Accelerate the Rate of Scientific Discovery • Better communication, data and knowledge access, and new modes of discovery, which means: – We need data and knowledge about that data to interoperate i.e. we need new kinds of fast, versatile publications and data archives – We need to be more open with both – We need to think more about the tools that analyze, visualize and annotate data to maximize knowledge discovery – Reward systems need to change – We need scientist management tools – We need to be less fixated on the big data problems – We need to unleash the full power of the Internet ICBP Houston April 27, 2012 Easy Hard
  • 39. Reward Systems Need to Change What is Needed? • Author disambiguation • Auditing (identification and metrics) of all scholarship - means new tools • Seniors need to promote alternative forms of scholarship • Juniors need to respond Ten Simple Rules for Getting Promoted as a Computational Biologist in Academia PLoS Comp Biol 2011 7(10 e1002001 ICBP Houston April 27, 2012 Reward Systems Need to Change
  • 40. What Are these Alternative Forms of Scholarship? Reviews Curation Research [Grants] Journal Poster Article Session Conference Paper Blogs Community Service/Data ICBP Houston April 27, 2012 Reward Systems Need to Change
  • 41. ICBP Houston April 27, 2012 Reward Systems Need to Change
  • 42. A Unique Identifier is Going to Happen • It is DOIs for people • Some scientists will resist • The winner is ORCID? ICBP Houston April 27, 2012 Reward Systems Need to Change
  • 43. Ideally the ID will be Tagged to Every Piece of Scholarly Communication I an Not a Scientist I am a Number PLoS Comp. Biol. 2008 4(12) e1000247 ICBP Houston April 27, 2012 Reward Systems Need to Change
  • 44. One Solution: Use the Traditional Reward System in New Ways The Wikipedia Experiment – Topic Pages • Identify areas of Wikipedia that relate to the journal that are missing of stubs • Develop a Wikipedia page in the sandbox • Have a Topic Page Editor review the page • Publish the copy of record with associated rewards • Release the living version into Wikipedia ICBP Houston April 27, 2012
  • 45. How Can We Do Better? • Better communication, data and knowledge access, and new modes of discovery, which means: – We need data and knowledge about that data to interoperate i.e. we need new kinds of fast, versatile publications and data archives – We need to be more open with both – We need to think more about the tools that analyze, visualize and annotate data to maximize knowledge discovery – Reward systems need to change – We need scientist management and discovery tools – We need to be less fixated on the big data problems – We need to unleash the full power of the Internet ICBP Houston April 27, 2012 Easy Hard
  • 46. The Truth About My Laboratory • I have ?? mail folders! • The intellectual memory of my laboratory is in those folders • This is an unhealthy hub and spoke mentality ICBP Houston April 27, 2012 We Need Scientist Management Tools
  • 47. The Truth About My Laboratory • I generate way more negative that positive data, but where is it? • Content management is a mess – Slides, posters….. – Data, lab notebooks …. – Collaborations, Journal clubs … • Software is open but where is it? http://artbyvida.com/portfolio.php • Farewell is for the data too Computational Biology Resources Lack Persistence and Usability. PLoS Comp. Biol. 2008 4(7): e1000136 ICBP Houston April 27, 2012 We Need Scientist Management Tools
  • 48. Many Great Tools Out There Taverna ICBP Houston April 27, 2012 We Need Scientist Management Tools
  • 49. The Dream of Discovery Informatics • At the end of the day a software agent reviews all of our labs electronic notebooks. Common themes and individual interests are extracted and searched against recent literature, public data, blogs, other social media and results returned and ranked for perusal next morning over coffee. ICBP Houston April 27, 2012
  • 50. How Can We Do Better? • Better communication, data and knowledge access, and new modes of discovery, which means: – We need data and knowledge about that data to interoperate i.e. we need new kinds of fast, versatile publications and data archives – We need to be more open with both – We need to think more about the tools that analyze, visualize and annotate data to maximize knowledge discovery – Reward systems need to change – We need scientist management tools – We need to be less fixated on the big data problems – We need to unleash the full power of the Internet ICBP Houston April 27, 2012 Easy Hard
  • 51. Yes YouTube Can Increase the Rate of Discovery Unleash the full power of the Internet
  • 52. The Lab Experiment Paper+Rich Media • My students enjoyed the experience • The shyest student was actually the most bold in front of the camera • “We will become a generation of “science castors” • They liked the exposure for the most part – rather than the PI it puts them out in front ICBP Houston April 27, 2012 Unleash the full power of the Internet
  • 53. Organic Growth 3 Years Later www.scivee.tv • Some of their work viewed 20,000+ times • Global audience of researchers, educators and academic/research institutions – 60,000 unique visitors & 2M pageviews/month – 16,000 registered users & 600 communities – 5,000 uploads of video content (about journal articles, conferences, research news and classes) – Growing 4-5% monthly • Sustainability - evolving a business model supporting journals and conferences ICBP Houston April 27, 2012 Unleash the full power of the Internet
  • 54. Products What Emerged: SciveeCasts ApplicationProduct Primary Customers Journals PubCast Journals, publishers, societies Meetings PosterCast Societies, conference orgs. SlideCast Comm. PaperCast Societies, journals Podcast SlideCast Education PosterCast Societies, universities SlideCast Books BookCast Publishers, book sellers ICBP Houston April 27, 2012 Unleash the full power of the Internet
  • 55. Proposal - The TeachU Workflow Step 1 Mac PC presenter starts PowerPoint Step 4 Slides slides are uploaded Website Step 3 presenter stops recording and initiates upload Step 5 Step 2 presenter starts slides and podcast Step 6 recording on are automatically listener smart phone Sync File synchronized plays back Podcast synchronized presentation Android iPhone Windows Phone 7 ICBP Houston April 27, 2012
  • 56. Acknowledgements • BioLit Team – Lynn Fink • wwPDB team – Parker Williams – Marco Martinez – Andreas Prilc – Rahul Chandran – Dimitris Dimitropoulos – Greg Quinn • MBT • SciVee Team – John Moreland – Apryl Bailey – John Beaver – Leo Chalupa – Lynn Fink http://www.scivee.tv • Microsoft Scholarly Communications – Pablo Fernicola – Marc Friedman (CEO) – Lee Dirks – Ken Liu – Savas Parastitidas – Alex Ramos – Alex Wade – Willy Suwanto – Tony Hey – Ben Yukich http://biolit.ucsd.edu http//www.pdb.org ICBP Houston April 27, 2012 http://www.codeplex.com/ucsdbiolit
  • 57. pbourne@ucsd.edu Questions? ICBP Houston April 27, 2012
  • 58. What Is Open Science • Unrestricted access and reuse of scientific knowledge as found in the literature and elsewhere provided attribution is given • Ditto the data, protocols, software etc. from which that knowledge is derived • Something catalyzed by the Fourth Paradigm ICBP Houston April 27, 2012
  • 59. What Motivates Me to Talk About Open Science? • I am a domain (life) scientist not a computer or information scientist • I have been co-directing a major open and freely accessible biological data source – the Protein Data Bank (PDB) for the past 11 years. • Almost 6 years ago I co-founded and remain the founding Editor in Chief of the open access journal PLoS Computational Biology • I co-founded SciVee.tv to disseminate science in new ways • There must be a business model to enable persistence and growth ICBP Houston April 27, 2012
  • 60. What Are the Promises of Open Science? • To accelerate the rate of scientific discovery worldwide • To enable contributions from a broader geographic and economic base • To approach learning and comprehension in new ways • To reach a broader audience including the general public ICBP Houston April 27, 2012
  • 61. MBT Features http://mbt.sdsc.edu • Offer a framework not an end user application • Responds to the data type • Support read write access Immunologists • Encourages others to write end user Immunome Research, 2007 3(1):3 applications • Discourages feature creep Medicinal BMC Bioinformatics 2005, 6:21. Chemists ICBP Houston April 27, 2012 Think More About the Tools