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Ivan Herman
     and the other workshop co-chairs:
Tim Clark, Eduard Hovy, and Anita de Waard
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(13)
(14)
(15)
(16)
(17)
(18)
(19)
   Experts find one another’s result
          They engage into private or public conversations,
           discussions
          They may lead to
            new results
            new, possibly common actions (that did happen in our case)
          They get to know and possibly influence one
           another’s view
          Etc.



(20)
(21)
   I found out about the paper on a social site
            not through a formal bibliography
          I could not get to the paper directly
            though my Institute’s library has a subscription to Elsevier’s
             Web site…
            I was not there! I.e., I had no access
            I had to know (because I am part of the community) that
             there is a preprint server




(22)
   I had access to PDF: like a paper printout, but on the
           screen
            no access to higher resolution images
            no access to the underlying data, so that I could check some
             of the statements
            no access to the algorithm to really try it out (have you ever
             tried to read a complex computing algorithm?)
            no direct link to all the other papers via the references
            • if I want to read them: for each paper the whole story starts all
              over again!




(23)
   My blog led to
            additional insights, possibly to both of us
            maybe some practical results
            • submission of a specification to a standard body in this case
            the paper certainly had an impact on me …
          But… the whole series of communication, of
           references, etc., go unnoticed on the authors’ official
           impact factors
            and that is almost the only thing that counts for career
             advancement…



(24)
   Web sites can offer you lively experiences on
            images, interactive diagrams, video, audio
            possibly illustrated algorithms running real time on demand
            interactive control over remote program execution
          Hyperlinks are the norm: getting from one page to
           another is normal and expected




(25)
   Storage is cheap: publishing data or images beyond
           pure text is common place
          Data mining is real: cross references, relationships,
           etc., become possible if the underlying content is
           “software friendly”




(26)
   Experts communicate through emails, Twitter,
           Google+, Facebook, etc.
            possibly more knowledge and information flows through
             these channels than through “official” scientific
             communications
            this flow is not measured for scientific career purposes
          Pace of information exchange is higher, a publication
           must be made available almost instantaneously
            compare it to the long publication delays through official
             channels



(27)
   There is an information overload; people expect
           technical help in managing it
          Collaborative platforms come to the fore where
           scientific discourse may happen through common
           development and discussion
          etc.




(28)
(29)
   Took place on 15-18
           August, 2011
          Large participation of
           people with very
           different scientific
           backgrounds
              biologists
              computer scientists
              librarians
              publishers
              astrophysicists
              …



(31)
   Solve all the issues
          Come up with ready solution
          Develop new software
          Define full-blown new business models
          …




(32)
   Experiences were exchanged among communities
          A high level synthesis of the issues was provided
            A “Dagstuhl Manifesto”
            http://dx.doi.org/10.4230/DagMan.1.1.41
            A separate Dagstuhl report:
            http://drops.dagstuhl.de/opus/volltexte/2011/3315/
            A shorter version in the “Force11 Manifesto”:
            http://force11.org/white_paper
          Build a community around the common goal



(33)
(34)
   Three major areas were explored
           1. Mechanisms and methodologies of publication
           2. Finances: business models for the future
           3. Re-evaluate quality assessment of researchers




(35)
   What does “publication” mean?
          Text, but increasingly together with:
            associated datasets, video, images, software, workflow
             plans—anything used in research
            related papers, possibly reflecting the evolution of the
             paper’s thoughts
            social network of related researchers
            possibly earlier versions of the paper, with commentaries
            metadata (publication date, exact references, quality
             verification results,…)



(36)
   Associated information should be stored, like
            datasets, mathematical models, etc.
            software/algorithms in downloadable and runnable form
            images, video, audio, etc., in indexable formats
          All these should be stored and made available using
           public standards
            storage and encoding formats for the data components
            metadata standards for the additional information
            etc.




(37)
   New procedures, systems, services, etc., are needed
              manage information, extract relationships, help collaboration
              link research data to other research data on the Web
              help in gaining further insights, finding trends
              etc.
          Some of this work is hard and require funding, new
           business models




(38)
   Role of publishers should change
            current subscription models, closed information storage,
             stringent copyright policies, etc., may not work for long
            no longer in charge of textual content only; manage storage
             and systematization of all the data, including the text
            focus on long term archiving, preservation
            provide extra valuable services on the research data; that
             should be the major source of future income




(39)
   Role of libraries also change
            focus not on preservation but on access to information on
             the Web at large
            user services of all kinds become more important
          New players (e.g., Google) appear on the market
            their presence changes the role of both publishers and
             libraries




(40)
   New impact measurement should be developed
            assess usage of publication (including ancillary material)
            assess on-line discussions, cross-references, additional
             data, impact via Social Web
          Extended notion of “publication” brings new forms of
           contributions:
            data collection creation, statistical processing of others’
             results
            creation of software that users others’ data
            production of new type of software and assess its usage by
             the community


(41)
   Produced the separate white paper (beyond the
           Dagstuhl report)
          Provided inputs to different governmental initiatives
           on scholarly communications
          Set up a separate Web Site
          Maintain a separate mailing list
            seeded with the workshop participants’ list
          Try to get extra funding to develop the ideas,
           software, web site, etc., further
          Spread the word…

(42)
   This workshop was part of a series of similar events
          Everybody was charmed by the facilities of Dagstuhl!




(44)
These slides are also available on the Web:

         http://www.w3.org/2012/Talks/0319-Dagstuhl-IH/



(45)

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On scholarly communication (report of a Dagstuhl workshop)

  • 1. Ivan Herman and the other workshop co-chairs: Tim Clark, Eduard Hovy, and Anita de Waard
  • 2. (2)
  • 3. (3)
  • 4. (4)
  • 5. (5)
  • 6. (6)
  • 7. (7)
  • 8. (8)
  • 9. (9)
  • 10. (10)
  • 11. (11)
  • 12. (12)
  • 13. (13)
  • 14. (14)
  • 15. (15)
  • 16. (16)
  • 17. (17)
  • 18. (18)
  • 19. (19)
  • 20. Experts find one another’s result  They engage into private or public conversations, discussions  They may lead to  new results  new, possibly common actions (that did happen in our case)  They get to know and possibly influence one another’s view  Etc. (20)
  • 21. (21)
  • 22. I found out about the paper on a social site  not through a formal bibliography  I could not get to the paper directly  though my Institute’s library has a subscription to Elsevier’s Web site…  I was not there! I.e., I had no access  I had to know (because I am part of the community) that there is a preprint server (22)
  • 23. I had access to PDF: like a paper printout, but on the screen  no access to higher resolution images  no access to the underlying data, so that I could check some of the statements  no access to the algorithm to really try it out (have you ever tried to read a complex computing algorithm?)  no direct link to all the other papers via the references • if I want to read them: for each paper the whole story starts all over again! (23)
  • 24. My blog led to  additional insights, possibly to both of us  maybe some practical results • submission of a specification to a standard body in this case  the paper certainly had an impact on me …  But… the whole series of communication, of references, etc., go unnoticed on the authors’ official impact factors  and that is almost the only thing that counts for career advancement… (24)
  • 25. Web sites can offer you lively experiences on  images, interactive diagrams, video, audio  possibly illustrated algorithms running real time on demand  interactive control over remote program execution  Hyperlinks are the norm: getting from one page to another is normal and expected (25)
  • 26. Storage is cheap: publishing data or images beyond pure text is common place  Data mining is real: cross references, relationships, etc., become possible if the underlying content is “software friendly” (26)
  • 27. Experts communicate through emails, Twitter, Google+, Facebook, etc.  possibly more knowledge and information flows through these channels than through “official” scientific communications  this flow is not measured for scientific career purposes  Pace of information exchange is higher, a publication must be made available almost instantaneously  compare it to the long publication delays through official channels (27)
  • 28. There is an information overload; people expect technical help in managing it  Collaborative platforms come to the fore where scientific discourse may happen through common development and discussion  etc. (28)
  • 29. (29)
  • 30.
  • 31. Took place on 15-18 August, 2011  Large participation of people with very different scientific backgrounds  biologists  computer scientists  librarians  publishers  astrophysicists  … (31)
  • 32. Solve all the issues  Come up with ready solution  Develop new software  Define full-blown new business models  … (32)
  • 33. Experiences were exchanged among communities  A high level synthesis of the issues was provided  A “Dagstuhl Manifesto” http://dx.doi.org/10.4230/DagMan.1.1.41  A separate Dagstuhl report: http://drops.dagstuhl.de/opus/volltexte/2011/3315/  A shorter version in the “Force11 Manifesto”: http://force11.org/white_paper  Build a community around the common goal (33)
  • 34. (34)
  • 35. Three major areas were explored 1. Mechanisms and methodologies of publication 2. Finances: business models for the future 3. Re-evaluate quality assessment of researchers (35)
  • 36. What does “publication” mean?  Text, but increasingly together with:  associated datasets, video, images, software, workflow plans—anything used in research  related papers, possibly reflecting the evolution of the paper’s thoughts  social network of related researchers  possibly earlier versions of the paper, with commentaries  metadata (publication date, exact references, quality verification results,…) (36)
  • 37. Associated information should be stored, like  datasets, mathematical models, etc.  software/algorithms in downloadable and runnable form  images, video, audio, etc., in indexable formats  All these should be stored and made available using public standards  storage and encoding formats for the data components  metadata standards for the additional information  etc. (37)
  • 38. New procedures, systems, services, etc., are needed  manage information, extract relationships, help collaboration  link research data to other research data on the Web  help in gaining further insights, finding trends  etc.  Some of this work is hard and require funding, new business models (38)
  • 39. Role of publishers should change  current subscription models, closed information storage, stringent copyright policies, etc., may not work for long  no longer in charge of textual content only; manage storage and systematization of all the data, including the text  focus on long term archiving, preservation  provide extra valuable services on the research data; that should be the major source of future income (39)
  • 40. Role of libraries also change  focus not on preservation but on access to information on the Web at large  user services of all kinds become more important  New players (e.g., Google) appear on the market  their presence changes the role of both publishers and libraries (40)
  • 41. New impact measurement should be developed  assess usage of publication (including ancillary material)  assess on-line discussions, cross-references, additional data, impact via Social Web  Extended notion of “publication” brings new forms of contributions:  data collection creation, statistical processing of others’ results  creation of software that users others’ data  production of new type of software and assess its usage by the community (41)
  • 42. Produced the separate white paper (beyond the Dagstuhl report)  Provided inputs to different governmental initiatives on scholarly communications  Set up a separate Web Site  Maintain a separate mailing list  seeded with the workshop participants’ list  Try to get extra funding to develop the ideas, software, web site, etc., further  Spread the word… (42)
  • 43.
  • 44. This workshop was part of a series of similar events  Everybody was charmed by the facilities of Dagstuhl! (44)
  • 45. These slides are also available on the Web: http://www.w3.org/2012/Talks/0319-Dagstuhl-IH/ (45)