Elsevier- Open to Accelerate Science

The Future of the Journal, and

Applications in an Open Scientific Ecosystem

Anita d...
Science is made of information...




      2
Science is made of information...




   ...that gets created...

        2
Science is made of information...




   ...that gets created...   ... and destroyed.

        2
What is the problem?




       3
What is the problem?


1. Researchers can’t keep track of their data.




          3
What is the problem?


1. Researchers can’t keep track of their data.

2. Data is not stored in a way that is easy for aut...
What is the problem?


1. Researchers can’t keep track of their data.

2. Data is not stored in a way that is easy for aut...
Workflow tools to the rescue!




       4
Workflow tools to the rescue!


                               http://MyExperiment.org




       4
Workflow tools to the rescue!
           http://VisTrails.org


                                  http://MyExperiment.org

...
Workflow tools to the rescue!
              http://VisTrails.org


                                     http://MyExperiment...
The Vision   Work done with Ed Hovy, Phil Bourne,
             Gully Burns and Cartic Ramakrishnan




     5
The Vision                Work done with Ed Hovy, Phil Bourne,
                          Gully Burns and Cartic Ramakrishn...
The Vision                Work done with Ed Hovy, Phil Bourne,
                          Gully Burns and Cartic Ramakrishn...
The Vision                                                   Work done with Ed Hovy, Phil Bourne,
                        ...
The Vision                                                        Work done with Ed Hovy, Phil Bourne,
                   ...
The vision (same thing, now in words):




     6
The vision (same thing, now in words):

1. All data items created in the lab (including all measurements,
   graphs, email...
The vision (same thing, now in words):

1. All data items created in the lab (including all measurements,
   graphs, email...
The vision (same thing, now in words):

1. All data items created in the lab (including all measurements,
   graphs, email...
The vision (same thing, now in words):

1. All data items created in the lab (including all measurements,
   graphs, email...
The vision (same thing, now in words):

1. All data items created in the lab (including all measurements,
     graphs, ema...
What is needed to get there?




      7
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly

...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly
B...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly
B...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly
B...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly
B...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly
B...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly  ...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly  ...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly  ...
What is needed to get there?

A. Tools: Workflow tools that work for all science, are
 scalable, safe, and user-friendly  ...
Linked Data for Elsevier




     10
      8
Linked Data for Elsevier




 <ce:section id=#123>




           10
            8
Linked Data for Elsevier




                        this says
 <ce:section id=#123>               mice like cheese




  ...
Linked Data for Elsevier



                                      said @anita
                                    on May 3...
Linked Data for Elsevier
                                         but we all know
                                      sh...
Linked Data for Elsevier
                immutable, $$, proprietary
                                                      ...
Linked Data for Elsevier
                immutable, $$, proprietary     dynamic, personal, task-driven, - open?
          ...
Semantic annotation grid




11
9
Semantic annotation grid




11
9
Granularity    Semantic annotation grid
  collection

  document
      claim

      triple

     entity




         11
  ...
Granularity              Semantic annotation grid
  collection

  document
      claim

      triple

     entity
        ...
Granularity              Semantic annotation grid
  collection

  document
      claim

      triple

     entity
        ...
Granularity              Semantic annotation grid
  collection

  document
      claim

      triple         Automated Cop...
Granularity              Semantic annotation grid
  collection

  document
      claim

      triple         Automated Cop...
.XMP RDF in all our PDFs: DC + PRISM




      12
      10
Scientific Applications, Open APIs
and a New Publishing Ecosystem
“ If I were to guess what Web 3.0 is, I would tell you that it’s a different
way of building applications…


My prediction...
We conducted
3,000 interviews
with researchers,
 librarians and
   developers
Librarian feedback



“This is just amazing. What
faculty is really after is for
something that ties this all
together, so...
Researcher feedback



“Apps (interacting) with results are
very important to help save time...
apps integrated into artic...
Developer feedback


“Holy ****…you are clearly aware
of what the web really looks like,
I’m very impressed with that. I
h...
Open APIs for applications
Developers can gain recognition and revenues
Institutions can become focal point for
applications
Researchers can save time, improve their
information discovery process and innovate
An ecosystem open to accelerate science
App Integration in Science Direct
Thank You
Anita de Waard
The Future of the Journal And Applications in an Open Scientific Ecosystem
The Future of the Journal And Applications in an Open Scientific Ecosystem
The Future of the Journal And Applications in an Open Scientific Ecosystem
The Future of the Journal And Applications in an Open Scientific Ecosystem
The Future of the Journal And Applications in an Open Scientific Ecosystem
The Future of the Journal And Applications in an Open Scientific Ecosystem
The Future of the Journal And Applications in an Open Scientific Ecosystem
The Future of the Journal And Applications in an Open Scientific Ecosystem
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Vishal Gupta + Anita de Waard at AI Mashup session at ESWC2010

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The Future of the Journal And Applications in an Open Scientific Ecosystem

  1. 1. Elsevier- Open to Accelerate Science The Future of the Journal, and Applications in an Open Scientific Ecosystem Anita de Waard , a.dewaard@elsevier.com Disruptive Technologies Director, Elsevier Labs Vishal Gupta, v.gupta@elsevier.com Head of Developer Programs, Elsevier 7th Extended Semantic Web Conference May 31, 2010
  2. 2. Science is made of information... 2
  3. 3. Science is made of information... ...that gets created... 2
  4. 4. Science is made of information... ...that gets created... ... and destroyed. 2
  5. 5. What is the problem? 3
  6. 6. What is the problem? 1. Researchers can’t keep track of their data. 3
  7. 7. What is the problem? 1. Researchers can’t keep track of their data. 2. Data is not stored in a way that is easy for authors. 3
  8. 8. What is the problem? 1. Researchers can’t keep track of their data. 2. Data is not stored in a way that is easy for authors. 3. For readers, article text is not linked to the underlying data. 3
  9. 9. Workflow tools to the rescue! 4
  10. 10. Workflow tools to the rescue! http://MyExperiment.org 4
  11. 11. Workflow tools to the rescue! http://VisTrails.org http://MyExperiment.org 4
  12. 12. Workflow tools to the rescue! http://VisTrails.org http://MyExperiment.org http://wings.isi.edu/ 4
  13. 13. The Vision Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan 5
  14. 14. The Vision Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan All data items created in the lab are added to the workflow system. 5
  15. 15. The Vision Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan All data items created in the lab are added to the workflow system. Each item in the system has metadata (including provenance) and relations to other data items added to it. 5
  16. 16. The Vision Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan All data items created in the lab are added to the workflow system. Each item in the system has metadata (including provenance) and relations to other data items added to it. When a paper is published, a slice of this information is exposed to the world. It remains connected to its related data item, and its heritage can be traced. Rats were subjected to two grueling tests... see figure 2 for more details (click on figure to see data) 5
  17. 17. The Vision Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan All data items created in the lab are added to the workflow system. Each item in the system has metadata (including provenance) and relations to other data items added to it. When a paper is published, a slice of this information is exposed to the world. It remains connected to its related data item, and its heritage can be traced. Rats were subjected to two grueling tests... Applications run on this ‘exposed data’ Rats were subjected to two grueling tests... Rats were subjected to two grueling tests... see figure 2 for more details (click on universe. see figure data) more details (click on 2 for figure to figure 2 for more details (click on see see figure to see data) figure to see data) Some other publisher 5
  18. 18. The vision (same thing, now in words): 6
  19. 19. The vision (same thing, now in words): 1. All data items created in the lab (including all measurements, graphs, emails, talks: everything!) gets included in a workflow system. 6
  20. 20. The vision (same thing, now in words): 1. All data items created in the lab (including all measurements, graphs, emails, talks: everything!) gets included in a workflow system. 2. Each item in the system has a proper set of tags - including identification of provenance and authorship - and relations to other data items. 6
  21. 21. The vision (same thing, now in words): 1. All data items created in the lab (including all measurements, graphs, emails, talks: everything!) gets included in a workflow system. 2. Each item in the system has a proper set of tags - including identification of provenance and authorship - and relations to other data items. 3. When a paper is published, a slice of this information is exposed to the world. It remains connected to its related data item, and its heritage can be traced. 6
  22. 22. The vision (same thing, now in words): 1. All data items created in the lab (including all measurements, graphs, emails, talks: everything!) gets included in a workflow system. 2. Each item in the system has a proper set of tags - including identification of provenance and authorship - and relations to other data items. 3. When a paper is published, a slice of this information is exposed to the world. It remains connected to its related data item, and its heritage can be traced. 4. Applications run on this ‘exposed data’ universe. 6
  23. 23. The vision (same thing, now in words): 1. All data items created in the lab (including all measurements, graphs, emails, talks: everything!) gets included in a workflow system. 2. Each item in the system has a proper set of tags - including identification of provenance and authorship - and relations to other data items. 3. When a paper is published, a slice of this information is exposed to the world. It remains connected to its related data item, and its heritage can be traced. 4. Applications run on this ‘exposed data’ universe. 5. Everything lives in the cloud. 6
  24. 24. What is needed to get there? 7
  25. 25. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly 7
  26. 26. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights 7
  27. 27. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights C. Social change: Scientists need to realize they should annotate their work 7
  28. 28. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights C. Social change: Scientists need to realize they should annotate their work D. Semantic/Linked Data space at the publisher end. 7
  29. 29. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights C. Social change: Scientists need to realize they should annotate their work D. Semantic/Linked Data space at the publisher end. 7
  30. 30. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights C. Social change: Scientists need to realize they should annotate their work D. Semantic/Linked Data space at the publisher end. E. Publishing systems that run as application servers. 7
  31. 31. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly tool builders B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights standards bodies C. Social change: Scientists need to realize they should annotate their work institutes, funding bodies, individuals D. Semantic/Linked Data space at the publisher end. E. Publishing systems that run as application servers. 7
  32. 32. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly tool builders B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights standards bodies C. Social change: Scientists need to realize they should annotate their work institutes, funding bodies, individuals D. Semantic/Linked Data space at the publisher end. publishers E. Publishing systems that run as application servers. 7
  33. 33. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly tool builders B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights standards bodies C. Social change: Scientists need to realize they should annotate their work institutes, funding bodies, individuals D. Semantic/Linked Data space at the publisher end. publishers E. Publishing systems that run as application servers. publishers 7
  34. 34. What is needed to get there? A. Tools: Workflow tools that work for all science, are scalable, safe, and user-friendly tool builders B. Metadata standards: Standards that allow interoperable exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights standards bodies C. Social change: Scientists need to realize they should annotate their work institutes, funding bodies, individuals D. Semantic/Linked Data space at the publisher end. publishers E. Publishing systems that run as application servers. publishers 7
  35. 35. Linked Data for Elsevier 10 8
  36. 36. Linked Data for Elsevier <ce:section id=#123> 10 8
  37. 37. Linked Data for Elsevier this says <ce:section id=#123> mice like cheese 10 8
  38. 38. Linked Data for Elsevier said @anita on May 31 2010 this says <ce:section id=#123> mice like cheese 10 8
  39. 39. Linked Data for Elsevier but we all know she was jetlagged then said @anita on May 31 2010 this says <ce:section id=#123> mice like cheese 10 8
  40. 40. Linked Data for Elsevier immutable, $$, proprietary but we all know she was jetlagged then said @anita on May 31 2010 this says <ce:section id=#123> mice like cheese 10 8
  41. 41. Linked Data for Elsevier immutable, $$, proprietary dynamic, personal, task-driven, - open? but we all know she was jetlagged then said @anita on May 31 2010 this says <ce:section id=#123> mice like cheese 10 8
  42. 42. Semantic annotation grid 11 9
  43. 43. Semantic annotation grid 11 9
  44. 44. Granularity Semantic annotation grid collection document claim triple entity 11 9
  45. 45. Granularity Semantic annotation grid collection document claim triple entity Moment measure author/editor typesetter/production reader/data minin 11 9
  46. 46. Granularity Semantic annotation grid collection document claim triple entity Moment measure author/editor typesetter/production reader/data minin Meansmanual semi-automated automated11 9
  47. 47. Granularity Semantic annotation grid collection document claim triple Automated Copy Editing entity Moment measure author/editor typesetter/production reader/data minin Meansmanual semi-automated automated11 9
  48. 48. Granularity Semantic annotation grid collection document claim triple Automated Copy Editing entity Moment measure author/editor typesetter/production reader/data minin Reflect Meansmanual semi-automated automated11 9
  49. 49. .XMP RDF in all our PDFs: DC + PRISM 12 10
  50. 50. Scientific Applications, Open APIs and a New Publishing Ecosystem
  51. 51. “ If I were to guess what Web 3.0 is, I would tell you that it’s a different way of building applications… My prediction would be that Web 3.0 will ultimately be seen as applications which are pieced together. There are a number of characteristics: the applications are relatively small, the data is in the cloud, the applications can run on any device, PC or mobile phone, the applications are very fast and they’re very customizable. Furthermore, the applications are distributed virally: literally by social networks, by email. You won’t go to the store and purchase them… That’s a very different application model than we’ve ever seen in computing. ” - Eric Schmidt CEO Google
  52. 52. We conducted 3,000 interviews with researchers, librarians and developers
  53. 53. Librarian feedback “This is just amazing. What faculty is really after is for something that ties this all together, so it’s all in one place. This makes it really easy for them.”
  54. 54. Researcher feedback “Apps (interacting) with results are very important to help save time... apps integrated into article such as the pop-up example is also very interesting…”
  55. 55. Developer feedback “Holy ****…you are clearly aware of what the web really looks like, I’m very impressed with that. I haven’t seen anything so far that comes anywhere close to what you have done …I would love to help out in any capacity…” 19
  56. 56. Open APIs for applications
  57. 57. Developers can gain recognition and revenues
  58. 58. Institutions can become focal point for applications
  59. 59. Researchers can save time, improve their information discovery process and innovate
  60. 60. An ecosystem open to accelerate science
  61. 61. App Integration in Science Direct
  62. 62. Thank You Anita de Waard

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