the future of the journal and applications in an open scientific ecosystem

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

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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.

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What is the problem?

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What is the problem?

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

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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.

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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.

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Workflow tools to the rescue!

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Workflow tools to the rescue!

http://MyExperiment.org

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Workflow tools to the rescue!

http://MyExperiment.org

http://VisTrails.org

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Workflow tools to the rescue!

http://wings.isi.edu/

http://MyExperiment.org

http://VisTrails.org

The Vision

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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.

The Vision

5

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.

The Vision

5

Each item in the system has metadata (including provenance) and relations to other data items added to it.

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.

The Vision

5

Each item in the system has metadata (including provenance) and relations to other data items added to it.

Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan

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)

All data items created in the lab are added to the workflow system.

The Vision

5

Each item in the system has metadata (including provenance) and relations to other data items added to it.

Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan

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)

Applications run on this ‘exposed data’ universe. Rats were subjected to two grueling tests...

see figure 2 for more details (click on figure to see data)

Rats were subjected to two grueling tests...

see figure 2 for more details (click on figure to see data)

Some other publisher

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The vision (same thing, now in words):

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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

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

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

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

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.

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What is needed to get there?

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What is needed to get there?

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

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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

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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

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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

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

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

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.

tool builders

standards bodies

institutes, funding bodies, individuals

7

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.

tool builders

standards bodies

institutes, funding bodies, individuals

publishers

7

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.

tool builders

standards bodies

institutes, funding bodies, individuals

publishers

publishers

7

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.

tool builders

standards bodies

institutes, funding bodies, individuals

publishers

publishers

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Linked Data for Elsevier

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8

Linked Data for Elsevier

<ce:section id=#123>

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Linked Data for Elsevier

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

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Linked Data for Elsevier

<ce:section id=#123>

said @anita on May 31 2010

mice like cheesethis says

10

8

but we all know she was jetlagged then

Linked Data for Elsevier

<ce:section id=#123>

said @anita on May 31 2010

mice like cheesethis says

10

8

but we all know she was jetlagged then

Linked Data for Elsevier

<ce:section id=#123>

said @anita on May 31 2010

immutable, $$, proprietary

mice like cheesethis says

10

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dynamic, personal, task-driven, - open?

but we all know she was jetlagged then

Linked Data for Elsevier

<ce:section id=#123>

said @anita on May 31 2010

immutable, $$, proprietary

mice like cheesethis says

10

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Semantic annotation grid

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Semantic annotation grid

11

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Semantic annotation grid

document

claim

triple

entity

collectionGranularity

11

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Semantic annotation grid

document

claim

triple

entity

collectionGranularity

reader/data miningtypesetter/productionauthor/editorMoment

measure

11

9

Semantic annotation grid

automated

manual

semi-automated

Means

document

claim

triple

entity

collectionGranularity

reader/data miningtypesetter/productionauthor/editorMoment

measure

11

9

Semantic annotation grid

Automated Copy Editing

automated

manual

semi-automated

Means

document

claim

triple

entity

collectionGranularity

reader/data miningtypesetter/productionauthor/editorMoment

measure

11

9

Semantic annotation grid

Automated Copy Editing

Reflect

automated

manual

semi-automated

Means

document

claim

triple

entity

collectionGranularity

reader/data miningtypesetter/productionauthor/editorMoment

measure

11

10

.XMP RDF in all our PDFs: DC + PRISM

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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 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

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 it’s all in one place. This makes it really easy for them.”

“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…”

Researcher feedback

Developer feedback

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“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…”

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