The Future of the Journal
-
Upload
anita-de-waard -
Category
Technology
-
view
3.965 -
download
1
description
Transcript of The Future of the Journal
The Future of the Journal
Anita de Waard , [email protected] Disruptive Technologies Director, Elsevier Labs
June 3, 2010
2
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.
3
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 authors.
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 authors.
3. For readers, article text is not linked to the underlying data.
The Vision
4
Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan
The Vision
4
Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan
1. Research: Each item in the system has metadata (including provenance) and relations to other data items added to it.
metadata
metadata
metadata
metadata
metadata
The Vision
4
Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan
1. Research: Each item in the system has metadata (including provenance) and relations to other data items added to it.
metadata
metadata
metadata
metadata
metadata
2. Workflow: All data items created in the lab are added to a (lab-owned) workflow system.
The Vision
4
Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan
1. Research: Each item in the system has metadata (including provenance) and relations to other data items added to it.
metadata
metadata
metadata
metadata
metadata
2. Workflow: All data items created in the lab are added to a (lab-owned) workflow system.
Rats were subjected to two grueling tests(click on fig 2 to see underlying data). These results suggest that the neurological pain pro-
3. Authoring: A paper is written in an authoring tool which can pull data with provenance from the workflow tool in the appropriate representation into the document.
The Vision
4
Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan
1. Research: Each item in the system has metadata (including provenance) and relations to other data items added to it.
metadata
metadata
metadata
metadata
metadata
2. Workflow: All data items created in the lab are added to a (lab-owned) workflow system.
4. Editing and review: Once the co-authors agree, the paper is ‘exposed’ to the editors, who in turn expose it to reviewers. Reports are stored in the authoring/editing system, the paper gets updated, until it is validated.
Review
EditRevise
Rats were subjected to two grueling tests(click on fig 2 to see underlying data). These results suggest that the neurological pain pro-
3. Authoring: A paper is written in an authoring tool which can pull data with provenance from the workflow tool in the appropriate representation into the document.
The Vision
4
Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan
1. Research: Each item in the system has metadata (including provenance) and relations to other data items added to it.
metadata
metadata
metadata
metadata
metadata
5. Publishing and distribution: When a paper is published, a collection of validated information is exposed to the world. It remains connected to its related data item, and its heritage can be traced.
2. Workflow: All data items created in the lab are added to a (lab-owned) workflow system.
4. Editing and review: Once the co-authors agree, the paper is ‘exposed’ to the editors, who in turn expose it to reviewers. Reports are stored in the authoring/editing system, the paper gets updated, until it is validated.
Review
EditRevise
Rats were subjected to two grueling tests(click on fig 2 to see underlying data). These results suggest that the neurological pain pro-
3. Authoring: A paper is written in an authoring tool which can pull data with provenance from the workflow tool in the appropriate representation into the document.
Some other publisher
6. User applications: distributed applications run on this ‘exposed data’ universe.
The Vision
4
Work done with Ed Hovy, Phil Bourne, Gully Burns and Cartic Ramakrishnan
1. Research: Each item in the system has metadata (including provenance) and relations to other data items added to it.
metadata
metadata
metadata
metadata
metadata
5. Publishing and distribution: When a paper is published, a collection of validated information is exposed to the world. It remains connected to its related data item, and its heritage can be traced.
2. Workflow: All data items created in the lab are added to a (lab-owned) workflow system.
4. Editing and review: Once the co-authors agree, the paper is ‘exposed’ to the editors, who in turn expose it to reviewers. Reports are stored in the authoring/editing system, the paper gets updated, until it is validated.
Review
EditRevise
Rats were subjected to two grueling tests(click on fig 2 to see underlying data). These results suggest that the neurological pain pro-
3. Authoring: A paper is written in an authoring tool which can pull data with provenance from the workflow tool in the appropriate representation into the document.
5
What is needed to get there?
tool builders
standards bodies
institutes, funding bodies, individuals
5
What is needed to get there? A. Workflow tools: Linked-data-based workflow tools for all
science, are scalable, safe, and user-friendly tool builders
standards bodies
institutes, funding bodies, individuals
5
What is needed to get there? A. Workflow tools: Linked-data-based workflow tools for all
science, are scalable, safe, and user-friendlyB. Authoring and reviewing tools: which enable use of rich
and provenance-tracked elements
tool builders
standards bodies
institutes, funding bodies, individuals
5
What is needed to get there? A. Workflow tools: Linked-data-based workflow tools for all
science, are scalable, safe, and user-friendlyB. Authoring and reviewing tools: which enable use of rich
and provenance-tracked elementsC. Metadata standards: Standards that allow interoperable
exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights
tool builders
standards bodies
institutes, funding bodies, individuals
5
What is needed to get there? A. Workflow tools: Linked-data-based workflow tools for all
science, are scalable, safe, and user-friendlyB. Authoring and reviewing tools: which enable use of rich
and provenance-tracked elementsC. Metadata standards: Standards that allow interoperable
exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights
D. Social change: Scientists need to realize they should annotate their work
tool builders
standards bodies
institutes, funding bodies, individuals
5
What is needed to get there? A. Workflow tools: Linked-data-based workflow tools for all
science, are scalable, safe, and user-friendlyB. Authoring and reviewing tools: which enable use of rich
and provenance-tracked elementsC. Metadata standards: Standards that allow interoperable
exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights
D. Social change: Scientists need to realize they should annotate their work
E. Semantic/Linked Data XML repositories.
tool builders
standards bodies
institutes, funding bodies, individuals
5
What is needed to get there? A. Workflow tools: Linked-data-based workflow tools for all
science, are scalable, safe, and user-friendlyB. Authoring and reviewing tools: which enable use of rich
and provenance-tracked elementsC. Metadata standards: Standards that allow interoperable
exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights
D. Social change: Scientists need to realize they should annotate their work
E. Semantic/Linked Data XML repositories. F. Publishing systems that run application servers.
tool builders
standards bodies
institutes, funding bodies, individuals
5
What is needed to get there? A. Workflow tools: Linked-data-based workflow tools for all
science, are scalable, safe, and user-friendlyB. Authoring and reviewing tools: which enable use of rich
and provenance-tracked elementsC. Metadata standards: Standards that allow interoperable
exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights
D. Social change: Scientists need to realize they should annotate their work
E. Semantic/Linked Data XML repositories. F. Publishing systems that run application servers.
tool builders
standards bodies
institutes, funding bodies, individualspublishers
5
What is needed to get there? A. Workflow tools: Linked-data-based workflow tools for all
science, are scalable, safe, and user-friendlyB. Authoring and reviewing tools: which enable use of rich
and provenance-tracked elementsC. Metadata standards: Standards that allow interoperable
exchange of information on any knowledge item created in a lab, including provenance and privacy/IPR rights
D. Social change: Scientists need to realize they should annotate their work
E. Semantic/Linked Data XML repositories. F. Publishing systems that run application servers.
tool builders
standards bodies
institutes, funding bodies, individualspublisherspublishers
6
Workflow tools are scaling up!
6
Workflow tools are scaling up!
http://MyExperiment.org
6
Workflow tools are scaling up!
http://MyExperiment.org
http://VisTrails.org
6
Workflow tools are scaling up!
http://wings.isi.edu/
http://MyExperiment.org
http://VisTrails.org
7
Linked Data for Elsevier
10
7
Linked Data for Elsevier
<ce:section id=#123>
10
7
Linked Data for Elsevier
<ce:section id=#123> mice like cheesethis says
10
7
Linked Data for Elsevier
<ce:section id=#123>
said @anita on May 31 2010
mice like cheesethis says
10
7
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
7
but we all know she was jetlagged then
Linked Data for Elsevier
<ce:section id=#123>
said @anita on May 31 2010
immutable, $$, proprietary
mice like cheesethis says
10
7
dynamic, personal, task-driven, - open?
but we all know she was jetlagged then
Linked Data for Elsevier
<ce:section id=#123>
said @anita on May 31 2010
immutable, $$, proprietary
mice like cheesethis says
10
8
Semantic annotation grid
11
8
Semantic annotation grid
11
8
Semantic annotation grid
document
claim
triple
entity
collectionGranularity
11
8
Semantic annotation grid
document
claim
triple
entity
collectionGranularity
reader/data miningtypesetter/productionauthor/editorMoment
measure
11
8
Semantic annotation grid
automated
manual
semi-automated
Means
document
claim
triple
entity
collectionGranularity
reader/data miningtypesetter/productionauthor/editorMoment
measure
11
8
Semantic annotation grid
Automated Copy Editing
automated
manual
semi-automated
Means
document
claim
triple
entity
collectionGranularity
reader/data miningtypesetter/productionauthor/editorMoment
measure
11
8
Semantic annotation grid
Automated Copy Editing
Reflect
automated
manual
semi-automated
Means
document
claim
triple
entity
collectionGranularity
reader/data miningtypesetter/productionauthor/editorMoment
measure
11
9
.XMP RDF in all our PDFs: DC + PRISM
12
Application server: an ecosystem open to accelerate science
Application server: an app-driven ecosystem
Application server: an example