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Knowledge Infrastructure for Global Systems Science

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Presentation at the First Open Global Systems Science Conference, Brussels, 8-10 November 2012 http://www.gsdp.eu/nc/news/news/date/2012/10/31/first-open-global-systems-science-conference/
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David De Roure Knowledge Infrastructure for Global Systems Science scienti sts data model s n arratives citizens
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Page 1: Knowledge Infrastructure for Global Systems Science

David De Roure

Knowledge Infrastructure forGlobal Systems Science

scientists

data

models narratives

citizens

Page 2: Knowledge Infrastructure for Global Systems Science
Page 3: Knowledge Infrastructure for Global Systems Science

Social ObjectsSocial Objects

Page 4: Knowledge Infrastructure for Global Systems Science

A repository for sharingresearch methods (e.g.data analysis pipelines)

Largest public workflowrepository (2600 workflowsfor multiple systems, 320groups, 280 packs)

Workflows have co-evolvedinto Packs, Research Objectsand now ComputationalResearch Objects

Influenced BioCatalogue, MethodBox and SysMO-SEEK

www.myexperiment.org

Page 5: Knowledge Infrastructure for Global Systems Science

data

methods

Page 6: Knowledge Infrastructure for Global Systems Science

Research Objects

ComputationalResearch Objects

Co-Evolution of Research ObjectsCo-Evolution of Research Objects

WorkflowsPacks O

AIO

RE

W3C PRO

V

Page 7: Knowledge Infrastructure for Global Systems Science

SELECT?pack ?contribWHERE { ?pack rdf:type mepack:Pack. ?pack ore:aggregates ?contrib.}

SELECT?pack ?contribWHERE { ?pack rdf:type mepack:Pack. ?pack ore:aggregates ?contrib.}

SELECT?wf ?uriWHERE { ?wf mebase:has-current-version ?v. ?v mecomp:executes-dataflow ?d. ?d mecomp:has-component ?c. ?c rdf:type mecomp:WSDLProcessor. ?c mecomp:processor-uri ?uri.}

SELECT?wf ?uriWHERE { ?wf mebase:has-current-version ?v. ?v mecomp:executes-dataflow ?d. ?d mecomp:has-component ?c. ?c rdf:type mecomp:WSDLProcessor. ?c mecomp:processor-uri ?uri.}

Sean Bechhofer

Page 8: Knowledge Infrastructure for Global Systems Science

http://force11.org/

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…after the inputs have been completed, the model will run, and as the resulting output becomes available to view in the eBook, the navigation tree changes to reflect this…

http://www.bristol.ac.uk/cmm/research/estat/

Page 10: Knowledge Infrastructure for Global Systems Science

www.methodbox.org

Page 11: Knowledge Infrastructure for Global Systems Science

Reusable. The key tenet of Research Objects is to support the sharing and reuse of data, methods and processes.

Repurposeable. Reuse may also involve the reuse of constituent parts of the Research Object.

Repeatable. There should be sufficient information in a Research Object to be able to repeat the study, perhaps years later.

Reproducible. A third party can start with the same inputs and methods and see if a prior result can be confirmed.

Replayable. Studies might involve single investigations that happen in milliseconds or protracted processes that take years.

Referenceable. If research objects are to augment or replace traditional publication methods, then they must be referenceable or citeable.

Revealable. Third parties must be able to audit the steps performed in the research in order to be convinced of the validity of results.

Respectful. Explicit representations of the provenance, lineage and flow of intellectual property.

The R dimensions

Replacing the Paper: The Twelve Rs of the e-Research Record” on http://blogs.nature.com/eresearch/

Page 12: Knowledge Infrastructure for Global Systems Science

MachineMachine

MachineMachine

repeat

MachineMachine

repeat

REPRODUCE

MachineMachineMachineMachine

softwaresoftwarepaperpaper

paperpaper

ResearchRecord

softwaresoftware

SoftwareSoftwareREPRODUCE OR REPEAT?

softwaresoftwareworkflowworkflow

paperpaper

SoftwareSoftware

wfwf

MachineMachine

softwaresoftware

workflowworkflow

softwaresoftware

blogs.nature.com/eresearch/

Page 13: Knowledge Infrastructure for Global Systems Science

Notifications and automatic re-runs

Machines are users too

Autonomic

Curation

and repair

Executable theses

New research?

Computational Research Objects

Page 14: Knowledge Infrastructure for Global Systems Science

More people

Mor

e m

achi

nes

A Big Picture

Big DataBig Compute

Conventional Computation

The Future?

SocialNetworking

cyber/e-infrastructure

onlineresearch

Page 15: Knowledge Infrastructure for Global Systems Science

Some Social MachinesSome Social Machines

sociam.org

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1. What are the social objects of Global Systems Science?

– Models, data, narratives, …

2. How do we achieve automation that is assistive and scales?

– Machines are users too: computer assistance versus automation/Taylorisation

– Computational research objects

3. Social Machines for Systems Science– Theory and practice, design and construction– Science on, of and in the Web

Discussion points

Page 17: Knowledge Infrastructure for Global Systems Science

orDatasets(+ models)(searched by experts)

Data Models Expertise“sense-making network”

Iain Buchan

Page 18: Knowledge Infrastructure for Global Systems Science

[email protected]/people/dder

www.scilogs.com/eresearch

@dder

http://www.myexperiment.org/packs/346

Page 19: Knowledge Infrastructure for Global Systems Science

• myExperiment project wikihttp://wiki.myexperiment.org/

• Workflow Forever project (Wf4Ever)http://www.wf4ever-project.org/

• Digital Social Researchhttp://www.digitalsocialresearch.net/

• e-Stathttp://www.bristol.ac.uk/cmm/research/estat/

• Methodboxhttp://www.methodbox.org/

• Theory and Practice of Social Machines (SOCIAM)http://sociam.org/

• Web Sciencehttp://webscience.org/

• Future of Research Communication (FORCE11)http://force11.org/

Links

Page 20: Knowledge Infrastructure for Global Systems Science

• D. De Roure, C. Goble and R. Stevens. The Design and Realisation of the myExperiment Virtual Research Environment for Social Sharing of Workflows Future Generation Computer Systems 25, pp. 561-567.

• S. Bechhofer, I. Buchan, D De Roure et al. Why linked data is not enough for scientists, Future Generation Computer Systems

• D. De Roure, David and C. Goble, Anchors in Shifting Sand: the Primacy of Method in the Web of Data. WebSci10, April 26-27th, 2010, Raleigh, NC, US.

• D. De Roure, S. Bechhofer, C. Goble and D. Newman, Scientific Social Objects, 1st International Workshop on Social Object Networks (SocialObjects 2011).

• D. De Roure, K. Belhajjame, P. Missier, P. et al Towards the preservation of scientific workflows. 8th International Conference on Preservation of Digital Objects (iPRES 2011).

• Carole A. Goble, David De Roure and Sean Bechhofer Accelerating scientists’ knowledge turns. Will be available at www.springerlink.com

• Khalid Belhajjame, Oscar Corcho, Daniel Garijo et al Workflow-Centric Research Objects: First Class Citizens in Scholarly Discourse, SePublica2012 at ESWC2012, Greece, May 2012

• Kevin R. Page, Ben Fields, David De Roure et al Reuse, Remix, Repeat: The Workflows of MIR, 13th International Society for Music Information Retrieval Conference (ISMIR 2012) Porto, Portugal, October 8th-12th, 2012


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