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Professor David de Roure, professor of e-research, Oxford e-research centre
Citation preview
David De Roure
The Wider Environment ofOpen Scholarship – Looking Ahead
A revolutionary idea…Open Science!
rstl.royalsocietypublishing.org
Overview
1. Shifts in scholarship
2. End of the article
3. Future of the article
4. Scholarly Social Machines
The Big Picture
More people
Mor
e m
achi
nes Big Data
Big Compute
Conventional Computation
“Big Social”Social Networks
e-infrastructure
Online R&D(Science 2.0)
Social Machines
@dder
?
Edwards, P. N., et al. (2013) Knowledge Infrastructures: Intellectual Frameworks and Research Challenges. Ann Arbor: Deep Blue. http://hdl.handle.net/2027.42/97552
Chr
istin
e B
orgm
an
Pip Willcox
@marstonbikepath
Datasets or dataflows?
F i r s t
theODI.org
New Social Process
http://www.theguardian.com/uk/series/reading-the-riots
www.zooniverse.org
Scientists
TalkForum
ImageClassification
data reduction
Citizen Scientists
Community Software
Supercomputer
Digital Music Collections
Student-sourced ground truth
Community Software
Linked Data Repositories
Supercomputer
23,000 hours ofrecorded music
Music InformationRetrieval Community
SALAMI
Pip Willcox
FUSING AUDIO AND SEMANTIC TECHNOLOGIES forINTELLIGENT MUSIC PRODUCTION AND CONSUMPTION
Interdisciplinary and “in the wild”
In it not on it Pull not Push
http://www.scilogs.com/eresearch/pages-of-history/ David De Roure
1. It was no longer possible to include the evidence in the paper – container failure!
“A PDF exploded today when a scientist tried to paste in the twitter firehose…”
2. It was no longer possible to reconstruct a scientific experiment based on a paper alone
4. Research records needed to be readable by computer to support automation and curation
A computationally-enabled sense-making network of expertise, data, models and narratives.
5. Single authorship gave way to casts of thousands
8. Research funders frustrated by inefficiencies in scholarly communication
An investment is only worthwhile if• Outputs are discoverable• Outputs are reusable…and preferably outputs accrue value through use
Using an obsolete scholarly communication system impedes innovation and hence return on investmentWhat are we doing about it?Trying to fix it using an obsolete scholarly communication system!
data
methodscript
program
workflowmodel
protocol
…
Nei
l Chu
e H
ong
Open Source Software as a model for Open Scholarship?
Research Objects
ComputationalResearch Objects
The Evolution of myExperiment
WorkflowsPacks O
AIO
RE
W3C PRO
V
Social Objects
Notifications and automatic re-runs
Machines are users too
AutonomicCuration
Self-repair
New research?
http://commons.wikimedia.org/wiki/File:Stacks_in_Michigan_State_University_library.JPG
Executable Documents
Knuth, Literate Programming
The R Dimensions
Research Objects facilitate research that is reproducible, repeatable, replicable, reusable, referenceable, retrievable, reviewable, replayable, re-interpretable, reprocessable, recomposable, reconstructable, repurposable, reliable, respectful, reputable, revealable, recoverable, restorable, reparable, refreshable?”
@dder 14 April 2014
sci method
access
understand
new use
social
curation
Research Object
Principles
Real life is and must be full of all kinds of social constraint – the very processes from which society arises. Computers can help if we use them to create abstract social machines on the Web: processes in which the people do the creative work and the machine does the administration... The stage is set for an evolutionary growth of new social engines. The ability to create new forms of social process would be given to the world at large, and development would be rapid. Berners-Lee, Weaving the Web, 1999 (pp.
172–175)
Social Machines
SOCIAM: The Theory and Practice of Social Machines is funded by the UK Engineering and Physical Sciences Research Council (EPSRC) under grant number EPJ017728/1 and comprises the Universities of Southampton, Oxford and Edinburgh. See sociam.org
ScholarlyMachinesEcosystemDavid De Roure, JCDL 2013
Richard O’Bierne
“Yet Wikipedia and its stated ambition to “compile the sum of all human knowledge” are in trouble. The volunteer workforce that built the project’s flagship, the English-language Wikipedia—and must defend it against vandalism, hoaxes, and manipulation—has shrunk by more than a third since 2007 and is still shrinking… The main source of those problems is not mysterious. The loose collective running the site today, estimated to be 90 percent male, operates a crushing bureaucracy with an often abrasive atmosphere that deters newcomers who might increase participation in Wikipedia and broaden its coverage…”
http://www.technologyreview.com/featuredstory/520446/the-decline-of-wikipedia/
A computationally-enabled sense-making network of expertise,
data, software, models and narratives
Iain Buchan
1. Shifts in scholarship– A “turn” or ongoing transformation?
2. End of the article– Don’t retrofit digital, think post-digital
3. Future of the article– Social Objects in a sensemaking network of humans
and machines– Evolution or the other side of the road?– Affordances of digital
4. Social Machines– Humans in the loop, empowered– You are designers of scholarly social machines
Thanks to Richard O’Bierne, Christine Borgman, Iain Buchan, Neil Chue Hong, Carole Goble, Chris Lintott, Nigel Shadbolt, Pip Willcox, Jun Zhao; FORCE11, myExperiment, Software Sustainability Institute, wf4ever, SOCIAM; Andrew W. Mellon Foundation, JISC, EPSRC, ESRC, AHRC.
[email protected]/people/dder@dder
www.oerc.ox.ac.ukwww.force11.org
www.researchobject.orgwww.software.ac.uk
sociam.org
www.oerc.ox.ac.uk
[email protected]@dder