Title: eResearch South Workshop
1Open Science at Web-Scale Breaking all
Barriers? Dr Liz Lyon, Director, UKOLN,
University of Bath, UK Associate Director, UK
Digital Curation Centre eResearch Australasia,
November 2009 .
UKOLN is supported by
This work is licensed under a Creative Commons
LicenceAttribution-ShareAlike 2.0
2UKOLN / DCC Consultative Report Six areas for
consultation Published 10 Nov
http//www.jisc.ac.uk/publications/documents/opens
ciencerpt.aspx
3Roadmap
- Research Data Signposts Directions of travel
- Barriers, Fuel or Freeway Scale, Openness,
Attribution - Capacity and Capability Driving
transformational change
http//www.flickr.com/photos/lenakorsnes/3284269/
4Research Data Signposts Directions of travel
http//www.flickr.com/photos/leongsoong/2429599748
/
5http//containerconversions.com/container-gallery.
php?cat15
Your data in their Cloud?
6all too many observations lie isolated and
forgotten on personal hard drives and CDs trapped
by technical, legal and cultural barriers...
7Share my data?
8November 2009
Why? Lack of awareness of potential?
Reluctance to collaborate and share?
9The slow socialisation of science
- Science as a social activity
- Tweet
- Blog
- Comment
- Rate
- Vote
- Recommend
- Tag
- Share
- Mash
- Inter-institutional collaboration better
science (Brian Uzzi, 2008) - Team science at Web-Scale?
10Barriers, Fuel or Freeway
- Scale
- Openness
- Attribution
http//www.flickr.com/photos/natmeister/2153749348
/
11(No Transcript)
12- Pacific Biosciences California
- Next-next generation sequencing
- Single molecule sequencers
- Complete human genome in 15 minutes by 2013
13Multi-scale from Diamond Light Source ..
14..to the Laboratory bench
15- Infrastructure for Integration in the Structural
Sciences (I2S2) - Bridging the chasm between large scale
facilities and the laboratory bench - Integrated Information Model based on the Core
Scientific MetaData Schema and the DCC Curation
Lifecycle Model - Use cases and Inter-disciplinary Pilots
- Cost-benefit analysis before and after
16Transcalar 4D data modelling of pancreatic
organogenesis in mouse Virtual pancreas
computational model anticipates in vivo
biological findings
17- Citation of models?
- Curation preservation of models?
72 partners (Europe) gt40 models (coastal seas) gt
15 institute feeds
18Validation verification? Societal implications?
We can accurately estimate the current level of
weekly influenza activity in the US with a
reporting lag of about one day.
19Barriers, Fuel or Freeway
- Scale
- Openness
- Attribution
http//www.flickr.com/photos/natmeister/2153749348
/
20Continuum of Openness
Participation
Citizen science
Volunteers interested amateurs
Professional, experts
Lone scholar
dark data
Access
Open access
Closed
Creative Commons Attribution-Non-Commercial-Share
Alike 2.0
21Radical? Fringe? Transferable to other
disciplines?
22Peer Production
Can this model be applied to other disciplines?
Cost benefits?
23An early citizen scientist?
24110 years later Still engaging the public in
science....
25(No Transcript)
26Working with professional scientists
27How can scientists learn from citizen journalists?
28Privacy issues?
29You have zero privacy anyway. Get over it
- Scott McNealy, CEO Sun Microsystems, 1999
30Solve puzzles for science
31Crowdsourcing science?
32Collaboration market New business model?
33Costs? Benefits? Risks?
- Attitudes to citizen science?
- Strategy policy implications for funders?
- Impact on research quality?
- Societal implications?
34Barriers, Fuel or Freeway
- Scale
- Openness
- Attribution
http//www.flickr.com/photos/natmeister/2153749348
/
35- H Factor from Google Scholar
- Grant/Manuscript Review Factor cumulated
authenticated reviews - Annotations/Software/Datasets Factor cumulated
entries to OA archive (data, sequences, software) - Web Factor authenticated blog / wiki posts
36- Formal recognition?
- Incentive and reward structure?
- Research funder position?
- Publisher / learned society view?
Dec 16, Washington DC
37Capacity and Capability Driving
transformational change
http//www.flickr.com/photos/31601954_at_N07/29605170
39/
38Research Infrastructure primary components
People
Skills
Workflows
Research Infrastructure
Process
Data
Services
Is your institution ready for open science at
Web-Scale?
39New academic structures?
New policies?
IPR issues?
40Library and Information Services roles?
Open Science at Web-Scale Report 2009
41New roles, new skills, new curricula?
Advocacy support?
42Data Informatics Logistics dilemma
Capacity
Annotation
Audit
Community curation
Data cleansing
Data management plans
Peer production
Metadata schema
Observations
Ontologies
Preservation
Data scientists , LIS
Selection Appraisal
Training
Visualisation
Professional scientist
Capability
Professional scientist
Citizens
Volunteers, interested amateurs
Creative Commons Attribution-Non-Commercial-Share
Alike 2.0
43Take homes
- Open Science accessible data wider
participation - We need new metrics
- Are our institutions ready?
- Capacity Capability
- Articulate range of values and benefits
http//www.flickr.com/photos/dtmateojr/3835521363/
44For Rosalind Franklin
http//www.britannica.com/EBchecked/topic-art/2173
94/99712/Rosalind-Franklin
For whom, open science came too late...
http//profiles.nlm.nih.gov/KR/B/B/H/K/
45Moving to Multi-Scale Science Managing
Complexity Diversity
Thank you Slides will be available at
http//www.ukoln.ac.uk/ukoln/staff/e.j.lyon/pres
entations.htmlhttp//www.dcc.ac.uk/