Evolution or revolution? The changing data landscape

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A centre of expertise in digital information management www.ukoln.ac.u k UKOLN is supported by: Evolution or revolution? The changing data landscape Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre 1 st DCC Regional Roadshow, Bath, November 2010 . This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0

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Presentation given by Liz Lyon (UKOLN) at the 1st DCC Regional Roadshow, Bath, UK in November 2010.

Transcript of Evolution or revolution? The changing data landscape

Page 1: Evolution or revolution? The changing data landscape

                                                             

A centre of expertise in digital information management

www.ukoln.ac.uk

UKOLN is supported by:

Evolution or revolution? The changing data landscape

Dr Liz Lyon, Director, UKOLN, University of Bath, UKAssociate Director, UK Digital Curation Centre

1st DCC Regional Roadshow, Bath, November 2010

.

This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0

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“Data sets are becoming the new instruments of science”

Dan Atkins, Univ Michigan

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Digital data as the new special collections?

Sayeed Choudhury, Johns Hopkins

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Research data : institutional

crown jewels?

http://www.flickr.com/photos/lifes__too_short__to__drink__cheap__wine/4754234186 /

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Perspectives• Environmental scan

– Scale and complexity– Infrastructure– Open science

• Policy– Funders– Institutions– Ethics & IP

• Practice Challenges– Storage– Incentives– Costs & Sustainability

http://www.flickr.com/photos/thegreenalbum/3997609142/

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Big science

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PDB

GenBank

UniProt

Pfam

Spreadsheets, NotebooksLocal, Lost

High throughput experimental methodsIndustrial scaleCommons based productionPublicly data setsCherry picked resultsPreserved

CATH, SCOP(Protein Structure Classification)

ChemSpider

Data collections

Slide: Carole Goble

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A centre of expertise in digital information management

www.ukoln.ac.uk

Structural Sciences Infrastructure

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Infrastructure Roadmap

Cross Organisations

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Infrastructure Roadmap

Cross Disciplines

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Infrastructure Roadmap

Open Science

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Open Laboratories

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A centre of expertise in digital information management

www.ukoln.ac.uk

• Faculty work with public • Smartphone apps facilitation

• Societal benefits

Citizen as scientist

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Validate results data

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Policy

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INCREMENTAL ProjectInstitutional perspective

• Creating & organising data• Storage and access• Back-up• Preservation• Sharing and re-use

The majority of people felt that some form of policy or guidance was needed....

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Jeff Haywood, RDMF V October 2010 http://www.dcc.ac.uk/sites/default/files/documents/RDMF/RDMF5/Haywood.pdf

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“While many researchers are positive about sharing data inprinciple, they are almost universally reluctant in practice. ..... using these data to publish results before anyone else is theprimary way of gaining prestige in nearly all disciplines.” INCREMENTAL Project

“Data sharing was more readily discussed by early career researchers.”

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“In our view, CRU should have been more open with its raw data…”

Data is headline news

JISC FoI FAQ

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P4 medicine: Predictive,

Personalised, Preventive,

Participatory.Leroy Hood –

Institute for Systems Biology

Your genome is basis for your medical record

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Open data and ethics

• Direct-to-Consumer kits • Informed consent?• Privacy?• UC Berkeley initiative• Implications for HE students & staff?

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Policy Gaps...• Is Policy disconnected

from Practice?– Data Sharing – Data Licensing– Ethics and Privacy – Citizen Science & Public

Engagement– Data Storage, Selection

& Appraisal– Data Citation and

Attribution

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“Departments don’t have guidelines or norms for personal back-up and researcher procedure, knowledge and diligence varies

tremendously. Many have experienced moderate to catastrophic data loss”

Incremental Project Report, June 2010

http://www.flickr.com/photos/mattimattila/3003324844/

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Data storage...

The case for cloud computing in genome informatics. Lincoln D Stein, May 2010

– Scaleable– Cost-effective (rent on-demand)– Secure (privacy and IPR)– Robust and resilient– Low entry barrier / ease-of-use– Has data-handling / transfer /

analysis capability

• Cloud services?

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Your data in the cloud

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Incentivising data

management

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Sustainability:Who owns?Who benefits?Who selects?Who preserves?Who pays?

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KRDS

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Chicago Mart Plaza, 6-8 December 2010

Thank you…