Open data for open scholarship - where we are

Open data for open scholarship: where are we?

Kevin Ashley Digital Curation Centre

www.dcc.ac.uk@kevingashley

[email protected]

Reusable with attribution: CC-BY The DCC is supported by Jisc

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My home – the DCC

• Mission – to increase capability and capacity for research data services in UK institutions

• Not just a UK problem – an international one

• Training, shared services, guidance, policy, standards, futures

2014-10-07 Kevin Ashley –Confoa-2014 - CC-BY

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Before where -

WHY?


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Data reuse stories

• The palaeontologist who saved years of work with archaeological data


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What a paleontologist looks at


Now100 million years ago

25m50m 75m

1m

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What a paleontologist looks at


Now100 million years ago

25m50m 75m

1mNow 1 million years

750,000500,000100,000

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What an archaeologist looks at


Now 1 million years

750,000500,000100,000

100,000 years ago75,00050,00025,000

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Data reuse stories


• The 19th-century ships logs that help us model climate change



The Old weather project

Data for research, not from research

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Data reuse stories


• The 19th-century ships logs that help us model climate change

• The ‘noise’ from research radar that mapped dust from Eyjafjallajökull


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Data reuse - messages


Often your data tells stories that your

publications do not

Not all data comes from other researchers

One person’s noise is another person’s signal

Discipline-bounded data discovery doesn’t give us

all we need or want

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Data reuse from Hubble


Kevin Ashley –Confoa-2014 - CC-BY 13

G8UK - Endorses OAOpen Data CharterPolicy Paper18 June 2013

2014-10-07

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Why does this matter?

• Research quality– How close can we get to

the truth?

• Research speed– How quickly can we get

to the truth?

• Research finance– How much does the

truth cost?

• Improving one or more of these is of interest to all actors:

• Researchers as data creators

• Researchers as data reusers

• Research institutions• Funders – hence

government and society2014-10-07 Kevin Ashley –Confoa-2014 - CC-BY


Open scholarship – the wider picture

• Not just about open papers, open data• Software, methods, workflows are all

important• Data need not be open – but its existence

must be• Data: DISCOVERABLE & REUSABLE

2014-10-07

Kevin Ashley –Confoa-2014 - CC-BY 162014-10-07

FUNDER POLICY

UNIVERSITY RESPONSE

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Funder requirements

• UK

• USA – NSF, NEH, NIH• Europe

• Denmark – in development• Most place burden on researcher

– some on the institution


http://www.epsrc.ac.uk/about/standards/researchdata/Pages/policyframework.aspx

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RCUK policy - The 1-minute version

• Research data are a public good – make openly available in timely & responsible way

• Have policies & plans. Data with long-term value should be preserved & usable

• Metadata for discovery & reuse. Link publications & data

• Sometimes law, ethics get in the way. We understand.• Limited embargos OK. Recognition is important –

always cite data sources• OK to use public money to do this. Do it efficiently.



DCC Policy Summary

http://www.dcc.ac.uk/resources/policy-and-legal



Research data centres are good value!

• See Jisc reports on ADS, BADC, UKDA:• Returns on investment between 400% and

1200%

2014-10-07

http://www.jisc.ac.uk/whatwedo/programmes/di_directions/strategicdirections/badc.aspx

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Research Data Centres – the solution!


MANY AREAS OF RESEARCH HAVE NO

DATA CENTRE TO SERVE THEM


INSTITUTIONAL SERVICES

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DCC guidance



Roles and Responsibilities

What data to keep

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Some example services

• Storage – persistent, shareable• Permanent, citeable identifiers• Data Management Planning (DMPOnline,

DMPTool)• Database as a service (e.g. Oxford ORDS)• Embed tools in Excel – Dataup, others• Workflow management - Taverna



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Make data creation easier


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Make data citable

• Making data available increases citations• Everyone – academic, funder, institution –

loves citations• Want evidence?

– Alter, Pienta, Lyle – 240%, social sciences *– Piwowar, Vision – 9% (microarray data)†– Henneken, Accomazzi – 20% (astronomy) #


† Piwowar H, Vision TJ. (2013) Data reuse & the open data citation advantage. PeerJ PrePrints 1:e1v1 http://dx.doi.org/10.7287/peerj.preprints.1v1

* Amy Pienta, George Alter, Jared Lyle, (2010) The Enduring Value of Social Science Research: The Use and Reuse of Primary Research Data.http://hdl.handle.net/2027.42/78307

# Edwin Henneken, Alberto Accomazzi, (2011) Linking to Data - Effect on Citation Rates in Astronomy. http://arxiv.org/abs/1111.3618

Kevin Ashley –Confoa-2014 - CC-BY 30http://dataintelligence.3tu.nl/en/home/

http://www

.sheffield.

ac.uk/is/re

search/pro

jects/

rdmrose

Choice of RDM training materials for librarians

Up-skilling for data

http://datalib.edina.ac.uk/mantra/libtraining.html

2014-10-07


Make data discoverable

• Data must be discoverable to be reused• Alone, or in conjunction with publication• Institutional catalogues, national data

registries – JISC is piloting through DCC• We are copying Australian approach

2014-10-07

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Pimp your data –

make it findable & reusable


Gking.harvard.edu/data

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Commercial services



SWEDEN

DENMARK?

CANADA

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My message to you

• Help researchers understand the benefits to them of sharing their data

• Help them discover & reuse data• Give them tools that help the process• Work to ensure they get credit for data

citation


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My message to researchers• The credit belongs to you• The data belongs to all of us• Share, and we all reap the

benefits


Technology

Open data for open scholarship - where we are