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1. 2 Rewards are real … but few (yet) 3 The citation benefit intensified over time... ...with publications from 2004 and 2005 cited 30 per cent more

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Page 1: 1. 2 Rewards are real … but few (yet) 3 The citation benefit intensified over time... ...with publications from 2004 and 2005 cited 30 per cent more

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Page 2: 1. 2 Rewards are real … but few (yet) 3 The citation benefit intensified over time... ...with publications from 2004 and 2005 cited 30 per cent more

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Rewards are real … but few (yet)

Page 3: 1. 2 Rewards are real … but few (yet) 3 The citation benefit intensified over time... ...with publications from 2004 and 2005 cited 30 per cent more

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The citation benefit intensified over time... ...with publications from 2004 and 2005 cited 30

per cent more often if their data was freely available.

Every 100 papers with open data prompted 150 "data reuse papers" within five years

Original authors tended to use their data for only two years, but others re-used it for up to six years.

Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175 http://dx.doi.org/10.7717/peerj.175

Citations for related publications

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Recent developments …

And “The Code”

What will the next revision say about data?

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Enabling rewards

More rewards for data citation are on the horizon, but …

• We (and our funders) can’t reward what we don’t know about.

• Like publications, citation metrics can provide ‘evidence’ of impact and reach.

• Citation tracking products are in their infancy, but maturing quickly among commercial and not-for-profit organisations.

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Metrics

Journal article

Data? What data?

Book

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7http://www.info.sciverse.com/scopus/scopus-in-detail/tools

Data Citation Tracking – Scopus (not yet)

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8http://wokinfo.com/products_tools/multidisciplinary/dci/

http://wokinfo.com/products_tools/multidisciplinary/dci/

Released Nov 2012

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Thomson Reuters recommends citing this resource as: Global Soil Data Task (2000): GLOBAL GRIDDED SURFACES OF SELECTED SOIL CHARACTERISTICS (IGBP-DIS). Version 9.0. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. http://dx.doi.org/10.3334/ORNLDAAC/569

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Page 11: 1. 2 Rewards are real … but few (yet) 3 The citation benefit intensified over time... ...with publications from 2004 and 2005 cited 30 per cent more

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Self Citation

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Cited by others

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RDA records to Data Citation Index

• ANDS is currently working closely with Thomson Reuters to enable a feed of RDA records to the Data Citation Index

• We have a number of institutions working with us as “early adopters” with the aim of having a BAU service in place Q2 2014.

• ANDS has also been talking with Elsevier as they develop their ‘Scopus’ data citation tracking capability.

• ANDS will provide this as a service (so you don’t need to!)

• Learn more at: http://ands.org.au/cite-data/dci.html

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14Image: http://commons.wikimedia.org

Traditional= impact

Formal citations in:H Index etcJournal Indexes

Slow

Metrics Alt-metricsAlternative metrics= reach, influence

“Likes” in:Social mediaSocial bookmarking

Fast

Measuring data citation

Measuring data citation

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Altmetrics

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….. people tweeting or sharing articles are not necessarily broadcasting the relevance of the articles to ongoing research, as citations are thought to do.

“That's the point of collecting altmetrics; the hope that they provide some insight beyond the things we usually look at. It's interesting to look at top-tweeted articles because that's evidence that there was something about them worth sharing,” ….

Nature doi:10.1038/nature.2013.14354

Do tweets count?

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Where are we up to?

• Products that track data citation metrics are rapidly evolving, but (more) authors need to cite data.

• While metrics are an enabler, our institutions and funding bodies also need to recognise and reward data sharing and reuse through policy and practice.

• This will further encourage good data citation practice.

• The wheel is turning and gaining momentum.

• Be on the ‘front foot’!

Image:almightydad.com

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Be ready for the rewards…

Ensure data is discoverable, reusable, citable and trackable

• Refer to the “readiness checklist”

• Describe data (well)

• Assign open licensing where possible (eg CC-BY)

• Preferably, assign a DOI to data

• Publish data (with descriptions)

• Encourage researcher to cite their own data in their publications

• Encourage researchers to cite data from other sources they’ve

reused

• Track reuse through altmetrics and indexing products

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Do we have a metadata catalogue?

Do we have a store of publicly available data?

Do our researchers regularly archive data?

Are our researchers interested in data citation?

Do our policy makers support data citation?

Are our datasets stable?

Do we have access to a developer to implement the tools?

Source: Dave Connell, Australian Antarctic Data Centre

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Is my organisation ready for data citation??

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Thank you &

Questions?

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