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Office of Scholarly Communication So, what’s it all about then? Why we share data Jisc Research Data Network meeting Corpus Christi College, Cambridge University 6 September 2016 Dr Danny Kingsley @dannykay68 Head of Scholarly Communication University of Cambridge

So, what's it all about then? Why we share research data

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Page 1: So, what's it all about then? Why we share research data

Office of Scholarly Communication

So, what’s it all about then?Why we share data

Jisc Research Data Network meetingCorpus Christi College, Cambridge University6 September 2016

Dr Danny Kingsley @dannykay68Head of Scholarly CommunicationUniversity of Cambridge

Page 2: So, what's it all about then? Why we share research data

Why are we here?

WhatWhere

When

WhyHow

Page 3: So, what's it all about then? Why we share research data

Sharing data

What

WhereWhen

WhyHow

Making data available for other researchers

Openly accessible repositories

As close to publication as possible

The focus of today’s meeting

What this talk is about – contextualise

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Drivers for data sharing

Image by Danny Kingsley

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Drivers for data sharing

Image by Danny Kingsley

Funders – return on investment + better quality data

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Drivers for data sharing

Image by Danny Kingsley

Funders – return on investment + better quality data

Researchers – cultural expectations the ‘right’ thing to do

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Blockers to good research

Image by Danny Kingsley

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Data Excuse Bingo

Data Excuse Bingo created by @jenny_molloy

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Incompatible!

Data Excuse Bingo created by @jenny_molloy

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‘My data is not very interesting’

• 2005 - Professor Simon Deakin part of a team doing research on the effects of legal reforms to shareholder, creditor and worker rights made their datasets available

• To date, ~50 academic papers published re-using the datasets

• Organisations include: the International Labour Organization, Asian Development Bank, and The World Bank

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‘Someone might steal/plagiarise it’

‘A second concern held by some is that a new class of research person will emerge — people who had nothing to do with the design and execution of the study but use another group’s data for their own ends, possibly stealing from the research productivity planned by the data gatherers, or even use the data to try to disprove what the original investigators had posited. There is concern among some front-line researchers that the system will be taken over by what some researchers have characterized as “research parasites.”’EDITORIAL ‘Data Sharing’, Dan L. Longo, M.D., and Jeffrey M. Drazen, M.D. N Engl J Med 2016; 374:276-277January 21, 2016 DOI: 10.1056/NEJMe1516564

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Case study

• Cambridge is a partner institution in the Jisc Data Asset Framework (DAF) surveys– Contributed to survey question

development– Organised ethical clearance– Heavily promoted the survey– 440 responses out of the total of 1185

(37% of the responses) came from Cambridge

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Partners?

We broke our own rule – we did not discuss this before-hand and assumed an arrangement that didn’t exist. A beginners’ mistake.We would have used a non-proprietary repository.

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Risk of scooping?• And we would have waited. (To give

the team time to write a couple of papers)

https://figshare.com/articles/Data_asset_framework_DAF_survey_results_2016/3796305/2

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The bigger problem

This is what I am going to discuss for the rest of this presentation

Researchers are in a rat race to stay ahead

Image by Danny Kingsley

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Series of blogs published during July & Augusthttps://unlockingresearch.blog.lib.cam.ac.uk/?page_id=2#OpenResearch

The Case for Open Research

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The coin in the realm of academia

Image Flickr – Leo Reynolds

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Journal Impact Factor

Impact Factor for 2015 is– Number of citations in 2014 of articles

published in 2012-2013 divided by:– Number of articles published in the

journal in 2012-2013Image by Danny Kingsley

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San Francisco Declaration on Research Assessment

• Themes– The need to eliminate the use of journal-based metrics,

such as Journal Impact Factors, in funding, appointment, and promotion considerations;

– The need to assess research on its own merits rather than on the basis of the journal in which the research is published; and

– The need to capitalize on the opportunities provided by online publication (such as relaxing unnecessary limits on the number of words, figures, and references in articles, and exploring new indicators of significance and impact).

• http://www.ascb.org/dora/ • >12,000 individuals & >800 organisations

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This is one of the big problems

Image by Danny Kingsley

The insistence on the need to publish novel results in high impact journals is creating a multitude of problems with the scientific endeavour

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Hyperauthorship

http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.191803

24 of the 33 pages of this paper listed the over 5,000 authors (nine pages are the paper itself)

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Speaking of other ways of measuring…

http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.191803

This Altmetrics score of 579 is “in the top 5% of all research outputs scored by Altmetric”

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Blogged because of author list!

https://aps.altmetric.com/details/3997327/blogs

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Reproducibility

Scientists are very rarely rewarded for being right, they are rewarded for publishing in certain journals and for getting grants.Image by Danny Kingsley

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The nine circles of scientific hell (with apologies to Dante and xkcd)

Neuroskeptic Perspectives on Psychological Science 2012;7:643-644

Copyright © by Association for Psychological Science

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Retraction

• According to Retraction Watch http://retractionwatch.com/ there are 500-600 retractions a year

• Only 5% of publicly available versions (non-publisher websites) of retracted works have a retraction statement attached http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411255/

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Correlation between impact factor and retraction index.

Ferric C. Fang, and Arturo Casadevall Infect. Immun. 2011;79:3855-3859

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Time for a change

‘Richard Smith: Another step towards the post-journal world’ BMJ blog, 12 Jul, 16

Image by Danny Kingsley

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Distribute the load

Photo from Flickr – by Andy

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Register trials

https://clinicaltrials.gov/

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Peer review of methodology

http://neurochambers.blogspot.co.uk/2012/10/changing-culture-of-scientific.html

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Increased transparency

Cell Press - redesigned methods section to help authors clearly communicate how experiments are conducted. http://www.eurekalert.org/pub_releases/2016-08/cp-cpt082516.php

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Open data

• “Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner.”

• RCUK Common Principles on Data Policyhttp://www.rcuk.ac.uk/research/datapolicy/

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Science Matters

https://www.sciencematters.io/

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Putting money where their mouth is

• Wellcome Open Research wellcomeopenresearch.org/

• Authors can “rapidly publish all outputs from their research – everything from standard research articles and data sets to case reports, protocols, and null and negative results.”

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It is all connected

• Increasing access to data is part of a much bigger agenda to overhaul how research is shared, assessed and ultimately practiced.

• You are part of a revolution. Image by Danny Kingsley

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Questions/Discussion

• Thanks!

Dr Danny KingsleyHead of Scholarly CommunicationUniversity of Cambridge@dannykay68