Upload
kevin-ashley
View
261
Download
0
Tags:
Embed Size (px)
Citation preview
Research data management:Benefits for the researcher,
Benefits for Society
Kevin Ashley Digital Curation Centre
www.dcc.ac.uk@kevingashley
Reusable with attribution: CC-BY The DCC is supported by Jisc
2
A summary
• Some benefits:– Citation & impact– Compliance with funders & regulation– Improving your research
• What stops us ?
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
3
An alternative summary
Being Selfish
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
What’s possible now
… and still benefiting others
Being Just Good Enough
Thanks to:Neil Chue Hong (@npch), Software Sustainability
InstituteORCID: 0000-0002-8876-7606
David Flanders (@dfflanders), Dr Steven Manos (DrStevenManos)
University of Melbourne.All my colleagues at the DCC
Cameron Neylon (@CameronNeylon)
“the active management and appraisal of data over the lifecycle of scholarly
and scientific interest”
Data management is part of good research practice
What is Research Data Management?
Plan
Create
Document
Use
Publish
Share
Slide by Sarah Jones, DCC
5
Should all data be open?
• NO• Many reasons – most to do with human
subjects• But data existence should always be open• Allows discovery & negotiation on use• Avoids pointless replication
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
Kevin Ashley – Warsaw data workshop - CC-BY
6http://www.flickr.com/photos/sethw/113073189/
95% of research results are never published
Slide: Cameron Neylon2015-06-22
Kevin Ashley – Warsaw data workshop - CC-BY 7
But if you could publish just data…
• You could gain benefit even from the experiments that fail – as long you got good data
• ‘Data papers’ are one way to achieve this
2015-06-22
Kevin Ashley – Warsaw data workshop - CC-BY 82015-06-22
Findable, citable data has value
• Important to link publications to data (and vice versa)• Increases citations – of data & publication• Increases reuse (hence value)• But effects exist even without publication, if data is:
– Archived– Citable– Discoverable
• All benefit – researcher; institution; publisher
9
Citability
• 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) #
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
† 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
10
Funders are making demands
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
11
Funder requirements
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
12
Regulatory requirements
• Data protection, freedom of information, research ethics – all apply to data
• If your data is badly managed:– Compliance is hard
• Know what you deleted (and why) as well as what you have
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
13
Because it’s good practice
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
“Data management is essential to
excellence in research”
Professor Charlotte Clarke, Associate Dean for Research, School of Health, Community and Education Studies
Apart from the benefits for research, good data
management is vital for many reasons:
accountability, security, appropriate data-sharing,
re-use protocols and preservation for example
Prof Julie McLeod, School of Computing, Engineering & Information Sciences
www.northumbria.ac.uk/browse/ne/uninews/datamanagement?view=Standard&news=archive
14
Finally…
• Well-managed data makes your research easier, now and in future
• Well-managed data is easier to share, more likely to be re-used
• ISharing data is good for you• It’s good for all of us• It isn’t as hard as you think – we’re here to
show you how!
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
Kevin Ashley – Warsaw data workshop - CC-BY
152015-06-22
Kevin Ashley – Warsaw data workshop - CC-BY
16
Roles and Responsibilities
What data to keep
2015-06-22
Kevin Ashley – Warsaw data workshop - CC-BY
172015-06-22How to cite data
What data to keep
18
Acquire research data skills
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
19
Data reuse - messages
2015-06-22 Kevin Ashley – Warsaw data workshop - CC-BY
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