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Rachel Bruce, Jisc, Kevin Ashley, DCC, Debra Hiom, University of Bristol &
Laurian Williamson, University of Sheffield
Meeting the Research Data Management Challenge
The growing pressure of data …2009 ,
2010
Research Data Management 2
Why Research Data Management?
Research Data Management 3
•Research Excellence & Impact – data will be cited; used by others
including peers, other disciplines, the public, industry, in learning –
ability to meet global challenges; innovate & create new research
areas.
•Research integrity - replication, verification of research,
improvement of methods & results.
•Efficiency - save duplication of research effort, data creation &
therefore costs; ease of access & re-use.
•Managing risks – ability to meet FOI requests; protect reputation.
In reality…
Research Data Management 4
Social Scientist- “I have
notes, photos & video and
audio of subjects it would
take way too long to
anonymise it ”
Informatics
researcher- “ yes I will
share my data but
people should register;
& why change to the
Open Data Commons
licence I have a
bespoke licence I have
always used”
Philosopher- “I
don’t have data, I
annotate books”
Bio-scientist- “why
would I put my data in
a repository? I share it
informally with my
peers, no-one else
would understand it. “
Engineer “ I
have lots of
data but you
need a licence to
this bespoke
software to use
it”
DUDs
The data centre
under the desk (or
in a back pack) is
not adequate.
5
Discussion…
Research Data Management 6
•What components do you need in your research data
services?
•Where does the primary responsibility lie for delivering
each component?
•Who, if anyone, is responsible for overall coordination?
•& IF time , what do you perceive as the major common
pain point or two?WHAT WOULDYOU LIKE JiscTO DO?
•Try and capture on your flip charts.

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Meeting the Research Data Management Challenge - Rachel Bruce, Kevin Ashley, Debra Hiom and Laurian Williamson - Jisc Digital Festival 2014

  • 1. Rachel Bruce, Jisc, Kevin Ashley, DCC, Debra Hiom, University of Bristol & Laurian Williamson, University of Sheffield Meeting the Research Data Management Challenge
  • 2. The growing pressure of data …2009 , 2010 Research Data Management 2
  • 3. Why Research Data Management? Research Data Management 3 •Research Excellence & Impact – data will be cited; used by others including peers, other disciplines, the public, industry, in learning – ability to meet global challenges; innovate & create new research areas. •Research integrity - replication, verification of research, improvement of methods & results. •Efficiency - save duplication of research effort, data creation & therefore costs; ease of access & re-use. •Managing risks – ability to meet FOI requests; protect reputation.
  • 4. In reality… Research Data Management 4 Social Scientist- “I have notes, photos & video and audio of subjects it would take way too long to anonymise it ” Informatics researcher- “ yes I will share my data but people should register; & why change to the Open Data Commons licence I have a bespoke licence I have always used” Philosopher- “I don’t have data, I annotate books” Bio-scientist- “why would I put my data in a repository? I share it informally with my peers, no-one else would understand it. “ Engineer “ I have lots of data but you need a licence to this bespoke software to use it”
  • 5. DUDs The data centre under the desk (or in a back pack) is not adequate. 5
  • 6. Discussion… Research Data Management 6 •What components do you need in your research data services? •Where does the primary responsibility lie for delivering each component? •Who, if anyone, is responsible for overall coordination? •& IF time , what do you perceive as the major common pain point or two?WHAT WOULDYOU LIKE JiscTO DO? •Try and capture on your flip charts.

Editor's Notes

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