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Rachel Bruce, Jisc, Kevin Ashley, DCC, Debra Hiom, University of Bristol &
Laurian Williamson, University of Sheffield
Mee...
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 other...
In reality…
Research Data Management 4
Social Scientist- “I have
notes, photos & video and
audio of subjects it would
take...
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 primar...
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Meeting the Research Data Management Challenge - Rachel Bruce, Kevin Ashley, Debra Hiom and Laurian Williamson - Jisc Digital Festival 2014

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Universities and researchers need to be able to manage research data effectively to fulfil research funders requirements and ultimately to contribute to research excellence. UK universities are comparatively well advanced in what is a global challenge, but none the less there needs to be further advances in university policy, technical and support services. This session will share best practice in research data management and information about key tools that can help to develop university solutions; and it will also inform participants about the latest Jisc initiatives to help build university research data services and shared services.

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

  1. 1. Rachel Bruce, Jisc, Kevin Ashley, DCC, Debra Hiom, University of Bristol & Laurian Williamson, University of Sheffield Meeting the Research Data Management Challenge
  2. 2. The growing pressure of data …2009 , 2010 Research Data Management 2
  3. 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. 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. 5. DUDs The data centre under the desk (or in a back pack) is not adequate. 5
  6. 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.

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