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Social media and research management; or the potential of social networking sites for data collection; or the potential of social technologies for sharing Dr Richard Hall rhall1@dmu.ac.uk // @hallymk1
What do you understand by social media? Which technologies do you use in your research? What for? Are they social?
Carpenter et al. (2010).  Researchers of Tomorrow : Annual Report: 2009‐2010. Kroll and Forsman (2010).  A Slice of Research Life : Information Support for Research in the United States Procter et al. (2010).  If you build it, will they come?  How researchers perceive and use web 2.0 . Research Information Network, London. James et al. (2009).  The lives and technologies of early career researchers Harley et al. (2010).  Assessing the Future Landscape of Scholarly Communication : An Exploration of Faculty Values and Needs in Seven Disciplines.  UC Berkeley: Center for Studies in Higher Education. [with thanks to  @mweller ]
Headlines Frequent or intensive use is rare Researchers as ‘risk averse’ and ‘behind the curve in using digital technology’ Culture against using social media for soft or hard publishing BUT almost all researchers have created a strong network of friends and colleagues Social media supports spontaneity and serendipity
Social as resilient practice: modular engagement; diverse networks; tied to feedback loops
 
 
Tools and stuff:  http://www.rin.ac.uk/node/1009 and there is always wikipedia  http://en.wikipedia.org/wiki/Social_media#Examples   I like really simple overviews of tools and stuff:  http://www.commoncraft.com/videos#technology
Case 1: JJ and 2012 – testing ideas and building networks Blogging on Posterous for critique and comment and testing ideas:  http://jennifermjones.posterous.com/ Amplifying networks using Twitter:  http://twitter.com/#!/jennifermjones   Flickr as an image bank:  http://www.flickr.com/photos/jenniferjones   Bookmarking/sharing via Delicious:  http://www.delicious.com/caffeinebomb   Aggregation using WordPress:  http://jennifermjones.net/
Visualising data taken from the social web:  http://bit.ly/mbXVZ2   Visualising data from publications:  http://bit.ly/kxlhPH   Open data:  http://bit.ly/gbzB3z   Case 2: data-driven research
Critiques on public policy:  http://policyex.dmu.ac.uk/   Hashtags in Twitter: managing trends:  http://hashtags.org/humanrights   Communities of Practice: Galaxy Zoo  http://www.galaxyzoo.org/ RunCoCo:  http://projects.oucs.ox.ac.uk/runcoco/   Case 3: collaborative research
It’s your research. What issues do you foresee? Where might you start?
Does size matter? You are connected at a range of scales. How will you utilise that for research management, data collection and networking? How will you think about reliability, validity, trust and ethics?
Ravensbourne, 2008 Inclusive networks.  Hall , 2009; after Ravensbourne, 2008 Via  @mweller
Via  @pdp6
Licensing This presentation is licensed under a Creative Commons, Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales license See: http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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an introduction to social media and research

  • 1. Social media and research management; or the potential of social networking sites for data collection; or the potential of social technologies for sharing Dr Richard Hall rhall1@dmu.ac.uk // @hallymk1
  • 2. What do you understand by social media? Which technologies do you use in your research? What for? Are they social?
  • 3. Carpenter et al. (2010). Researchers of Tomorrow : Annual Report: 2009‐2010. Kroll and Forsman (2010). A Slice of Research Life : Information Support for Research in the United States Procter et al. (2010).  If you build it, will they come? How researchers perceive and use web 2.0 . Research Information Network, London. James et al. (2009). The lives and technologies of early career researchers Harley et al. (2010). Assessing the Future Landscape of Scholarly Communication : An Exploration of Faculty Values and Needs in Seven Disciplines. UC Berkeley: Center for Studies in Higher Education. [with thanks to @mweller ]
  • 4. Headlines Frequent or intensive use is rare Researchers as ‘risk averse’ and ‘behind the curve in using digital technology’ Culture against using social media for soft or hard publishing BUT almost all researchers have created a strong network of friends and colleagues Social media supports spontaneity and serendipity
  • 5. Social as resilient practice: modular engagement; diverse networks; tied to feedback loops
  • 6.  
  • 7.  
  • 8. Tools and stuff: http://www.rin.ac.uk/node/1009 and there is always wikipedia http://en.wikipedia.org/wiki/Social_media#Examples I like really simple overviews of tools and stuff: http://www.commoncraft.com/videos#technology
  • 9. Case 1: JJ and 2012 – testing ideas and building networks Blogging on Posterous for critique and comment and testing ideas: http://jennifermjones.posterous.com/ Amplifying networks using Twitter: http://twitter.com/#!/jennifermjones Flickr as an image bank: http://www.flickr.com/photos/jenniferjones Bookmarking/sharing via Delicious: http://www.delicious.com/caffeinebomb Aggregation using WordPress: http://jennifermjones.net/
  • 10. Visualising data taken from the social web: http://bit.ly/mbXVZ2 Visualising data from publications: http://bit.ly/kxlhPH Open data: http://bit.ly/gbzB3z Case 2: data-driven research
  • 11. Critiques on public policy: http://policyex.dmu.ac.uk/ Hashtags in Twitter: managing trends: http://hashtags.org/humanrights Communities of Practice: Galaxy Zoo http://www.galaxyzoo.org/ RunCoCo: http://projects.oucs.ox.ac.uk/runcoco/ Case 3: collaborative research
  • 12. It’s your research. What issues do you foresee? Where might you start?
  • 13. Does size matter? You are connected at a range of scales. How will you utilise that for research management, data collection and networking? How will you think about reliability, validity, trust and ethics?
  • 14. Ravensbourne, 2008 Inclusive networks. Hall , 2009; after Ravensbourne, 2008 Via @mweller
  • 16. Licensing This presentation is licensed under a Creative Commons, Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales license See: http://creativecommons.org/licenses/by-nc-sa/2.0/uk/