Social Media for Researchers

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Slides to support De Montfort University workshops for PhD students and early career researchers

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Social Media for Researchers

  1. 1. Social Media for Researchers Professor Richard Hall @hallymk1 rhall1@dmu.ac.uk Fraser Marshall DMU Information Officer fmarshall@dmu.ac.uk
  2. 2. 1. personal data, research & social media 2. case 1: social media and research management; 3. case 2: the potential of social networking sites for data collection; and 4. Case 3: the potential of social technologies for sharing/dissemination.
  3. 3. Any other business?
  4. 4. This is an increasingly live research space
  5. 5. • 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. • Jisc (2013). Social Media and Academia: http://bit.ly/1f2cka8 [with thanks to @mweller]
  6. 6. • UCL Social Networking Sites & Social Science Research Project: http://www.ucl.ac.uk/social-networking • Pew Research Centre: Social Networking: http://bit.ly/1iDjpC3 • London School of Economics Blogs: http://blogs.lse.ac.uk/ • DMU Commons: http://our.dmu.ac.uk/ • DMU/CELT Guidelines when using Social Media Technologies for Teaching http://bit.ly/1iDiIc2 • See also DMU Email, Internet and Social Media Policy (On Intranet > POD > Human Resources > Policies) • DMU Library Copyright pages: http://library.dmu.ac.uk/Support/Copyright/
  7. 7. Headlines • • • • • Frequent or intensive use is emerging/rare Researchers as ‘risk averse’ and ‘behind the curve in using digital technology’ Culture against using social media for either soft or hard publishing BUT almost all researchers have created a strong network of friends and colleagues Social media supports spontaneity and serendipity
  8. 8. Social or co-operative as resilient practice: 1. modular engagement; 2. inside diverse networks; 3. tied to feedback loops. Issues of trust, power, rules
  9. 9. Tools and stuff: http://www.rin.ac.uk/node/1009 Jisc (2014). Social Media for Beginners. http://bit.ly/1dILobg I like really simple overviews: http://bit.ly/1jX8S2t On how organisations use social media: http://bit.ly/yynf81 Information Commissioner’s Office, on social media and the DPA http://bit.ly/1b82SOP Research Information Network, guide on using social media for research: http://bit.ly/1ic9enM
  10. 10. What do you understand by social media or the social web? Which technologies do you use in your research? What for? Are they social? What are the ramifications of your work being social?
  11. 11. Personal Data, Research & Social Media
  12. 12. What is Personal Data?
  13. 13. 2 Classes of Data Class determines how data is handled
  14. 14. When can we process personal info?
  15. 15. When can we process sensitive personal info?
  16. 16. Special Conditions for Research S33 “Research, history & statistics” provides • Exemption from right of access to personal data • Right to hold data indefinitely • Enables processing for purposes other than for which collected • Where info doesn’t support decisions about data subjects • Not processed in way that might cause damage or distress to data subjects.
  17. 17. Rights of Data Subjects
  18. 18. The Data Protection Principles
  19. 19. Any Questions?
  20. 20. 1. Blogging for critique, comment, aggregation and testing ideas: http://jennifermjones.net/ 2. Amplifying networks using Twitter: http://twitter.com/#!/jennifermjones 3. Flickr as an image bank: http://www.flickr.com/photos/jenniferjones Case 1: JJ – testing ideas and building networks
  21. 21. Visualising data taken from the social web, based on connections/connectivity: http://blog.ouseful.info/ Visualising data from publications: http://bit.ly/kxlhPH Open data: http://bit.ly/gbzB3z and UK Government: http://data.gov.uk/ Case 2: open, data-driven research
  22. 22. Research critiques: http://richard-hall.org Hashtags in Twitter: managing trends: http://bit.ly/1f2iMOi Communities of Practice: Galaxy Zoo: http://www.galaxyzoo.org/ RunCoCo: http://projects.oucs.ox.ac.uk/runcoco/ The Social Science Centre: http://bit.ly/1jXc6Dc Case 3: open, collaborative research
  23. 23. A note on Twitter 'Highly Tweeted Articles Were 11 Times More Likely to Be Highly Cited’ (2012): http://bit.ly/woj8ob Analysis of science on social media service finds little correlation with standard measures of academic success (2013): http://bit.ly/18INZEo • • • • Connection and connectivity Serendipity Voice Echo chambers, reliability, validity and trust
  24. 24. On research in public http://bit.ly/1daaJ3G
  25. 25. http://snapey.our.dmu.ac.uk/
  26. 26. It’s your research. What issues do you foresee? Where might you start?
  27. 27. 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, power and ethics?
  28. 28. Social Media for Researchers by Professor Richard Hall is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

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