DREaM 5: Facets of DREaM

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Presentation by Louise Cook at the LIS DREaM final conference.

More information about this event is available at http://lisresearch.org/dream-project/dream-event-5-conference-monday-9-july-2012/

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  • “ Do you think me a learned, well-read man?” “ Certainly”, replied Zi-gong, “Aren’t you?” “ Not at all” said Confucius. “I have simply grasped one thread which links up the rest”. Cited in Manuel Castells, The Network Age.
  • Discuss how you were invited to Edinburgh in October 2011 to present a session on SNA. Hazel wanted a ‘game’ so you decided to replicate an exercise previously carried out with AHRC workshop attendants in Loughborough. This had illuminated the increased connectivity among attendants as the workshops progressed.
  • First round at Workshop 1 in October 2011. Repeated (with some minor changes to questionnaire wording) in 3 rd workshop in April 2012. Data collected using paper questionnaire – ideally use online. Note ‘awareness’ didn’t imply f2f contact. Anonymised results presented during afternoon session (for first workshop) – participants haven’t yet seen the second set of results…
  • Note pink are female, blue are male.
  • DREaM 5: Facets of DREaM

    1. 1. Facets of DREaM: an Analysis ofNetwork Development to Support UK LIS Research and Researchers Louise Cooke l.cooke@lboro.ac.uk @DrVanvanSenior Lecturer, Loughborough University
    2. 2. • Overview of the presentation: – A bit of background context – Data collection – Some results and their meaning – What does this tell us about DREaM and the LIS Research Coalition? – And what does it mean for us as individuals?
    3. 3. The Power of Networks• A brain is a society of very small, simple modules that cannot be said to be thinking, that are not smart in themselves. But when you have a network of them together, out of that arises a kind of smartness. Kevin Kelly
    4. 4. Social Network Analysis• Social Network Analysis: – A research technique that focuses on relationships between entities, rather than the attributes of the entities themselves – Underlying perspective that structure matters – by analysing network composition and the position of an actor within the network, we can gain a better understanding of the world around us
    5. 5. Some example uses in LIS• Some example uses in LIS: – Citation analysis – Technology diffusion and adoption – Knowledge management
    6. 6. Ethical Issues• Ethical issues: – Data cannot usually be collected anonymously, but it can be presented anonymously – but this can reduce the meaning and impact of the presentation – Relationship ties can be a sensitive issue! – Accurate interpretation of the meaning behind the data is key
    7. 7. The Data Collection• Data collection and analysis: – Participants’ ‘awareness of the other’s knowledge, expertise or experience’ – ‘Social or research-related interaction’ – Attribute data relating to gender and role – Data analysed using Ucinet software to calculate network statistics and Netdraw to visualise the results
    8. 8. Workshop 1: Awareness
    9. 9. Workshop 3: Awareness
    10. 10. Workshop 1: Awareness - roles Public Library Practitioner Academic Librarian Health Sector Practitioner Other Sector Librarian PhD Student Academic or University Researcher Other
    11. 11. Workshop 3: Awareness - roles Public Library Practitioner Academic Librarian Health Sector Practitioner Other Sector Librarian PhD Student Academic or University Researcher Other
    12. 12. Workshop 1: Interaction
    13. 13. Workshop 3: Interaction
    14. 14. Workshop 1: Interaction - roles Public Library Practitioner Academic Librarian Health Sector Practitioner Other Sector Librarian PhD Student Academic or University Researcher Other
    15. 15. Workshop 3: Interaction - roles Public Library Practitioner Academic Librarian Health Sector Practitioner Other Sector Librarian PhD Student Academic or University Researcher Other
    16. 16. Statistics: Overall Density• Statistics: Overall density – Awareness: • Workshop 1: 0.1854, average no. of ties 6.6767 • Workshop 3: 0.4216, average no. of ties 13.9118 – Interaction: • Workshop 1: 0.1944, average no. of ties 7.0 • Workshop 3: 0.3850, average no. of ties 12.7059
    17. 17. • What this indicates: – The DREaM events have been very successful in achieving the key aim of ‘developing a UK-wide network of LIS researchers’ – The combination of using social media and bringing people together face to face on a regular basis is an effective mode of network building – The central role of a few active individuals in maintaining momentum has been key to this success
    18. 18. Some questions and caveats• A caveat and some questions: – Network analysis is primarily based on quantitative metrics – we also need to investigate the qualitative indicators that help us to understand our network – The network patterns suggest network connections have been made successfully – but how do we ensure that these links are sustained and extended? – How important is it to you that they are?

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