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Data diving: understanding reputation management for researchers

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As researchers take a more active approach to managing their reputation, what can the data generated by their activities tell us about the best ways to present research online? Many different parties across the scholarly communications community are seeking to understand the data in their respective systems, to determine cause and effect across a range of activities and outcomes. What pitfalls must be avoided, and how can we better integrate our efforts to maximize understanding of the tools to which researchers are turning to support career progression.

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Data diving: understanding reputation management for researchers

  1. 1. Data diving: understanding cause and effect in reputation management @charlierapple #uksg16
  2. 2. What is reputation? @charlierapple #uksg16
  3. 3. Reputation opens (secret) doors @charlierapple #uksg16
  4. 4. Reputation as brand go-to person for dynamics of dryland environments How can we better support researchers’ brands?
  5. 5. How is reputation created? @charlierapple #uksg16
  6. 6. 0% 20% 40% 60% 80% 100% Blogging Commercializing your… Industry engagement Engaging with the media Communicating via social… Consultancy Community contribution (e.g.… Mentoring Editorship Winning awards / prizes Teaching Peer-reviewing Winning funding / grants Collaboration Presenting at conferences Publication How do academics broadly rank activities in terms of contribution to reputation? (n = 2,748) Contributes most: Publication Speaking Collaboration Reviewing Contributes least: Blogging Industry Media Social media
  7. 7. 0% 20% 40% 60% 80% 100% Blogging Commercializing your… Industry engagement Engaging with the media Communicating via social… Consultancy Community contribution (e.g.… Mentoring Editorship Winning awards / prizes Teaching Peer-reviewing Winning funding / grants Collaboration Presenting at conferences Publication How do academics broadly rank activities in terms of contribution to reputation? (n = 2,748) Contributes most: Publication Speaking Collaboration Reviewing Contributes least: Blogging Industry Media Social media “When you see the CVs of big academics, they’ve done all these things. It wasn’t a strategy – they just did them.”
  8. 8. @charlierapple #uksg16 “Academia is a meritocracy, but it’s also about reputation management. More senior academics might not see this, but as a junior academic – and a woman – proactively managing your reputation is really important.”
  9. 9. 9@charlierapple #uksg16 “Social media reputation” democratizes
  10. 10. The role and visibility of publications
  11. 11. In the bubble Imagecredit:UnicornonRollerSkates byLaughingStockviaDrawception Impact factors don’t mean anything! It’s about the quality of the work, not the brand of the journal @charlierapple #uksg16
  12. 12. In reality Imagecredit:SupergirlShadowbyJasonRatliff OMG turns out she’s not just a temp, she’s had a paper in Nature! @charlierapple #uksg16
  13. 13. 49.91% 38.50% 3.72% 7.86%0% 10% 20% 30% 40% 50% 60% I believe the visibility, usage or impact of my articles could be significantly improved I believe the visibility, usage or impact of my articles could be somewhat improved I don’t believe that the visibility, usage or impact of my articles could be improved I don’t know To what extent do you think more could be done to increase the visibility, usage or impact of the work you publish, on or after publication? (n = 2,900) Visibility, usage, impact could… be significantly improved be somewhat improved not be improved I don’t know
  14. 14. 0% 20% 40% 60% 80% 100% Conferences / meetings Academic networking / profile sites (e.g.… Conversations with colleagues Institutional websites / repositories Email Social networking sites (e.g. LinkedIn, Twitter,… Your own blog / website Subject-based websites / repositories (e.g. arXiv,… Posts on other blogs / websites Discussion lists Multimedia sharing sites (e.g. Slideshare, YouTube) In which of the following ways do you currently create awareness of or share materials relating to your work? (n = 2,826) @charlierapple #uksg16
  15. 15. Actions = data = answers? Wee Kim Wee School of Communication and Information Thanks to the Altmetrics Research Team at the Centre for HEalthy and Sustainable CitieS (CHESS),Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore. The Altmetrics team at CHESS is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Science of Research, Innovation and Enterprise programme (SRIE Award No. NRF2014-NRF-SRIE001-019).Any opinions, findings, conclusions and/or recommendations expressed in this material are those of the author(s)and do not necessarily reflect the views of the Singapore National Research Foundation.
  16. 16. 16 Brief background: what is Kudos? Plain language explanations Trackable links for sharing Range of metrics against which to map efforts to explain and share
  17. 17. Clicks Traditional media
  18. 18. 18 Open vs closed communications OPEN channels – nothing to restrict visibility of sharing of work, except time and effort in finding / following / filtering CLOSED channels – very unlikely that publisher / institution will be connected with researcher and have visibility of sharing efforts here MEDIATED channels – possible, but less likely, for publisher / institution to have visibility of sharing
  19. 19. 19@charlierapple #uksg16 Data diving challenges has metadata has metrics has actions Size and profile of dataset overall pool test group
  20. 20. 20 Data diving challenges: control group Treatment group Control group to share similar characteristics #uksg16@charlierapple
  21. 21. 21 Data diving challenges: appropriate tests #uksg16@charlierapple
  22. 22. 22 Data diving challenges: appropriate tests #uksg16@charlierapple
  23. 23. 23 0% 30% 60% 90% Facebook Twitter LinkedIn Others # publications with share actions in Kudos n = 4,610 Publication can be shared in more than one channel Facebook is more commonly used for sharing academic work than you might expect Channels used %ofpublicationssharedinthischannel
  24. 24. But links shared via LinkedIn are most likely to be clicked.429 .564 .604 @charlierapple #uksg16
  25. 25. Clicks Traditional media ATTENTION INTEREST DESIRE ACTION A proposed spectrum for metrics (AIDA) @charlierapple #uksg16
  26. 26. Can attention drive action? Yes! 0 50 100 150 200 Control group Treatment group n = 4,858 n = 4,866 Median full text downloads 121 149 Proactively explaining and sharing work increases downloads by 23% @charlierapple
  27. 27. thanks our survey partners Find me at stand 50 charlie@ growkudos. com blog. growkudos. com

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