twitter-workshop

Impact and discovery tips for scientists using Twitter, Zotero and many more.

Transcript

1. Science and the Web Simon Cockell @sjcockell Bioinformatics Support Unit @nclbsu http://bsu.ncl.ac.uk
2. The Internet and Science
4. User Generated Content and Networks
5. Folksonomies
6. Knowledge Discovery
7. Openness
8. Two key points
9. Isolation
10. Information
11. Social Networks
12. They’re networks (surprise!)
13. Completeness Matters
14. Network effects
15. “Facebook for Scientists”
16. … or for the purposes of this talk…
17. “Facebook for Scientists”
18. On the (awesome) power of Twitter
21. The long tail Topic Popularity
22. The long tail Topic Popularity ‘Directioners’
23. The long tail Topic Popularity Celebrity Lunches
24. The long tail Topic Popularity Actual useful stuff
25. The Practicalities of Twitter
26. Signing up
27. Twitter Profile Why would I follow this account? No comment.
28. Anatomy of a tweet
29. Anatomy of a tweet
30. Anatomy of a tweet
31. Anatomy of a tweet
32. Anatomy of a tweet
33. Anatomy of a tweet
34. Anatomy of a tweet
35. Posting a Tweet
36. Replies and Mentions Reply Mention
37. Twitterstorms
38. Retweets and Quoting
39. #Hashtags #acwri #phdchat #ecrchat #overlyhonestmethods #scholarsunday #icanhazpdf #shutupandwrite #openscience #figureclub #bioinformatics
40. Folksonomies
41. Tagging is useful elsewhere too
42. diigo.com
43. Scientific Literature http://pubmed.org/22522561 http://dx.doi.org/10.1038/nm.2692 http://www.nature.com/nm/journal/vaop/ncurrent/full/nm.2692.html
44. CiteULike
45. Zotero
47. Citation management http://www.zotero.org/
48. BBC-Style Disclaimer • Mendeley – Free – Publisher owned (Elsevier) • Papers – Not free – Publisher owned (Springer) • ReadCube – Free – Publisher owned (Nature Macmillan) • *shudder* EndNote – Not free – Publisher owned (Thomson Reuters)
49. Knowledge Discovery
50. Really Simple Syndication R S S
51. RSS
52. http://www.feedly.com/
54. Openness
55. http://ifttt.com/
56. http://ifttt.com/
57. http://ifttt.com/
58. Web openness fosters innovation
59. A story about open science
60. #arseniclife
61. #arseniclife
62. #arseniclife If this data was presented by a PhD student at their committee meeting, I'd send them back to the bench to do more cleanup and controls.
63. #arseniclife
64. #arseniclife
65. Everyday Openness The RCUK Policy on Open Access aims to achieve immediate, unrestricted, on-line access to peer-reviewed and published research papers, free of any access charge. Our vision is for all users to be able to read published research papers in an electronic format and to search for and re-use (including download) the content of published research papers, both manually and using automated tools (such as those for text and data mining), provided that any such re-use is subject to full and proper attribution. http://www.rcuk.ac.uk/documents/documents/RCUKOpenAccessPolicy.pdf
66. Everyday Openness BBSRC expects research data generated as a result of BBSRC support to be made available with as few restrictions as possible in a timely and responsible manner to the scientific community for subsequent research. Applicants should make use of existing standards for data collection and management and make data available through existing community resources or databases where possible. http://www.bbsrc.ac.uk/organisation/policies/position/policy/data-sharing-policy.aspx
67. FigShare
68. Why share? • Well you might as well ask – Why go to a conference? • “At a conference the most important things happen in the coffee break” – Hans Ulrich Obrist – Why talk to colleagues? • The internet doesn’t have to be a distraction, it can be an extension of your peer group. A place to find and exchange relevant information, build your profile and do your job more efficiently
69. Focussed communities can have utility…
70. …though not as general social networks
71. Stack Exchange
72. biology.stackexchange.com
73. An example - BioStar http://biostars.org
74. Half an hour later...
75. Online Collaboration (crowd sourcing)
76. General Tips Mostly for Twitter, but true elsewhere
77. Behave like a real human Normal Human Scary clickbait robot
78. Stay ‘on message’ (mostly)
79. Tweet in moderation
80. Follow lots of people
81. Use a client
82. Twitter Impact
83. Twitter drives page views
84. But it’s about more than that
85. Twitter Analytics analytics.twitter.com
86. General ‘impact’ tips • Tweet your papers – Make titles ‘tweetable’ • Put your slides online – https://speakerdeck.com/sjcockell/twitter-workshop • Promote your Twitter – On slides, using hashtags, etc • Ensure high signal:noise – Links, images, videos etc increase engagement • Timing is important • Everything in moderation
87. General ‘discovery’ tips • Use a good client – Tweetdeck is great – there are loads of others • Follow lots of people – Make lists of most important/valuable • Track important hashtags • Remember Twitter is ‘live’ – Important things will come by more than once • Participate, don’t just observe – People might actively send you interesting stuff
88. Care what Google ‘says’ about you
89. Reputation Management
90. Reputation Management
91. Fin.