Slide 1

Slide 1 text

Science and the Web Simon Cockell @sjcockell Bioinformatics Support Unit @nclbsu http://bsu.ncl.ac.uk

Slide 2

Slide 2 text

The Internet and Science

Slide 3

Slide 3 text

No content

Slide 4

Slide 4 text

User Generated Content and Networks

Slide 5

Slide 5 text

Folksonomies

Slide 6

Slide 6 text

Knowledge Discovery

Slide 7

Slide 7 text

Openness

Slide 8

Slide 8 text

Two key points

Slide 9

Slide 9 text

Isolation

Slide 10

Slide 10 text

Information

Slide 11

Slide 11 text

Social Networks

Slide 12

Slide 12 text

They’re networks (surprise!)

Slide 13

Slide 13 text

Completeness Matters

Slide 14

Slide 14 text

Network effects

Slide 15

Slide 15 text

“Facebook for Scientists”

Slide 16

Slide 16 text

… or for the purposes of this talk…

Slide 17

Slide 17 text

“Facebook for Scientists”

Slide 18

Slide 18 text

On the (awesome) power of Twitter

Slide 19

Slide 19 text

No content

Slide 20

Slide 20 text

No content

Slide 21

Slide 21 text

The long tail Topic Popularity

Slide 22

Slide 22 text

The long tail Topic Popularity ‘Directioners’

Slide 23

Slide 23 text

The long tail Topic Popularity Celebrity Lunches

Slide 24

Slide 24 text

The long tail Topic Popularity Actual useful stuff

Slide 25

Slide 25 text

The Practicalities of Twitter

Slide 26

Slide 26 text

Signing up

Slide 27

Slide 27 text

Twitter Profile Why would I follow this account? No comment.

Slide 28

Slide 28 text

Anatomy of a tweet

Slide 29

Slide 29 text

Anatomy of a tweet

Slide 30

Slide 30 text

Anatomy of a tweet

Slide 31

Slide 31 text

Anatomy of a tweet

Slide 32

Slide 32 text

Anatomy of a tweet

Slide 33

Slide 33 text

Anatomy of a tweet

Slide 34

Slide 34 text

Anatomy of a tweet

Slide 35

Slide 35 text

Posting a Tweet

Slide 36

Slide 36 text

Replies and Mentions Reply Mention

Slide 37

Slide 37 text

Twitterstorms

Slide 38

Slide 38 text

Retweets and Quoting

Slide 39

Slide 39 text

#Hashtags #acwri #phdchat #ecrchat #overlyhonestmethods #scholarsunday #icanhazpdf #shutupandwrite #openscience #figureclub #bioinformatics

Slide 40

Slide 40 text

Folksonomies

Slide 41

Slide 41 text

Tagging is useful elsewhere too

Slide 42

Slide 42 text

diigo.com

Slide 43

Slide 43 text

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

Slide 44

Slide 44 text

CiteULike

Slide 45

Slide 45 text

Zotero

Slide 46

Slide 46 text

No content

Slide 47

Slide 47 text

Citation management http://www.zotero.org/

Slide 48

Slide 48 text

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)

Slide 49

Slide 49 text

Knowledge Discovery

Slide 50

Slide 50 text

Really Simple Syndication R S S

Slide 51

Slide 51 text

RSS

Slide 52

Slide 52 text

http://www.feedly.com/

Slide 53

Slide 53 text

No content

Slide 54

Slide 54 text

Openness

Slide 55

Slide 55 text

http://ifttt.com/

Slide 56

Slide 56 text

http://ifttt.com/

Slide 57

Slide 57 text

http://ifttt.com/

Slide 58

Slide 58 text

Web openness fosters innovation

Slide 59

Slide 59 text

A story about open science

Slide 60

Slide 60 text

#arseniclife

Slide 61

Slide 61 text

#arseniclife

Slide 62

Slide 62 text

#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.

Slide 63

Slide 63 text

#arseniclife

Slide 64

Slide 64 text

#arseniclife

Slide 65

Slide 65 text

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

Slide 66

Slide 66 text

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

Slide 67

Slide 67 text

FigShare

Slide 68

Slide 68 text

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

Slide 69

Slide 69 text

Focussed communities can have utility…

Slide 70

Slide 70 text

…though not as general social networks

Slide 71

Slide 71 text

Stack Exchange

Slide 72

Slide 72 text

biology.stackexchange.com

Slide 73

Slide 73 text

An example - BioStar http://biostars.org

Slide 74

Slide 74 text

Half an hour later...

Slide 75

Slide 75 text

Online Collaboration (crowd sourcing)

Slide 76

Slide 76 text

General Tips Mostly for Twitter, but true elsewhere

Slide 77

Slide 77 text

Behave like a real human Normal Human Scary clickbait robot

Slide 78

Slide 78 text

Stay ‘on message’ (mostly)

Slide 79

Slide 79 text

Tweet in moderation

Slide 80

Slide 80 text

Follow lots of people

Slide 81

Slide 81 text

Use a client

Slide 82

Slide 82 text

Twitter Impact

Slide 83

Slide 83 text

Twitter drives page views

Slide 84

Slide 84 text

But it’s about more than that

Slide 85

Slide 85 text

Twitter Analytics analytics.twitter.com

Slide 86

Slide 86 text

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

Slide 87

Slide 87 text

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

Slide 88

Slide 88 text

Care what Google ‘says’ about you

Slide 89

Slide 89 text

Reputation Management

Slide 90

Slide 90 text

Reputation Management

Slide 91

Slide 91 text

Fin.