data diving: understanding reputation management for researchers

Data diving: understanding cause and effect in reputation management

@charlierapple#uksg16

What isreputation?


Reputation opens (secret) doors

@charlierapple #uksg16

Reputation as brand

go-to person for dynamics

of dryland environment

s

How can we better support researchers’ brands?

How is reputation created?


Blogging

Industry engagement

Communicating via social media

Community contribution (e.g. activities for a professional body)

Editorship

Teaching

Winning funding / grants

Presenting at conferences

0% 20% 40% 60% 80%100%

How do academics

broadly rank activities in

terms of contribution to

reputation? (n = 2,748)

Contributes most:PublicationSpeakingCollaborationReviewing

Contributes least:

BloggingIndustry

MediaSocial media

Blogging

Industry engagement

Communicating via social media

Community contribution (e.g. activities for a professional body)

Editorship

Teaching

Winning funding / grants

Presenting at conferences

0% 20% 40% 60% 80%100%

How do academics

broadly rank activities in

terms of contribution to

reputation? (n = 2,748)

Contributes most:PublicationSpeakingCollaborationReviewing

Contributes least:

BloggingIndustry

MediaSocial media

“When you see the CVs of big

academics, they’ve done all these things. It wasn’t a strategy – they just did them.”


“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@charlierapple#uksg16

“Social mediareputation”democratizes

The role and visibility of publications

In the bubbleIm

age credit: Unicorn on Roller Skates by Laughing Stock via Drawception

Impact factors don’t mean anything!

It’s about the quality of the work, not the brand of the

journal@charlierapple#uksg16

In realityIm

age credit: Supergirl Shadow by Jason Ratliff

OMG turns out she’s not just a

temp, she’s had a paper in Nature!


I believe the visibility, usage or impact of

my articles could be significantly im-

proved

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 know0%

10%

20%

30%

40%

50%

60%

49.91%38.50%

3.72%7.86%

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

improvedbe somewhat

improvednot be

improved

I don’t know

Conferences / meetingsAcademic networking / profile sites (e.g. ResearchGate, Mendeley, Academia.edu, Google Scholar, ORCID)

Conversations with colleaguesInstitutional websites / repositories

EmailSocial networking sites (e.g. LinkedIn, Twitter, Facebook)

Your own blog / websiteSubject-based websites / repositories (e.g. arXiv, SSRN)

Posts on other blogs / websitesDiscussion lists

Multimedia sharing sites (e.g. Slideshare, YouTube)

0% 10% 20% 30% 40% 50% 60% 70% 80% 90%

In which of the following ways do you currently create awareness of or share materials relating to your work?

(n = 2,826)


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

Brief background: what is Kudos?

Plain language

explanations

Trackable links for sharing

Range of metrics against which to map efforts to

explain and share

18

Open vs closed communications

OPENchannels – nothing to

restrict visibility of sharing of work, except

time and effort in finding / following / filtering

CLOSEDchannels – very unlikely that publisher / institution will be connected with researcher

and have visibility of sharing efforts here

MEDIATEDchannels – possible, but less likely, for

publisher / institution to have visibility of

sharing

19@charlierapple#uksg16

Data diving challenges

has metadata

has metrics

has actions

Size and profile of dataset

overall pool test

group

20

Data diving challenges: control group

Treatment group Control group to share similar characteristics

#uksg16@charlierapple

21

Data diving challenges: appropriate tests


22

Data diving challenges: appropriate tests


23

Facebook Twitter LinkedIn Others

-30%

0%

30%

60%

90%

# publications with share actions in Kudosn = 4,610Publication can be shared in more than one channel

Facebook is more commonly used for sharing academic

work than you might expect

Channels used

% o

f pub

licat

ions

shar

ed in

this

chan

nel

But links shared via LinkedIn

are most likely to be clicked.429 .564

.604


ATTENTION INTEREST DESIRE ACTION

A proposed spectrum for metrics (AIDA)


Can attention drive action? Yes!

Control group

Treatment group

0 20 40 60 80 100 120 140 160

n = 4,858

n = 4,866

Median full text downloads

121

149

Proactively explaining

and sharing work

increases downloads by

23%@charlierapple

thanks our survey partners

Find me at stand 50

charlie@growkudos.

com

blog.growkudos.

com

data diving: understanding reputation management for researchers

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