Data diving: understanding reputation management for researchers
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Transcript of Data diving: understanding reputation management for researchers
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Data diving: understanding cause and effect in reputation management
@charlierapple#uksg16
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What isreputation?
@charlierapple#uksg16
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Reputation opens (secret) doors
@charlierapple #uksg16
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Reputation as brand
go-to person for dynamics
of dryland environment
s
How can we better support researchers’ brands?
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How is reputation created?
@charlierapple#uksg16
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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
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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.”
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@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.”
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9@charlierapple#uksg16
“Social mediareputation”democratizes
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The role and visibility of publications
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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
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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!
@charlierapple#uksg16
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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
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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)
@charlierapple#uksg16
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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.
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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
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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
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19@charlierapple#uksg16
Data diving challenges
has metadata
has metrics
has actions
Size and profile of dataset
overall pool test
group
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20
Data diving challenges: control group
Treatment group Control group to share similar characteristics
#uksg16@charlierapple
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21
Data diving challenges: appropriate tests
#uksg16@charlierapple
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22
Data diving challenges: appropriate tests
#uksg16@charlierapple
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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
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But links shared via LinkedIn
are most likely to be clicked.429 .564
.604
@charlierapple#uksg16
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ATTENTION INTEREST DESIRE ACTION
A proposed spectrum for metrics (AIDA)
@charlierapple#uksg16
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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
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thanks our survey partners
Find me at stand 50
charlie@growkudos.
com
blog.growkudos.
com