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1
Managing HKU Author Reputations,
Enhancing HKU’s Reputation
David Palmer
Scholarly Communications Team Leader
da The University of Hong Kong
2
Digital Presence, Digital Shadow
d“For the first time, the amount of
digital information generated
about people surpasses the
amount they create themselves”.
- The Diverse and Exploding Digital Universe,
An IDC white paper, 2008.
dInternet Footprint
dFindability
dIdentity exposure, disclosure
3
Online Reputation Management
dCybervetting
dOne bad apple…
4
Online Identity Management (OIM)
dImproving quantity & quality of
traffic to sites that have content
related to a person, cf. Search
Engine Optimization (SEO)
dIgnore?
 Previously, lost in anonymity
 Now,
♦ Search engine index & page rankings
♦ Any detail retrieved, in almost real
time
5
Meanwhile,
d Reputation & identity of the institution:
 University rankings
 RAE
 Peer Review
 Parent’s choice of school for child
 Recruiter’s choice
 Media spokesmanship
 Collaborative partnerships
 Contract research undertaken
 Funding received
 Etc.
6
The Reputation of the University?
7
HKU ResearcherPages
dKnowledge Exchange
 To make highly visible HKU
researchers and their research
 To promote KE between HKU and its
community
♦ Number of research outputs in OA
♦ Download counts
♦ Number of collaborative researches
♦ Number of contract researches
♦ Number of media contacts
♦ Etc.
8
9
10
11
Scopus HKU data – Rectification!
dOne individual might have 2 ~ 10
separate Scopus AuthorIDs
d2 ~ 10 like named individuals on
one Scopus AuthorID
dAffiliations errors
 The University of Hong Kong, Shatin
 Univ of HK, Japan
 Uni HK, Switzerland
 Etc.
12
13
www.ResearcherID.com
d1,500 current HKU researchers
dAcct creation
dPublication lists uploaded, from
HKU Research Output System
 First in the world to do so
 btw, also first in world to import
Scopus & ResearcherID metrics into
author profiles
14
Web Services to
Integrate with Workflow
Updated citation counts, profile
and publication data flow into
institutions
• Unique identifier for each researcher
• Researchers maintain control of
information and privacy
• Current updated Web of Science
citation counts into institutional
repositories and systems
機関により RID プロファイルが自動
生成されます
• 各研究者の為、ユニークな識別子
• 研究者は自身で公開情報を管理・コントロ
ールできます
• Web of Scienceで更新された被引用数が、
機関リポジトリあるいはシステムと同期さ
れます
Institution automatically
creates RID profiles
アップデートされた被引用数、プロファイ
ル、文献情報が機関に取り込まれます
Slide, courtesy of Thomson Reuters.
スライドはThomson Reutersの好意による
HKU
港大
ウェブサービスをワーク
フローに統合
15
16
17
18
HKU Authors now have,
dAwareness of their digital presence
in Scopus, Web of Science, and
HKU ResearcherPages
dIncentive to make accurate
complete record
dTools to do so
19
Authority control, main & variants
d 典拠と同義との階層
 典拠形標目
 異なる形の標目
d 各言語の間、同義リンク
 ローマ字、繁體中文、简体
中文、和文、한국어、等
(UTF8)
d Hierarchy of Authority &
Synonymy
 Authorized headings
 Variant headings
d Multi-script Synonymy
 Roman, Traditional
Chinese, Simplified
Chinese, Japanese,
Korean, etc. (UTF-8)
20
Prof Paul Tam,
- Pro Vice-Chancellor (Research)
Research Interest: “Genomics”
d Relevant searches
usually appear at, or
near the top of the list.
21
Results: KE & Others
dHighly Visible research &
researchers
dResearch Assessment Exercise
dRankings, League Tables, etc
 ResearcherID moving to WoS and
other Thomson Reuters products
dORCID
dApplications for Grants
 Current Research Information System
(CRIS)
22
KE, Key Indicators of Success
d Item count of HKU theses in open access (OA)
d Item count of HKU research in OA
d Applications for patents
d Download counts of the above
d Number of staff available for media contact
d Number of collaborative researches
d Number of contract researches
d Number of consultancies, and income thereby generated
d Number of invited public lectures, symposia, exhibitions,
performances & honorary degree speeches
d Number of University staff invited to be mentors
d Number of positive media impact related to knowledge
transfer coverage, including print, online and electronic
media
d Number of appointments of external members to HKU
advisory boards
23
Online Reputation Management
d Collective Knowledge System
 HKU -- HKU authors
 Machine loads -- Individual editing
 Semantic Web – Social Web
 Local authority – Google Indexing &
page ranking
d HKU author reputations polished,
-- Reputation of HKU correspondingly
shines brighter
24
Terima Kasih
спасибо
‫لك‬ ‫شكرا‬
謝謝您
감사합니다
cảm ơn bạn
धन्यवाद
Σε ευχαριστώ
‫תודה‬
有り難うございます
Thank You
HKU Colleagues
港大同僚
da
25
dThis PPT & PDF are licensed under a
Creative Commons license. This license
permits non-commercial use of this work,
so long as attribution is given. For more
information about the license, visit
dhttp://creativecommons.org/licenses/by-
nc-sa/3.0/hk/
dArchived at,
 http://hub.hku.hk/handle/123456789/56562

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Managing HKU Author Reputations, Enhancing HKU’s Reputation

  • 1. 1 Managing HKU Author Reputations, Enhancing HKU’s Reputation David Palmer Scholarly Communications Team Leader da The University of Hong Kong
  • 2. 2 Digital Presence, Digital Shadow d“For the first time, the amount of digital information generated about people surpasses the amount they create themselves”. - The Diverse and Exploding Digital Universe, An IDC white paper, 2008. dInternet Footprint dFindability dIdentity exposure, disclosure
  • 4. 4 Online Identity Management (OIM) dImproving quantity & quality of traffic to sites that have content related to a person, cf. Search Engine Optimization (SEO) dIgnore?  Previously, lost in anonymity  Now, ♦ Search engine index & page rankings ♦ Any detail retrieved, in almost real time
  • 5. 5 Meanwhile, d Reputation & identity of the institution:  University rankings  RAE  Peer Review  Parent’s choice of school for child  Recruiter’s choice  Media spokesmanship  Collaborative partnerships  Contract research undertaken  Funding received  Etc.
  • 6. 6 The Reputation of the University?
  • 7. 7 HKU ResearcherPages dKnowledge Exchange  To make highly visible HKU researchers and their research  To promote KE between HKU and its community ♦ Number of research outputs in OA ♦ Download counts ♦ Number of collaborative researches ♦ Number of contract researches ♦ Number of media contacts ♦ Etc.
  • 8. 8
  • 9. 9
  • 10. 10
  • 11. 11 Scopus HKU data – Rectification! dOne individual might have 2 ~ 10 separate Scopus AuthorIDs d2 ~ 10 like named individuals on one Scopus AuthorID dAffiliations errors  The University of Hong Kong, Shatin  Univ of HK, Japan  Uni HK, Switzerland  Etc.
  • 12. 12
  • 13. 13 www.ResearcherID.com d1,500 current HKU researchers dAcct creation dPublication lists uploaded, from HKU Research Output System  First in the world to do so  btw, also first in world to import Scopus & ResearcherID metrics into author profiles
  • 14. 14 Web Services to Integrate with Workflow Updated citation counts, profile and publication data flow into institutions • Unique identifier for each researcher • Researchers maintain control of information and privacy • Current updated Web of Science citation counts into institutional repositories and systems 機関により RID プロファイルが自動 生成されます • 各研究者の為、ユニークな識別子 • 研究者は自身で公開情報を管理・コントロ ールできます • Web of Scienceで更新された被引用数が、 機関リポジトリあるいはシステムと同期さ れます Institution automatically creates RID profiles アップデートされた被引用数、プロファイ ル、文献情報が機関に取り込まれます Slide, courtesy of Thomson Reuters. スライドはThomson Reutersの好意による HKU 港大 ウェブサービスをワーク フローに統合
  • 15. 15
  • 16. 16
  • 17. 17
  • 18. 18 HKU Authors now have, dAwareness of their digital presence in Scopus, Web of Science, and HKU ResearcherPages dIncentive to make accurate complete record dTools to do so
  • 19. 19 Authority control, main & variants d 典拠と同義との階層  典拠形標目  異なる形の標目 d 各言語の間、同義リンク  ローマ字、繁體中文、简体 中文、和文、한국어、等 (UTF8) d Hierarchy of Authority & Synonymy  Authorized headings  Variant headings d Multi-script Synonymy  Roman, Traditional Chinese, Simplified Chinese, Japanese, Korean, etc. (UTF-8)
  • 20. 20 Prof Paul Tam, - Pro Vice-Chancellor (Research) Research Interest: “Genomics” d Relevant searches usually appear at, or near the top of the list.
  • 21. 21 Results: KE & Others dHighly Visible research & researchers dResearch Assessment Exercise dRankings, League Tables, etc  ResearcherID moving to WoS and other Thomson Reuters products dORCID dApplications for Grants  Current Research Information System (CRIS)
  • 22. 22 KE, Key Indicators of Success d Item count of HKU theses in open access (OA) d Item count of HKU research in OA d Applications for patents d Download counts of the above d Number of staff available for media contact d Number of collaborative researches d Number of contract researches d Number of consultancies, and income thereby generated d Number of invited public lectures, symposia, exhibitions, performances & honorary degree speeches d Number of University staff invited to be mentors d Number of positive media impact related to knowledge transfer coverage, including print, online and electronic media d Number of appointments of external members to HKU advisory boards
  • 23. 23 Online Reputation Management d Collective Knowledge System  HKU -- HKU authors  Machine loads -- Individual editing  Semantic Web – Social Web  Local authority – Google Indexing & page ranking d HKU author reputations polished, -- Reputation of HKU correspondingly shines brighter
  • 24. 24 Terima Kasih спасибо ‫لك‬ ‫شكرا‬ 謝謝您 감사합니다 cảm ơn bạn धन्यवाद Σε ευχαριστώ ‫תודה‬ 有り難うございます Thank You HKU Colleagues 港大同僚 da
  • 25. 25 dThis PPT & PDF are licensed under a Creative Commons license. This license permits non-commercial use of this work, so long as attribution is given. For more information about the license, visit dhttp://creativecommons.org/licenses/by- nc-sa/3.0/hk/ dArchived at,  http://hub.hku.hk/handle/123456789/56562

Notes de l'éditeur

  1. Cybervetting – to research potential employees by examining what they find on the internet (Wikipedia) Internet Footprint – impact an individual, business or corporation has on the WWW, and practvially the traceable residue that it leaves behind through this interaction Findability =- the term is generally taken to refer to how easy it is find a person using popular search engines such as Google
  2. Another example that comes to mind happened in during the 2008 Canadian Federal Election where the NDP Party had to drop candidates due to the potential dangers of their online reputations.  One candidate, Dana Larsen resigned because of concerns about him being shown taking drugs and driving while under the influence of drugs.  The NDP Party was forced to do damage control and leader Jack Layton was quoted saying “I don’t know a lot of details of what’s gone on there…”, making the NDP Party appear inept in its handling of candidates and possibly costing the party support in a close federal election.  This clearly demonstrates how the online reputation of a single individual can damage the reputation of a much larger organization.