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Altmetrics aren’t
so alternative anymore:
Moving new metrics
into the mainstream
Todd A. Carpenter
Executive Director, NISO
@TAC_NISO
May 28, 2015
 Non-profit industry trade association
accredited by the American National Standards Institute
 Mission of developing and maintaining technical
standards related to information, documentation,
discovery and distribution of published materials and
media
 Volunteer driven organization: 400+ contributors spread
out across the world
 Responsible (directly and indirectly) for standards like
ISSN, DOI, Dublin Core metadata, DAISY digital talking
books, OpenURL, MARC records, and ISBN
About
May 28, 2015 2
1980s Alternative
John Taylor,
Duran Duran
2010s Not-so Alternative
Since Jason Priem coined the term
“altmetrics”
• There have been some 1,170 articles and
posts (per Google Scholar) on the topic of
altmetrics
• There have been eight altmetrics conferences
• There are now at least four companies
focused on providing altmetrics-style analytics
May 28, 2015 5
When it becomes a
standard, its not alterative
any more…
But what’s the value in
counting Tweets and
Facebook likes?
May 28, 2015 7
More than just popularity
Research is pointing to the fact that there is a
modest positive correlation between
early-signal metrics (altmetrics) and
later-signal metrics (citations)
Do altmetrics correlate with citations? Extensive comparison of altmetric indicators with
citations from a multidisciplinary perspective by Rodrigo Costas, Zohreh Zahedi, Paul Wouters
Do Altmetrics Work? Twitter and Ten Other Social Web Services by Mike Thelwall , Stefanie
Haustein, Vincent Larivière, & Cassidy R. Sugimoto
(2006) Earlier web usage statistics as predictors of later citation impact by Brody T, Harnad S &
Carr L
May 28, 2015 8
More importantly: Scholarship today
is much more than journals
May 28, 2015 9
How do we measure the
impact of these different
forms of output?
May 28, 2015 10
Would a researcher focus on only one data
source or methodological approach?
May 28, 2015 11Duke University - Information Initiative at Duke (IID)
There aren’t
metrics and “altmetrics”;
there are only metrics!
May 28, 2015 12
We have been using
non-citation-based
metrics for decades
May 28, 2015 13
May 28, 2015 14
May 28, 2015 15
Traverse Area District Library (TADL)
What has changed is our
ability to
collect and analyze data
in new ways that are
meaningful to others
May 28, 2015 16
What are we lacking?
=
TRUST
=
What are the elements
of metrics that we
need to build trust?
Granularity
Time Scale
Identificatio
n
Definitio
n
Exchange
I often sound like a broken record
• Defining what is to be counted = standards
• How to describe what to count = standards
• Identification of what to count = standards
• Procedures for counting or not = standards
• Aggregating counts from network = standards
• Exchange of what was counted = standards
May 28, 2015 21
Phase 1 Meetings
October 9, 2013 - San Francisco, CA
December 11, 2013 - Washington, DC
January 23-24 - Philadelphia, PA
Round of 1-on-1 interviews – March/Apr
Phase 1 report published in June 2014
Meeting Lightning Talks
• Expectations of researchers
• Exploring disciplinary differences in the use of social media in
scholarly communication
• Altmetrics as part of the services of a large university library
system
• Deriving altmetrics from annotation activity
• Altmetrics for Institutional Repositories: Are the metadata
ready?
• Snowball Metrics: Global Standards for Institutional
Benchmarking
• International Standard Name Identifier
• Altmetric.com, Plum Analytics, Mendeley reader survey
• Twitter Inconsistency
May 28, 2015 25
“Lightning" by snowpeak is licensed under CC BY 2.0
May 28, 2015 26
May 28, 2015 27
May 28, 2015 28
30 One-on-One Interviews
May 28, 2015 29
Lots and lots of ideas
Phase 2
Presentations of Phase 1 report (June 2014)
Prioritization Effort (June - Nov, 2014)
Project approval (Nov - Dec 2014)
Working group formation (Jan - March 2015)
Consensus Development (March 2015 - Feb 2016)
Trial Use Period (Feb 15 - May 16)
Publication of final recommendations (Aug 16)
White Paper Released
May 28, 2015 32
200 + Ideas
25 Potential Work Themes
Definitions
Application to types of research outputs
Discovery implications
Research evaluation
Data quality and gaming
Grouping, aggregating, and granularity
Context
Adoption
May 28, 2015 33
May 28, 2015 34
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Unimportant
Of little importance
Moderately important
Important
Very important
Community Feedback on Project Idea Themes
n=118
May 28, 2015 35
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Unimportant
Of little importance
Moderately important
Important
Very important
n=118
Community Feedback on Project Idea Themes
Standards Creation Cycle
Idea
Working
Group
Formed
and
Works!
Draft for
Public
Comment
Publication
Standing
Committee &
Maintenance
NISO
Approval:
Topic Committee
& Voting Member
Definitions and Principles
Balance: no single interest category constitutes a majority of
the membership / voting pool / working group: producer, user,
general interest
37
Recommended PracticeStandard
Consensus: respond to all comments and make efforts to resolve
negative votes, even if proposal is approved
Open process: allowing members and the community to
have confidence in NISO standards.
KBAR
T
Working Groups
• A development of definitions and descriptions of
use
• Bdefinitions for appropriate metrics and
calculation methodologies for specific output
types and promotion and facilitation of use of
persistent identifiers
• C development of strategies to improve data
quality through source data providers.
Steering Committee
Calendar
• April 2015 – Group(s) start working
• October 2015 – Draft document(s)
• Fall 2015 – Comment period(s)
• November 2015 – NISO Report to Sloan
Foundation
• Spring 2016 – Completion of final draft(s)
http://www.niso.org/topics/tl/altmetrics_initiative/
Thank you!
Questions?
@TAC_NISO
@abugseye

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NASIG 2015-NISO Altmetrics-Carpenter & Lagace

  • 1. Altmetrics aren’t so alternative anymore: Moving new metrics into the mainstream Todd A. Carpenter Executive Director, NISO @TAC_NISO May 28, 2015
  • 2.  Non-profit industry trade association accredited by the American National Standards Institute  Mission of developing and maintaining technical standards related to information, documentation, discovery and distribution of published materials and media  Volunteer driven organization: 400+ contributors spread out across the world  Responsible (directly and indirectly) for standards like ISSN, DOI, Dublin Core metadata, DAISY digital talking books, OpenURL, MARC records, and ISBN About May 28, 2015 2
  • 5. Since Jason Priem coined the term “altmetrics” • There have been some 1,170 articles and posts (per Google Scholar) on the topic of altmetrics • There have been eight altmetrics conferences • There are now at least four companies focused on providing altmetrics-style analytics May 28, 2015 5
  • 6. When it becomes a standard, its not alterative any more…
  • 7. But what’s the value in counting Tweets and Facebook likes? May 28, 2015 7
  • 8. More than just popularity Research is pointing to the fact that there is a modest positive correlation between early-signal metrics (altmetrics) and later-signal metrics (citations) Do altmetrics correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective by Rodrigo Costas, Zohreh Zahedi, Paul Wouters Do Altmetrics Work? Twitter and Ten Other Social Web Services by Mike Thelwall , Stefanie Haustein, Vincent Larivière, & Cassidy R. Sugimoto (2006) Earlier web usage statistics as predictors of later citation impact by Brody T, Harnad S & Carr L May 28, 2015 8
  • 9. More importantly: Scholarship today is much more than journals May 28, 2015 9
  • 10. How do we measure the impact of these different forms of output? May 28, 2015 10
  • 11. Would a researcher focus on only one data source or methodological approach? May 28, 2015 11Duke University - Information Initiative at Duke (IID)
  • 12. There aren’t metrics and “altmetrics”; there are only metrics! May 28, 2015 12
  • 13. We have been using non-citation-based metrics for decades May 28, 2015 13
  • 15. May 28, 2015 15 Traverse Area District Library (TADL)
  • 16. What has changed is our ability to collect and analyze data in new ways that are meaningful to others May 28, 2015 16
  • 17. What are we lacking? =
  • 19. What are the elements of metrics that we need to build trust?
  • 21. I often sound like a broken record • Defining what is to be counted = standards • How to describe what to count = standards • Identification of what to count = standards • Procedures for counting or not = standards • Aggregating counts from network = standards • Exchange of what was counted = standards May 28, 2015 21
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  • 24. Phase 1 Meetings October 9, 2013 - San Francisco, CA December 11, 2013 - Washington, DC January 23-24 - Philadelphia, PA Round of 1-on-1 interviews – March/Apr Phase 1 report published in June 2014
  • 25. Meeting Lightning Talks • Expectations of researchers • Exploring disciplinary differences in the use of social media in scholarly communication • Altmetrics as part of the services of a large university library system • Deriving altmetrics from annotation activity • Altmetrics for Institutional Repositories: Are the metadata ready? • Snowball Metrics: Global Standards for Institutional Benchmarking • International Standard Name Identifier • Altmetric.com, Plum Analytics, Mendeley reader survey • Twitter Inconsistency May 28, 2015 25 “Lightning" by snowpeak is licensed under CC BY 2.0
  • 30. Lots and lots of ideas
  • 31. Phase 2 Presentations of Phase 1 report (June 2014) Prioritization Effort (June - Nov, 2014) Project approval (Nov - Dec 2014) Working group formation (Jan - March 2015) Consensus Development (March 2015 - Feb 2016) Trial Use Period (Feb 15 - May 16) Publication of final recommendations (Aug 16)
  • 33. 200 + Ideas 25 Potential Work Themes Definitions Application to types of research outputs Discovery implications Research evaluation Data quality and gaming Grouping, aggregating, and granularity Context Adoption May 28, 2015 33
  • 34. May 28, 2015 34 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Unimportant Of little importance Moderately important Important Very important Community Feedback on Project Idea Themes n=118
  • 35. May 28, 2015 35 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Unimportant Of little importance Moderately important Important Very important n=118 Community Feedback on Project Idea Themes
  • 36. Standards Creation Cycle Idea Working Group Formed and Works! Draft for Public Comment Publication Standing Committee & Maintenance NISO Approval: Topic Committee & Voting Member
  • 37. Definitions and Principles Balance: no single interest category constitutes a majority of the membership / voting pool / working group: producer, user, general interest 37 Recommended PracticeStandard Consensus: respond to all comments and make efforts to resolve negative votes, even if proposal is approved Open process: allowing members and the community to have confidence in NISO standards. KBAR T
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  • 40. Working Groups • A development of definitions and descriptions of use • Bdefinitions for appropriate metrics and calculation methodologies for specific output types and promotion and facilitation of use of persistent identifiers • C development of strategies to improve data quality through source data providers.
  • 42. Calendar • April 2015 – Group(s) start working • October 2015 – Draft document(s) • Fall 2015 – Comment period(s) • November 2015 – NISO Report to Sloan Foundation • Spring 2016 – Completion of final draft(s)

Notes de l'éditeur

  1. Develop specific definitions for alternative assessment metrics. (87.9%) Promote and facilitate use of persistent identifiers in scholarly communications. (82.8%) Develop strategies to improve data quality through normalization of source data across providers. (80.8%) Identify research output types that are applicable to the use of metrics. (79.8%) Define appropriate metrics and calculation methodologies for specific output types, such as software, datasets, or performances. (78.1%) Explore creation of standardized APIs or download or exchange formats to facilitate data gathering. (72.5%) Research issues surrounding the reproducibility of metrics across providers. (70.7%)
  2. Develop specific definitions for alternative assessment metrics. (87.9%) Promote and facilitate use of persistent identifiers in scholarly communications. (82.8%) Develop strategies to improve data quality through normalization of source data across providers. (80.8%) Identify research output types that are applicable to the use of metrics. (79.8%) Define appropriate metrics and calculation methodologies for specific output types, such as software, datasets, or performances. (78.1%) Explore creation of standardized APIs or download or exchange formats to facilitate data gathering. (72.5%) Research issues surrounding the reproducibility of metrics across providers. (70.7%)