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“Alt”	
  is	
  German	
  for	
  “old”:	
  
It’s	
  &me	
  to	
  stop	
  talking	
  	
  
about	
  metrics	
  in	
  terms	
  of	
  
“alterna&ve”	
  metrics.	
  
Todd Carpenter	
  
Executive Director, NISO
February 23, 2015
!  Non-­‐profit	
  industry	
  trade	
  associa&on	
  	
  
accredited	
  by	
  ANSI	
  
!  Mission	
  of	
  developing	
  and	
  maintaining	
  technical	
  
standards	
  related	
  to	
  informa&on,	
  documenta&on,	
  
discovery	
  and	
  distribu&on	
  of	
  published	
  materials	
  
and	
  media	
  
!  Volunteer	
  driven	
  organiza&on:	
  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	
  	
  
February	
  23,	
  2015	
   2	
  
1980s Alternative	
  
John	
  Taylor,	
  
Duran	
  Duran	
  
1920s Alternative	
  
2010s Not-so Alternative	
  
Cole	
  Plante	
  
When it becomes a standard,
its not alterative any more…	
  
Since	
  Jason	
  Priem	
  coined	
  the	
  term	
  
•  There	
  have	
  been	
  some	
  6,200	
  scholarly	
  ar&cles	
  
(per	
  Google	
  Scholar)	
  
•  There	
  have	
  been	
  8	
  altmetrics	
  conferences	
  
•  Even	
  I	
  have	
  presented	
  on	
  altmetrics	
  12	
  &mes!	
  	
  
(Just	
  kidding)	
  
February	
  23,	
  2015	
   7	
  
More	
  than	
  just	
  popularity	
  
Research	
  is	
  poin&ng	
  to	
  the	
  fact	
  that	
  there	
  is	
  a	
  
modest	
  posi&ve	
  correla&on	
  between	
  	
  
early-­‐signal	
  metrics	
  (altmetrics)	
  and	
  	
  
later-­‐signal	
  metrics	
  (cita&ons)	
  
Do	
  altmetrics	
  correlate	
  with	
  cita7ons?	
  Extensive	
  comparison	
  of	
  altmetric	
  indicators	
  with	
  
cita7ons	
  from	
  a	
  mul7disciplinary	
  perspec7ve	
  by	
  Rodrigo	
  Costas,	
  Zohreh	
  Zahedi,	
  Paul	
  Wouters	
  
	
  
Do	
  Altmetrics	
  Work?	
  TwiCer	
  and	
  Ten	
  Other	
  Social	
  Web	
  Services	
  by	
  Mike	
  Thelwall	
  ,	
  Stefanie	
  
Haustein,	
  	
  Vincent	
  Larivière,	
  &	
  Cassidy	
  R.	
  Sugimoto	
  	
  
	
  
(2006)	
  Earlier	
  web	
  usage	
  sta&s&cs	
  as	
  predictors	
  of	
  later	
  cita&on	
  impact	
  by	
  Brody	
  T,	
  Harnad	
  S	
  &	
  
Carr	
  L	
  	
  
	
  
February	
  23,	
  2015	
   8	
  
Would	
  a	
  researcher	
  focus	
  on	
  only	
  one	
  data	
  
source	
  or	
  methodological	
  approach?	
  
	
  
February	
  23,	
  2015	
   9	
  Duke	
  University	
  -­‐	
  	
  Informa&on	
  Ini&a&ve	
  at	
  Duke	
  (IID)	
  
There	
  aren’t	
  	
  
metrics	
  and	
  “altmetrics;	
  
there	
  are	
  only	
  metrics!	
  
	
  
February	
  23,	
  2015	
   10	
  
We	
  have	
  been	
  using	
  	
  
non-­‐cita&on-­‐based	
  
metrics	
  for	
  decades	
  
February	
  23,	
  2015	
   11	
  
February	
  23,	
  2015	
   12	
  
February	
  23,	
  2015	
   13	
  
Traverse	
  Area	
  District	
  Library	
  (TADL)	
  
What	
  has	
  changed	
  is	
  our	
  
ability	
  to	
  collect	
  and	
  
analyze	
  data	
  	
  
in	
  ways	
  that	
  are	
  
meaningful	
  to	
  others	
  
February	
  23,	
  2015	
   14	
  
TRUST	
  
=	
  
What are the
infrastructure elements
of metrics we need
standards for?	
  
Granularity	
  
Time Scale	
  
Identification	
  Definition	
  
Exchange
Granularity	
  
Time Scale	
  
Identification	
  Definition	
  
Exchange
However,	
  there	
  are	
  different	
  metrics	
  
for	
  different	
  things.	
  
	
  
There	
  are	
  even	
  different	
  metrics	
  	
  
for	
  the	
  same	
  thing	
  
February	
  23,	
  2015	
   19	
  
How fast are we going?	
  
Pound-foot/seconds or 
kilogram-meter/seconds 	
  
No researcher wants this 
to be the end of their career?	
  
Are we measuring scholarship
using “inches” or “meters”	
  
Image:	
  Flickr	
  user	
  karindalziel	
  
	
  
I	
  olen	
  sound	
  like	
  a	
  broken	
  record	
  
•  Defining	
  what	
  is	
  to	
  be	
  counted	
  =	
  standards	
  
•  How	
  to	
  describe	
  what	
  to	
  count	
  =	
  standards	
  
•  Idenficaon	
  of	
  what	
  to	
  count	
  =	
  standards	
  
•  Procedures	
  for	
  counng	
  or	
  not	
  =	
  standards	
  
•  Aggregang	
  counts	
  from	
  network	
  =	
  standards	
  
•  Exchange	
  of	
  what	
  was	
  counted	
  =	
  standards	
  
	
  
February	
  23,	
  2015	
   24	
  
Alterna7ve	
  Assessment	
  
Ini7a7ve	
  	
  
	
  
Phase	
  1	
  Mee7ngs	
  
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
	
  
Meeng	
  Lightning	
  Talks	
  
•  Expectaons	
  of	
  researchers	
  
•  Exploring	
  disciplinary	
  differences	
  in	
  the	
  use	
  of	
  social	
  media	
  in	
  
scholarly	
  communicaon	
  
•  Altmetrics	
  as	
  part	
  of	
  the	
  services	
  of	
  a	
  large	
  university	
  library	
  
system	
  
•  Deriving	
  altmetrics	
  from	
  annotaon	
  acvity	
  
•  Altmetrics	
  for	
  Instuonal	
  Repositories:	
  Are	
  the	
  metadata	
  
ready?	
  
•  Snowball	
  Metrics:	
  Global	
  Standards	
  for	
  Instuonal	
  
Benchmarking	
  
•  Internaonal	
  Standard	
  Name	
  Idenfier	
  
•  Altmetric.com,	
  Plum	
  Analycs,	
  Mendeley	
  reader	
  survey	
  
•  Twiper	
  Inconsistency	
  
February	
  23,	
  2015	
   28	
  
“Lightning	
  by	
  snowpeak	
  is	
  licensed	
  under	
  CC	
  BY	
  2.0	
  
February	
  23,	
  2015	
   29	
  
February	
  23,	
  2015	
   30	
  
February	
  23,	
  2015	
   31	
  
30	
  One-­‐on-­‐One	
  Interviews	
  
February	
  23,	
  2015	
   32	
  
White	
  Paper	
  Released	
  
February	
  23,	
  2015	
   33	
  
Poten7al	
  work	
  themes	
  
Defini7ons	
  
Applica7on	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implica7ons	
  
Research	
  evalua7on	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggrega7ng,	
  and	
  granularity	
  
Context	
  	
  
Adop7on	
  
February	
  23,	
  2015	
   34	
  
Potenal	
  work	
  themes	
  
Defini7ons	
  
Applicaon	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implicaons	
  
Research	
  evaluaon	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggregang,	
  and	
  granularity	
  
Context	
  	
  
Adopon	
  
February	
  23,	
  2015	
   35	
  
Potenal	
  work	
  themes	
  
Definions	
  
Applica7on	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implicaons	
  
Research	
  evaluaon	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggregang,	
  and	
  granularity	
  
Context	
  	
  
Adopon	
  
February	
  23,	
  2015	
   36	
  
Potenal	
  work	
  themes	
  
Definions	
  
Applicaon	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implica7ons	
  
Research	
  evaluaon	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggregang,	
  and	
  granularity	
  
Context	
  	
  
Adopon	
  
February	
  23,	
  2015	
   37	
  
Potenal	
  work	
  themes	
  
Definions	
  
Applicaon	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implicaons	
  
Research	
  evalua7on	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggregang,	
  and	
  granularity	
  
Context	
  	
  
Adopon	
  
February	
  23,	
  2015	
   38	
  
Potenal	
  work	
  themes	
  
Definions	
  
Applicaon	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implicaons	
  
Research	
  evaluaon	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggregang,	
  and	
  granularity	
  
Context	
  	
  
Adopon	
  
February	
  23,	
  2015	
   39	
  
Potenal	
  work	
  themes	
  
Definions	
  
Applicaon	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implicaons	
  
Research	
  evaluaon	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggrega7ng,	
  and	
  granularity	
  
Context	
  	
  
Adopon	
  
February	
  23,	
  2015	
   40	
  
Potenal	
  work	
  themes	
  
Definions	
  
Applicaon	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implicaons	
  
Research	
  evaluaon	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggregang,	
  and	
  granularity	
  
Context	
  	
  
Adopon	
  
February	
  23,	
  2015	
   41	
  
Potenal	
  work	
  themes	
  
Definions	
  
Applicaon	
  to	
  types	
  of	
  research	
  outputs	
  
Discovery	
  implicaons	
  
Research	
  evaluaon	
  
Data	
  quality	
  and	
  gaming	
  
Grouping,	
  aggregang,	
  and	
  granularity	
  
Context	
  	
  
Adop7on	
  	
  Promo7on	
  
February	
  23,	
  2015	
   42	
  
Alterna7ve	
  Assessment	
  
Ini7a7ve	
  	
  
	
  
Phase	
  2	
  
Presenta7ons	
  of	
  Phase	
  1	
  report	
  (June	
  2014)	
  
Priori7za7on	
  Effort	
  (June	
  -­‐	
  Aug,	
  2014)	
  
Project	
  approval	
  (Sept	
  2014)	
  
Working	
  group	
  forma7on	
  (Oct	
  2014)	
  
Consensus	
  Development	
  (Nov	
  2014	
  -­‐	
  Dec	
  2015)	
  
Trial	
  Use	
  Period	
  (Dec	
  15	
  -­‐	
  Mar	
  16)	
  
Publica7on	
  of	
  final	
  recommenda7ons	
  (Jun	
  16) 	
  
February	
  23,	
  2015	
   44	
  
0%	
  
10%	
  
20%	
  
30%	
  
40%	
  
50%	
  
60%	
  
70%	
  
80%	
  
90%	
  
100%	
  
Unimportant	
  
Of	
  liple	
  importance	
  
Moderately	
  important	
  
Important	
  
Very	
  important	
  
Community	
  Feedback	
  on	
  Project	
  Idea	
  Themes	
  
n=118	
  
February	
  23,	
  2015	
   45	
  
0%	
  
10%	
  
20%	
  
30%	
  
40%	
  
50%	
  
60%	
  
70%	
  
80%	
  
90%	
  
100%	
  
Unimportant	
  
Of	
  liple	
  importance	
  
Moderately	
  important	
  
Important	
  
Very	
  important	
  
n=118	
  
Community	
  Feedback	
  on	
  Project	
  Idea	
  Themes	
  
Top-­‐ranked	
  ideas	
  	
  
(very	
  important	
  	
  important	
  70%)	
  	
  
•  87.9%	
  -­‐	
  1.	
  Develop	
  specific	
  definions	
  for	
  alternave	
  assessment	
  
metrics.	
  	
  
•  82.8%	
  -­‐	
  10.	
  Promote	
  and	
  facilitate	
  use	
  of	
  persistent	
  idenfiers	
  in	
  
scholarly	
  communicaons.	
  	
  
•  80.8%	
  -­‐	
  12.	
  Develop	
  strategies	
  to	
  improve	
  data	
  quality	
  through	
  
normalizaon	
  of	
  source	
  data	
  across	
  providers.	
  	
  
•  79.8%	
  -­‐	
  4.	
  Idenfy	
  research	
  output	
  types	
  that	
  are	
  applicable	
  to	
  the	
  
use	
  of	
  metrics.	
  
•  78.1%	
  -­‐	
  6.	
  Define	
  appropriate	
  metrics	
  and	
  calculaon	
  
methodologies	
  for	
  specific	
  output	
  types,	
  such	
  as	
  solware,	
  datasets,	
  
or	
  performances.	
  	
  
•  72.5%	
  -­‐	
  13.	
  Explore	
  creaon	
  of	
  standardized	
  APIs	
  or	
  download	
  or	
  
exchange	
  formats	
  to	
  facilitate	
  data	
  gathering.	
  	
  
•  70.7%	
  -­‐	
  11.	
  Research	
  issues	
  surrounding	
  the	
  reproducibility	
  of	
  
metrics	
  across	
  providers.	
  	
  
February	
  23,	
  2015	
   46	
  
Alterna7ve	
  Assessments	
  of	
  our	
  
Assessment	
  Ini7a7ve	
  	
  
	
  
	
  
	
  
White	
  paper	
  downloaded	
  6400	
  7mes	
  	
  
21	
  substanve	
  comments	
  received	
  
120	
  in-­‐person	
  and	
  virtual	
  parcipants	
  at	
  the	
  meengs	
  	
  
These	
  3	
  meengs	
  apracted	
  400	
  RSVPs	
  for	
  live	
  stream	
  	
  	
  
Goal:	
  generate	
  about	
  40	
  ideas,	
  in	
  total,	
  generated	
  more	
  than	
  250	
  
Project	
  materials	
  downloaded	
  more	
  than	
  22,000	
  mes	
  
More	
  than	
  500	
  direct	
  tweets	
  using	
  the	
  #NISOALMI	
  hashtag	
  
Survey	
  ranking	
  of	
  output	
  by	
  118	
  people	
  	
  
Six	
  arcles	
  in	
  tradional	
  news	
  publicaons	
  	
  
15	
  blog	
  posts	
  about	
  the	
  iniave	
  
	
  
For more
Project Site:
www.niso.org/topics/tl/altmetrics_initiative/
White Paper:
http://www.niso.org/apps/group_public/download.php/
13295/niso_altmetrics_white_paper_draft_v4.pdf
February	
  23,	
  2015	
   48	
  
Questions?
Todd Carpenter
Executive Director
tcarpenter@niso.org
National Information Standards Organization (NISO)
3600 Clipper Mill Road, Suite 302
Baltimore, MD 21211 USA
+1 (301) 654-2512
www.niso.org
February	
  23,	
  2015	
   49	
  

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Carpenter - Lets remove "alt" from altmetrics - ER&L Presentation

  • 1. “Alt”  is  German  for  “old”:   It’s  &me  to  stop  talking     about  metrics  in  terms  of   “alterna&ve”  metrics.   Todd Carpenter   Executive Director, NISO February 23, 2015
  • 2. !  Non-­‐profit  industry  trade  associa&on     accredited  by  ANSI   !  Mission  of  developing  and  maintaining  technical   standards  related  to  informa&on,  documenta&on,   discovery  and  distribu&on  of  published  materials   and  media   !  Volunteer  driven  organiza&on:  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     February  23,  2015   2  
  • 3. 1980s Alternative   John  Taylor,   Duran  Duran  
  • 5. 2010s Not-so Alternative   Cole  Plante  
  • 6. When it becomes a standard, its not alterative any more…  
  • 7. Since  Jason  Priem  coined  the  term   •  There  have  been  some  6,200  scholarly  ar&cles   (per  Google  Scholar)   •  There  have  been  8  altmetrics  conferences   •  Even  I  have  presented  on  altmetrics  12  &mes!     (Just  kidding)   February  23,  2015   7  
  • 8. More  than  just  popularity   Research  is  poin&ng  to  the  fact  that  there  is  a   modest  posi&ve  correla&on  between     early-­‐signal  metrics  (altmetrics)  and     later-­‐signal  metrics  (cita&ons)   Do  altmetrics  correlate  with  cita7ons?  Extensive  comparison  of  altmetric  indicators  with   cita7ons  from  a  mul7disciplinary  perspec7ve  by  Rodrigo  Costas,  Zohreh  Zahedi,  Paul  Wouters     Do  Altmetrics  Work?  TwiCer  and  Ten  Other  Social  Web  Services  by  Mike  Thelwall  ,  Stefanie   Haustein,    Vincent  Larivière,  &  Cassidy  R.  Sugimoto       (2006)  Earlier  web  usage  sta&s&cs  as  predictors  of  later  cita&on  impact  by  Brody  T,  Harnad  S  &   Carr  L       February  23,  2015   8  
  • 9. Would  a  researcher  focus  on  only  one  data   source  or  methodological  approach?     February  23,  2015   9  Duke  University  -­‐    Informa&on  Ini&a&ve  at  Duke  (IID)  
  • 10. There  aren’t     metrics  and  “altmetrics;   there  are  only  metrics!     February  23,  2015   10  
  • 11. We  have  been  using     non-­‐cita&on-­‐based   metrics  for  decades   February  23,  2015   11  
  • 13. February  23,  2015   13   Traverse  Area  District  Library  (TADL)  
  • 14. What  has  changed  is  our   ability  to  collect  and   analyze  data     in  ways  that  are   meaningful  to  others   February  23,  2015   14  
  • 16. What are the infrastructure elements of metrics we need standards for?  
  • 17. Granularity   Time Scale   Identification  Definition   Exchange
  • 18. Granularity   Time Scale   Identification  Definition   Exchange
  • 19. However,  there  are  different  metrics   for  different  things.     There  are  even  different  metrics     for  the  same  thing   February  23,  2015   19  
  • 20. How fast are we going?  
  • 22. No researcher wants this to be the end of their career?  
  • 23. Are we measuring scholarship using “inches” or “meters”   Image:  Flickr  user  karindalziel    
  • 24. I  olen  sound  like  a  broken  record   •  Defining  what  is  to  be  counted  =  standards   •  How  to  describe  what  to  count  =  standards   •  Idenficaon  of  what  to  count  =  standards   •  Procedures  for  counng  or  not  =  standards   •  Aggregang  counts  from  network  =  standards   •  Exchange  of  what  was  counted  =  standards     February  23,  2015   24  
  • 25.
  • 26.
  • 27. Alterna7ve  Assessment   Ini7a7ve       Phase  1  Mee7ngs   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  
  • 28. Meeng  Lightning  Talks   •  Expectaons  of  researchers   •  Exploring  disciplinary  differences  in  the  use  of  social  media  in   scholarly  communicaon   •  Altmetrics  as  part  of  the  services  of  a  large  university  library   system   •  Deriving  altmetrics  from  annotaon  acvity   •  Altmetrics  for  Instuonal  Repositories:  Are  the  metadata   ready?   •  Snowball  Metrics:  Global  Standards  for  Instuonal   Benchmarking   •  Internaonal  Standard  Name  Idenfier   •  Altmetric.com,  Plum  Analycs,  Mendeley  reader  survey   •  Twiper  Inconsistency   February  23,  2015   28   “Lightning  by  snowpeak  is  licensed  under  CC  BY  2.0  
  • 32. 30  One-­‐on-­‐One  Interviews   February  23,  2015   32  
  • 33. White  Paper  Released   February  23,  2015   33  
  • 34. Poten7al  work  themes   Defini7ons   Applica7on  to  types  of  research  outputs   Discovery  implica7ons   Research  evalua7on   Data  quality  and  gaming   Grouping,  aggrega7ng,  and  granularity   Context     Adop7on   February  23,  2015   34  
  • 35. Potenal  work  themes   Defini7ons   Applicaon  to  types  of  research  outputs   Discovery  implicaons   Research  evaluaon   Data  quality  and  gaming   Grouping,  aggregang,  and  granularity   Context     Adopon   February  23,  2015   35  
  • 36. Potenal  work  themes   Definions   Applica7on  to  types  of  research  outputs   Discovery  implicaons   Research  evaluaon   Data  quality  and  gaming   Grouping,  aggregang,  and  granularity   Context     Adopon   February  23,  2015   36  
  • 37. Potenal  work  themes   Definions   Applicaon  to  types  of  research  outputs   Discovery  implica7ons   Research  evaluaon   Data  quality  and  gaming   Grouping,  aggregang,  and  granularity   Context     Adopon   February  23,  2015   37  
  • 38. Potenal  work  themes   Definions   Applicaon  to  types  of  research  outputs   Discovery  implicaons   Research  evalua7on   Data  quality  and  gaming   Grouping,  aggregang,  and  granularity   Context     Adopon   February  23,  2015   38  
  • 39. Potenal  work  themes   Definions   Applicaon  to  types  of  research  outputs   Discovery  implicaons   Research  evaluaon   Data  quality  and  gaming   Grouping,  aggregang,  and  granularity   Context     Adopon   February  23,  2015   39  
  • 40. Potenal  work  themes   Definions   Applicaon  to  types  of  research  outputs   Discovery  implicaons   Research  evaluaon   Data  quality  and  gaming   Grouping,  aggrega7ng,  and  granularity   Context     Adopon   February  23,  2015   40  
  • 41. Potenal  work  themes   Definions   Applicaon  to  types  of  research  outputs   Discovery  implicaons   Research  evaluaon   Data  quality  and  gaming   Grouping,  aggregang,  and  granularity   Context     Adopon   February  23,  2015   41  
  • 42. Potenal  work  themes   Definions   Applicaon  to  types  of  research  outputs   Discovery  implicaons   Research  evaluaon   Data  quality  and  gaming   Grouping,  aggregang,  and  granularity   Context     Adop7on    Promo7on   February  23,  2015   42  
  • 43. Alterna7ve  Assessment   Ini7a7ve       Phase  2   Presenta7ons  of  Phase  1  report  (June  2014)   Priori7za7on  Effort  (June  -­‐  Aug,  2014)   Project  approval  (Sept  2014)   Working  group  forma7on  (Oct  2014)   Consensus  Development  (Nov  2014  -­‐  Dec  2015)   Trial  Use  Period  (Dec  15  -­‐  Mar  16)   Publica7on  of  final  recommenda7ons  (Jun  16)  
  • 44. February  23,  2015   44   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Unimportant   Of  liple  importance   Moderately  important   Important   Very  important   Community  Feedback  on  Project  Idea  Themes   n=118  
  • 45. February  23,  2015   45   0%   10%   20%   30%   40%   50%   60%   70%   80%   90%   100%   Unimportant   Of  liple  importance   Moderately  important   Important   Very  important   n=118   Community  Feedback  on  Project  Idea  Themes  
  • 46. Top-­‐ranked  ideas     (very  important    important  70%)     •  87.9%  -­‐  1.  Develop  specific  definions  for  alternave  assessment   metrics.     •  82.8%  -­‐  10.  Promote  and  facilitate  use  of  persistent  idenfiers  in   scholarly  communicaons.     •  80.8%  -­‐  12.  Develop  strategies  to  improve  data  quality  through   normalizaon  of  source  data  across  providers.     •  79.8%  -­‐  4.  Idenfy  research  output  types  that  are  applicable  to  the   use  of  metrics.   •  78.1%  -­‐  6.  Define  appropriate  metrics  and  calculaon   methodologies  for  specific  output  types,  such  as  solware,  datasets,   or  performances.     •  72.5%  -­‐  13.  Explore  creaon  of  standardized  APIs  or  download  or   exchange  formats  to  facilitate  data  gathering.     •  70.7%  -­‐  11.  Research  issues  surrounding  the  reproducibility  of   metrics  across  providers.     February  23,  2015   46  
  • 47. Alterna7ve  Assessments  of  our   Assessment  Ini7a7ve           White  paper  downloaded  6400  7mes     21  substanve  comments  received   120  in-­‐person  and  virtual  parcipants  at  the  meengs     These  3  meengs  apracted  400  RSVPs  for  live  stream       Goal:  generate  about  40  ideas,  in  total,  generated  more  than  250   Project  materials  downloaded  more  than  22,000  mes   More  than  500  direct  tweets  using  the  #NISOALMI  hashtag   Survey  ranking  of  output  by  118  people     Six  arcles  in  tradional  news  publicaons     15  blog  posts  about  the  iniave    
  • 48. For more Project Site: www.niso.org/topics/tl/altmetrics_initiative/ White Paper: http://www.niso.org/apps/group_public/download.php/ 13295/niso_altmetrics_white_paper_draft_v4.pdf February  23,  2015   48  
  • 49. Questions? Todd Carpenter Executive Director tcarpenter@niso.org National Information Standards Organization (NISO) 3600 Clipper Mill Road, Suite 302 Baltimore, MD 21211 USA +1 (301) 654-2512 www.niso.org February  23,  2015   49