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“Alt” is German for “old” It’s &me to stop talking about metrics in terms of “alterna&ve” metrics. Todd A. Carpenter Executive Director, NISO @TAC_NISO March 30, 2015

Carpenter: Lets remove alt from altmetrics - UKSG Plenary

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Page 1: Carpenter: Lets remove alt from altmetrics - UKSG Plenary

“Alt”  is  German  for  “old”  It’s  &me  to  stop  talking    about  metrics  in  terms  of  “alterna&ve”  metrics.  

Todd A. Carpenter  

Executive Director, NISO @TAC_NISO

March 30, 2015

Page 2: Carpenter: Lets remove alt from altmetrics - UKSG Plenary

!  Non-­‐profit  industry  trade  associa&on    accredited  by  the  American  Na&onal  Standards  Ins&tute  

!  Mission  of  developing  and  maintaining  technical  standards  related  to  informa&on,  documenta&on,  discovery  and  distribu&on  of  published  materials  and  media  

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About    

March  30,  2015   2  

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1980s Alternative  

John  Taylor,  Duran  Duran  

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1920s Alternative  

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2010s Not-so Alternative  

Cole  Plante  

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Since  Jason  Priem  coined  the  term  “altmetrics”  

•  There  have  been  some  1,170  ar&cles  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  analy&cs  

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When it becomes a standard, its not alterative any more…  

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But  what’s  the  value  in  coun&ng  Tweets  and  

Facebook  likes?  

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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  cita6ons?  Extensive  comparison  of  altmetric  indicators  with  cita6ons  from  a  mul6disciplinary  perspec6ve  by  Rodrigo  Costas,  Zohreh  Zahedi,  Paul  Wouters    Do  Altmetrics  Work?  TwiBer  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      

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More  importantly:  Scholarship  today    is  much  more  than  journals  

March  30,  2015   10  

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How  do  we  measure  the  impact  of  these  different  

forms  of  output?  

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Would  a  researcher  focus  on  only  one  data  source  or  methodological  approach?  

 

March  30,  2015   12  Duke  University  -­‐    Informa&on  Ini&a&ve  at  Duke  (IID)  

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There  aren’t    metrics  and  “altmetrics”;  there  are  only  metrics!  

 

March  30,  2015   13  

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We  have  been  using    non-­‐cita&on-­‐based  metrics  for  decades  

March  30,  2015   14  

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Traverse  Area  District  Library  (TADL)  

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What  has  changed  is  our  ability  to    

collect  and  analyze  data    in  new  ways  that  are  meaningful  to  others  

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What are we lacking?  

=  

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TRUST  

=  

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What are the elements of metrics that we need

to build trust?  

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Granularity  

Time Scale  

Identification  Definition  

Exchange

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I  omen  sound  like  a  broken  record  

•  Defining  what  is  to  be  counted  =  standards  •  How  to  describe  what  to  count  =  standards  •  Iden&fica&on  of  what  to  count  =  standards  •  Procedures  for  coun&ng  or  not  =  standards  •  Aggrega&ng  counts  from  network  =  standards  •  Exchange  of  what  was  counted  =  standards    March  30,  2015   22  

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 Phase  1  Mee6ngs  

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 �

 

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Mee&ng  Lightning  Talks  •  Expecta&ons  of  researchers  •  Exploring  disciplinary  differences  in  the  use  of  social  media  in  

scholarly  communica&on  •  Altmetrics  as  part  of  the  services  of  a  large  university  library  

system  •  Deriving  altmetrics  from  annota&on  ac&vity  •  Altmetrics  for  Ins&tu&onal  Repositories:  Are  the  metadata  

ready?  •  Snowball  Metrics:  Global  Standards  for  Ins&tu&onal  

Benchmarking  •  Interna&onal  Standard  Name  Iden&fier  •  Altmetric.com,  Plum  Analy&cs,  Mendeley  reader  survey  •  Twiper  Inconsistency  March  30,  2015   26  

“Lightning"  by  snowpeak  is  licensed  under  CC  BY  2.0  

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30  One-­‐on-­‐One  Interviews  

March  30,  2015   30  

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Lots  and  lots  of  ideas  

March  30,  2015   31  

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Alterna6ve  Assessment  Ini6a6ve    

 

Phase  2  Presenta6ons  of  Phase  1  report  (June  2014)  

Priori6za6on  Effort  (June  -­‐  Aug,  2014)  Project  approval  (Nov  -­‐  Dec  2014)  

Working  group  forma6on  (Jan  -­‐  March  2015)  Consensus  Development  (March  2015  -­‐  Feb  2016)  

Trial  Use  Period  (Feb  15  -­‐  May  16)  

Publica6on  of  final  recommenda6ons  (Aug  16)  

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White  Paper  Released  

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200  +  Ideas    25  Poten6al  Work  Themes  

Defini6ons  Applica6on  to  types  of  research  outputs  Discovery  implica6ons  Research  evalua6on  Data  quality  and  gaming  Grouping,  aggrega6ng,  and  granularity  Context    Adop6on  

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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  

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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  

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Top-­‐ranked  ideas    (very  important  &  important  >70%)    

•  Develop  specific  defini&ons  for  alterna&ve  assessment  metrics.  (87.9%)      

•  Promote  and  facilitate  use  of  persistent  iden&fiers  in  scholarly  communica&ons.  (82.8%)  

•  Develop  strategies  to  improve  data  quality  through  normaliza&on  of  source  data  across  providers.  (80.8%)  

•  Iden&fy  research  output  types  that  are  applicable  to  the  use  of  metrics.  (79.8%)  

•  Define  appropriate  metrics  and  calcula&on  methodologies  for  specific  output  types,  such  as  somware,  datasets,  or  performances.  (78.1%)  

•  Explore  crea&on  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%)  

March  30,  2015   37  

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Launching  three  working  groups  

March  30,  2015   38  

A)  Development  of  defini&ons  and  descrip&ons  of  use  

B)  Defini&ons  for  appropriate  metrics  and  calcula&on  methodologies  for  non-­‐tradi&onal  output  types.  Also  work  toward  promo&on  and  facilita&on  of  use  of  persistent  iden&fiers  

C)  Development  of  strategies  to  improve  data  quality  through  source  data  providers  

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Steering Committee

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

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Alterna6ve  Assessments  of  our  Assessment  Ini6a6ve    

     

White  paper  downloaded  7,400  6mes    21  substan&ve  comments  received  

120  in-­‐person  and  virtual  par&cipants  at  the  mee&ngs    These  3  mee&ngs  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  550  direct  tweets  using  the  #NISOALMI  hashtag  Survey  ranking  of  output  by  118  people    

Six  ar&cles  in  tradi&onal  news  publica&ons    15  blog  posts  about  the  ini&a&ve  

 

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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

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Questions?

Todd Carpenter

Executive Director [email protected]

@TAC_NISO

National Information Standards Organization (NISO) 3600 Clipper Mill Road, Suite 302 Baltimore, MD 21211 USA +1 (301) 654-2512 www.niso.org

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