New Metaphors: Data Papers and Data Citations

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New Metaphors: Data Papers and Data Cita4ons 27 February 2012 UC Cura4on Center California Digital Library

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Transcript of New Metaphors: Data Papers and Data Citations

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New  Metaphors:  Data  Papers  and  Data  Cita4ons  

27   F e b r u a r y   2 0 1 2  

U C   C u r a 4 o n   C e n t e r  

C a l i f o r n i a   D i g i t a l   L i b r a r y  

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Metaphors  we  live  by  

“...  metaphor  is  pervasive  in  everyday  life,  not  just  in  language  but  in  thought  and  ac4on.      Our  ordinary  conceptual  system,  in  terms  of  which  we  both  think  and  act,  is  fundamentally  metaphorical  in  nature.”  

From  Lakoff  and  Johnson,  Metaphors  We  Live  By,  1980  

(thanks  to  Parsons  &  Fox,  Is  Data  Publica8on  the  Right  Metaphor?,  2011)  

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Digital  =  Metaphorical  

Everything  is  a  story  on  top  of  sequences  of  bits  •  Fonts,  files,  folders,  formaXng,  phone  calls  

•  Programs,  protocols,  data,  tweets,  even  bits  

Old  metaphors  can  impede  technical  change  

Disrup4ve  technical  change  is  inevitable  

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Roadmap  for  today’s  talk  

• Who  we  are  

• What’s  changed  • Forced  incrementalism  • Data  cita4on  • Tradi4onal  ar4cles  • Data  papers  • Closing  metaphor  

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California  Digital  Library  (CDL)  

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California  Digital  Library  –  born  1997  

CDL  supports  the  research  lifecycle    

•  Collec4ons  

•  Digital  Special  Collec4ons  

•  Discovery  &  Delivery  •  Publishing  Group  

•  UC  Cura4on  Center  (UC3)  

University  of  California  stakeholders  

•  10  campuses  

•  226K  students,  134K  faculty  &  staff  

•  100’s  of  museums,  art  galleries,  observatories,  marine  centers,  botanical  gardens  

•  5  medical  centers  

•  5  law  schools  

•  3  Dept.  of  Energy  na4onal  labs  

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Our  environment  circa  2002-­‐2008  

Focus  on  preserva4on  

For  memory  organiza4ons  

Infrastructure:  sta4c  

Services:  hosted  

Content:  museum  &  library  

Sustainability:  ?  

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Our  environment  since  2008  

   cura8on  (lifecycle)       and  now  data  producers      +  cloud,  vm,  bitbucket    

     +  partnered,  self-­‐serve       data,  web  crawls      cost  recovery,  pay  once  

Focus  on  preserva4on  

For  memory  organiza4ons  

Infrastructure:  sta4c  

Services:  hosted  

Content:  museum  &  library  

Sustainability:  ?  

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Journal  expenditures  are  outpacing  library  budgets  

The  Library  Reality  

•  Journal  expenditures  rising  

•  Increase  in  research  publica4on  

•  Increase  in  researchers  

•  Declining  budgets  

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The  Library  Reality  •  Journal  

expenditures  rising  

•  Increase  in  research  publica4on  

•  Increase  in  researchers  

•  Declining  budgets  

(Mabe,  2003)  The  growth  of  acEve,  peer  reviewed  learned  journals  since  1665  

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The  Library  Reality  •  Journal  

expenditures  rising  

•  Increase  in  research  publica4on  

•  Increase  in  researchers  

•  Declining  budgets  

                         (Mabe  2004,  based  on  data  from  ISI  and  NSF)  

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The  Library  Reality  •  Journal  

expenditures  rising  

•  Increase  in  research  publica4on  

•  Increase  in  researchers  

•  Declining  budgets  

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Trends  create  a  structural  problem;  calls  on  libraries  to  do  more  with  less  

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Trends  create  a  structural  problem;  climb  the  mountain  step  by  step  ...  

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Or  look  for  a  radical  solu4on?  

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Prac8cal  incrementalism  for  the  complex  problem  of  data  cura8on  

•  Baby  steps  –  data  paper/cita4on  metaphors  •  Chipping  away  –  making  the  problem  smaller  •  DataONE  global  data  network  [NSF]  •  Merrio  data  repository  •  EZID  for  crea4ng  DOIs,  ARKs,  and  URNs  •  Data  management  plans  (DMPTool)  

•  Web  archiving  service  (WAS)  [Library  of  Congress]  •  Open-­‐source  Excel  add-­‐in  [MS  Research  &  GBMF]  

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Prac8cal  incrementalism  for  the  complex  problem  of  data  cura8on  

•  Baby  steps  –  data  paper/cita4on  metaphors  •  Chipping  away  –  making  the  problem  smaller  •  DataONE  global  data  network  [NSF]  •  Merrio  data  repository  •  EZID  for  crea4ng  DOIs,  ARKs,  and  URNs  •  Data  management  plans  (DMPTool)  

•  Web  archiving  service  (WAS)  [Library  of  Congress]  •  Open-­‐source  Excel  add-­‐in  [MS  Research  &  GBMF]  

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The  scien4fic  record  is  at  risk  

Data  dissemina4on  is  rare,  risky,  expensive,  labor-­‐intensive,  domain-­‐specific,  and  receives  liole  credit  as  research  output  

Global  Change   Galac4c  Change  

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What  data  cita4on  offers  

•  Credit  •  Discovery  •  Impact  tracking  – Helping  data  authors  verify  use  of  their  data  and  – Helping  iden4fy  how  others  have  used  the  data  

•  With  archiving:  re-­‐use  and  reproducibility  

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Tradi4onal  ar4cles  vs  data  papers  

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Need  to  save  data  +  processing  

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Parallel  pyramids  

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The  collec4ve  data  product  

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Need  to  save  data  +  processing  

Algorithms  +  Data  Structures  =  Programs    

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Vision  for  a  “data  paper”    

•  Wrap  the  unfamiliar  in  a  familiar  façade  

•  A  “data  paper”  is  minimally  a  cover  sheet  and  a  set  of  links  to  archived  ar4facts    

•  Cover  sheet  contains  familiar  elements:  4tle,  date,  authors,  abstract,  and  persistent  iden4fier  (DOI,  ARK,  etc.)  

•  Just  enough  to  permit  basic  exposure  and  discovery  

– Building  a  basic  data  cita4on    –  Indexing  by  services  such  as  Web  of  Science,  Google  Scholar  

–  Ins4lling    confidence  in  the  iden4fier’s    stability    

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Data  Papers  at  the  CDL  UC  CuraEon  Center  

•  Merrio  Cura4on  repository  

•  EZID:  Persistent  id  management  and  resolu4on  (ARKs,  DOIs,  et  al.)  

Publishing  Services  Program  

•  Online  journals,  with  peer  review  

•  Scholarly  communica4on:  grey  literature  to  post-­‐prints  

•  Search  and  display  tools  (XTF)  

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Provide  incremental  benefit  for  incremental  effort  

...  plus  nano-­‐publicaEons  and  executable  papers.  

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Data  paper:  envisioned  outcomes  

•  Familiar  look  and  feel  eases  adop4on  and  indexing  

•  Aoribu4on  mo4vates  deposit  •  Stable  storage  and  ids  leads  to  cita4on  and  impact  •  Data  products  enter  the  record  instead  of  being  lost  •  Data  journals  spring  up  around  disciplines  

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Metaphors  we  close  with  

“Our  ordinary  conceptual  system,  in  terms  of  which  we  both  think  and  act,  is  fundamentally  metaphorical  in  nature.”  

OTOH,  “the  more  things  change  the  more  they  remain  the  same”  

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Ques4ons?  

[email protected]  

California  Digital  Library  hop://www.cdlib.org/  

“Data  Paper”  Paper:    hop://escholarship.org/uc/item/9jw4964t