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Boundless OpportunityThe Impact of Cloud-Based* Services for Libraries                                                    ...
Cloud Based* services Not just technical infrastructure   Distributed Services   Collections   Expertise
Network Opportunities Capacity to do more Leverage local expertise Amplify local excellence
Macrosolutions:towards convergence           “Common to these efforts will be           developing strong coalitions that ...
Collaboration Continuum  • Common Interest  • Common Values  • Convergencehttp://www.oclc.org/research/publications/librar...
High Risk / High Reward Requires high trust threshold / risk tolerance Dependence on others Less control
Research Library at Web-scale10,449,391 total volumes5,516,747 book titles272,663 serial titles3,657,286,850 pages468 tera...
Cloud Sourcing Library CollectionsManaging Print in the Mass Digitized Library EnvironmentConstance Malpas, 2011 1/3 of U...
Print Archiving: network scale ReCAP - http://recap.princeton.edu/ WEST - http://www.cdlib.org/services/west/about/ ASE...
New MetricsHow do we –                                                    http://www.flickr.com/photos/blackcountrymuseums...
Pause for a moment              http://www.flickr.com/photos/hckyso/3870006964/
Networked Collections: not just books Digitized Primary Resource Collections   Europeana - http://www.europeana.eu/porta...
Challenge of Data Collections BIG DATA vs. small data   Data sharing, small science and institutional repositories. Meli...
Challenge of Data CollectionsResearchers aligned with discipline, not institutionRestrictive campus IT policiesNot adequat...
Data Preservation Communities   Professional Organizations providing guidance       International Digital Curation Centr...
Why prioritize data curation services? Data are emerging as the research output of importance   Data papers, example Eco...
What are conversations on your            campus?                                                        How is the libra...
Collections = DATA Data sets are not just scientific and business tables or  spreadsheets Not just generated by satellit...
Digital Collections: Libraries’ Big Data
Computational Research Digital Humanities   Digging into Data Challenge      http://www.diggingintodata.org/   CLIR pu...
Case Study: Historic Newspapers               • Chronicling America                  • http://chroniclingamerica.loc.gov/ ...
Case Study: Historic Newspapers http://www.stanford.edu/group/ruralwest/cgi-bin/drupal/visualizations/us_newspapers
Data Research Service Needs To use collections as a whole, mining and organizing and  the information in novel and innova...
Data Collection Services The ingest and inventory of such collections, other than scale,  is basically understood. How m...
Library Service Implications Collections as “self-serve” If only provide access to data, do we limit it to native format...
The De-centered Library
De-centered Networked Library  http://www.slideshare.net/yiibu/beyond-themobilewebbyyiibu/128
United by Brand
DPLA: Library as Platform
Constellation Model:http://s.socialinnovation.ca/files/constellation%20and%20open%20source%20article%20september08_osbr.pdf
New Librarianship Honesty about the limits of re-tooling Re-think the librarian’s role in research Crucial leadership c...
Get out of the comfort zone Take the time to ask the hard questions Consider the possibility for radical change Are we ...
Being ready Research environments (including library systems) with  permeable borders Advocacy Value of “Open Data” Fac...
Connected-nessBollen J, Van de Sompel H, Hagberg A, Bettencourt L, Chute R, et al. 2009 Clickstream Data Yields High-Resol...
Action, Trust and Risk
Credits and Attribution Ideas and contributions     Patricia Cruse, UC3 – California Digital Library     Lorcan Dempsey...
Boundless Opportunity
Boundless Opportunity
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Boundless Opportunity

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2012 Ticer Summer School Presentation

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Boundless Opportunity

  1. 1. Boundless OpportunityThe Impact of Cloud-Based* Services for Libraries Rachel L. Frick Director, Digital Library Federation Council on Library and Information Resources Ticer Summer School August 21, 2012
  2. 2. Cloud Based* services Not just technical infrastructure  Distributed Services  Collections  Expertise
  3. 3. Network Opportunities Capacity to do more Leverage local expertise Amplify local excellence
  4. 4. Macrosolutions:towards convergence “Common to these efforts will be developing strong coalitions that bring together diverse institutions within a national framework; federating shared resources and interests, including collections, technology, and expertise; and creating a genuine, volitional dependency on other participating institutions for the provision of what was once a locally owned and managed asset. We are calling these collaborative projects macro solutions.” CLIR Annual Report, 2009-2010, p. 3
  5. 5. Collaboration Continuum • Common Interest • Common Values • Convergencehttp://www.oclc.org/research/publications/library/2010/2010-09.pdf
  6. 6. High Risk / High Reward Requires high trust threshold / risk tolerance Dependence on others Less control
  7. 7. Research Library at Web-scale10,449,391 total volumes5,516,747 book titles272,663 serial titles3,657,286,850 pages468 terabytes124 miles = 199.5 Kilometers8,490 tons (US) = 7702 metric tons3,140,629 volumes (~30% of total) in the public domain
  8. 8. Cloud Sourcing Library CollectionsManaging Print in the Mass Digitized Library EnvironmentConstance Malpas, 2011 1/3 of U.S. ARL content duplicated in HathiTrust  Shared Print Archiving / Collective Collections  Regional Print/ Digital Archives  Service Centers http://www.oclc.org/research/publications/library/2011/2011-01.pdf
  9. 9. Print Archiving: network scale ReCAP - http://recap.princeton.edu/ WEST - http://www.cdlib.org/services/west/about/ ASERL / University of Florida: US Gov Docs  http://www.aserl.org/programs/gov-doc/ Maine Shared Print - http://www.maineinfonet.net/mscs/ Organizational Node: Center for Research Libraries  Print Archive Community Forum http://www.crl.edu/archiving-preservation/print- archives/forum
  10. 10. New MetricsHow do we – http://www.flickr.com/photos/blackcountrymuseums/4887803840 Count Collections? Measure “quality”? Reward high ratios of services, collections per budget $ Rate Trustworthiness Identify good collaborators / team players?
  11. 11. Pause for a moment http://www.flickr.com/photos/hckyso/3870006964/
  12. 12. Networked Collections: not just books Digitized Primary Resource Collections  Europeana - http://www.europeana.eu/portal/  Biodiversity Heritage Library - http://www.biodiversitylibrary.org/ Scholarly Communications  OA publications / IR’s, disciplinary depositories Research Data  DataOne - http://www.dataone.org/  OpenAire- http://www.openaire.eu/
  13. 13. Challenge of Data Collections BIG DATA vs. small data  Data sharing, small science and institutional repositories. Melissa H. Cragin, Carole L. Palmer, Jacob R. Carlson, and Michael Witt. Philosophical Transactions of the Royal Society A 2010; 368(1926): 4023-4038. doi:10.1098/rsta.2010.0165 Preservation services  Brief online interview with Sayeed Choudhry, JHU. http://youtu.be/oWw7Ifn1Xx8 Data post production services:  Access, reuse, remix
  14. 14. Challenge of Data CollectionsResearchers aligned with discipline, not institutionRestrictive campus IT policiesNot adequate network storageFocused on publication, not curationData breach (privacy) top concernLibrary viewed as dispensary of goods, not a data service partner. http://www.clir.org/pubs/reports/pub154
  15. 15. Data Preservation Communities Professional Organizations providing guidance  International Digital Curation Centre - http://www.dcc.ac.uk/  Digital Preservation Coalition - http://www.dpconline.org/  National Digital Stewardship Alliance - http://www.digitalpreservation.gov/ndsa/index.html  Open Planets Foundation - http://www.openplanetsfoundation.org/ Centers that “bridge the gap”  Data to Insight Center – http://d2i.indiana.edu/  D2C2 – http://d2c2.lib.purdue.edu/  UC3 – California Digital Library - http://www.cdlib.org/services/uc3/ Networks that balance the load  Text Grid - http://www.textgrid.de/  DataOne - http://www.dataone.org/  Data Conservancy - http://dataconservancy.org/
  16. 16. Why prioritize data curation services? Data are emerging as the research output of importance  Data papers, example Ecological Society ofAmerica: http://esapubs.org/archive/archive_D.htm  Data citation http://www.datacite.org/  Databib http://databib.org/ Published journal articles will be less important  Metadata of the research data  Gravemarker of research activity and version of dataset
  17. 17. What are conversations on your campus?  How is the library positioning itself in your campus’ data ecology?  Active Participant?  Research Partner?  Passive – end of process?http://www.flickr.com/photos/marcwathieu/2979581445/  How is your library connected to larger data communities?
  18. 18. Collections = DATA Data sets are not just scientific and business tables or spreadsheets Not just generated by satellites and sensors Libraries (archives,museums): potential distributed data stores
  19. 19. Digital Collections: Libraries’ Big Data
  20. 20. Computational Research Digital Humanities  Digging into Data Challenge  http://www.diggingintodata.org/  CLIR publication: One Culture  http://www.clir.org/pubs/reports/pub151/pub151.pdf
  21. 21. Case Study: Historic Newspapers • Chronicling America • http://chroniclingamerica.loc.gov/ • 5 million page images from historic newspapers with OCR from organizations in 25 states • ~ 4 million hits per day • Traditional research: • SERACHING for stories • Data research: • MINING newspaper OCR for trends across time periods and geographic areas
  22. 22. Case Study: Historic Newspapers http://www.stanford.edu/group/ruralwest/cgi-bin/drupal/visualizations/us_newspapers
  23. 23. Data Research Service Needs To use collections as a whole, mining and organizing and the information in novel and innovative ways Algorithmic and visualization tools Working with both the artifact and its data representation
  24. 24. Data Collection Services The ingest and inventory of such collections, other than scale, is basically understood. How much ingest processing should be done with data collections, or collections that can be treated as data? Do we process collections to create a variety of derivatives that might be used in various forms of analysis before ingesting them? Do we have sufficient infrastructure to support full discovery? Do we load collections into analytical tools?
  25. 25. Library Service Implications Collections as “self-serve” If only provide access to data, do we limit it to native format or provide pre-processed or on-the-fly format transformation services for downloads? Can we handle the download traffic? Can our staff develop the expertise to provide guidance to researchers in using analytical tools? Do we leave researchers to fend for themselves?
  26. 26. The De-centered Library
  27. 27. De-centered Networked Library http://www.slideshare.net/yiibu/beyond-themobilewebbyyiibu/128
  28. 28. United by Brand
  29. 29. DPLA: Library as Platform
  30. 30. Constellation Model:http://s.socialinnovation.ca/files/constellation%20and%20open%20source%20article%20september08_osbr.pdf
  31. 31. New Librarianship Honesty about the limits of re-tooling Re-think the librarian’s role in research Crucial leadership challenge Priorities of traditional services  “Stop moving the books, okay?” Back to Basics  Collections that are unique  REAL Research support  Archiving, preservation, and access: distributed, but at scale
  32. 32. Get out of the comfort zone Take the time to ask the hard questions Consider the possibility for radical change Are we deciding for today?  Or making the hard choice for tomorrow? Are we network ready? http://www.flickr.com/photos/iamthebestartist/203179552/
  33. 33. Being ready Research environments (including library systems) with permeable borders Advocacy Value of “Open Data” Facilitating information flow Courage http://www.clir.org/pubs/reports/pub154/pub154.pdf
  34. 34. Connected-nessBollen J, Van de Sompel H, Hagberg A, Bettencourt L, Chute R, et al. 2009 Clickstream Data Yields High-Resolution Maps ofScience. PLoS ONE 4(3): e4803. doi:10.1371/journal.pone.0004803
  35. 35. Action, Trust and Risk
  36. 36. Credits and Attribution Ideas and contributions  Patricia Cruse, UC3 – California Digital Library  Lorcan Dempsey, OCLC  Josh Greenburg, Sloan Foundation  Leslie Johnston, Library of Congress  Patricia Cruse, UC3 – California Digital Library  Gunter Waible, Smithsonian Institution  Jon Voss, History Pin – We are what we do  Martin Kalfatovic – Smithsonian Institution Libraries / BHL  Charles Henry and my colleagues at CLIR

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