Grant: The Impact of Cloud, Mobile, and Managing the Changing Platforms of Digital Collections


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The Impact of Cloud, Mobile, and Managing the Changing Platforms of Digital Collections 
presented by Carl Grant, Associate Dean, Knowledge Services & Chief Technology Officer, University of Oklahoma Libraries for the October 16, 2013 NISO Virtual Conference: Revolution or Evolution: The Organizational Impact of Electronic Content.

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  • Ray Kurzweil in the Singularity is Near says: “The exponential growth of computing is a marvelous quantitative example of the exponentially growing returns from an evolutionary process. We can express the exponential growth of computing in terms of its accelerating pace: it took ninety years to achieve the first MIPS per thousand dollars; now we add one MIPS per thousand dollars every five hours.40 “
  • Let me walk you through how this would work using this picture of a Knowledge Map from the NY Times.
  • Hathitrust, DuraSpace, LOCKSS, Florida Digital Archive, Alabama Preservation Network
  • The size of big data means it won’t be moved often. Applications that will use this data will be very dependent upon networks seeing attention to these points.
  • Grant: The Impact of Cloud, Mobile, and Managing the Changing Platforms of Digital Collections

    1. 1. Organization Infrastructure: The Impact of Cloud, Mobile, and Managing the Changing Platforms of Digital Collections.
    2. 2. Topics we’ll cover • Introduction (2 minutes) • Directions we’re headed (5 minutes) • How do we do that? (5 minutes) • Concerns (5 minutes) • Wrap-Up (2.5 minutes) • Q & A (10 minutes) Total (30 minutes)
    3. 3. “One of the biggest flaws in the common conception of the future is that the future is something that happens to us, not something we create.” MICHAEL ANISSIMOV
    4. 4. Directions we’re headed
    5. 5. PC Magazine, January 1, 2013 “Gartner’s Top 10 TechTrends for 2013” 1.Mobile Device Battles. 2.Mobile Applications and HTML5. 3.Personal Cloud. 4.Enterprise App Stores. 5.Internet of Things. 6.Hybrid IT and Cloud Computing. 7.Strategic Big Data. 8.Actionable Analytics. 9.In Memory Computing. 10.Integrated Ecosystems.
    6. 6. Cloud Computing
    7. 7. Source:
    8. 8. “A week’s worth of the New York Times contains more information than the average seventeenth-century citizen encountered in a lifetime.”… “In the year 2013, the human race is generating five exabytes of information every 10 minutes.”
    9. 9. “Ipv6 has enough room for 340 trillion, trillion, trillion unique addresses, roughly 50,000 trillion, trillion addresses per person.”
    10. 10. Growth in Tablet PC’s Source:
    11. 11. Source:
    12. 12. Source:
    13. 13. “Many young people will never own a traditional PC, the phone/tablet is all they’ll need and ever use.” John Bloom, Author of Content Nation Image Source:
    14. 14. “With over five billion individuals currently armed with mobile phones, we’re talking about unprecedented levels of access and insight in the psyches of over two-thirds of the wrold’s population. …. By 2020, nearly 3 billion more people will be added to the Internet’s community.” Page 148-149
    15. 15. Other considerations: Learning styles Support diverse learning styles "on average studies have shown roughly 29% have a visual preference, 34% auditory and 37% tactile” SMITH (IN TRUNER,T & FROST, T. 2005, 146)
    16. 16. IDC predicts that in the near future, nearly 70% of the digital universe will be created by individuals
    17. 17. Source:
    18. 18.
    19. 19. BrightPlanet has estimated the size of the Dark Web to be 500 times the size of the Surface web, which would make it approximately 550 billion web pages Creative Commons:
    20. 20. “Very few of today’s students press beyond the first level of the Web which contains only 7% of the data appropriate for academic work… the deeper Web contains information that is 1-2K times better in quality than the surface Web.” Creating the Academic Commons Loc 340.
    21. 21. “A library in New York or in Kansas is no long the library for patrons in those geographic areas, but to all of those potential patrons residing anywhere on the planet.” Creating the Academic Commons. Loc 234
    22. 22. As librarians, we have to get ready to massively SCALE everything we do.
    23. 23. How do we do that?
    24. 24. It won’t be with the systems of yesterday.
    25. 25. “We are interpreting a global world with a system built for local landscapes.”
    26. 26. “Today’s average low-end computer calculates at roughly 10 to the 11th, or a hundred billion calculations per second…. The average $1,000 laptop should be computing at the rate of the human brain in fewer than fifteen years. Fastforward another twenty-three years and that same machine will be computing at a rate equivalent to all the brains of the entire human race.”
    27. 27. “Twenty years ago, most welloff US citizens owned a camera, alarm-clock, encyclopedias, a world atlas.. And a bunch of other assets that easily add up to more than $10,000. All of which comes standard on today’s smart phone, or are available for purchase at the app store for less than a cup of coffee.” Page 239
    28. 28. Cloud Computing
    29. 29. Analytics
    30. 30. Knowledge Map Source: “Clickstream Data Yields HighResolution Maps of Science” Bollen J, Van de Sompel H, Hagberg A, Bettencourt L, et al. (2009) Clickstream Data Yields High-Resolution Maps of Science. PLoS ONE 4(3): e4803. doi:10.1371/journal.pone.0004803
    31. 31. Libraries will go from being reactive and generic service organizations to proactive and highly personalized service organizations.
    32. 32. Concerns
    33. 33. “A cloud may seem to be beyond the purview, both in staff training and technical expertise – of the average library. It must not be so, however, if libraries are to remain leaders in their own field of expertise and in academic research.” Creating the Academic Commons Loc 1908
    34. 34. Librarians and Access (Specifically Discovery)
    35. 35. For our services to have value they must offer differentiation.
    36. 36. Collaboration
    37. 37. Research data & BIG data Requires planning for: •Highly scalable data storage •Jim Neal (Columbia) points out that networking capacity must be built out to support: • Connectivity • Reliability • Capacity • Performance • Security
    38. 38. Research data & BIG data As Neal also points out, these will be: • • • • • • Accessed well beyond institution that created it Extracted Reused by other applications Collaborated around and upon Used to drive visualizations/simulations/gaming Used in conjunction with analytics to drive decision making
    39. 39. Research data & BIG data Issues include: • Usage rights • Intellectual property • Copyright • Ownership • Licensed vs. open • Rights management • Preservation
    40. 40. e-data in the Cloud • Licenses / Limitations • Pricing • First-sale-doctrine • Who “owns” the data? • What if library data is “enhanced”? Who owns it then? • Rules governing API’s and their usage? • Extracting library owned data. • Privacy • Preservation
    41. 41. When is the next “Carrington Event”? Or, hurricane(s)? The last one was in 1859
    42. 42. Wrap-Up
    43. 43. Topics we covered • Directions we’re headed • How do we do that? • Concerns
    44. 44. “Larry Page of Google asks: Are you working on something that can change the world? Yes or no? The answer for 99.99999% of people is “no”. I think we need to be training people on how to change the world.”
    45. 45. Q&A
    46. 46. Carl Grant Associate Dean for Knowledge Services Chief Technology Officer M: +1-540-449-2418 E: Twitter: Personal Blog: