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.
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. “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
6. 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.
12. “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.”
13. “Ipv6 has enough room for 340
trillion, trillion, trillion unique
addresses, roughly 50,000
trillion, trillion addresses per
person.”
14. Growth in Tablet PC’s
Source: http://hothardware.com/News/Intel-Announces-New-Z670-For-Tablets/
17. “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: www.apple.com
18. “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
19. 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)
20. IDC predicts that in the near future,
nearly 70% of the digital universe will
be created by individuals
23. 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:
24. “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.
25. “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
26. As librarians, we have to get ready to
massively SCALE
everything we do.
31. “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.”
32. “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
36. 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 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0004803
37. Libraries will go from being reactive and generic service
organizations to proactive and highly personalized service
organizations.
39. “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
45. 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
46. 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
47. Research data & BIG data
Issues include:
• Usage rights
• Intellectual property
• Copyright
• Ownership
• Licensed vs. open
• Rights management
• Preservation
48. 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
49. When is the next
“Carrington Event”?
Or, hurricane(s)?
The last one was in 1859
52. “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.”
54. Carl Grant
Associate Dean for Knowledge Services
Chief Technology Officer
M: +1-540-449-2418
E: carl.grant@ou.edu
Twitter: http://www.twitter.com/carl_grant
Personal Blog: http://thoughts.care-affiliates.com
Notas do Editor
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.