1. Knowledge can exist publicly but remain undiscovered if pieces of information are independently created but never connected or interpreted. 2. Information architecture thinking involves finding, structuring, and determining relationships between information to make sense of it and solve problems for people. 3. The document advocates using information architecture thinking and tools to uncover patterns in big data and address global challenges.

1. Undiscovered Public
Knowledge & IA

2. @JimKalbach
Principal UX Designer Citrix
LIS Degree Rutgers University

3. How we can use IA Thinking to
make the world a better place

4. How we can use IA Thinking to
make the world a better place

6. Physical
World
Subjective
Reality
Objective
Knowledge
YOU ARE HERE

7. Knowledge can be public, yet undiscovered,
if independently created fragments are
logically related, but never retrieved,
brought together, and interpreted.

8. Dietary
Fish Oil
Raynaud„s
disease

9. Literature-based discovery
“Imagine that the pieces of a puzzle
are independently designed and
created, and that, when retrieved
and assembled, they then reveal a
pattern – undesigned, unintended,
and never before seen.“
DON SWANSON
“Undiscovered
Public
Knowledge“

10. How we can use IA Thinking to
make the world a better place

11. How we can use IA Thinking to
make the world a better place

12. SWANSON
Retrieval
Assembly
Patterns
Interpretation
IA THINKING
=
=
=
=
Findability
Structure
Relationships
Sense Making
…to solve problems for people

13. Big Data
Volume – Large amounts
Variety – Different types
Velocity – Constantly changing

14. Big Data needs Big Judgment

16. Having the right tools to create and
interpret data displays is also vital. Half of
all employees find that information from
corporate sources is in an unusable format.
The best companies avoid this problem by
deploying improved information filtering
and better visualization.

17. Big Data needs Big Tools

18. 1. Representation

19. LinkedIn Maps

23. 2. Interaction

27. 3. „“Aboutness“

28. Categories!

30. Semantic Search

31. 4. Time

35. Hans Rosling

36. Big Data needs Big Tools
1. Representation
2. Interaction
3. “Aboutness“
4. Time

38. • “Data scientists make discoveries while
swimming in data.
• They are able to bring structure to large
quantities of formless data and make
analysis possible.
• They are creative in displaying
information visually and making the
patterns they find clear and compelling.”

39. The value of expertise is diminished in a
world dominated by two trends:
the accelerating pace of innovation and
the ubiquity of information.
July 2012

40. The goal must be to expand ourselves
beyond one field of focus and use our
improved access to information to
solve the … challenges we face as an
interconnected, global society. I
believe the time is now…to embolden
those disruptive individuals to help
innovate our way out of the significant
challenges our planet faces today.
NAVEEN JAIN

41. Physical
World
Subjective
Reality
Objective
Knowledge
YOU ARE HERE

42. IA THINKING
Findability
Structure
Relationships
Sense Making
IA INNOVATION
>
>
>
>
Hypothesis
Discovery
Meaning
Decision
…to solve problems for people
and to make the world a better place.

43. Thank You
Jim.Kalbach@Gmail.com
www.experiencinginformation.com