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Big Data and Intellectual Property
SCL - 15 October 2013
The story of
the wheat on
the chessboard

18,446,744,073,709,551,615
64
=2 -1
•

Earth mass
24
= 5.97219 x 10 kg

•

Wheat mass (1 grain = 1g)
16
= 1.8446 x 10 kg

•

Wheat mass
= 1/100,000,000 Earth

•

2013 grain production
= 2,140 Million Tonnes
12
(= 2.140 x 10 kg)

•

Wheat mass
= 10,000 x 2013 production
MATH
Mental Abuse To Humans
What does this mean?
•

Humans struggle with:

- intuitive

understanding
mathematics

- exponential growth
•

The amount of data
doubles every 18-24
months

•

90 % of all data in
the world was
created in the last 2
years

•

most data is
generated by users,
sensors or
machines

Big Data
http://www.kurzweilai.net
Patents (US only) Linear scale
Patents (US only) Log scale

doubling time:
1963-1990: 27 y
1990-2009: 19 y
Big Data
doubling time: 2 y
Big Data
doubling time: 2 y
Big Data = Prior Art
Prior Art
doubling time: 2 y
Yeah but no but...
•
•
•

1 patent > 1 byte
1963 > 1 byte
Intelligence &
analytics
This can’t be the solution

illustration from patent
on “circular
transportation facilitation
device” aka the wheel
(2001, Australia)
You
The landlord
The builder
The neighbour
The local council
Google Streetview
The Real Estate Research Bureau
....
Ownership of Data
Value of Big Data
•
•
•

Volume
Velocity
Variety

•
•
•

Access
Analysis & intelligence
Recombination
Can you own data?
•
•

It’s a non-rivalrous commodity

•

Data are almost always being
recombined & contextual

Most data are generated
automatically (sensors,
machines) - i.e. by “someone
else”
How to “own” data?

•

Copyright? Where’s the creativity in
data picked up by a sensor or a
machine?

•
•
•

Database right & compilations?

•

Other legal foundation?
(tort,criminal)

Trade secret? “value is in secrecy”
Patents? Analysis? “Frozen
algorithm”
IP on Big Data
•

IP is based on first making the abundant scarce, then charge for
access/use

•

Will this approach still work for IP/legal advice on Big Data?
Value of Big Data is in open use
and access, not ownership
•

Big data is like a
river: the value is
in the flow, not the
source
IP approach:
•

Advice on how to increase
use of data, rather than
restricting/limiting

•

Integrate open source, open
data, open standards as part
of any advice
Thank you

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Big Data and Intellectual Property

  • 1. Big Data and Intellectual Property SCL - 15 October 2013
  • 2. The story of the wheat on the chessboard 18,446,744,073,709,551,615 64 =2 -1
  • 3. • Earth mass 24 = 5.97219 x 10 kg • Wheat mass (1 grain = 1g) 16 = 1.8446 x 10 kg • Wheat mass = 1/100,000,000 Earth • 2013 grain production = 2,140 Million Tonnes 12 (= 2.140 x 10 kg) • Wheat mass = 10,000 x 2013 production
  • 5. What does this mean? • Humans struggle with: - intuitive understanding mathematics - exponential growth
  • 6. • The amount of data doubles every 18-24 months • 90 % of all data in the world was created in the last 2 years • most data is generated by users, sensors or machines Big Data
  • 8. Patents (US only) Linear scale
  • 9. Patents (US only) Log scale doubling time: 1963-1990: 27 y 1990-2009: 19 y
  • 12. Big Data = Prior Art
  • 14. Yeah but no but... • • • 1 patent > 1 byte 1963 > 1 byte Intelligence & analytics
  • 15. This can’t be the solution illustration from patent on “circular transportation facilitation device” aka the wheel (2001, Australia)
  • 16. You The landlord The builder The neighbour The local council Google Streetview The Real Estate Research Bureau ....
  • 18. Value of Big Data • • • Volume Velocity Variety • • • Access Analysis & intelligence Recombination
  • 19. Can you own data? • • It’s a non-rivalrous commodity • Data are almost always being recombined & contextual Most data are generated automatically (sensors, machines) - i.e. by “someone else”
  • 20. How to “own” data? • Copyright? Where’s the creativity in data picked up by a sensor or a machine? • • • Database right & compilations? • Other legal foundation? (tort,criminal) Trade secret? “value is in secrecy” Patents? Analysis? “Frozen algorithm”
  • 21. IP on Big Data • IP is based on first making the abundant scarce, then charge for access/use • Will this approach still work for IP/legal advice on Big Data?
  • 22. Value of Big Data is in open use and access, not ownership • Big data is like a river: the value is in the flow, not the source
  • 23. IP approach: • Advice on how to increase use of data, rather than restricting/limiting • Integrate open source, open data, open standards as part of any advice

Editor's Notes

  1. Mersenne prime number
  2. patent = 10,000 words (less than 1 Mb) patent = algorithm - value is in use & modifications, not static
  3. FT ran article stating that personal data are worth less than $1 per person. I came out at $0.26, and only because I cycle