Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
A Library Love Triangle? : An analysis of the relationship between
data, information and knowledge in Library and Informat...
What I shall be covering today
■Why?
■Findings: Definitions, Models, Points of
Agreement and Disagreement
■The Relationshi...
Introduction
The Induction Session First thoughts about
Information Theory
First essay on
Information Theory
Issues
■Knowledge merely an end product of
using information?
■Are ideas too reliant on other
disciplines?
■Surely LIS mus...
The Three Definitions of Data
■Ancient: From the Latin word datum – “the given”
■Modern: anything fed into a computer (Mac...
The Multitude Definitions of Information
iSquares showing
Information
represented as
books (Hartel 2014)
■communication
■p...
The Multitude Definitions of Information
“Information mean news or facts about something.”
Cookie Monster (Losee 1997 and ...
The Different Definitions of Knowledge
■Personal or Held across society?
■Physical or Just In Our Heads?
■A human construc...
Relationships between Data, Information and Knowledge:
Linear Views
Above: A Representation of
Shannon’s Ideas (Shannon an...
Relationships between Data, Information and Knowledge:
More Complex Views
Above: Brookes’ Information-
Knowledge Relations...
Relationships between Data, Information and Knowledge:
More Complex Views
Thellefsen, Sørensen and Thellefsen (2014)
Other Discussion Points
■D-I-K is a process, but how does it work?
■The Importance (or Otherwise) of Truth
■Where should k...
Data-Information-Knowledge within IL
■Information Retrieval Skills
■Teaching
■Shannon-Weaver : Understanding as Noise
Data-Information-Knowledge within LIS Fields
“Information Literacy is defined as the ability to know when
there is a need ...
Data-Information-Knowledge within LIS Fields
Information Literacy
■Information Retrieval Skills
■Teaching
■Shannon-Weaver ...
My Own Model
Pullman’s Dust
“Dust is only a name for what happens when matter
understands itself. Matter loves matter.
It ...
My Own Model
My Own Model
“Knowledge and information are separate but interacting
entities; we transform one into the other constantly…...
Conclusions
“As was concluded in a previous essay on Information Theory
(Atkinson 2014), this will be a never-ending debat...
References
For references, see full dissertation at:
https://docs.google.com/document/d/17SsEWGCyTSxda3pfN
BO_T6_TcvkTPRd1...
Questions
City, University of London
Northampton Square
London
EC1V 0HB
United Kingdom
T: +44 (0)20 7040 5060
E: department@city.ac....
Upcoming SlideShare
Loading in …5
×

A Library Love Triangle? An analysis of the relationship between data, information and knowledge ine Library and Information Studies - James Atkinson

327 views

Published on

Presented at LISDIS 2016, Saturday 5 November 2016 at UCL

Published in: Education
  • Be the first to comment

  • Be the first to like this

A Library Love Triangle? An analysis of the relationship between data, information and knowledge ine Library and Information Studies - James Atkinson

  1. 1. A Library Love Triangle? : An analysis of the relationship between data, information and knowledge in Library and Information Studies (or, Pullman’s Dust : A new model for data, information and knowledge). James Atkinson City, University of London (MSc Library Science and Information Assistant) @jamesatkinson81 / james.Atkinson.1@city.ac.uk
  2. 2. What I shall be covering today ■Why? ■Findings: Definitions, Models, Points of Agreement and Disagreement ■The Relationship within Information Literacy ■My Own Model ■Conclusions
  3. 3. Introduction The Induction Session First thoughts about Information Theory First essay on Information Theory
  4. 4. Issues ■Knowledge merely an end product of using information? ■Are ideas too reliant on other disciplines? ■Surely LIS must have an answer!
  5. 5. The Three Definitions of Data ■Ancient: From the Latin word datum – “the given” ■Modern: anything fed into a computer (Machlup 1983) ■Future: Datasets – will Shera’s quote (prophecy) become yet truer?
  6. 6. The Multitude Definitions of Information iSquares showing Information represented as books (Hartel 2014) ■communication ■physical ■non-physical ■sign ■signal ■human phenomenon ■common to all creatures ■discipline-free
  7. 7. The Multitude Definitions of Information “Information mean news or facts about something.” Cookie Monster (Losee 1997 and MarshalGrover 2008)
  8. 8. The Different Definitions of Knowledge ■Personal or Held across society? ■Physical or Just In Our Heads? ■A human construction? ■Importance of Context ■Importance of Understanding “What is knowledge? The question sounds simple, but the answer is difficult.” Qvortrup (2006)
  9. 9. Relationships between Data, Information and Knowledge: Linear Views Above: A Representation of Shannon’s Ideas (Shannon and Weaver 1949/1969) [see also: H = -Σ p(i) log p(i)] Bertie Brookes’ Fundamental Equation of Information Science: K[S] + ∆ I = K[S+ ∆S] Left: The DIKW hierarchy shown as a pyramid (Rowley 2007)
  10. 10. Relationships between Data, Information and Knowledge: More Complex Views Above: Brookes’ Information- Knowledge Relationship from Todd (1999) Left: Information passing between a sender and receiver (Farradane 1980)
  11. 11. Relationships between Data, Information and Knowledge: More Complex Views Thellefsen, Sørensen and Thellefsen (2014)
  12. 12. Other Discussion Points ■D-I-K is a process, but how does it work? ■The Importance (or Otherwise) of Truth ■Where should knowledge be? ■Computers vs Humans ■Work from other disciplines, or is everyone only in it for themselves?
  13. 13. Data-Information-Knowledge within IL ■Information Retrieval Skills ■Teaching ■Shannon-Weaver : Understanding as Noise
  14. 14. Data-Information-Knowledge within LIS Fields “Information Literacy is defined as the ability to know when there is a need for information, to be able to identify, locate, evaluate, and effectively use that information for the issue or problem at hand.” - American Library Association (1989 from Bawden and Robionson 2012)
  15. 15. Data-Information-Knowledge within LIS Fields Information Literacy ■Information Retrieval Skills ■Teaching ■Shannon-Weaver : Understanding as Noise
  16. 16. My Own Model Pullman’s Dust “Dust is only a name for what happens when matter understands itself. Matter loves matter. It seeks to know more about itself, and Dust is formed.” Balthamos in The Amber Spyglass (Pullman 2000/2011)
  17. 17. My Own Model
  18. 18. My Own Model “Knowledge and information are separate but interacting entities; we transform one into the other constantly… the transformation of information into knowledge and knowledge into information, forms the basis for all human learning and communication.” Elizabeth Orna (from Bawden 2001)
  19. 19. Conclusions “As was concluded in a previous essay on Information Theory (Atkinson 2014), this will be a never-ending debate. “An exploration of information runs into immediate difficulties,” said Buckland (1991) and the same is true of its relationship with data and knowledge. However, we can try, and we must, to get closer to the truth.” Atkinson (2016)
  20. 20. References For references, see full dissertation at: https://docs.google.com/document/d/17SsEWGCyTSxda3pfN BO_T6_TcvkTPRd1f6lEvyeYyqg/edit?usp=sharing
  21. 21. Questions
  22. 22. City, University of London Northampton Square London EC1V 0HB United Kingdom T: +44 (0)20 7040 5060 E: department@city.ac.uk www.city.ac.uk/department

×