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Information Literacy ESS
Fall 2015
Ellen Fest & Hugo Besemer
Finding Information
 House keeping
 Information needs
 Orientation
 In depth
 Data
Illustration © Loet van Moll 2009
Finding Information
 House keeping
 Information needs
 Orientation
 In depth
 Data
Illustration © Loet van Moll 2009
Assignment & -no- test
● Assignment
● Submit as a group
● Find information on your subject
● Instructions in BB >> assignment
● No_familyname1_familyname2_familyname3.docx
● Upload in report format via Turnitin in Blackboard at
the latest Saturday 6 December 00 00
● 5.5 is compulsory to get a grade
● Test
● No separate test for Information literacy
But there will be a question
about IL in the general test
Finding Information
 House keeping
 Information needs
 Orientation
 In depth
 Data
Illustration © Loet van Moll 2009
Information needs
 Orientation
● Scientific
● Societal
 In depth
● Comprehensive or not
● For example if you are working at a model
● Find existing models
● Model parametrization
● Model validation
● Context (who else is working on this)
Syntax and
operator: Module 2
Choice where to search: module 2
Material and how to get 1: module 1
Finding Information
 House keeping
 Information needs
 Orientation
 In depth
 Data
Illustration © Loet van Moll 2009
The issue
 Central question: What happens to the temperature of
the atmosphere after the yellowstone volcano explodes?
 Hypothesis: The temperature drops, leading to a new ice
age.
As we said, we do an in-depth search
to help
• Find existing models
• Model parametrization
• Model validation
• Context (who else is working on
this?)
Quick and dirty to get ideas
Quick and dirty to get the
snowball running
• Not much about
Yellowstone
• We are
interested in
“supervolcanoes”
• A (relatively)
recent explosion
is “Toba”
• We found a
number of
models !
We got more than
we deserve…..
Toba is a good example
(so we change volcano)
Comprehensive search ……
Context: Source
Context: author
Context: Affiliation
Context: More about the most proficient
author
Volcanoes
Toba
Yellowstone Atmosphere
Temperature
Other?
Aerosols
Ash?
takes some thinking Questions o.a.
Set A:
• Other volcanoes?
• Only supervolcanoes
or will any volcano do?
Set B
• Other atmospheric
factors (radiation?)
Set C
• Do we need it, or is A
AND B good enough
Managing your information
 Information about citing and plagiarism
● http://www.wageningenur.nl/en/Expertise-
Services/Facilities/Library/Expertise/Write-cite/citing.htm
 Managing references: Endnote and Mendeley
● http://www.wageningenur.nl/en/Expertise-
Services/Facilities/Library/Expertise/Write-cite/citing/EndNote-and-
Mendeley.htm
Working what you have found:
Module 3
Finding Information
 House keeping
 Information needs
 Orientation
 In depth
 Data
Illustration © Loet van Moll 2009
Findig data: the bad news first
There is no “Google” or “Scopus” for data
Parametrization for “Yellowstone”
looking for the right repository
But do we
believe data?
Not
necessarily,
if we look at
this example
=>
Example: Data on Europe’s population
(according to Eurostat)
Example: Data on Europe’s population (according to
Eurostat) 2: What happened?
To be complete: Asia’s population
according to Eurostat
So: data is meaningless without proper
documentation at different levels (project, file,
parameters)
Questions?

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Ess november 2015

  • 1. Information Literacy ESS Fall 2015 Ellen Fest & Hugo Besemer
  • 2. Finding Information  House keeping  Information needs  Orientation  In depth  Data Illustration © Loet van Moll 2009
  • 3. Finding Information  House keeping  Information needs  Orientation  In depth  Data Illustration © Loet van Moll 2009
  • 4. Assignment & -no- test ● Assignment ● Submit as a group ● Find information on your subject ● Instructions in BB >> assignment ● No_familyname1_familyname2_familyname3.docx ● Upload in report format via Turnitin in Blackboard at the latest Saturday 6 December 00 00 ● 5.5 is compulsory to get a grade ● Test ● No separate test for Information literacy But there will be a question about IL in the general test
  • 5. Finding Information  House keeping  Information needs  Orientation  In depth  Data Illustration © Loet van Moll 2009
  • 6. Information needs  Orientation ● Scientific ● Societal  In depth ● Comprehensive or not ● For example if you are working at a model ● Find existing models ● Model parametrization ● Model validation ● Context (who else is working on this)
  • 8. Choice where to search: module 2
  • 9.
  • 10. Material and how to get 1: module 1
  • 11.
  • 12. Finding Information  House keeping  Information needs  Orientation  In depth  Data Illustration © Loet van Moll 2009
  • 13. The issue  Central question: What happens to the temperature of the atmosphere after the yellowstone volcano explodes?  Hypothesis: The temperature drops, leading to a new ice age. As we said, we do an in-depth search to help • Find existing models • Model parametrization • Model validation • Context (who else is working on this?)
  • 14. Quick and dirty to get ideas
  • 15. Quick and dirty to get the snowball running • Not much about Yellowstone • We are interested in “supervolcanoes” • A (relatively) recent explosion is “Toba” • We found a number of models ! We got more than we deserve…..
  • 16. Toba is a good example (so we change volcano)
  • 21. Context: More about the most proficient author
  • 22. Volcanoes Toba Yellowstone Atmosphere Temperature Other? Aerosols Ash? takes some thinking Questions o.a. Set A: • Other volcanoes? • Only supervolcanoes or will any volcano do? Set B • Other atmospheric factors (radiation?) Set C • Do we need it, or is A AND B good enough
  • 23. Managing your information  Information about citing and plagiarism ● http://www.wageningenur.nl/en/Expertise- Services/Facilities/Library/Expertise/Write-cite/citing.htm  Managing references: Endnote and Mendeley ● http://www.wageningenur.nl/en/Expertise- Services/Facilities/Library/Expertise/Write-cite/citing/EndNote-and- Mendeley.htm Working what you have found: Module 3
  • 24. Finding Information  House keeping  Information needs  Orientation  In depth  Data Illustration © Loet van Moll 2009
  • 25. Findig data: the bad news first There is no “Google” or “Scopus” for data
  • 27. But do we believe data? Not necessarily, if we look at this example =>
  • 28. Example: Data on Europe’s population (according to Eurostat)
  • 29. Example: Data on Europe’s population (according to Eurostat) 2: What happened?
  • 30. To be complete: Asia’s population according to Eurostat So: data is meaningless without proper documentation at different levels (project, file, parameters)