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Information Literacy ESS Fall 2015 Ellen Fest & Hugo Besemer

Ess november 2015

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Page 1: Ess november 2015

Information Literacy ESS

Fall 2015

Ellen Fest & Hugo Besemer

Page 2: Ess november 2015

Finding Information

House keeping

Information needs

Orientation

In depth

Data

Illustration © Loet van Moll 2009

Page 3: Ess november 2015

Finding Information

House keeping

Information needs

Orientation

In depth

Data

Illustration © Loet van Moll 2009

Page 4: Ess november 2015

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

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Finding Information

House keeping

Information needs

Orientation

In depth

Data

Illustration © Loet van Moll 2009

Page 6: Ess november 2015

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)

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Syntax and operator: Module 2

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Choice where to search: module 2

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Material and how to get 1: module 1

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Finding Information

House keeping

Information needs

Orientation

In depth

Data

Illustration © Loet van Moll 2009

Page 13: Ess november 2015

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?)

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Quick and dirty to get ideas

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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…..

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Toba is a good example

(so we change volcano)

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Comprehensive search ……

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Context: Source

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Context: author

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Context: Affiliation

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Context: More about the most proficient

author

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VolcanoesToba Yellowstone Atmosphere

TemperatureOther?

AerosolsAsh?

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

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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

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Finding Information

House keeping

Information needs

Orientation

In depth

Data

Illustration © Loet van Moll 2009

Page 25: Ess november 2015

Findig data: the bad news first

There is no “Google” or “Scopus” for data

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Parametrization for “Yellowstone”

looking for the right repository

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But do we

believe data?

Not

necessarily,

if we look at

this example

=>

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Example: Data on Europe’s population

(according to Eurostat)

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Example: Data on Europe’s population (according to

Eurostat) 2: What happened?

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To be complete: Asia’s population

according to Eurostat

So: data is meaningless without proper documentation at different levels (project, file, parameters)