Field course
Digitize, import, clean, and process
PFTC Teaching Material
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The PFTC model
Pre-course
Plan
1
Plan initial logistics
2
Selecting students
3
Contingency planning
4
Pre-course expectations survey
Design
5
Student pre-course preparation
6
Data sharing agreement
Field course
Collect
7
Collect real data
8
First days of the course
9
Systematic data collection
10
Problem solving
11
Herbarium vouchers
12
Peer learning and certification
13
The trait wheel
Digitize, import, clean, and process
14
Reproducible workflows, version control
15
Code based scripts
16
Quality control
17
Data curation
Analyse
18
Plant community composition data
19
Plant functional trait data
20
Bootstrapping trait data
Document
21
Data documentation
22
Well commented code
23
Last days of the course
Post-course
Communicate
24
Course evaluation
25
Papers
Archive
26
Open data
27
Working with PFTC data
Find & Reuse
28
Re-use
Other
29
Additional activities
30
Networking
31
Seminar series
32
Dissemination of open science
33
Learning outcomes
34
Collaboration skills
Course output
35
Course output
Study systems
36
Alpine ecosystems
37
Three-D project
38
INCLINE project
Field course
Digitize, import, clean, and process
Digitize, import, clean, and process
Enter the sheets, read them into R, clean them, and reshape them for analysis.
13
The trait wheel
14
Reproducible workflows, version control