51 lines
1.6 KiB
Markdown
51 lines
1.6 KiB
Markdown
# Toy data set for the methods seminar on data management SS2024
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## Responsible person
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Nora Wickelmaier
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Referentin Forschungsmethoden und Forschungsdatenmanagement
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Leibniz-Institut für Wissensmedien (IWM)
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n.wickelmaier@iwm-tuebingen.de
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## Folder structure and naming conventions
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```
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/example/
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|- /code/
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|- /data/
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|- /codebook/
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|- /rawdata/
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|- /results/
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```
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The `code` folder contains analysis scripts written in R. The scripts are
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numbered, indicating the order they should be executed in.
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The `data` folder contains all folders associated with data and its
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documentation.
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The `code` folder with contains different codebook options and R scripts that
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create these codebooks. If the codebook is created by an R script, the script
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and the codebook are named identically, e.g., `codebook_01.R` and
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`codebook_01.xslx`.
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The `rawdata` folder contains the downloads from Qualtrics. In Qualtrics, the
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variables have been selected and ordered and then downloaded, without the
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additional columns Qualtrics adds by default. The naming convention for the
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downloaded files is
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```
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RDM_MS_SS2024_download_<YYYY-MM-DD>.<fileending>
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```
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No other files than the downloads from qualtrics should go into this folder!
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The `results` folder contains processed data. The scripts in `/code/` process
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the data from `/rawdata/` and save the files containing the processed data to
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`/results/`. Data can be exported as CSV files or RData files. If different file
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formats contain the same data, they should be named identically, e.g.,
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`data_rdm-ms-ss2024_cleaned.csv` and `data_rdm-ms-ss2024_cleaned.RData`.
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