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f1f7f35988
| Author | SHA1 | Date | |
|---|---|---|---|
| f1f7f35988 | |||
| 102834032c |
6
02_workflow/surveys/votes.txt
Normal file
6
02_workflow/surveys/votes.txt
Normal file
@ -0,0 +1,6 @@
|
||||
"I know more than 3 RStudio short cuts" "6 votes" 38%
|
||||
"I have never updated my R packages" "2 votes" 13%
|
||||
"I know what the ISO 8601 date format is" "1 vote" 6%
|
||||
"I regularly delete duplicate files" "12 votes" 75%
|
||||
"I usually have a clean e-mail inbox" "7 votes" 44%
|
||||
"I use file naming conventions" "6 votes" 38%
|
||||
17
02_workflow/surveys/workflow.txt
Normal file
17
02_workflow/surveys/workflow.txt
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@ -0,0 +1,17 @@
|
||||
overcome first barrier of starting action by knowing what to do next
|
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A heuristic on how to do work. It standardises the involved steps, so to make sure nothing is left out or not completely done, it also increases speed, and the level of sureness all is done correctly
|
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Situationally adaptable steps one can follow to always know what comes next in a awork goal
|
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standardizing steps
|
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Process that optimises and connects all single parts/work steps
|
||||
Predefined steps to take (e.g. during preparing an experiments, collectin, analysing and publishing the data) - need it to make my life easier (not start over every time) and to make the process understandable and reproducible for others (other labs or someone taking over my project)
|
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needed that others can follow your steps without getting confused
|
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We can easily trace back and replicate the process
|
||||
Successive processing of subtasks
|
||||
version tracking with the possibility to update and share the progress
|
||||
Setting priorities
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Fixed sequence of work steps to ensure the replicability of the results
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So I can replicate "the result" the next time I need it
|
||||
a clear, reproducible process of work, to keep things clear
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ideally an automated process that we follow
|
||||
routines
|
||||
time management
|
||||
844
03_data_organisation/03_data_organisation.tex
Normal file
844
03_data_organisation/03_data_organisation.tex
Normal file
@ -0,0 +1,844 @@
|
||||
\documentclass[aspectratio=169]{beamer}
|
||||
|
||||
\usepackage{listings}
|
||||
\usepackage[utf8,latin1]{inputenc}
|
||||
\usepackage[style = apa, backend = biber, natbib = true]{biblatex}
|
||||
\addbibresource{../literature/lit.bib}
|
||||
|
||||
\usepackage{fancyvrb}
|
||||
\usepackage{fontawesome5} % get icons
|
||||
\usepackage{multirow}
|
||||
\usepackage{color, colortbl}
|
||||
|
||||
\usepackage{tikz}
|
||||
\usetikzlibrary{fit}
|
||||
\usepackage[edges]{forest}
|
||||
|
||||
\lstset{language=R,%
|
||||
backgroundcolor=\color{iwmgray!15!white},
|
||||
basicstyle=\ttfamily\color{iwmgray},
|
||||
frame=none,
|
||||
commentstyle=\slshape\color{iwmgreen},
|
||||
keywordstyle=\bfseries\color{iwmgray},
|
||||
identifierstyle=\color{iwmpurple},
|
||||
stringstyle=\color{iwmblue},
|
||||
numbers=none,%left,numberstyle=\tiny,
|
||||
basewidth={.5em, .4em},
|
||||
showstringspaces=false,
|
||||
emphstyle=\color{red!50!white}}
|
||||
|
||||
\makeatletter \def\newblock{\beamer@newblock} \makeatother
|
||||
|
||||
\beamertemplatenavigationsymbolsempty
|
||||
\setbeamertemplate{itemize items}[circle]
|
||||
\setbeamertemplate{section in toc}[circle]
|
||||
\mode<beamer>{\setbeamercolor{math text displayed}{fg=iwmgray}}
|
||||
\setbeamercolor{block body}{bg=iwmorange!50!white}
|
||||
\setbeamercolor{block title}{fg=white, bg=iwmorange}
|
||||
% Definitions for biblatex
|
||||
\setbeamercolor{bibliography entry note}{fg=iwmgray}
|
||||
\setbeamercolor{bibliography entry author}{fg=iwmgray}
|
||||
\setbeamertemplate{bibliography item}{}
|
||||
|
||||
\definecolor{iwmorange}{RGB}{255,105,0}
|
||||
\definecolor{iwmgray}{RGB}{67,79,79}
|
||||
\definecolor{iwmblue}{RGB}{60,180,220}
|
||||
\definecolor{iwmgreen}{RGB}{145,200,110}
|
||||
\definecolor{iwmpurple}{RGB}{120,0,75}
|
||||
|
||||
\setbeamercolor{title}{fg=iwmorange}
|
||||
\setbeamercolor{frametitle}{fg=iwmorange}
|
||||
\setbeamercolor{structure}{fg=iwmorange}
|
||||
\setbeamercolor{normal text}{fg=iwmgray}
|
||||
\setbeamercolor{author}{fg=iwmgray}
|
||||
\setbeamercolor{date}{fg=iwmgray}
|
||||
|
||||
\newcommand{\vect}[1]{\mathbf{#1}}
|
||||
\newcommand{\mat}[1]{\mathbf{#1}}
|
||||
\newcommand{\gvect}[1]{\boldsymbol{#1}}
|
||||
\newcommand{\gmat}[1]{\boldsymbol{#1}}
|
||||
|
||||
\AtBeginSection[]{
|
||||
\frame{
|
||||
\tableofcontents[sectionstyle=show/hide, subsectionstyle=show/show/hide]}}
|
||||
|
||||
\setbeamertemplate{headline}{
|
||||
\begin{beamercolorbox}{section in head}
|
||||
\vskip5pt\insertsectionnavigationhorizontal{\paperwidth}{}{}\vskip2pt
|
||||
\end{beamercolorbox}
|
||||
}
|
||||
|
||||
\setbeamertemplate{footline}{\vskip-2pt\hfill\insertframenumber$\;$\vskip2pt}
|
||||
|
||||
\title{Data organisation for effective research data management}
|
||||
\author{Nora Wickelmaier}
|
||||
\date{June 10, 2024}
|
||||
|
||||
\begin{document}
|
||||
|
||||
\begin{frame}{}
|
||||
\thispagestyle{empty}
|
||||
\titlepage
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Data request}
|
||||
\begin{center}
|
||||
\includegraphics[scale = .55]{../figures/email_data_request_2024_01}
|
||||
\end{center}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Data folder for the data requested}
|
||||
\begin{center}
|
||||
\includegraphics[scale = .6]{../figures/email_data_request_2024_03}
|
||||
\end{center}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{What is bad about this data organisation?}
|
||||
% slido
|
||||
\centering
|
||||
\includegraphics[width = 5cm]{../figures/QR Code for Methodenseminar SS 2024 - Session 3}
|
||||
|
||||
\url{https://app.sli.do/event/3S1Bn3Tjknuk5J5WiqAYzG}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[<+->]{Bad things about this data organisation}
|
||||
\begin{itemize}
|
||||
\item Raw and processed data are in the same folder
|
||||
\item File naming does not sort in a sensible way: Best order would be first
|
||||
by subject, then by session
|
||||
\item Data and data scripts are in the same folder
|
||||
\item Data scripts are not numbered, unclear in what order they need to be
|
||||
executed
|
||||
\item There are plot files (PDFs) between the data and code files
|
||||
\item It is unclear which are the final and processed data files
|
||||
\item The final data files are not stored in an interoperable format: There
|
||||
is only an \texttt{.RData} file that (probably) contains the final data
|
||||
which was used for further analyses
|
||||
\item There is no documentation whatsoever
|
||||
\item \dots
|
||||
\end{itemize}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Topics for this semester}
|
||||
\centering
|
||||
\begin{tabular}{ll}
|
||||
\hline
|
||||
Date & Topic \\
|
||||
\hline
|
||||
2024-05-13 & Introduction to data management \\
|
||||
2024-05-27 & Workflow \\
|
||||
\only<1>{2024-06-10}\only<2>{\bf 2024-06-10} & \only<1>{Data organisation}\only<2>{\bf Data organisation}\\
|
||||
2024-06-24 & Data sharing \\
|
||||
2024-07-08 & Clean coding \\
|
||||
2024-07-22 & Version control \\
|
||||
\hline
|
||||
\end{tabular}
|
||||
\end{frame}
|
||||
|
||||
% * different data sources
|
||||
% * content README file
|
||||
% * best arrangement of data
|
||||
% * redundancy
|
||||
% * anonymizing/pseudonymizing data
|
||||
|
||||
\section{Folder organisation}
|
||||
|
||||
\begin{frame}[<+->]{Some general rules}
|
||||
\begin{itemize}
|
||||
\item One project, one folder
|
||||
\item Add README file at top level
|
||||
\item Raw data are in a separate folder (and stay separate!)
|
||||
\item Have a code folder
|
||||
\item It is often a good idea to separate your data analysis from papers,
|
||||
talks, etc. (especially if you want to publish your data)
|
||||
\item Have designated folders where stuff is written to (e.\,g.,
|
||||
\texttt{results}, \texttt{figures}, \texttt{processed}, etc.)
|
||||
\end{itemize}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Folder organisation}
|
||||
{One possible example!}
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node[text width = 2cm] (top) at (0, 0) {\faIcon{folder} \verb+project+};
|
||||
% first level
|
||||
\node (n1) at (4, 0) {\faIcon{folder} \verb+admin+};
|
||||
\node[text width = 3cm] (n2) at (3.5, -0.7) {\faIcon{folder} \verb+analysis+};
|
||||
\node (n4) at (4, -1.4) {\faIcon{folder} \verb+dissemination+};
|
||||
\node (n3) at (4, -2.1) {\faIcon{folder} \verb+material+};
|
||||
\node (file) at (4, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (top.east) -- (n1.west);
|
||||
\path (top.east) -- (n2.west);
|
||||
\path (top.east) -- (n3.west);
|
||||
\path (top.east) -- (file.west);
|
||||
\end{tikzpicture}
|
||||
\vfill
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Folder organisation}
|
||||
{Analysis folder}
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node[text width = 2cm] (top) at (0, 0) {\faIcon{folder} \verb+project+};
|
||||
% first level
|
||||
\node (n1) at (4, 0) {\faIcon{folder} \verb+admin+};
|
||||
\node[text width = 3cm] (n2) at (3.5, -0.7) {\faIcon{folder} \verb+analysis+};
|
||||
\node (n4) at (4, -1.4) {\faIcon{folder} \verb+dissemination+};
|
||||
\node (n3) at (4, -2.1) {\faIcon{folder} \verb+material+};
|
||||
\node (file) at (4, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (top.east) -- (n1.west);
|
||||
\path (top.east) -- (n2.west);
|
||||
\path (top.east) -- (n3.west);
|
||||
\path (top.east) -- (file.west);
|
||||
% second level
|
||||
\node (o1) at (8.5, 0) {\faIcon{folder} \verb+code+};
|
||||
\node (o2) at (8.5, -0.7) {\faIcon{folder} \verb+data+};
|
||||
\node (o3) at (8.5, -1.4) {\faIcon{folder} \verb+figures+};
|
||||
\node (o4) at (8.5, -2.1) {\faIcon{folder} \verb+results+};
|
||||
\node (o5) at (8.5, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (n2.east) -- (o1.west);
|
||||
\path (n2.east) -- (o2.west);
|
||||
\path (n2.east) -- (o3.west);
|
||||
\path (n2.east) -- (o4.west);
|
||||
\path (n2.east) -- (o5.west);
|
||||
\end{tikzpicture}
|
||||
\vfill
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Folder organisation}
|
||||
{Analysis folder}
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node[text width = 2cm] (top) at (0, 0) {\faIcon{folder} \verb+project+};
|
||||
% first level
|
||||
\node (n1) at (4, 0) {\faIcon{folder} \verb+admin+};
|
||||
\node[text width = 3cm] (n2) at (3.5, -0.7) {\faIcon{folder} \verb+analysis+};
|
||||
\node (n4) at (4, -1.4) {\faIcon{folder} \verb+dissemination+};
|
||||
\node (n3) at (4, -2.1) {\faIcon{folder} \verb+material+};
|
||||
\node (file) at (4, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (top.east) -- (n1.west);
|
||||
\path (top.east) -- (n2.west);
|
||||
\path (top.east) -- (n3.west);
|
||||
\path (top.east) -- (file.west);
|
||||
% second level
|
||||
\node (o1) at (8.5, 0) {\faIcon{folder} \verb+code+};
|
||||
\node (o2) at (8.5, -0.7) {\faIcon{folder} \verb+data+};
|
||||
\node (o3) at (8.5, -1.4) {\faIcon{folder} \verb+figures+};
|
||||
\node (o4) at (8.5, -2.1) {\faIcon{folder} \verb+results+};
|
||||
\node (o5) at (8.5, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (n2.east) -- (o1.west);
|
||||
\path (n2.east) -- (o2.west);
|
||||
\path (n2.east) -- (o3.west);
|
||||
\path (n2.east) -- (o4.west);
|
||||
\path (n2.east) -- (o5.west);
|
||||
% third level
|
||||
\node[text width = 5cm] (p1) at (12, 0) {\faIcon[regular]{file} \verb+01_preprocessing.R+};
|
||||
\node[text width = 5cm] (p2) at (12, -0.7) {\faIcon[regular]{file} \verb+02_descriptives.R+};
|
||||
\node[text width = 5cm] (p3) at (12, -1.4) {\faIcon[regular]{file} \verb+03_modeling.R+};
|
||||
\node[text width = 5cm] (p4) at (12, -2.1) {\faIcon[regular]{file} \verb+04_plots.R+};
|
||||
\path (o1.center) -- (p1.west);
|
||||
\path (o1.center) -- (p2.west);
|
||||
\path (o1.center) -- (p3.west);
|
||||
\path (o1.center) -- (p4.west);
|
||||
\end{tikzpicture}
|
||||
\vfill
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Folder organisation}
|
||||
{Analysis folder}
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node[text width = 2cm] (top) at (0, 0) {\faIcon{folder} \verb+project+};
|
||||
% first level
|
||||
\node (n1) at (4, 0) {\faIcon{folder} \verb+admin+};
|
||||
\node[text width = 3cm] (n2) at (3.5, -0.7) {\faIcon{folder} \verb+analysis+};
|
||||
\node (n4) at (4, -1.4) {\faIcon{folder} \verb+dissemination+};
|
||||
\node (n3) at (4, -2.1) {\faIcon{folder} \verb+material+};
|
||||
\node (file) at (4, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (top.east) -- (n1.west);
|
||||
\path (top.east) -- (n2.west);
|
||||
\path (top.east) -- (n3.west);
|
||||
\path (top.east) -- (file.west);
|
||||
% second level
|
||||
\node (o1) at (8.5, 0) {\faIcon{folder} \verb+code+};
|
||||
\node (o2) at (8.5, -0.7) {\faIcon{folder} \verb+data+};
|
||||
\node (o3) at (8.5, -1.4) {\faIcon{folder} \verb+figures+};
|
||||
\node (o4) at (8.5, -2.1) {\faIcon{folder} \verb+results+};
|
||||
\node (o5) at (8.5, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (n2.east) -- (o1.west);
|
||||
\path (n2.east) -- (o2.west);
|
||||
\path (n2.east) -- (o3.west);
|
||||
\path (n2.east) -- (o4.west);
|
||||
\path (n2.east) -- (o5.west);
|
||||
% third level
|
||||
\node[text width = 5cm] (p1) at (12, 0) {\faIcon[regular]{file} \verb+subj1_ses01.txt+};
|
||||
\node[text width = 5cm] (p2) at (12, -0.7) {\faIcon[regular]{file} \verb+subj1_ses02.txt+};
|
||||
\node[text width = 5cm] (p3) at (12, -1.4) {\faIcon[regular]{file} \verb+subj2_ses01.txt+};
|
||||
\node[text width = 5cm] (p4) at (12, -2.1) {\faIcon[regular]{file} \verb+subj2_ses02.txt+};
|
||||
\node[text width = 5cm] (p5) at (12, -2.8) {\faIcon[regular]{file} \dots};
|
||||
\path (o2.center) -- (p1.west);
|
||||
\path (o2.center) -- (p2.west);
|
||||
\path (o2.center) -- (p3.west);
|
||||
\path (o2.center) -- (p4.west);
|
||||
\path (o2.center) -- (p5.west);
|
||||
\end{tikzpicture}
|
||||
\vfill
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Folder organisation}
|
||||
{Analysis folder}
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node[text width = 2cm] (top) at (0, 0) {\faIcon{folder} \verb+project+};
|
||||
% first level
|
||||
\node (n1) at (4, 0) {\faIcon{folder} \verb+admin+};
|
||||
\node[text width = 3cm] (n2) at (3.5, -0.7) {\faIcon{folder} \verb+analysis+};
|
||||
\node (n4) at (4, -1.4) {\faIcon{folder} \verb+dissemination+};
|
||||
\node (n3) at (4, -2.1) {\faIcon{folder} \verb+material+};
|
||||
\node (file) at (4, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (top.east) -- (n1.west);
|
||||
\path (top.east) -- (n2.west);
|
||||
\path (top.east) -- (n3.west);
|
||||
\path (top.east) -- (file.west);
|
||||
% second level
|
||||
\node (o1) at (8.5, 0) {\faIcon{folder} \verb+code+};
|
||||
\node (o2) at (8.5, -0.7) {\faIcon{folder} \verb+data+};
|
||||
\node (o3) at (8.5, -1.4) {\faIcon{folder} \verb+figures+};
|
||||
\node (o4) at (8.5, -2.1) {\faIcon{folder} \verb+results+};
|
||||
\node (o5) at (8.5, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (n2.east) -- (o1.west);
|
||||
\path (n2.east) -- (o2.west);
|
||||
\path (n2.east) -- (o3.west);
|
||||
\path (n2.east) -- (o4.west);
|
||||
\path (n2.east) -- (o5.west);
|
||||
% third level
|
||||
\node[text width = 5cm] (p1) at (12, -0.7) {\faIcon[regular]{file}
|
||||
\verb+data_all-subj.csv+};
|
||||
\node[text width = 5cm] (p2) at (12, -1.4) {\faIcon[regular]{file}
|
||||
\verb+data_all-subj.RData+};
|
||||
\node[text width = 5cm] (p3) at (12, -2.1) {\faIcon[regular]{file}
|
||||
\verb+eval_model1.csv+};
|
||||
\node[text width = 5cm] (p4) at (12, -2.8) {\faIcon[regular]{file}
|
||||
\verb+eval_model2.csv+};
|
||||
\path (o4.center) -- (p1.west);
|
||||
\path (o4.center) -- (p2.west);
|
||||
\path (o4.center) -- (p3.west);
|
||||
\path (o4.center) -- (p4.west);
|
||||
\end{tikzpicture}
|
||||
\vfill
|
||||
\pause
|
||||
The analysis folder you might want to share on OSF, Github, etc.
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Folder organisation}
|
||||
{Dissemination folder}
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node[text width = 2cm] (top) at (0, 0) {\faIcon{folder} \verb+project+};
|
||||
% first level
|
||||
\node (n1) at (4, 0) {\faIcon{folder} \verb+admin+};
|
||||
\node (n2) at (4, -0.7) {\faIcon{folder} \verb+analysis+};
|
||||
\node[text width = 3.2cm] (n3) at (3.6, -1.4) {\faIcon{folder} \verb+dissemination+};
|
||||
\node (n4) at (4, -2.1) {\faIcon{folder} \verb+material+};
|
||||
\node (file) at (4, -2.8) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (top.east) -- (n1.west);
|
||||
\path (top.east) -- (n2.west);
|
||||
\path (top.east) -- (n3.west);
|
||||
\path (top.east) -- (file.west);
|
||||
% second level
|
||||
\node (o1) at (8.5, 0) {\faIcon{folder} \verb+paper+};
|
||||
\node (o2) at (8.5, -0.7) {\faIcon{folder} \verb+talks+};
|
||||
\node (o3) at (8.5, -1.4) {\faIcon{folder} \verb+figures+};
|
||||
\node (o4) at (8.5, -2.1) {\faIcon{folder} \verb+results+};
|
||||
\node (o5) at (8.5, -2.8) {\faIcon{folder} \verb+tables+};
|
||||
\path (n3.east) -- (o1.west);
|
||||
\path (n3.east) -- (o2.west);
|
||||
\path (n3.east) -- (o3.west);
|
||||
\path (n3.east) -- (o4.west);
|
||||
\path (n3.east) -- (o5.west);
|
||||
\end{tikzpicture}
|
||||
\vfill
|
||||
\pause
|
||||
Having separate folders for figures and tables helps you keep track of them
|
||||
for your paper and talks
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Figures and tables}
|
||||
\begin{itemize}
|
||||
\item Most of us (including me!) are not at a stage where we are
|
||||
writing our papers or talks as reproducible documents
|
||||
\pause
|
||||
\item It is still a good idea to create tables and figures in R and keep the
|
||||
code easily accessible
|
||||
\pause
|
||||
\item One suggestion
|
||||
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4.2cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
% figures
|
||||
\node (fig) at (0, 0) {\faIcon{folder} \verb+figures+};
|
||||
\node (n1) at (4, 0) {\faIcon[regular]{file} \verb+h1_barplot.R+};
|
||||
\node (n2) at (4, -0.7) {\faIcon[regular]{file} \verb+h1_barplot.png+};
|
||||
\path (fig.center) -- (n1.west);
|
||||
\path (fig.center) -- (n2.west);
|
||||
% tables
|
||||
\node (tab) at (0, -1.5) {\faIcon{folder} \verb+tables+};
|
||||
\node (o1) at (4, -1.5) {\faIcon[regular]{file} \verb+h1_mean-table.Rmd+};
|
||||
\node (o2) at (4, -2.2) {\faIcon[regular]{file} \verb+h1_mean-table.docx+};
|
||||
\path (tab.center) -- (o1.west);
|
||||
\path (tab.center) -- (o2.west);
|
||||
\end{tikzpicture}
|
||||
\pause
|
||||
\item I export the data for figures and tables from \texttt{analysis/code}
|
||||
to \texttt{dissemination/results} so the dissemination folder is
|
||||
self-contained
|
||||
\end{itemize}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Several data sources}
|
||||
\begin{itemize}
|
||||
\item When you have several different data sources like questionnaires and
|
||||
eye-tracking data keep them in separate folders
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node (data) at (0, 0) {\faIcon{folder} \verb+data+};
|
||||
\node (n1) at (4, 0) {\faIcon{folder} \verb+eyetracking+};
|
||||
\node (n2) at (4, -0.7) {\faIcon{folder} \verb+qualtrics+};
|
||||
\path (data.center) -- (n1.west);
|
||||
\path (data.center) -- (n2.west);
|
||||
\end{tikzpicture}
|
||||
\pause
|
||||
\item Process them separately, e.\,g., with
|
||||
\verb+01a_preprocessing_eyetracking.R+ and
|
||||
\verb+01b_preprocessing_surveys.R+ and then \verb+02_combine-data.R+
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 5cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node (results) at (0, 0) {\faIcon{folder} \verb+results+};
|
||||
\node (n1) at (4, 0) {\faIcon[regular]{file} \verb+data_eyetracking.csv+};
|
||||
\node (n2) at (4, -0.7) {\faIcon[regular]{file} \verb+data_surveys.csv+};
|
||||
\node (n3) at (4, -1.4) {\faIcon[regular]{file} \verb+data_complete.csv+};
|
||||
\path (results.center) -- (n1.west);
|
||||
\path (results.center) -- (n2.west);
|
||||
\path (results.center) -- (n3.west);
|
||||
\end{tikzpicture}
|
||||
\end{itemize}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Toy example with 11 questions}
|
||||
Thank you everybody for filling out our little toy survey in Qualtrics!
|
||||
\vfill
|
||||
\tiny
|
||||
\begin{tabular}{lllll}
|
||||
\hline
|
||||
ResponseId & age & sex & data\_sharing\_1 & data\_sharing\_2 \\
|
||||
\hline
|
||||
R\_225ffqhb7qRaIGO:1 & Min. :24.00 & m : 2 & No :7 & Min. :1.000 \\
|
||||
R\_2F9fXxf3NedHqZl:1 & 1st Qu.:26.50 & f :11 & Yes:7 & 1st Qu.:1.000 \\
|
||||
R\_2foYj4iSgaBTkEO:1 & Median :28.00 & d : 1 & & Median :2.000 \\
|
||||
R\_2J9B4aLaasQ1m81:1 & Mean :29.86 & not indicated: 0 & & Mean :2.214 \\
|
||||
R\_2P1TMDNlwm0gSIk:1 & 3rd Qu.:30.00 & & & 3rd Qu.:2.000 \\
|
||||
R\_2pXfOSq8DBImG6R:1 & Max. :43.00 & & & Max. :6.000 \\
|
||||
(Other) :8 & & & & \\
|
||||
\hline
|
||||
\end{tabular}
|
||||
|
||||
\vspace{.5cm}
|
||||
\begin{tabular}{lllllll}
|
||||
\hline
|
||||
rdm\_stmnt\_1 & rdm\_stmnt\_2 & rdm\_stmnt\_3 & rdm\_stmnt\_4 & rdm\_stmnt\_5 & career\_level\_1 & career\_level\_2 \\
|
||||
\hline
|
||||
Min. :2.000 & Min. :2 & Min. :2.000 & Min. :1.000 & Min. :1.000 & Student : 0 & Min. : 1.000 \\
|
||||
1st Qu.:3.250 & 1st Qu.:4 & 1st Qu.:2.250 & 1st Qu.:1.000 & 1st Qu.:1.000 & PhD student :11 & 1st Qu.: 1.625 \\
|
||||
Median :4.500 & Median :4 & Median :3.000 & Median :1.000 & Median :1.000 & Postdoc : 1 & Median : 2.500 \\
|
||||
Mean :4.071 & Mean :4 & Mean :2.857 & Mean :1.143 & Mean :1.143 & Senior researcher: 0 & Mean : 5.964 \\
|
||||
3rd Qu.:5.000 & 3rd Qu.:5 & 3rd Qu.:3.000 & 3rd Qu.:1.000 & 3rd Qu.:1.000 & Professor : 1 & 3rd Qu.: 4.500 \\
|
||||
Max. :5.000 & Max. :5 & Max. :5.000 & Max. :2.000 & Max. :2.000 & Other : 1 & Max. :38.000 \\
|
||||
& NA's :1 & & & & & \\
|
||||
\hline
|
||||
\end{tabular}
|
||||
\end{frame}
|
||||
|
||||
% print(xtable::xtable(summary(dat[, 1:5])), include.rownames = FALSE)
|
||||
% print(xtable::xtable(summary(dat[, 6:12])), include.rownames = FALSE)
|
||||
|
||||
\begin{frame}[fragile]{Folder structure for toy example}
|
||||
{One possible structure!}
|
||||
\begin{tikzpicture}[
|
||||
every node/.style = {text width = 4.3cm, align = left},
|
||||
every path/.style = {thick, draw}
|
||||
]
|
||||
\node (ex) at (0, 0) {\faIcon{folder} \verb+example+};
|
||||
\node (n1) at (3, 0) {\faIcon{folder} \verb+code+};
|
||||
\node (n2) at (3, -0.7) {\faIcon{folder} \verb+data+};
|
||||
\node (n3) at (3, -1.4) {\faIcon[regular]{file} \verb+README.md+};
|
||||
\path (ex.center) -- (n1.west);
|
||||
\path (ex.center) -- (n2.west);
|
||||
\path (ex.center) -- (n3.west);
|
||||
|
||||
\node (o1) at (7, 0.7) {\faIcon[regular]{file} \verb+01_preprocessing.R+};
|
||||
\node (o2) at (7, -0.7) {\faIcon{folder} \verb+codebook+};
|
||||
\node (o3) at (7, -1.4) {\faIcon{folder} \verb+rawdata+};
|
||||
\node (o4) at (7, -2.1) {\faIcon{folder} \verb+results+};
|
||||
\path (n1.center) -- (o1.west);
|
||||
\path (n2.center) -- (o2.west);
|
||||
\path (n2.center) -- (o3.west);
|
||||
\path (n2.center) -- (o4.west);
|
||||
|
||||
\node (p1) at (11, -0.7) {\faIcon[regular]{file} \verb+codebook_01.R+};
|
||||
\node (p2) at (11, -1.4) {\faIcon[regular]{file} \verb+codebook_01.xlsx+};
|
||||
\node (p3) at (11, -2.1) {\dots};
|
||||
|
||||
\path (o2.center) -- (p1.west);
|
||||
\path (o2.center) -- (p2.west);
|
||||
\path (o2.center) -- (p3.west);
|
||||
\end{tikzpicture}
|
||||
|
||||
\end{frame}
|
||||
|
||||
\section{Metadata}
|
||||
|
||||
\begin{frame}{Metadata answers questions}
|
||||
\begin{itemize}
|
||||
\item {\bf Who} created the data?
|
||||
\item {\bf Why} was the data created?
|
||||
\item {\bf When} was the data created?
|
||||
\item {\bf Where} is the data?
|
||||
\item {\bf How} was the data created?
|
||||
\item {\bf What} is the content of the data?
|
||||
\end{itemize}
|
||||
\vfill
|
||||
\hfill{\tiny \citet{Wilbrandt2023}}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Metadata}
|
||||
\begin{block}{Metadata}
|
||||
\dots is data about data.\\
|
||||
\dots can be \emph{descriptive}, \emph{structural}, or \emph{administrative}.
|
||||
\end{block}
|
||||
\vfill
|
||||
\begin{columns}
|
||||
\begin{column}[t]{.5\textwidth}
|
||||
Contains information on origin and background of data like
|
||||
\begin{itemize}
|
||||
\item Who, when, why, how, \dots
|
||||
\item Used resources
|
||||
\item Used abbreviations, units, names
|
||||
\item Licenses
|
||||
\item \dots
|
||||
\end{itemize}
|
||||
\end{column}
|
||||
\begin{column}[t]{.5\textwidth}
|
||||
Data can be anything like
|
||||
\begin{itemize}
|
||||
\item Book content
|
||||
\item Pictures or audio files
|
||||
\item Website content or a blog post
|
||||
\item Journal paper
|
||||
\item Research data
|
||||
\item \dots
|
||||
\end{itemize}
|
||||
\end{column}
|
||||
\end{columns}
|
||||
\vfill
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Metadata examples}
|
||||
{Photo}
|
||||
\begin{center}
|
||||
\includegraphics[scale = .31]{../figures/metadata_photo}
|
||||
\end{center}
|
||||
\hfill{\tiny \url{https://dataedo.com/kb/data-glossary/what-is-metadata}}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Metadata examples}
|
||||
{Book}
|
||||
\begin{center}
|
||||
\includegraphics[scale = .36]{../figures/metadata_book}
|
||||
\end{center}
|
||||
\hfill{\tiny \url{https://dataedo.com/kb/data-glossary/what-is-metadata}}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Metadata examples}
|
||||
{Webpage}
|
||||
\begin{center}
|
||||
\includegraphics[scale = .27]{../figures/metadata_webpage}
|
||||
\end{center}
|
||||
\hfill{\tiny \url{https://dataedo.com/kb/data-glossary/what-is-metadata}}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Metadata examples}
|
||||
{WORD document}
|
||||
\begin{center}
|
||||
\includegraphics[scale = .23]{../figures/metadata_word_document}
|
||||
\end{center}
|
||||
\hfill{\tiny \url{https://dataedo.com/kb/data-glossary/what-is-metadata}}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Metadata for research data}
|
||||
\begin{tikzpicture}
|
||||
\node[font=\Large] (n1) at (0,0) {\bf \color{iwmorange} Study};
|
||||
|
||||
\node[font=\large] (i1) at (0,-1) {$\bullet$ Persons};
|
||||
\node[font=\large] (i2) at (.36,-1.5) {$\bullet$ Background};
|
||||
\node[font=\large] (i3) at (.03,-2) {$\bullet$ Funding};
|
||||
\node[font=\large] (i4) at (-.38,-2.5) {$\bullet$ \dots};
|
||||
\node[draw=iwmorange, thick, fit={(n1) (i1) (i2) (i3) (i4)}, inner sep=10pt] (box) {};
|
||||
|
||||
\node[font=\Large] (n2) at (5,0) {\bf \color{iwmorange} Data set};
|
||||
|
||||
\node[font=\large] (j1) at (4.3,-1) {$\bullet$ Files};
|
||||
\node[font=\large] (j2) at (4.57,-1.5) {$\bullet$ Sources};
|
||||
\node[font=\large] (j3) at (4.65,-2) {$\bullet$ Methods};
|
||||
\node[font=\large] (j4) at (4.18,-2.5) {$\bullet$ \dots};
|
||||
\node[draw=iwmorange, thick, fit={(n2) (j1) (j2) (j3) (j4)}, inner sep=10pt] (box) {};
|
||||
|
||||
\node[font=\Large] (n3) at (10,0) {\bf \color{iwmorange} Variables};
|
||||
|
||||
\node[font=\large] (k1) at (9.7,-1) {$\bullet$ Data type};
|
||||
\node[font=\large] (k2) at (9.69,-1.5) {$\bullet$ Scale unit};
|
||||
\node[font=\large] (k3) at (9.85,-2) {$\bullet$ Value range};
|
||||
\node[font=\large] (k4) at (9.12,-2.5) {$\bullet$ \dots};
|
||||
\node[draw=iwmorange, thick, fit={(n3) (k1) (k2) (k3) (k4)}, inner sep=10pt] (box) {};
|
||||
|
||||
\draw[-latex, thick] (n1) -- (n2);
|
||||
\draw[-latex, thick] (n2) -- (n3);
|
||||
\end{tikzpicture}
|
||||
\vfill
|
||||
\hfill\tiny \url{https://datamanagement.hms.harvard.edu/collect/readme-files}
|
||||
\end{frame}
|
||||
|
||||
\section{README files}
|
||||
|
||||
\begin{frame}{README files}
|
||||
\begin{itemize}
|
||||
\item Can be used to give information about all levels in a research
|
||||
project: study/project, data set, variables; either in one README or in
|
||||
several ones
|
||||
\item Should provide a clear and concise description of all relevant details
|
||||
about data collection, processing, and analysis
|
||||
\item README files are created for different purposes:
|
||||
\begin{itemize}
|
||||
\item to document changes to files or file names within a folder
|
||||
\item to explain file naming conventions, practices, etc.\ ``in
|
||||
general'' for future reference
|
||||
\item to specifically accompany files/data being deposited in a
|
||||
repository
|
||||
\end{itemize}
|
||||
\item Creating a README file at the beginning of your research process,
|
||||
and updating it consistently throughout your research, will help you
|
||||
to compile a final README file when your data is ready for deposit
|
||||
\item Find a template here:
|
||||
\url{https://cornell.app.box.com/v/ReadmeTemplate}
|
||||
\end{itemize}
|
||||
\vfill
|
||||
\hfill\tiny \url{https://datamanagement.hms.harvard.edu/collect/readme-files}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Study/project}{README on top level}
|
||||
\begin{itemize}
|
||||
\item Project name and purpose
|
||||
\item Funding information (process number!)
|
||||
\item Ethics approved? LEK number!
|
||||
\item Person(s) responsible for study conduction
|
||||
\item One or several studies? Infos about them
|
||||
\item Time/Duration of project
|
||||
\item \dots
|
||||
\end{itemize}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Data set}{README accompanying data set(s)}
|
||||
\begin{itemize}
|
||||
\item One or more data sets?
|
||||
\item Time of data collection
|
||||
\item Person(s) responsible for data collection
|
||||
\item File organisation
|
||||
\item Naming conventions
|
||||
\item Preprocessing methods
|
||||
\item Anything that is special about the data set(s)
|
||||
\item Number of subjects
|
||||
\item Variables
|
||||
\item \dots
|
||||
\end{itemize}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Variables}{README accompanying a specific data set}
|
||||
\begin{itemize}
|
||||
\item You can use a README (or text file called \texttt{codebook.txt} or
|
||||
similar) to document your variables
|
||||
\item Especially, if you only have a few variables, this is an easy and fast
|
||||
way to document them
|
||||
\item If you are working with extensive surveys or questionnaires, it might
|
||||
be a good time investment to create a more elaborate codebook
|
||||
\end{itemize}
|
||||
\vfill
|
||||
\end{frame}
|
||||
|
||||
\section{Codebooks}
|
||||
|
||||
\begin{frame}{What information about variables should a codebook include?}
|
||||
% slido
|
||||
\centering
|
||||
\includegraphics[width = 5cm]{../figures/QR Code for Methodenseminar SS 2024 - Session 3}
|
||||
|
||||
\url{https://app.sli.do/event/3S1Bn3Tjknuk5J5WiqAYzG}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{A codebook should include}
|
||||
\begin{tabular}{lp{11cm}}
|
||||
\hline
|
||||
Variable name & Usually some abbreviation like \texttt{pna01} \\
|
||||
Variable label & Brief description to identify variable \\
|
||||
Question text & If applicable, exact wording from survey question \\
|
||||
Values & Values variable can take (e.\,g, 1 to 5) \\
|
||||
Value labels & If applicable, textual descriptions of the values \\
|
||||
Statistics & For example, range, mean, standard deviation for
|
||||
numeric variables; frequencies and percentages for categorical variables \\
|
||||
Missing data & If applicable, values and labels of missing data \\
|
||||
Notes & Additional notes, remarks, or comments; for measures or
|
||||
questions from copyrighted instruments, the notes field can be used to
|
||||
cite the source \\
|
||||
\hline
|
||||
\end{tabular}
|
||||
\vfill
|
||||
|
||||
\hfill\tiny \url{https://www.icpsr.umich.edu/web/ICPSR/cms/1983}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Codebooks}
|
||||
\begin{itemize}
|
||||
\item There are many different ways to create a codebook
|
||||
\item It can be a README, some other plain text file, a table (stored as CSV
|
||||
or XLSX), a WORD document, or PDF
|
||||
\item For a short questionnaire, it can be sufficient to export it as a PDF
|
||||
\item Let's walk through a couple of options\dots
|
||||
\end{itemize}
|
||||
\vfill
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}{Option 1 -- Toy example with 11 questions}
|
||||
{Simple PDF}
|
||||
\begin{columns}
|
||||
\begin{column}{.5\textwidth}
|
||||
\begin{center}
|
||||
\vspace{-.4cm}
|
||||
Export from Qualtrics\\
|
||||
\includegraphics[scale = .3]{../figures/codebook_1.png}
|
||||
\end{center}
|
||||
\end{column}
|
||||
\begin{column}{.6\textwidth}
|
||||
\begin{itemize}
|
||||
\item For a simple questionnaire like this, the exported WORD document
|
||||
from Qualtrics exported to PDF might be sufficient as a codebook
|
||||
\item For longer questionnaires, the WORD document can still be a good
|
||||
starting point to create a more elaborate codebook
|
||||
\end{itemize}
|
||||
\end{column}
|
||||
\end{columns}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Option 2 -- Toy example with 11 questions}
|
||||
{Plain text file}
|
||||
\begin{center}
|
||||
\vspace{-.3cm}
|
||||
\footnotesize
|
||||
\begin{lstlisting}[language = bash, identifierstyle=\color{iwmgray}]
|
||||
sex. Please indicate your sex.
|
||||
-------------------------------------------------------------------------------
|
||||
-1. m
|
||||
-2. f
|
||||
-3. d
|
||||
-4. not indicated
|
||||
|
||||
age. How old are you? Please enter your age in years.
|
||||
-------------------------------------------------------------------------------
|
||||
numerical input
|
||||
|
||||
data_sharing_1. Have you ever published data in a repository?
|
||||
-------------------------------------------------------------------------------
|
||||
-1. No
|
||||
-2. Yes
|
||||
\end{lstlisting}
|
||||
\end{center}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Option 3 -- Toy example with 11 questions}
|
||||
{Creating a simple codebook in R ``by hand''}
|
||||
\footnotesize
|
||||
\begin{lstlisting}
|
||||
load("results/data_rdm-ms-ss2024_cleaned.RData")
|
||||
codebook <- data.frame(var_name = names(dat),
|
||||
var_text = c("Response Id", "Please indicate your sex.",
|
||||
"How old are you? Please enter your age in years.",
|
||||
...
|
||||
"Sharing data is bad scientific practice",
|
||||
"What is your current career level?",
|
||||
"How long have you been working in science (in years)?"))
|
||||
|
||||
codebook$type <- sapply(dat, class)
|
||||
codebook$n <- sapply(dat, length)
|
||||
codebook$mean <- sapply(dat,
|
||||
function(x) ifelse(is.numeric(x), mean(x, na.rm = TRUE), NA))
|
||||
codebook$sd <- sapply(dat, function(x) ifelse(is.numeric(x), sd(x), NA))
|
||||
|
||||
openxlsx::write.xlsx(codebook, file = "codebook/codebook_01.xlsx")
|
||||
\end{lstlisting}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Option 3 -- Toy example with 11 questions}
|
||||
{Creating a simple codebook in R ``by hand''}
|
||||
\begin{center}
|
||||
\includegraphics[scale = .6]{../figures/codebook_2.png}
|
||||
\end{center}
|
||||
\end{frame}
|
||||
|
||||
\begin{frame}[fragile]{Option 4 -- Toy example with 11 questions}
|
||||
{Using the codebook package in R}
|
||||
\begin{itemize}
|
||||
\item When you export a qualtrics questionnaire as SPSS file and import it
|
||||
into R using the haven package, you can use RMarkdown to create an
|
||||
elaborate HTML codebook
|
||||
\item It works best for classical questionnaire items
|
||||
\item In our example, the survey is not formatted well enough for the
|
||||
generated codebook to be completely correct
|
||||
\end{itemize}
|
||||
\footnotesize
|
||||
\begin{lstlisting}
|
||||
#' ---
|
||||
#' title: Codebook for Data Set "RDM MS SS 2024"
|
||||
#' author: Nora Wickelmaier
|
||||
#' ---
|
||||
|
||||
#+ echo = FALSE
|
||||
dat <- haven::read_spss("../rawdata/RDM_MS_SS2024_download_2024-06-04.sav")
|
||||
codebook::codebook(dat)
|
||||
\end{lstlisting}
|
||||
\end{frame}
|
||||
|
||||
\appendix
|
||||
%%\begin{frame}[allowframebreaks]{References}
|
||||
\begin{frame}{References}
|
||||
%\renewcommand{\bibfont}{\small}
|
||||
\printbibliography
|
||||
\vfill
|
||||
\end{frame}
|
||||
|
||||
\end{document}
|
||||
|
||||
47
03_data_organisation/example/README.md
Normal file
47
03_data_organisation/example/README.md
Normal file
@ -0,0 +1,47 @@
|
||||
# Toy data set for the methods seminar on data management SS2024
|
||||
|
||||
## Responsible person
|
||||
|
||||
Nora Wickelmaier
|
||||
Referentin Forschungsmethoden und Forschungsdatenmanagement
|
||||
Leibniz-Institut für Wissensmedien (IWM)
|
||||
n.wickelmaier@iwm-tuebingen.de
|
||||
|
||||
## Folder structure and naming conventions
|
||||
|
||||
```
|
||||
/example/
|
||||
|
|
||||
|- /code/
|
||||
|- /data/
|
||||
|- /codebook/
|
||||
|- /rawdata/
|
||||
|- /results/
|
||||
```
|
||||
|
||||
The `code` folder contains analysis scripts written in R. The scripts are
|
||||
numbered, indicating the order they should be executed in.
|
||||
|
||||
The `data` folder contains all folders associated with data and its
|
||||
documentation.
|
||||
|
||||
The `code` folder with contains different codebook options and R scripts that
|
||||
create these codebooks. If the codebook is created by an R script, the script
|
||||
and the codebook are named identically, e.g., `codebook_01.R` and
|
||||
`codebook_01.xslx`.
|
||||
|
||||
The `rawdata` folder contains the downloads from Qualtrics. In Qualtrics, the
|
||||
variables have been selected and ordered and then downloaded, without the
|
||||
additional columns Qualtrics adds by default. The naming convention for the
|
||||
downloaded files is
|
||||
```
|
||||
RDM_MS_SS2024_download_<YYYY-MM-DD>.<fileending>
|
||||
```
|
||||
No other files than the downloads from qualtrics should go into this folder!
|
||||
|
||||
The `results` folder contains processed data. The scripts in `/code/` process
|
||||
the data from `/rawdata/` and saves the files containing the processed data to
|
||||
`/results/`. Data can be exported as CSV files or RData files. If different file
|
||||
formats contain the same data, they should be named identically, e.g.,
|
||||
`data_rdm-ms-ss2024_cleaned.csv` and `data_rdm-ms-ss2024_cleaned.RData`.
|
||||
|
||||
78
03_data_organisation/example/code/01_preprocessing.R
Normal file
78
03_data_organisation/example/code/01_preprocessing.R
Normal file
@ -0,0 +1,78 @@
|
||||
# 01_preprocessing.R
|
||||
#
|
||||
# Cleaning up data for toy data set Methods Seminar SS2024
|
||||
#
|
||||
# Input: RDM_MS_SS2024_download_2024-06-07.csv
|
||||
# Output: results/data_rdm-ms-ss2024_cleaned.csv
|
||||
# results/data_rdm-ms-ss2024_cleaned.RData
|
||||
#
|
||||
# created: 2024-06-03
|
||||
|
||||
# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/teaching/iwm/data_management/03_data_organisation/example/")
|
||||
|
||||
dat <- read.table("data/rawdata/RDM_MS_SS2024_download_2024-06-07.csv",
|
||||
sep = ",", skip = 3, stringsAsFactors = TRUE, na.string = "")
|
||||
|
||||
names(dat) <-
|
||||
readLines("data/rawdata/RDM_MS_SS2024_download_2024-06-07.csv", 1) |>
|
||||
strsplit(split = ",") |>
|
||||
unlist()
|
||||
|
||||
# Clean up variables
|
||||
dat$ResponseId <- factor(dat$ResponseId)
|
||||
|
||||
dat$sex <- factor(dat$sex,
|
||||
levels = c("m", "f", "d", "not indicated"))
|
||||
|
||||
dat$data_sharing_1 <- factor(dat$data_sharing_1,
|
||||
levels = c("No", "Yes"))
|
||||
|
||||
dat$career_level_1 <- factor(dat$career_level_1,
|
||||
levels = c("Student", "PhD student", "Postdoc",
|
||||
"Senior researcher", "Professor",
|
||||
"Other"))
|
||||
|
||||
dat$rdm_stmnt_1 <- factor(dat$rdm_stmnt_1,
|
||||
levels = c("Strongly disagree", "Disagree",
|
||||
"Neither agree nor disagree", "Agree",
|
||||
"Strongly agree"))
|
||||
|
||||
dat$rdm_stmnt_2 <- factor(dat$rdm_stmnt_2,
|
||||
levels = c("Strongly disagree", "Disagree",
|
||||
"Neither agree nor disagree", "Agree",
|
||||
"Strongly agree"))
|
||||
|
||||
dat$rdm_stmnt_3 <- factor(dat$rdm_stmnt_3,
|
||||
levels = c("Strongly disagree", "Disagree",
|
||||
"Neither agree nor disagree", "Agree",
|
||||
"Strongly agree"))
|
||||
|
||||
dat$rdm_stmnt_4 <- factor(dat$rdm_stmnt_4,
|
||||
levels = c("Strongly disagree", "Disagree",
|
||||
"Neither agree nor disagree", "Agree",
|
||||
"Strongly agree"))
|
||||
|
||||
dat$rdm_stmnt_5 <- factor(dat$rdm_stmnt_5,
|
||||
levels = c("Strongly disagree", "Disagree",
|
||||
"Neither agree nor disagree", "Agree",
|
||||
"Strongly agree"))
|
||||
|
||||
## Fix data_sharing_2
|
||||
dat$data_sharing_2[dat$data_sharing_2 == "1 out of 4"] <- 1
|
||||
dat$data_sharing_2 <- as.numeric(dat$data_sharing_2)
|
||||
|
||||
# Create numeric statement variables
|
||||
|
||||
dat$rdm_stmnt_1 <- as.numeric(dat$rdm_stmnt_1)
|
||||
dat$rdm_stmnt_2 <- as.numeric(dat$rdm_stmnt_2)
|
||||
dat$rdm_stmnt_3 <- as.numeric(dat$rdm_stmnt_3)
|
||||
dat$rdm_stmnt_4 <- as.numeric(dat$rdm_stmnt_5)
|
||||
dat$rdm_stmnt_4 <- as.numeric(dat$rdm_stmnt_4)
|
||||
dat$rdm_stmnt_5 <- as.numeric(dat$rdm_stmnt_5)
|
||||
|
||||
# Save cleaned data set
|
||||
write.table(dat, file = "data/results/data_rdm-ms-ss2024_cleaned.csv", sep = ";",
|
||||
row.names = FALSE, quote = FALSE)
|
||||
|
||||
save(dat, file = "data/results/data_rdm-ms-ss2024_cleaned.RData")
|
||||
|
||||
BIN
03_data_organisation/example/data/codebook/RDM_MS_SS2024.docx
Normal file
BIN
03_data_organisation/example/data/codebook/RDM_MS_SS2024.docx
Normal file
Binary file not shown.
41
03_data_organisation/example/data/codebook/codebook_01.R
Normal file
41
03_data_organisation/example/data/codebook/codebook_01.R
Normal file
@ -0,0 +1,41 @@
|
||||
# codebook_generation_01.R
|
||||
#
|
||||
# Code generation example
|
||||
#
|
||||
# Input: results/data_rdm-ms-ss2024_cleaned.RData
|
||||
# Output:
|
||||
#
|
||||
# created: 2024-06-04
|
||||
|
||||
# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/teaching/iwm/data_management/03_data_organisation/example/")
|
||||
|
||||
load("data/results/data_rdm-ms-ss2024_cleaned.RData")
|
||||
|
||||
codebook <- data.frame(var_name = names(dat),
|
||||
var_text = c("Response Id", "Please indicate your sex.",
|
||||
"How old are you? Please enter your age in years.",
|
||||
"Have you ever published data in a repository?",
|
||||
"How many of your data sets have you published so far?",
|
||||
"All my analyses are preregistered",
|
||||
"Sharing my data is very important to me",
|
||||
"I invest more time in research data management than my colleagues",
|
||||
"I think research data management is overrated",
|
||||
"Sharing data is bad scientific practice",
|
||||
"What is your current career level?",
|
||||
"How long have you been working in science (in years)?")
|
||||
|
||||
)
|
||||
|
||||
codebook$type <- sapply(dat, class)
|
||||
codebook$n <- sapply(dat, length)
|
||||
codebook$mean <- sapply(dat, function(x) ifelse(is.numeric(x), mean(x, na.rm = TRUE), NA))
|
||||
codebook$sd <- sapply(dat, function(x) ifelse(is.numeric(x), sd(x), NA))
|
||||
|
||||
write.table(codebook,
|
||||
file = "data/codebook/codebook_01.csv",
|
||||
na = "",
|
||||
sep = ";",
|
||||
quote = FALSE)
|
||||
|
||||
openxlsx::write.xlsx(codebook, file = "data/codebook/codebook_01.xlsx")
|
||||
|
||||
13
03_data_organisation/example/data/codebook/codebook_01.csv
Normal file
13
03_data_organisation/example/data/codebook/codebook_01.csv
Normal file
@ -0,0 +1,13 @@
|
||||
var_name;var_text;type;n;mean;sd
|
||||
1;ResponseId;Response Id;factor;13;;
|
||||
2;age;Please indicate your sex.;integer;13;29.6923076923077;5.99144689515278
|
||||
3;sex;How old are you? Please enter your age in years.;factor;13;;
|
||||
4;data_sharing_1;Have you ever published data in a repository?;factor;13;;
|
||||
5;data_sharing_2;How many of your data sets have you published so far?;numeric;13;2.30769230769231;1.65250392761083
|
||||
6;rdm_stmnt_1;All my analyses are preregistered;numeric;13;4.15384615384615;1.14354374979373
|
||||
7;rdm_stmnt_2;Sharing my data is very important to me;numeric;13;4;
|
||||
8;rdm_stmnt_3;I invest more time in research data management than my colleagues;numeric;13;2.84615384615385;0.800640769025436
|
||||
9;rdm_stmnt_4;I think research data management is overrated;numeric;13;1.15384615384615;0.375533808099405
|
||||
10;rdm_stmnt_5;Sharing data is bad scientific practice;numeric;13;1.15384615384615;0.375533808099405
|
||||
11;career_level_1;What is your current career level?;factor;13;;
|
||||
12;career_level_2;How long have you been working in science (in years)?;numeric;13;6.26923076923077;10.1788493632126
|
||||
|
BIN
03_data_organisation/example/data/codebook/codebook_01.xlsx
Normal file
BIN
03_data_organisation/example/data/codebook/codebook_01.xlsx
Normal file
Binary file not shown.
68
03_data_organisation/example/data/codebook/codebook_02.R
Normal file
68
03_data_organisation/example/data/codebook/codebook_02.R
Normal file
@ -0,0 +1,68 @@
|
||||
# codebook_generation_01.R
|
||||
#
|
||||
# Code generation example
|
||||
#
|
||||
# Input: results/data_rdm-ms-ss2024_cleaned.RData
|
||||
# Output:
|
||||
#
|
||||
# created: 2024-06-04
|
||||
|
||||
# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/teaching/iwm/data_management/03_data_organisation/example/")
|
||||
|
||||
dat <- as.data.frame(haven::read_spss("data/rawdata/RDM_MS_SS2024_download_2024-06-04.sav"))
|
||||
|
||||
## Fix data_sharing_2
|
||||
dat$data_sharing_2[dat$data_sharing_2 == "1 out of 4"] <- 1
|
||||
|
||||
# Look at attributes
|
||||
attributes(dat$sex)
|
||||
|
||||
# Create codebook with survey questions
|
||||
codebook <- data.frame(variable = names(dat),
|
||||
label = sapply(dat, function(x) attr(x, "label")))
|
||||
|
||||
# Clean up data frame
|
||||
dat <- as.data.frame(lapply(dat, sjlabelled::unlabel))
|
||||
|
||||
sapply(dat, class) # Look at classes
|
||||
|
||||
dat$age <- as.numeric(dat$age)
|
||||
dat$career_level_2 <- as.numeric(dat$career_level_2)
|
||||
dat$data_sharing_2 <- as.numeric(dat$data_sharing_2)
|
||||
|
||||
dat$sex <- factor(dat$sex,
|
||||
levels = 1:4,
|
||||
labels = names(attr(dat$sex, "labels")))
|
||||
dat$data_sharing_1 <- factor(dat$data_sharing_1,
|
||||
levels = 1:2,
|
||||
labels = names(attr(dat$data_sharing_1, "labels")))
|
||||
dat$career_level_1 <- factor(dat$career_level_1,
|
||||
levels = 1:6,
|
||||
labels = names(attr(dat$career_level_1, "labels")))
|
||||
|
||||
# Add descriptive statistics to codebook
|
||||
|
||||
codebook$n <- sapply(dat, length)
|
||||
codebook$type <- sapply(dat, class)
|
||||
codebook$mean <- sapply(dat, function(x) ifelse(is.numeric(x), mean(x, na.rm = TRUE), NA))
|
||||
codebook$sd <- sapply(dat, function(x) ifelse(is.numeric(x), sd(x), NA))
|
||||
|
||||
# props <- function(x) {
|
||||
# if (is.factor(x)) {
|
||||
# proportions(summary(x))
|
||||
# } else {
|
||||
# NA
|
||||
# }
|
||||
# }
|
||||
#
|
||||
# codebook$prop <- lapply(dat, props)
|
||||
|
||||
write.table(codebook,
|
||||
file = "data/codebook/codebook_02.csv",
|
||||
na = "",
|
||||
sep = ";",
|
||||
quote = FALSE)
|
||||
|
||||
openxlsx::write.xlsx(codebook, file = "data/codebook/codebook_02.xlsx")
|
||||
|
||||
|
||||
13
03_data_organisation/example/data/codebook/codebook_02.csv
Normal file
13
03_data_organisation/example/data/codebook/codebook_02.csv
Normal file
@ -0,0 +1,13 @@
|
||||
variable;label;n;type;mean;sd
|
||||
ResponseId;ResponseId;Response ID;13;character;;
|
||||
age;age;How old are you? Please enter your age in years.;13;numeric;29.6923076923077;5.99144689515278
|
||||
sex;sex;Please indicate your sex.;13;factor;;
|
||||
data_sharing_1;data_sharing_1;Have you ever published data in a repository?;13;factor;;
|
||||
data_sharing_2;data_sharing_2;How many of your data sets have you published so far?;13;numeric;1.38461538461538;1.85015591858549
|
||||
rdm_stmnt_1;rdm_stmnt_1;Please indicate how much you agree with the following statements - All my analyses are preregistered;13;numeric;4.15384615384615;1.14354374979373
|
||||
rdm_stmnt_2;rdm_stmnt_2;Please indicate how much you agree with the following statements - Sharing my data is very important to me;13;numeric;4;
|
||||
rdm_stmnt_3;rdm_stmnt_3;Please indicate how much you agree with the following statements - I invest more time in research data management than my colleagues;13;numeric;2.84615384615385;0.800640769025436
|
||||
rdm_stmnt_4;rdm_stmnt_4;Please indicate how much you agree with the following statements - I think research data management is overrated;13;numeric;1.84615384615385;0.987096233585649
|
||||
rdm_stmnt_5;rdm_stmnt_5;Please indicate how much you agree with the following statements - Sharing data is bad scientific practice;13;numeric;1.15384615384615;0.375533808099405
|
||||
career_level_1;career_level_1;What is your current career level?;13;factor;;
|
||||
career_level_2;career_level_2;How long have you been working in science (in years)?;13;numeric;6.26923076923077;10.1788493632126
|
||||
|
BIN
03_data_organisation/example/data/codebook/codebook_02.xlsx
Normal file
BIN
03_data_organisation/example/data/codebook/codebook_02.xlsx
Normal file
Binary file not shown.
10
03_data_organisation/example/data/codebook/codebook_03.R
Normal file
10
03_data_organisation/example/data/codebook/codebook_03.R
Normal file
@ -0,0 +1,10 @@
|
||||
#' ---
|
||||
#' title: Codebook for Data Set "RDM MS SS 2024"
|
||||
#' author: Nora Wickelmaier
|
||||
#' ---
|
||||
|
||||
#+ echo = FALSE
|
||||
dat <- haven::read_spss("../rawdata/RDM_MS_SS2024_download_2024-06-04.sav")
|
||||
|
||||
codebook::codebook(dat)
|
||||
|
||||
@ -0,0 +1,94 @@
|
||||
###############################################################################
|
||||
This file contains an overview of the variables from a toy data set collected
|
||||
at the methods seminar SS 2024. The raw data contain in
|
||||
"RDM_MS_SS2024_download_2024-06-03_v1.csv" contain additional variables
|
||||
created by Qualtrics. The variables have been preprocessed and are stored in
|
||||
"data_rdm-ms-ss2024_cleaned.csv".
|
||||
###############################################################################
|
||||
|
||||
|
||||
ResponseId. <Qualtrics ID of subject>
|
||||
-------------------------------------------------------------------------------
|
||||
random sequence of numbers, letters, and underscore
|
||||
|
||||
|
||||
sex. Please indicate your sex.
|
||||
-------------------------------------------------------------------------------
|
||||
-1. m
|
||||
-2. f
|
||||
-3. d
|
||||
-4. not indicated
|
||||
|
||||
|
||||
age. How old are you? Please enter your age in years.
|
||||
-------------------------------------------------------------------------------
|
||||
numerical input
|
||||
|
||||
|
||||
data_sharing_1. Have you ever published data in a repository?
|
||||
-------------------------------------------------------------------------------
|
||||
-1. No
|
||||
-2. Yes
|
||||
|
||||
|
||||
data_sharing_2. How many of your data sets have you published so far?
|
||||
-------------------------------------------------------------------------------
|
||||
numerical input
|
||||
|
||||
|
||||
rdm_stmnt. Please indicate how much you agree with the following statements:
|
||||
|
||||
rdm_stmnt_1. All my analyses are preregistered
|
||||
-------------------------------------------------------------------------------
|
||||
-1. Strongly disagree
|
||||
-2. Disagree
|
||||
-3. Neither agree nor disagree
|
||||
-4. Agree
|
||||
-5. Strongly agree
|
||||
|
||||
rdm_stmnt_2. Sharing my data is very important to me
|
||||
-------------------------------------------------------------------------------
|
||||
-1. Strongly disagree
|
||||
-2. Disagree
|
||||
-3. Neither agree nor disagree
|
||||
-4. Agree
|
||||
-5. Strongly agree
|
||||
|
||||
rdm_stmnt_3. I invest more time in research data management than my colleagues
|
||||
-------------------------------------------------------------------------------
|
||||
-1. Strongly disagree
|
||||
-2. Disagree
|
||||
-3. Neither agree nor disagree
|
||||
-4. Agree
|
||||
-5. Strongly agree
|
||||
|
||||
rdm_stmnt_4. I think research data management is overrated
|
||||
-------------------------------------------------------------------------------
|
||||
-1. Strongly disagree
|
||||
-2. Disagree
|
||||
-3. Neither agree nor disagree
|
||||
-4. Agree
|
||||
-5. Strongly agree
|
||||
|
||||
rdm_stmnt_5. Sharing data is bad scientific practice
|
||||
-------------------------------------------------------------------------------
|
||||
-1. Strongly disagree
|
||||
-2. Disagree
|
||||
-3. Neither agree nor disagree
|
||||
-4. Agree
|
||||
-5. Strongly agree
|
||||
|
||||
|
||||
career_level_1. What is your current career level?
|
||||
-------------------------------------------------------------------------------
|
||||
-1. Student
|
||||
-2. PhD student
|
||||
-3. Postdoc
|
||||
-4. Senior researcher
|
||||
-5 Professor
|
||||
-6. Other
|
||||
|
||||
|
||||
career_level_2. How long have you been working in science (in years)?
|
||||
-------------------------------------------------------------------------------
|
||||
numerical input
|
||||
@ -0,0 +1,16 @@
|
||||
ResponseId,age,sex,data_sharing_1,data_sharing_2,rdm_stmnt_1,rdm_stmnt_2,rdm_stmnt_3,rdm_stmnt_4,rdm_stmnt_5,career_level_1,career_level_2
|
||||
Response ID,How old are you? Please enter your age in years.,Please indicate your sex.,Have you ever published data in a repository?,How many of your data sets have you published so far?,Please indicate how much you agree with the following statements - All my analyses are preregistered,Please indicate how much you agree with the following statements - Sharing my data is very important to me,Please indicate how much you agree with the following statements - I invest more time in research data management than my colleagues,Please indicate how much you agree with the following statements - I think research data management is overrated,Please indicate how much you agree with the following statements - Sharing data is bad scientific practice,What is your current career level?,How long have you been working in science (in years)?
|
||||
"{""ImportId"":""_recordId""}","{""ImportId"":""QID3_TEXT""}","{""ImportId"":""QID1""}","{""ImportId"":""QID4""}","{""ImportId"":""QID7_TEXT""}","{""ImportId"":""QID2_1""}","{""ImportId"":""QID2_2""}","{""ImportId"":""QID2_3""}","{""ImportId"":""QID2_4""}","{""ImportId"":""QID2_5""}","{""ImportId"":""QID8""}","{""ImportId"":""QID9_TEXT""}"
|
||||
R_8q7OpSkcuPT7SbI,42,f,No,1,Neither agree nor disagree,Agree,Strongly agree,Strongly disagree,Strongly disagree,Other,14
|
||||
R_8Io4pbk0A1a37VL,28,f,Yes,1,Strongly agree,,Neither agree nor disagree,Disagree,Strongly disagree,PhD student,1
|
||||
R_2J9B4aLaasQ1m81,28,f,Yes,1 out of 4,Strongly agree,Strongly agree,Disagree,Disagree,Strongly disagree,PhD student,3
|
||||
R_80kqWr3W48SgiUZ,43,f,Yes,6,Agree,Agree,Neither agree nor disagree,Disagree,Strongly disagree,PhD student,3
|
||||
R_8QpI8T0rjTjaPPr,30,f,Yes,4,Strongly agree,Agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,5
|
||||
R_8QoVv6THz1Qjtuz,28,f,Yes,1,Disagree,Disagree,Disagree,Agree,Strongly disagree,Professor,38
|
||||
R_2F9fXxf3NedHqZl,25,d,No,0,Agree,Strongly agree,Disagree,Neither agree nor disagree,Disagree,PhD student,2
|
||||
R_2foYj4iSgaBTkEO,24,f,No,0,Strongly agree,Strongly agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,1
|
||||
R_83T6Oak5vI6GNJ7,30,f,Yes,1,Strongly agree,Agree,Neither agree nor disagree,Neither agree nor disagree,Strongly disagree,Postdoc,7
|
||||
R_2Vz26rWsOLYwqnD,25,m,Yes,3,Agree,Agree,Neither agree nor disagree,Disagree,Disagree,PhD student,2
|
||||
R_8HcBgUUm1BXFfhv,29,m,No,0,Strongly agree,Disagree,Disagree,Strongly disagree,Strongly disagree,PhD student,3
|
||||
R_2P1TMDNlwm0gSIk,26,f,No,0,Disagree,Agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,1.5
|
||||
R_225ffqhb7qRaIGO,28,f,No,0,Strongly agree,Strongly agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,1
|
||||
|
Binary file not shown.
@ -0,0 +1,66 @@
|
||||
* Encoding: UTF-8.
|
||||
TITLE "RDM_MS_SS2024".
|
||||
SUBTITLE "".
|
||||
VARIABLE LABELS
|
||||
ResponseId "Response ID"
|
||||
age "How old are you? Please enter your age in years."
|
||||
sex "Please indicate your sex."
|
||||
data_sharing_1 "Have you ever published data in a repository?"
|
||||
data_sharing_2 "How many of your data sets have you published so far?"
|
||||
rdm_stmnt_1 "Please indicate how much you agree with the following statements - All my analyses are preregistered"
|
||||
rdm_stmnt_2 "Please indicate how much you agree with the following statements - Sharing my data is very important to me"
|
||||
rdm_stmnt_3 "Please indicate how much you agree with the following statements - I invest more time in research data management than my colleagues"
|
||||
rdm_stmnt_4 "Please indicate how much you agree with the following statements - I think research data management is overrated"
|
||||
rdm_stmnt_5 "Please indicate how much you agree with the following statements - Sharing data is bad scientific practice"
|
||||
career_level_1 "What is your current career level?"
|
||||
career_level_2 "How long have you been working in science (in years)?"
|
||||
.
|
||||
VALUE LABELS
|
||||
/sex
|
||||
1 "m"
|
||||
2 "f"
|
||||
3 "d"
|
||||
4 "not indicated"
|
||||
/data_sharing_1
|
||||
1 "No"
|
||||
2 "Yes"
|
||||
/rdm_stmnt_1
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/rdm_stmnt_2
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/rdm_stmnt_3
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/rdm_stmnt_4
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/rdm_stmnt_5
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/career_level_1
|
||||
1 "Student"
|
||||
2 "PhD student"
|
||||
3 "Postdoc"
|
||||
4 "Senior researcher"
|
||||
5 "Professor"
|
||||
6 "Other"
|
||||
.
|
||||
CACHE.
|
||||
EXECUTE.
|
||||
@ -0,0 +1,17 @@
|
||||
ResponseId,age,sex,data_sharing_1,data_sharing_2,rdm_stmnt_1,rdm_stmnt_2,rdm_stmnt_3,rdm_stmnt_4,rdm_stmnt_5,career_level_1,career_level_2
|
||||
Response ID,How old are you? Please enter your age in years.,Please indicate your sex.,Have you ever published data in a repository?,How many of your data sets have you published so far?,Please indicate how much you agree with the following statements - All my analyses are preregistered,Please indicate how much you agree with the following statements - Sharing my data is very important to me,Please indicate how much you agree with the following statements - I invest more time in research data management than my colleagues,Please indicate how much you agree with the following statements - I think research data management is overrated,Please indicate how much you agree with the following statements - Sharing data is bad scientific practice,What is your current career level?,How long have you been working in science (in years)?
|
||||
"{""ImportId"":""_recordId""}","{""ImportId"":""QID3_TEXT""}","{""ImportId"":""QID1""}","{""ImportId"":""QID4""}","{""ImportId"":""QID7_TEXT""}","{""ImportId"":""QID2_1""}","{""ImportId"":""QID2_2""}","{""ImportId"":""QID2_3""}","{""ImportId"":""QID2_4""}","{""ImportId"":""QID2_5""}","{""ImportId"":""QID8""}","{""ImportId"":""QID9_TEXT""}"
|
||||
R_8q7OpSkcuPT7SbI,42,f,No,1,Neither agree nor disagree,Agree,Strongly agree,Strongly disagree,Strongly disagree,Other,14
|
||||
R_8Io4pbk0A1a37VL,28,f,Yes,1,Strongly agree,,Neither agree nor disagree,Disagree,Strongly disagree,PhD student,1
|
||||
R_2J9B4aLaasQ1m81,28,f,Yes,1 out of 4,Strongly agree,Strongly agree,Disagree,Disagree,Strongly disagree,PhD student,3
|
||||
R_80kqWr3W48SgiUZ,43,f,Yes,6,Agree,Agree,Neither agree nor disagree,Disagree,Strongly disagree,PhD student,3
|
||||
R_8QpI8T0rjTjaPPr,30,f,Yes,4,Strongly agree,Agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,5
|
||||
R_8QoVv6THz1Qjtuz,28,f,Yes,1,Disagree,Disagree,Disagree,Agree,Strongly disagree,Professor,38
|
||||
R_2F9fXxf3NedHqZl,25,d,No,0,Agree,Strongly agree,Disagree,Neither agree nor disagree,Disagree,PhD student,2
|
||||
R_2foYj4iSgaBTkEO,24,f,No,0,Strongly agree,Strongly agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,1
|
||||
R_83T6Oak5vI6GNJ7,30,f,Yes,1,Strongly agree,Agree,Neither agree nor disagree,Neither agree nor disagree,Strongly disagree,Postdoc,7
|
||||
R_2Vz26rWsOLYwqnD,25,m,Yes,3,Agree,Agree,Neither agree nor disagree,Disagree,Disagree,PhD student,2
|
||||
R_8HcBgUUm1BXFfhv,29,m,No,0,Strongly agree,Disagree,Disagree,Strongly disagree,Strongly disagree,PhD student,3
|
||||
R_2P1TMDNlwm0gSIk,26,f,No,0,Disagree,Agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,1.5
|
||||
R_225ffqhb7qRaIGO,28,f,No,0,Strongly agree,Strongly agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,1
|
||||
R_2pXfOSq8DBImG6R,32,f,No,0,Neither agree nor disagree,Agree,Neither agree nor disagree,Strongly disagree,Strongly disagree,PhD student,2
|
||||
|
Binary file not shown.
@ -0,0 +1,66 @@
|
||||
* Encoding: UTF-8.
|
||||
TITLE "RDM_MS_SS2024".
|
||||
SUBTITLE "".
|
||||
VARIABLE LABELS
|
||||
ResponseId "Response ID"
|
||||
age "How old are you? Please enter your age in years."
|
||||
sex "Please indicate your sex."
|
||||
data_sharing_1 "Have you ever published data in a repository?"
|
||||
data_sharing_2 "How many of your data sets have you published so far?"
|
||||
rdm_stmnt_1 "Please indicate how much you agree with the following statements - All my analyses are preregistered"
|
||||
rdm_stmnt_2 "Please indicate how much you agree with the following statements - Sharing my data is very important to me"
|
||||
rdm_stmnt_3 "Please indicate how much you agree with the following statements - I invest more time in research data management than my colleagues"
|
||||
rdm_stmnt_4 "Please indicate how much you agree with the following statements - I think research data management is overrated"
|
||||
rdm_stmnt_5 "Please indicate how much you agree with the following statements - Sharing data is bad scientific practice"
|
||||
career_level_1 "What is your current career level?"
|
||||
career_level_2 "How long have you been working in science (in years)?"
|
||||
.
|
||||
VALUE LABELS
|
||||
/sex
|
||||
1 "m"
|
||||
2 "f"
|
||||
3 "d"
|
||||
4 "not indicated"
|
||||
/data_sharing_1
|
||||
1 "No"
|
||||
2 "Yes"
|
||||
/rdm_stmnt_1
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/rdm_stmnt_2
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/rdm_stmnt_3
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/rdm_stmnt_4
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/rdm_stmnt_5
|
||||
1 "Strongly disagree"
|
||||
2 "Disagree"
|
||||
3 "Neither agree nor disagree"
|
||||
4 "Agree"
|
||||
5 "Strongly agree"
|
||||
/career_level_1
|
||||
1 "Student"
|
||||
2 "PhD student"
|
||||
3 "Postdoc"
|
||||
4 "Senior researcher"
|
||||
5 "Professor"
|
||||
6 "Other"
|
||||
.
|
||||
CACHE.
|
||||
EXECUTE.
|
||||
Binary file not shown.
@ -0,0 +1,15 @@
|
||||
ResponseId;age;sex;data_sharing_1;data_sharing_2;rdm_stmnt_1;rdm_stmnt_2;rdm_stmnt_3;rdm_stmnt_4;rdm_stmnt_5;career_level_1;career_level_2
|
||||
R_8q7OpSkcuPT7SbI;42;f;No;2;3;4;5;1;1;Other;14
|
||||
R_8Io4pbk0A1a37VL;28;f;Yes;2;5;NA;3;1;1;PhD student;1
|
||||
R_2J9B4aLaasQ1m81;28;f;Yes;2;5;5;2;1;1;PhD student;3
|
||||
R_80kqWr3W48SgiUZ;43;f;Yes;6;4;4;3;1;1;PhD student;3
|
||||
R_8QpI8T0rjTjaPPr;30;f;Yes;5;5;4;3;1;1;PhD student;5
|
||||
R_8QoVv6THz1Qjtuz;28;f;Yes;2;2;2;2;1;1;Professor;38
|
||||
R_2F9fXxf3NedHqZl;25;d;No;1;4;5;2;2;2;PhD student;2
|
||||
R_2foYj4iSgaBTkEO;24;f;No;1;5;5;3;1;1;PhD student;1
|
||||
R_83T6Oak5vI6GNJ7;30;f;Yes;2;5;4;3;1;1;Postdoc;7
|
||||
R_2Vz26rWsOLYwqnD;25;m;Yes;4;4;4;3;2;2;PhD student;2
|
||||
R_8HcBgUUm1BXFfhv;29;m;No;1;5;2;2;1;1;PhD student;3
|
||||
R_2P1TMDNlwm0gSIk;26;f;No;1;2;4;3;1;1;PhD student;1.5
|
||||
R_225ffqhb7qRaIGO;28;f;No;1;5;5;3;1;1;PhD student;1
|
||||
R_2pXfOSq8DBImG6R;32;f;No;1;3;4;3;1;1;PhD student;2
|
||||
|
BIN
figures/QR Code for Methodenseminar SS 2024 - Session 3.png
Normal file
BIN
figures/QR Code for Methodenseminar SS 2024 - Session 3.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 5.5 KiB |
BIN
figures/codebook_1.png
Normal file
BIN
figures/codebook_1.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 47 KiB |
BIN
figures/codebook_2.png
Normal file
BIN
figures/codebook_2.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 35 KiB |
BIN
figures/email_data_request_2024_03.png
Normal file
BIN
figures/email_data_request_2024_03.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 63 KiB |
BIN
figures/email_data_request_2024_04.png
Normal file
BIN
figures/email_data_request_2024_04.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 24 KiB |
Loading…
x
Reference in New Issue
Block a user