Slides for fourth session
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@ -28,7 +28,7 @@ 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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The `codebook` folder 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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\documentclass[aspectratio=169]{beamer}
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\usepackage{listings}
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%\usepackage[utf8]{inputenc}
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\usepackage[style = apa, backend = biber, natbib = true]{biblatex}
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\addbibresource{../literature/lit.bib}
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\usepackage{fancyvrb}
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\usepackage{fontawesome5} % get icons
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\usepackage{multirow}
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\usepackage{color, colortbl}
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\usepackage{tikz}
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\usetikzlibrary{fit}
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\usepackage[edges]{forest}
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\lstset{language=R,%
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backgroundcolor=\color{iwmgray!15!white},
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basewidth={.5em, .4em},
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showstringspaces=false,
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emphstyle=\color{red!50!white}}
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\makeatletter \def\newblock{\beamer@newblock} \makeatother
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% Definitions for biblatex
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\newcommand{\gvect}[1]{\boldsymbol{#1}}
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\newcommand{\gmat}[1]{\boldsymbol{#1}}
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\AtBeginSection[]{
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\frame{
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\tableofcontents[sectionstyle=show/hide, subsectionstyle=show/show/hide]}}
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\setbeamertemplate{headline}{
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\begin{beamercolorbox}{section in head}
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}
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\setbeamertemplate{footline}{\vskip-2pt\hfill\insertframenumber$\;$\vskip2pt}
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\title{Data sharing}
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\author{Nora Wickelmaier}
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\date{June 24, 2024}
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\begin{document}
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\begin{frame}{}
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\thispagestyle{empty}
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\titlepage
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\end{frame}
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\begin{frame}{What are the benefits of sharing your data?}
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% slido
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\centering
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\includegraphics[width = 5cm]{../figures/QR Code for Methodenseminar SS 2024 - Session 4}
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\url{https://app.sli.do/event/m5FEcBYkqtVAsjkdTsKsmd}
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\end{frame}
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\begin{frame}[<+->]{Benefits of sharing data}
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Sharing data
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\begin{itemize}
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\item[\dots] ensures that data are not ultimately lost (save data for posterity)
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\item[\dots] is consistent with scientific norms of openness and rigor
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\item[\dots] increases citation scores of papers
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\item[\dots] encourages more research because it enables secondary analyses
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\item[\dots] facilitates subsequent reanalyses (correct errors, emphasize
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robustness of original results)
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\item[\dots] is demanded by most third party funding agencies
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\end{itemize}
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\vfill
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\hfill\tiny \citet{Wicherts2012}
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\end{frame}
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\begin{frame}{Agenda}
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\centering
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\begin{tabular}{ll}
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\hline
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Date & Topic \\
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\hline
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2024-05-13 & Introduction to data management \\
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2024-05-27 & Workflow \\
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2024-06-10 & Data organisation\\
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\only<1>{2024-06-24}\only<2>{\bf 2024-06-24} & \only<1>{Data sharing}\only<2>{\bf Data sharing} \\
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2024-07-08 & Clean coding \\
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2024-07-22 & Version control \\
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\hline
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\end{tabular}
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\end{frame}
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% uploading under a license (CC-BY....)
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% loading data on an archive, repository etc...
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% Doing the archive
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% mportant things before the open-access data
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% Where to store data for long-term accessibility (conventions?)
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% Tools, where I should upload my final data
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% Upload data before or after publishing a paper? Time mangement
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\section{Data organisation}
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\begin{frame}[<+->]{What we covered so far}
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\begin{itemize}
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\item What habits do we need for effective research data management?
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\item What is a workflow and why do we need one?
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\item What needs to be considered when naming files of a research project?
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\item How to organize folders for a research project?
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\item What metadata should be added to my research project?
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\item What are good ways to document a data set?
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\end{itemize}
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\end{frame}
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\begin{frame}{Examples for documenting data sets}
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\begin{enumerate}
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\item A recent paper with published data by \citet{Ngo2023} investigating
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what cues are considered by Twitter users to identify social bots
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\item A multi-cohort, longitudinal study by the Hector Research Institute of
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Education Sciences and Psychology at the university of Tübingen:
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Transformation of the secondary school system and academic careers
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\citep[TOSCA,][]{Koeller2004}
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\item Editorial on why to publish your data with an accompanying data set
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by \citet{Wicherts2012}
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\end{enumerate}
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\vfill
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\end{frame}
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\begin{frame}{\citet{Ngo2023}}
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They provide
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\begin{itemize}
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\item A data set with 221 observations and 633 variables
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\item A PDF with all measures and the scenario used for collecting the data
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\end{itemize}
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\vspace{.3cm}
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\begin{block}{Exercise}
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\begin{itemize}
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\item Go to \url{https://osf.io/6y3nk/} and download the files
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\texttt{data.csv} and
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\texttt{Experimental-Study-Measures and scenario.pdf}
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\item Read the data into R using \texttt{read.csv()}
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\item Find out which variables in the data correspond to measure
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``(9)~Demographics''
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\end{itemize}
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\end{block}
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\vspace{.3cm}
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\pause
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(BTW: Sharing the data in this form is better than \emph{not} sharing them,
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in my opinion)
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\end{frame}
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\begin{frame}{What additional information do we need to use these data?}
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% slido
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\centering
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\includegraphics[width = 5cm]{../figures/QR Code for Methodenseminar SS 2024 - Session 4}
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\url{https://app.sli.do/event/m5FEcBYkqtVAsjkdTsKsmd}
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\end{frame}
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\begin{frame}{TOSCA}
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\begin{itemize}
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\item Multi-cohort study that includes longitudinal data for several cohorts
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\item Broad spectrum of achievement test data and psycho-social variables
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\item Large number of publications on different topics using these data
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\item This is not the original data set, but a prepared version for teaching
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statistics (hence, proportions in the data and the codebook are not
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identical)
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\end{itemize}
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\begin{block}{Exercise}
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\begin{itemize}
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\item Read the data set \texttt{TOSCAtoTeach\_W123.sav} into R using
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\texttt{foreign::read.spss()} or \texttt{haven::read\_spss()}
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\item Create contingency tables for the variables \texttt{sform} and
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\texttt{szweig1} and compare the results to the codebook
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\texttt{Skalenhandbuch\_TOSCAtoTeachW123.pdf}
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\end{itemize}
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\end{block}
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\hfill{\tiny \url{https://uni-tuebingen.de/en/faculties/faculty-of-economics-and-social-sciences/subjects/department-of-social-sciences/education-sciences-and-psychology/research/current-studies/tosca}}
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\end{frame}
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\begin{frame}{\citet{Wicherts2012}}
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They provide
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\begin{itemize}
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\item A data set with 537 observations and 79 variables
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(\texttt{1-s2.0-S0160289612000050-mmc2.xls})
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\item A codebook with variable names and some descriptive statistics for
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the scales (\texttt{1-s2.0-S0160289612000050-mmc1.doc})
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\item ``Publish (your data) or (let the data) perish! Why not publish your
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data too?''
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\item Data come from freshman-testing program called ``Testweek''
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\item (Try \texttt{readxl::read\_excel()} to read the data into R)
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\end{itemize}
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\vfill
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\end{frame}
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\begin{frame}{What is the single one thing that would make sharing these data
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indefinitely better?}
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% slido
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\centering
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\includegraphics[width = 5cm]{../figures/QR Code for Methodenseminar SS 2024 - Session 4}
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\url{https://app.sli.do/event/m5FEcBYkqtVAsjkdTsKsmd}
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\end{frame}
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\begin{frame}[<+->]{Non-anonymous data}
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\begin{itemize}
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\item Before putting data into any cloud, you should always take a moment to
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reflect if your data are anonymous
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\item No (third-party) cloud storage, even if it is not publicly accessible
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\item If your data contains personal data, it should always be stored
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locally, ideally on an encrypted device
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\item You should have a plan --- bofore ever collecting the data --- how,
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when, and by whom the data will be anonymized
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\item All data should eventually be anonymized! (Yes, even audio and video
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data)
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\item IWM servers can be considered local
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\end{itemize}
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\end{frame}
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\section[Collaborative use]{Sharing data for collaborative use}
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\begin{frame}[<+->]{Working together with the same data}
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\begin{itemize}
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\item Part of data organisation is to think about who needs access to
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your data
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\item Often these are colleagues from the same lab and there is
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infrastructure to share files and scripts easily
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\item The IWM offers several solutions for sharing your data (internally and
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externally)
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\item When the end goal is to make the data public, it might be a good idea
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to work together at a place where the data can go public at a certain
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point in time
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\item We will look at two possiblities: OSF and Github
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\end{itemize}
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\vfill
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\end{frame}
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\begin{frame}{IWM solutions}
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IWM servers
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\begin{itemize}
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\item Nextcloud: \url{https://nextcloud.iwm-tuebingen.de/}
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\item Gitea: \url{https://gitea.iwm-tuebingen.de/}
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\item Shared drive: \texttt{Y:/}
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\end{itemize}
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\vspace{.4cm}
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Microsoft servers
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\begin{itemize}
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\item OneDrive
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\item Teams
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\end{itemize}
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\vfill
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\pause
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(Maybe check out the two tips of the week on this topic:
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{\tiny
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\url{https://iwmonline.sharepoint.com/sites/intranet/SitePages/direktorat/en/Interne-Kommunikation.aspx\#tip-of-the-week-tutorial-series}})
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\end{frame}
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\begin{frame}{Open Science Framework}
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{\url{https://osf.io/}}
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\begin{columns}
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\begin{column}{.4\textwidth}
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\begin{itemize}
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\item ``OSF is a free and open source project management tool that supports
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researchers throughout their entire project lifecycle.''
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\item Founded in 2012 and constantly developed: \url{https://www.cos.io/timeline}
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\item Meant to integrate all research steps
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\end{itemize}
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\end{column}
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\begin{column}{.7\textwidth}
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\includegraphics[scale = .2]{../figures/osf_workflow.png}
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\end{column}
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\end{columns}
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\end{frame}
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\begin{frame}[fragile]{Let's try it out}
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\begin{tikzpicture}[
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every node/.style = {text width = 5.1cm, align = left},
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every path/.style = {thick, draw}
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]
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\node (ex) at (0, 0) {\faIcon{folder} \verb+toyexample+};
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\node (n1) at (5, 0) {\faIcon{folder} \verb+code+};
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\node (n2) at (5, -1.4) {\faIcon{folder} \verb+data+};
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\node (n3) at (5, -2.8) {\faIcon[regular]{file} \verb+README.md+};
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\path (ex.center) -- (n1.west);
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\path (ex.center) -- (n2.west);
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\path (ex.center) -- (n3.west);
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\node (o1a) at (10, 0) {\faIcon[regular]{file} \verb+01_preprocessing.R+};
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\node (o1b) at (10, -0.7) {\faIcon[regular]{file} \verb+02_descriptives.R+};
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\node (o2) at (10, -1.4) {\faIcon{folder} \verb+processed+};
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\node (o3) at (10, -2.1) {\faIcon{folder} \verb+rawdata+};
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\node (o4) at (10, -2.8) {\faIcon[regular]{file} \verb+codebook.pdf+};
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\path (n1.center) -- (o1a.west);
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\path (n1.center) -- (o1b.west);
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\path (n2.center) -- (o2.west);
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\path (n2.center) -- (o3.west);
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\path (n2.center) -- (o4.west);
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\end{tikzpicture}
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Steps
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\begin{enumerate}
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\item You need an OSF account -- just sign up with an e-mail address or use ORCID
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\item Sign in
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\item Create a project
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\item Upload (or link) your files
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\item Invite contributors
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\end{enumerate}
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\end{frame}
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% TODO:
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% Show different cases on OSF:
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% 1. OSF with handmade codebook, all in one folder
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% 2. OSF with different components (show that they can all have different
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% licenses)
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% 3. OSF with Github integrated
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% Show selection of servers (GDPR)
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\begin{frame}{Licenses}
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\begin{columns}
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\begin{column}{.3\textwidth}
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\includegraphics[scale = .4]{../figures/licenses_osf.png}
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\end{column}
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\begin{column}{.7\textwidth}
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\begin{itemize}
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\item OSF offers you several options for licenses
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\item For data the Creative Common (CC) licenses are usually a good option
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\item For software, other options might be better suited
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\item For code (e.\,g., analysis scripts) CC licenses are also a good
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choice
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\end{itemize}
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\vspace{1cm}
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\hfill{\footnotesize \url{https://creativecommons.org/}}\\
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\hfill{\footnotesize \url{https://help.osf.io/article/288-license-your-project}}\\
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\hfill{\footnotesize \url{https://choosealicense.com/}}
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\end{column}
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\end{columns}
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\end{frame}
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\begin{frame}{Github}
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{\url{https://github.com/}}
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\begin{columns}
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\begin{column}{.8\textwidth}
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\begin{itemize}
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\item Developer platform that allows developers to create, store, manage and
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share code
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\item Based on Git software providing version control
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\begin{itemize}
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\item[+] access control
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\item[+] bug tracking
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\item[+] software feature requests
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\item[+] task management
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\item[+] continuous integration
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\item[+] wikis
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\end{itemize}
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\item Commonly used to host open source software development projects
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\item Bought by Microsoft in 2018
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\end{itemize}
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\end{column}
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\begin{column}{.3\textwidth}
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\includegraphics[scale = .2]{../figures/github.png}
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\end{column}
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\end{columns}
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\end{frame}
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\begin{frame}{Github workflow}
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\begin{center}
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\includegraphics[scale = .3]{../figures/workflow_git-github.png}
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\end{center}
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\hfill{\tiny \url{https://carpentries-incubator.github.io/open-science-with-r/09-collaborating}}
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\end{frame}
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% TODO:
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% READMEs:
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% https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-readmes
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\section[Repositories]{Sharing data in repositories}
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\begin{frame}{Data repositories}
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National
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\begin{itemize}
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\item \url{https://www.psycharchives.org/}
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\item \url{https://www.forschungsdaten-bildung.de/}
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\item \url{https://datorium.gesis.org/}
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\item \url{https://www.iqb.hu-berlin.de/fdz}
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\end{itemize}
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\vspace{.4cm}
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International
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\begin{itemize}
|
||||
\item \url{https://datadryad.org/}
|
||||
\item \url{https://osf.io/}
|
||||
\item \url{https://zenodo.org/}
|
||||
\end{itemize}
|
||||
\vfill
|
||||
|
||||
\hfill{\footnotesize \url{https://datamanagement.hms.harvard.edu/share-publish/data-repositories}}
|
||||
\end{frame}
|
||||
|
||||
\appendix
|
||||
%%\begin{frame}[allowframebreaks]{References}
|
||||
\begin{frame}{References}
|
||||
%\renewcommand{\bibfont}{\small}
|
||||
\printbibliography
|
||||
\vfill
|
||||
\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}
|
||||
|
||||
\end{document}
|
||||
|
||||
|
|
@ -20,6 +20,10 @@ Frazier, M. R., O'Hara, C. C., Jiang, N., & Halpern, B. S. (2017). Our path
|
|||
to better science in less time using open data science tools. _Nature
|
||||
Ecology & Evolution, 1_(6), 1-7. https://doi.org/10.1038/s41559-017-0160
|
||||
|
||||
Wicherts, J. M., & Bakker, M. (2012).Publish (your data) or (let the data)
|
||||
perish! Why not publish your data too? _Intelligence, 40_(2), 73–76.
|
||||
https://doi.org/10.1016/j.intell.2012.01.004
|
||||
|
||||
Wilbrandt, J. (2023). Research Data Management Intro Series: Coffee Lectures &
|
||||
Espresso Shots. https://doi.org/10.5281/zenodo.7573695
|
||||
|
||||
|
|
|
|||
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|
|
@ -8,6 +8,14 @@
|
|||
doi = {10.1525/collabra.18684}
|
||||
}
|
||||
|
||||
@book{Koeller2004,
|
||||
title = {Wege zur {H}ochschulreife in {B}aden-{W}{\"u}rttemberg: {TOSCA} -- {E}ine {U}ntersuchung an allgemein bildenden und beruflichen {G}ymnasien},
|
||||
author = {K{\"o}ller, Olaf and Watermann, Ralf and Trautwein, Ulrich and L{\"u}dtke, Oliver},
|
||||
year = {2004},
|
||||
publisher = {Springer},
|
||||
doi = {10.1007/978-3-322-80906-3}
|
||||
}
|
||||
|
||||
@article{Lowndes2017,
|
||||
title = {Our path to better science in less time using open data science tools},
|
||||
author = {Lowndes, Julia S Stewart and Best, Benjamin D and Scarborough, Courtney and Afflerbach, Jamie C and Frazier, Melanie R and O'Hara, Casey C and Jiang, Ning and Halpern, Benjamin S},
|
||||
|
|
@ -30,6 +38,29 @@
|
|||
doi = {10.1177/2515245917747656}
|
||||
}
|
||||
|
||||
@article{Ngo2023,
|
||||
title = {Spot the bot: Investigating user's detection cues for social bots and their willingness to verify Twitter profiles},
|
||||
journal = {Computers in Human Behavior},
|
||||
volume = {146},
|
||||
pages = {107819},
|
||||
year = {2023},
|
||||
issn = {0747-5632},
|
||||
doi = {https://doi.org/10.1016/j.chb.2023.107819},
|
||||
url = {https://www.sciencedirect.com/science/article/pii/S074756322300170X},
|
||||
author = {Thao Ngo and Magdalena Wischnewski and Rebecca Bernemann and Martin Jansen and Nicole Kr{\"a}mer}
|
||||
}
|
||||
|
||||
@article{Wicherts2012,
|
||||
title = {Publish (your data) or (let the data) perish! {W}hy not publish your data too?},
|
||||
author = {Wicherts, Jelte M and Bakker, Marjan},
|
||||
journal = {Intelligence},
|
||||
volume = {40},
|
||||
number = {2},
|
||||
pages = {73--76},
|
||||
year = {2012},
|
||||
doi = {10.1016/j.intell.2012.01.004}
|
||||
}
|
||||
|
||||
@misc{Wilbrandt2023,
|
||||
author = {Wilbrandt, Jeanne},
|
||||
title = {{Research Data Management Intro Series: Coffee Lectures \& Espresso Shots}},
|
||||
|
|
|
|||
Loading…
Reference in New Issue