01_intro/surveys/barriers.txt

@@ -1,21 +0,0 @@
-Remember the strategy used over time
-never gets perfected
-too many people in one project
-procrastination
-its not fun
-don't know the best tools for it
-expectation of presenting results fast (time)
-never having thought of it
-Fear of missing something
-Keeping multiple copies consistent
-When should I do this task?
-Other Priorities
-no idea where to start
-complex research design
-Defining a good concept from the beginning on
-Lack of planning
-boring task
-too much other work
-public security
-forget it
-bad time management

01_intro/surveys/habits.txt

@@ -1,32 +0,0 @@
-discipline
-uploading under a license (CC-BY....)
-report changes to dataset
-Do not do it in your spare time?
-Brainpower
-pseudonymizing/anonymizing data
-Trink about file names
-regular cleaning 😊
-codebook
-loading data on an archive, repository etc...
-Special time slot in calendar
-avoid redundancy
-readme
-clarity
-consistency
-Doing the archive
-report deviations from preregistration
-Read-Me
-checklists
-clear workflow
-have one place where you store the data
-Document data collection in Details
-Document yout code
-Documentation
-preregistration
-Structure Structure Structure
-recording the steps (taken through analysis)
-Be consistent
-github documentation
-consitency
-Reproducible code
-Time Investment 😄

01_intro/surveys/surveys.R

@@ -1,72 +0,0 @@
-#' --- 
-#' title: Analysis of slido surveys
-#' author: Nora Wickelmaier
-#' --- 
-
-#+ include = FALSE
-# setwd("C:/Users/nwickelmaier/Nextcloud/Documents/teaching/iwm/data_management/01_intro/surveys")
-
-#' # Habits
-
-q1 <- trimws(readLines("habits.txt"))
-
-habits <- data.frame(q1,
-                     habit = c("workflow", "data sharing",
-                               "documentation", "workflow", "workflow",
-                               "data organisation", "workflow",
-                               "workflow", "documentation",
-                               "data sharing", "workflow", "data organisation",
-                               "documentation", "workflow", "workflow",
-                               "data sharing", "documentation",
-                               "documentation", "workflow", "workflow",
-                               "data organisation", "documentation",
-                               "documentation", "documentation",
-                               "documentation", "workflow",
-                               "documentation", "workflow",
-                               "documentation", "workflow", "workflow",
-                               "workflow"))
-
-table(habits$habit)
-
-habits[order(habits$habit),]
-
-#print(xtable::xtable(habits[order(habits$habit),]), include.rownames = FALSE)
-
-#' # Barriers
-
-q2 <- trimws(readLines("barriers.txt"))
-
-barriers <- data.frame(q2,
-                       barrier = c("lack of consistency", "perfectionism",
-                                   "responsibility diffusion", "low priority",
-                                   "low priority", "lack of skills",
-                                   "lack of time", "low priority",
-                                   "perfectionism", "lack of consistency",
-                                   "lack of time", "low priority",
-                                   "lack of skills", "lack of skills",
-                                   "perfectionism", "lack of time",
-                                   "low priority", "lack of time",
-                                   "lack of skills", "low priority",
-                                   "low priority"))
-
-table(barriers$barrier)
-
-barriers[order(barriers$barrier),]
-
-#' # Topics
-
-q3 <- trimws(readLines("topics.txt"))
-
-topics <- data.frame(q3,
-                     topic = c("data sharing", "workflow",
-                               "clean coding", "data organisation",
-                               "workflow", "workflow", "workflow",
-                               "data organisation", "clean coding",
-                               "version control", "clean coding",
-                               "data sharing", "workflow",
-                               "data organisation", "data sharing"))
-
-table(topics$topic)
-
-topics[order(topics$topic),]
-

01_intro/surveys/topics.txt

@@ -1,15 +0,0 @@
-important things before the open-access data
-Introduction into available tools
-Understandable coding 
-How to manage different data sources in one experiment (e.g. eye tracking, performance, questionnaire..)
-Upload data before or after publishing a paper? Time mangement
-going over guidelines/best practice on how to name files, folders and data as well as folder structure.
-understanding where redundancy is needed (raw data?) and where to avoid it.
-understanding what should always go into a readme file.
-Cleaning up R code for readability
-how to integrate gitHub in workflow
-Documentation of a final R script
-Where to store data for long-term accessibility (conventions?)
-Steps and when to do what
-How to best arrange the data
-Tools, where I should upload my final data

README.md

@@ -2,12 +2,12 @@
 
 | Date       | Topic                                   |
 | ---------- | --------------------------------------- |
-| 2024-05-13 | Introduction to data management         |
+| 13.05.2024 | Introduction to data management         |
-| 2024-05-27 | Workflow                                |
+| 27.05.2024 | Workflows                               |
-| 2024-06-10 | Data organisation                       |
+| 10.06.2024 |                                         |
-| 2024-06-24 | Data sharing                            |
+| 24.06.2024 |                                         |
-| 2024-07-08 | Clean coding                            |
+| 08.07.2024 |                                         |
-| 2024-07-22 | Version control                         |
+| 22.07.2024 |                                         |
 
 # Literature
 
@@ -20,6 +20,3 @@ 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
 
-Wilbrandt, J. (2023). Research Data Management Intro Series: Coffee Lectures &
-Espresso Shots. https://doi.org/10.5281/zenodo.7573695
-

literature/lit.bib

@@ -30,12 +30,3 @@
   doi       = {10.1177/2515245917747656}
 }
 
-@misc{Wilbrandt2023,
-  author    = {Wilbrandt, Jeanne},
-  title     = {{Research Data Management Intro Series: Coffee Lectures \& Espresso Shots}},
-  year      = {2023},
-  publisher = {Zenodo},
-  version   = {1.0},
-  url       = {https://doi.org/10.5281/zenodo.7573695}
-}
-