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Qualitative Content Analysis Codebook from FAIRqual Workshop

Source: R/codebook_qualitative.R
codebook_qualitative.Rd

A codebook containing the results of qualitative content analysis performed on all workshop materials (post-it notes from flipcharts). The analysis categorized discussions about sharing qualitative data in transdisciplinary research into hierarchical themes.

Usage

codebook_qualitative

Format

A tibble with 50 rows and 4 variables:

category

High-level thematic category (e.g., "data types", "data sovereignty", "why share?"). Character variable.

subcategory

More specific topic within the main category (e.g., "interview types", "data platforms"). Character variable.

code

Detailed code assigned to specific content (e.g., "interview", "focus groups", "workshop"). Character variable.

frequency

Number of times this code appeared across all workshop materials. Numeric variable ranging from 1 to 18.

Source

FAIRqual Workshop at the International Transdisciplinary Conference (ITD24), Utrecht, Netherlands, November 4-8, 2024.

See also

flipcharts1 for the raw workshop part 1 data flipcharts2 for the raw workshop part 2 data

Examples

# Load the data
data(codebook_qualitative)

# View structure
str(codebook_qualitative)
#> tibble [50 × 4] (S3: tbl_df/tbl/data.frame)
#>  $ category   : chr [1:50] "data types" "data types" "data types" "data types" ...
#>  $ subcategory: chr [1:50] "interview types" "interview types" "interview types" "interview types" ...
#>  $ code       : chr [1:50] "interview" "focus groups" "oral (hi)stories" "informal talks" ...
#>  $ frequency  : num [1:50] 18 4 3 2 2 17 8 4 3 1 ...

# Most frequent codes
library(dplyr)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union
codebook_qualitative %>%
  arrange(desc(frequency)) %>%
  head(10)
#> # A tibble: 10 × 4
#>    category                                subcategory           code  frequency
#>    <chr>                                   <chr>                 <chr>     <dbl>
#>  1 data types                              interview types       inte…        18
#>  2 data types                              workshop              work…        17
#>  3 data sharing approaches                 data platforms        data…        14
#>  4 data sharing approaches                 dissemination of sum… scie…        11
#>  5 fears / direct challenges of sharing    sharing could do harm shar…        11
#>  6 data sovereignty                        to whom does the dat… to w…        10
#>  7 why share? Practical aspects of sharing standards from insti… stan…        10
#>  8 why share? Practical aspects of sharing scientific benefits   re-u…        10
#>  9 data types                              existing documents    exis…         9
#> 10 ways of sharing qualitative data        sharing of certain a… shar…         9

# Codes by category
codebook_qualitative %>%
  group_by(category) %>%
  summarise(
    n_codes = n(),
    total_frequency = sum(frequency)
  )
#> # A tibble: 7 × 3
#>   category                                n_codes total_frequency
#>   <chr>                                     <int>           <dbl>
#> 1 data sharing approaches                       4              38
#> 2 data sovereignty                              4              28
#> 3 data types                                   19              91
#> 4 fears / direct challenges of sharing          9              44
#> 5 how to navigate ai?                           1               6
#> 6 ways of sharing qualitative data              4              25
#> 7 why share? Practical aspects of sharing       9              51