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A set of tools for dealing with Citavi data in R

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I want to add new record to the .ctv6, but I didn't find the function?

enhancement
help wanted

It does not actually alter the dataset? https://schmidtpaul.github.io/CitaviR/articles/CitaviR.html#handle-obvious-duplicates

Find potential duplicates based on title and year and add gained information as columns like so: ```r read_Citavi_xlsx(example_xlsx('3dupsin5refs.xlsx')) %>% find_obvious_dups() %>% find_potential_dups() ``` - [x] write function - [ ]...

enhancement

Add more example datasets with these features: - [x] is large enough that `find_potential_dups()` has to go trough `if (NumberOfComp > maxNumberOfComp)`. - [x] has different languages for `detect_language()` -...

enhancement

Import like so: ```r import_path

question

Make use of [textcat](https://cran.r-project.org/web/packages/textcat/index.html) to identify the language of the abstract like so: ```r read_Citavi_xlsx(example_xlsx('3dupsin5refs.xlsx')) %>% detect_language() ``` - [x] write function - [ ] write tests - [ ]...

enhancement

Making use of `countrycode::codelist`, detect the country from keyword, title and/or abstract like so: ```r read_Citavi_xlsx(example_xlsx('3dupsin5refs.xlsx')) %>% detect_country() ``` - [ ] write function - [ ] write tests -...

enhancement

Take obvious duplicates, mark one as the "non-duplicate" and all others as the "duplicates" while making sure to extract all information across all duplicates and save it in the fields...

enhancement