We are excited to announce that Harmony, a Natural Language Processing tool for data harmonisation, is now available on the Comprehensive R Archive Network CRAN!
Previously, Harmony R could be installed using devtools.
Harmony can be used to compare questionnaire items across studies, find the best match for a set of items, and identify different versions of the same questionnaire. Harmony is a collaboration project between Ulster University, University College London, the Universidade Federal de Santa Maria, and Fast Data Science. It is funded by Wellcome as part of the Wellcome Data Prize in Mental Health.
To install Harmony, you can use the following command in your R console or R Studio:
install.packages("harmonydata")
We encourage you to try Harmony and let us know what you think! You can also follow us on Twitter @harmonydata for updates.
Here is a quick walkthrough on how to do it:
library(harmonydata)
instrument = load_instruments_from_file(path = "examples/GAD-7.pdf")
instrument_2 = load_instruments_from_file("https://medfam.umontreal.ca/wp-content/uploads/sites/16/GAD-7-fran%C3%A7ais.pdf")
instruments = append(instrument, instrument_2)
match = match_instruments(instruments)
names(match)
#> [1] "questions" "matches" "query_similarity"
As you can see, the match
object contains a lot of information about the best match for each question in the query instrument. This information can be used to harmonise the instruments and make them more comparable.
We hope this walkthrough is helpful. Let us know if you have any other questions.
I’m so excited to see what you can do with Harmony!
MethodsCon in Manchester We will be at MethodsCon: Futures in Manchester, run by the National Centre for Research Methods on 11 and 12 September 2024 to present Harmony, the NLP and AI tool we have been developing for researchers in social science, funded by Wellcome and the Economic and Social Research Council. The events take place at The Edwardian Manchester. Methods Showcase – 11th September The first event is a workshop on 11 September:
BMC Psychiatry has published our paper validating Harmony on real-world data We are pleased to announce the publication of a paper validating Harmony on real-life data: Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data, authored by Eoin McElroy, Thomas Wood, Raymond Bond, Maurice Mulvenna, Mark Shevlin, George B. Ploubidis, Mauricio Scopel Hoffmann and Bettina Moltrecht, and published in BMC Psychiatry.