Examples repository: Python and R

For users who have been using Harmony in their research, we have created an example scripts repository here

https://github.com/harmonydata/harmony_examples

This contains example R notebooks and Jupyter notebooks. You can upload your own example script if you have something to share with the research community.

Example problems that users have been solving included:

R examples

Walkthrough R notebook in R Studio:
Walkthrough R notebook in Google Colab:
R Markdown to Check for Correspondence between Differently Worded Versions of the Same Scale Item View on Github - credit to Deanna Varley
R Script to Check for Matches between Items from Different Scales View on Github - credit to Deanna Varley

Python examples

Documentation

View the PDF documentation of the R package on CRAN

Introducing Harmony Meta: A Simpler Way to Discover Research Metadata

Introducing Harmony Meta: A Simpler Way to Discover Research Metadata Finding the right data is the foundation of good research, but it shouldn’t be the hardest part of the process. We are pleased to announce the beta release of Harmony Meta, a search tool built to help researchers find datasets and study information more efficiently. This first version is now live, and we are inviting the research community to test it and help us shape its future.

Improving Harmony's PDF extraction with user testing

Since we built Harmony, a common complaint has been that it frequently identifies the wrong questions in PDFs. The original algorithm for finding questions in PDFs was a mixture of rule based heuristics and some hand coded logic to look for e.g. lines in the document which begin with numbers. This was very fragile and worked fine on short questionnaires such as the GAD-7, but failed on larger documents. We decided to run a competition with our partner DOXA AI where members of the public could train their own model to extract questions from PDFs.