harmony

Share your harmonisations on social media!

Share your harmonisations on social media!

Now you can share your harmonisations with your colleagues with a simple share link!

We’ve added Firebase authentication to Harmony. You can log in with Google, Github or Twitter, and then you can see all your previous harmonisation work.

login

You can even share your work with colleagues on LinkedIn, Twitter, or via URL.

LinkedIn

You’ll then be taken to the dialogue box in your chosen platform, where you can share your work as normal.

LinkedIn

I tried harmonising two scales for gambling problems. Harmony both pointed me to existing studies in our partner site Catalogue of Mental Health Measures, and allowed me to share the work on social media.

You can see my LinkedIn post below. Why not give it a try and share your research with your colleagues?

Related Posts

Improving Harmony's PDF extraction with user testing

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.
Harmony at MQ and DataMind Data Science Workshop

Harmony at MQ and DataMind Data Science Workshop

Harmony at MQ and Datamind Data Science workshop On 2 May 2025, Dr Eoin McElroy demonstrated Harmony at the MQ and Datamind Data Science workshop in Deutsche Bank. Eoin’s presentation focused on “Maximising the use of existing survey data: facilitating cross-study research using retrospective harmonization.” The workshop brought together researchers interested in applying novel harmonisation techniques to existing datasets. Eoin explained traditional harmonisation processes and presented a user-friendly guide to the Harmony tool, demonstrating how natural language processing can streamline the harmonisation process.

Signup to our newsletter

The latest news on data harmonisation project.

Please select all the ways you would like to hear from Harmony project:

You can unsubscribe at any time by clicking the link in the footer of our emails. For information about our privacy practices, please visit our website. We use Mailchimp as our marketing platform. By clicking below to subscribe, you acknowledge that your information will be transferred to Mailchimp for processing. Learn more about Mailchimp's privacy practices.