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.
You can even share your work with colleagues on LinkedIn, Twitter, or via URL.
You’ll then be taken to the dialogue box in your chosen platform, where you can share your work as normal.
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?
Sending data from another website to Harmony using Javascript We have exposed functionality for external websites to integrate with Harmony and add an “import to Harmony” button, either generated in Javascript or in Python. Create an Instrument object with at least an instrument_name and questions property in JSON - the questions must have a question_no and question_text properties eg: { "instrument_name": "Smoking behaviour", "questions": [ { "question_no": "1", "question_text": "Do you currently smoke or have you ever smoked?
Harmony at PyData London - 86th Meetup Update: you can download the slides from the presentation here Topic: NLP and generative models for psychology research Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a free online tool that uses generative AI and LLMs to help psychologists analyse datasets. It uses Python, Pandas and HuggingFace Sentence Transformers to find similarities between questionnaires. Psychologists and social scientists often have to match items in different questionnaires, such as “I often feel anxious” and “Feeling nervous, anxious or afraid”.