Harmony News
Here’s the link to join our Discord, where you can find the event: https://discord.gg/harmonydata! Announcing: Harmony Orientation Session! 🌐 Date & Time: Monday 19 February 2024, at 10am UK time Location: Discord Video of the event Hey Harmony Community! We’re excited to invite you to our upcoming Orientation Session on Discord! Whether you’re new to Harmony or looking to dive deeper into our projects, this event is for you. During the session, we’ll cover:
Introduction In the digital age, data is often collected from multiple sources, leading to variability in formats, standards, and quality. Data harmonisation addresses these issues by transforming disparate data into a cohesive dataset, enabling better analysis, insights, and decision-making. It is essential for organisations looking to leverage their data assets across diverse systems and platforms. Data harmonisation involves several key steps: preparing, transforming, and validating data. Additionally, it’s built on a foundation of best practices that ensure the integrity, accuracy, and usability of the harmonised data.
Project ideas for future development of Harmony Accepted project ideas Below you can see the list of project ideas aligned with Harmony’s standards, all designed to elevate the functionality and accessibility of Harmony. These proposals aim to fortify Harmony as a comprehensive tool for researchers navigating questionnaire item harmonisation across diverse studies. Each idea maintains a clear scope, typically avoiding extensive overhauls. Quick-start guidelines and beginner-friendly tasks are provided for each idea.
Harmony launches on Kaggle! We are proud to have launched our first competition on Kaggle! The primary challenge of this competition is to develop an AI tool or method that can accurately extract questionnaire questions from documents, primarily PDFs. This competition offers a unique opportunity for participants to contribute to the field of natural language processing and document analysis as well as open source for social science while developing solutions that have real-world applications.
Data Standardisation vs Harmonisation: The Right Things at the Right Times In the evolving landscape of data management, two concepts often come to the forefront: data standardisation and data harmonisation. Both play critical roles in how organisations manage and utilise their data, but they serve different purposes and are applicable in various contexts. This article delves into the nuances of each concept, particularly focusing on their significance in business and scientific environments.
Data Harmonisation: Unifying Data for Deeper Insights What is Data Harmonisation? In today’s data-driven world, data harmonisation has become increasingly important. With data coming from disparate sources, it’s essential to ensure that this information is consistent, accurate, and usable. For example, in a large study in social sciences, such as a longitudinal study or meta-analysis, it is common that a researcher may want to combine data from different studies. We can make data comparable by recoding variables from different studies, modifying them, or identifying which variables in one study match variables in another study.
