Harmony News

Here is the news from the Harmony project

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Harmony issue tracker

Harmony issue tracker

Tracking Harmony issues and raising feedback Have you found a problem with Harmony? You can use the links on the Harmony homepage at harmonydata.ac.uk - you can see there are buttons titled Raise NLP issue and Raise UI issue, which take you to the process for logging issues in Github. The issues remain in the issue trackers and can be assigned to people either under “Assignee” or in the comments:

Developer guide

Developer guide

Git and GitHub workflow The preferred workflow for contributing to Harmony’s repository is to fork the main repository on GitHub, clone, and develop on a new branch. Please read our general guide about contributing to Harmony. Fork the main project repository by clicking on the ‘Fork’ button near the top right of the page. This creates a copy of the code under your GitHub user account. For more details on how to fork a repository see this guide.

10 Data Harmonisation Examples That Move Businesses and Organisations Forward

10 Data Harmonisation Examples That Move Businesses and Organisations Forward

Did you know that every day, humanity generates 2.5 quintillion bytes of data? That’s like stacking CDs from Earth to Moon twice! Decisions are increasingly driven by data, which is a big reason why the practice of data harmonisation has become essential in research and the realm of business analytics. Data harmonisation means combining data from different places to make sure it matches up and can be compared. This is vital for making sense of the huge amounts of data we collect and helps us find clear and important insights.

Combining Multiple Survey Sources - Best Practices

Combining Multiple Survey Sources - Best Practices

In today’s data-driven world, surveys are a pivotal tool for researchers, marketers, and decision-makers. They offer invaluable insights into consumer behavior, employee satisfaction, and wide-ranging social issues. However, the challenge often lies in harmonizing data from multiple survey sources to draw coherent, actionable conclusions. This blog explores best practices for combining survey data, inspired by cutting-edge methodologies. Table of Contents Introduction Understanding Data Harmonization Understanding the Landscape Data Integration Techniques Addressing Challenges Leveraging Technology Case Study: Integration of Survey Data to Identify Retail Market Trends Conclusion References Introduction Creating a comprehensive harmonizes data from multiple survey sources is both an art and a science.

News coverage

News coverage

21 Feb 2024, University College London University College London has posted on their website about the Harmony project. Read more on UCL’s website 26 Jan 2024, Software Sustainability Institute The team on the Harmony project contacted the Software Sustainability Institute (SSI) and had some conversations with Steve Crouch from the SSI and the University of Southampton about making our software more sustainable. Read more on the SSI’s website 28 September 2023, Ulster University Ulster University’s Psychology department post writes, “The Harmony project is running at Ulster University in collaboration with University College London, the Universidade Federal de Santa Maria and Fast Data Science.

What is Truly Harmonized Data: A Practical Overview

What is Truly Harmonized Data: A Practical Overview

What is Truly Harmonized Data: A Practical Overview In the era of data-driven decision-making, the concept of harmonized data has emerged as a cornerstone for businesses aiming to leverage their data assets fully. However, despite its critical importance, there exists a significant gap between the perception and reality of data harmonization in the business world. This blog post aims to demystify harmonized data, highlight the common misconceptions businesses have about their data being harmonized, and explore examples of content that have successfully attracted traffic on this topic.

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