data

More than thirty years ago, John Naisbitt put into words a feeling many of us recognise today in “Megatrends,” saying, “We are drowning in information but starved for knowledge.” This statement is incredibly relevant in today’s world, filled to the brim with data for research, analysis, and making decisions. The job of pulling and refining data from questionnaires is key, as these are so many insights and so much valuable feedback.

Harmony at Lifecourse seminar On 15 May 2024, Eoin McElroy and Bettina Moltrecht gave a seminar Harmony: A global platform for harmonisation, translation and cooperation in mental health research for the Melbourne Children’s LifeCourse Initiative seminar series.

Harmonising Data in Biopharma In the biopharmaceutical sector, the collection and analysis of data from diverse sources: clinical trials, real-world evidence (RWE), patient registries, and more—are fundamental to drug development, regulatory approval, and post-market surveillance. However, data from these sources often vary in format, nomenclature, and measurement standards, making it challenging to aggregate and analyse them effectively. Data harmonisation addresses these challenges by standardising disparate data for seamless integration, analysis, and interpretation.

How to Harmonise Questionnaires - 10 Practical Steps (+ 1 Bonus Tip) Data privacy is a big challenge today. It’s all about what we share and what we don’t. Zoher Karu said it well: “One of the biggest challenges is around data privacy and what is shared versus what is not shared. And my perspective on that is consumers are willing to share if there’s value returned. One-way sharing is not going to fly anymore.

Comparing Apples to Oranges: How to Analyse Two Completely Different Surveys So, you’ve created a survey (or multiple surveys), convinced people to take part and answer your questions, and have received the results. Great job! Yet, the real test comes when it’s time to make sense of these survey findings. Today, we’ll take a look at why you need surveys, how to design effective surveys, how to analyse survey data, how to analyse survey data with multiple responses, and how to do data harmonisation when you’re dealing with multiple surveys.

Data Harmonisation Tools – Overview Organisations typically collect data from multiple sources and for many different reasons. This data comes in various forms and formats – for example, it may be coming from market research, customer research or inter-organisation departments. Data harmonisation, an advanced technique used to make sense of all the raw data collected and uses for research purposes, becomes necessary in this case, but unless it is incorporated effectively, organisations might miss the full, holistic view of business performance that they wish to gain.

In the digital age, where data is as valuable as currency, marketing professionals face the challenge of navigating through vast oceans of information. The key to unlocking the potential of this data lies in harmonisation - a process that not only streamlines disparate data sources but also unlocks profound insights for targeted and effective marketing strategies. Data harmonisation is a critical process in the marketing world, enabling organizations to standardize, integrate, and leverage data from diverse sources for strategic decision-making.

About Harmonised Data and The Harmony Project If you’ve ever heard of data integration then you can easily understand what harmonised data or data harmonisation is: where disparate data sources are brought together into a single, unified location. But where harmonisation goes a step further is that it reorganises data according to the parameters set by a single schema. Let’s say you want to combine surveys or questionnaires on mental health with different kinds of wording for similar questions, like “anxiety” vs.

Upcoming Tech Talk: at the AICamp AI Meetup (London): AI, Generative AI, LLMs Update: you can download the slides from the presentation here We’re pleased to announce that the AI tool Harmony will be showcased at the upcoming AICamp AI Meetup in London on 27 March. You are invited to AICamp’s monthly in-person AI meetup in London. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers

Introduction In the realm of healthcare, integrating and harmonising data across public and private records is crucial for advancing patient care, research, and policy-making. Data harmonisation in healthcare is a pivotal process for integrating diverse data sources, ranging from public health records to private medical data. This endeavor aims to standardize and unify data for more comprehensive insights, enhancing patient care, research capabilities, and policy-making. This blog explores the concept, significance, and methodologies of data harmonisation in healthcare, referencing key sources and projects in the field.