A brief overview of some terms relating to data and health

Personal data is any information that can identify a specific person, either on its own or when combined with other details. It is about different pieces of information, which together can lead to the identification of a particular person, like your name, social security number, email, or phone number.

Portability refers to the ability to easily move or transfer something from one place, system, or service to another. Data portability means that you have the right to get a copy of your data in a usable format and transfer it to another service or platform. It gives you control over your information and allows you to switch services without losing access to your data. In healthcare it is moving your medical records from one doctor or hospital to another.

Primary data refers to data that you collect yourself, specifically for a particular research project or purpose. It’s original data that hasn’t been previously gathered or analyzed by someone else. You collect it directly from the source. Primary data is gathering first-hand information directly from the field, experiments, surveys, or observations. It’s new data created specifically to answer your research question or solve a specific problem. If you want to know how well a new medication works, you might conduct a clinical trial and collect data on the patients’ responses and health improvements. This data is primary because you’re gathering it directly for your specific research.

Primary use refers to the direct use of health data in providing healthcare services, such as a doctor using a patient's medical records to make a diagnosis or determine a treatment plan, and also allowing the doctors in any member state to access the patients data if necessary.

Pseudonymisation means processing research data in such a way that they can no longer be attributed to a specific person without the use of additional information like a coding key. This usually involves replacing identifiers from the data with a pseudonym (GDRP: art. 4(5)).

The public value of data refers to the benefits that data provides to society as a whole. It’s about using data to improve public services, solve social challenges, and create opportunities that positively impact communities, not just individuals or private organizations. Public value of data means using data for the common good—to make life better for everyone. This includes improving healthcare, education, transportation, and more through better decisions and innovations based on shared information.