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Planning your data collection

Before beginning a data collection, you must ensure that the personal data processing has a valid legal basis. At Swedish universities and higher education institutions – which are public authorities – the most common legal basis is public interest, although in some cases it may be consent. A key principle for data collection is data minimization, meaning that only the personal data that are necessary for the research purpose should be collected.

Sensitive personal data – for example, data about health, political opinions, or religious beliefs – may only be processed for research purposes after approval from the Swedish Ethical Review Authority. It is also important to implement appropriate safeguards to protect the sensitive data. Note that the data may only be used within the scope of the specific research project that received ethical approval; if the project is expanded or altered, it may require a new ethical review. For example, if a researcher wants to reuse the data in a new study, they must submit a new application for ethical approval.

We recommend consulting your organization’s research data support service and Data Protection Officer for specific guidance on handling personal data in your research.

What do I need to think about if I plan to collect personal data in my research?

The European Commission has developed an interactive decision treeOpens in a new tab to help researchers identify important questions and risks when planning a research study. Walk through the decision tree to ensure that the study complies with the GDPR.

Data collection checklist

There are several important aspects to consider before starting to collect research data. Some of the key points are included in this checklist. A good way to ensure that all relevant aspects of the data management and processing are covered is to create a data management plan that addresses the areas outlined below.

1. Identify the responsible research principal
2. Determine whether the research involves personal and/or sensitive personal data
3. Identify the data controller
4. Follow the fundamental GDPR principles for processing personal data
5. Inform the research participants
6. Determine whether the data are subject to secrecy
7. Classify the information