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| dcc:pdpsol:dataminimization [2026/02/19 13:19] – marlon | dcc:pdpsol:dataminimization [2026/03/03 14:18] (current) – text editing marlon | ||
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| ===== Introduction ===== | ===== Introduction ===== | ||
| - | Data minimization is one of the data protection principles that form the basis of the GDPR. It states that the processing of personal data should be “adequate, | + | Data minimization is one of the data protection principles that form the basis of the GDPR. It states that the processing of personal data should be //“adequate, |
| When designing your research, it is important to consider the personal data required to answer your research questions, as well as the level of detail needed and any data that may be collected automatically due to your chosen method. The data minimization practices introduced below will help you to implement data minimization in your own research. | When designing your research, it is important to consider the personal data required to answer your research questions, as well as the level of detail needed and any data that may be collected automatically due to your chosen method. The data minimization practices introduced below will help you to implement data minimization in your own research. | ||
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| ==== Take into account the effort of research participation ==== | ==== Take into account the effort of research participation ==== | ||
| Although it is important to consider what personal data you need for your research, it is also important to be mindful of the effort and strain participation may place on data subjects. This means you should limit the collection of personal data to what you need for your research. However, you should also respect participants’ time and effort, and avoid designing studies that require participants to take part multiple times due to narrowly defined research questions. This is particularly important when working with vulnerable or hard-to-reach groups. In such cases, it is advisable to design studies that can address several relevant questions at once, thereby maximizing the value of participants’ contributions while minimizing their strain. | Although it is important to consider what personal data you need for your research, it is also important to be mindful of the effort and strain participation may place on data subjects. This means you should limit the collection of personal data to what you need for your research. However, you should also respect participants’ time and effort, and avoid designing studies that require participants to take part multiple times due to narrowly defined research questions. This is particularly important when working with vulnerable or hard-to-reach groups. In such cases, it is advisable to design studies that can address several relevant questions at once, thereby maximizing the value of participants’ contributions while minimizing their strain. | ||
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| + | ==== Use consistent file naming and version control ==== | ||
| + | Organize your data consistently by using a file naming strategy and good folder structure. The [[https:// | ||
| + | * Do not include contact information or other personal data in the naming of your files. | ||
| + | * Incorporate version numbers in file names. By adding version numbers to your file names, it allows you to easily access and delete different versions of files, over time. | ||
| + | * It is good practice to create a version control table to keep track of different versions. The version control table can include information on different version numbers, authors, notes, and when the file was last updated. The table can also include a summary of the differences between the current version and previous versions. The version control table can be an independent text file, or it can be included at the top of your document, scripts, or other files. See Table 2 for an example of a version control table. ([[https:// | ||
| + | * Refer to the DCC website for more information on [[https:// | ||
| + | |||
| + | **Table 2: Example of a version control table ** | ||
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| + | {{: | ||
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| === Informed consent === | === Informed consent === | ||
| - | Informed consent can reveal personal information. Minimize the amount of personal data on your consent form and plan to handle consent registration with care. Follow the practical guidelines on the DCC website about [[https:// | + | Informed consent can reveal personal information |
| ++++ Informed consent on paper | | ++++ Informed consent on paper | | ||
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| ===Metadata=== | ===Metadata=== | ||
| Photo, video or audio files might contain a timestamp, date and depending on the equipment and settings also location. Check whether you can prevent the collection of these data or remove these metadata as soon as possible after collection. [[https:// | Photo, video or audio files might contain a timestamp, date and depending on the equipment and settings also location. Check whether you can prevent the collection of these data or remove these metadata as soon as possible after collection. [[https:// | ||
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| ==== Online survey or questionnaire research ==== | ==== Online survey or questionnaire research ==== | ||
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| === Informed Consent === | === Informed Consent === | ||
| - | Be aware that consent | + | Informed |
| ++++ Informed consent via an online platform | | ++++ Informed consent via an online platform | | ||
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| ===Metadata=== | ===Metadata=== | ||
| Online (survey) tools sometimes automatically register personal data, such as IP addresses. Check whether it is necessary and possible to turn off automatic data collection in your online data collection tool. Counterintuitively, | Online (survey) tools sometimes automatically register personal data, such as IP addresses. Check whether it is necessary and possible to turn off automatic data collection in your online data collection tool. Counterintuitively, | ||
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| ==== Social media data ==== | ==== Social media data ==== | ||
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| ===Contact information=== | ===Contact information=== | ||
| - | If you are [[https:// | + | If you are [[https:// |
| ===Metadata=== | ===Metadata=== | ||