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| dcc:pdpsol:de-identification [2026/03/17 16:12] – marlon | dcc:pdpsol:de-identification [2026/03/23 14:09] (current) – add go back to P&DP home page marlon |
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| ==== Research specific de-identification techniques ==== | ==== Research specific de-identification techniques ==== |
| === Video data === | === Video data === |
| | Researchers use video to record real-world behavior, interactions, or experiments in detail, for example, tracking how people move, communicate, or perform tasks over time. It is important to de-identify this type of data, because videos can easily reveal faces, voices, or surroundings, and leaving those visible can reveal participants’ identities. |
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| ++++ Face and body masking |[[https://github.com/MaskAnyone/MaskAnyone|MaskAnyone]] is a de-identification toolbox for videos that allows you to remove personal identifiable information from videos, while at the same time preserving utility. It provides a variety of algorithms that allows you to de-identify or even anonymize videos (video & audio). | ++++ Face and body masking |[[https://github.com/MaskAnyone/MaskAnyone|MaskAnyone]] is a de-identification toolbox for videos that allows you to remove personal identifiable information from videos, while at the same time preserving utility. It provides a variety of algorithms that allows you to de-identify or even anonymize videos (video & audio). |
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| === Audio data === | === Audio data === |
| Audio recordings in research are typically collected to capture exactly what participants say during interviews or focus groups. Audio data itself can contain identifying information. That is, participants may be recognizable from their voice by other people, and modern speech recognition technologies can also be used to identify participants. For this reason, audio data should be de-identified before further use or sharing. | Audio recordings are typically collected to capture exactly what participants say during interviews or focus groups, or to study voice patterns. Audio data itself can contain identifying information: Participants may be recognizable from their voice by other people, and modern speech recognition technologies can also be used to identify participants. For this reason, audio data should be de-identified before further use or sharing. |
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| ++++ Transcription | | ++++ Transcription | |
| * Network identifiers (e.g. IP addresses) | * Network identifiers (e.g. IP addresses) |
| * Device or user IDs (e.g. serial numbers, or account IDs) | * Device or user IDs (e.g. serial numbers, or account IDs) |
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| | [[dcc:pdpsol:start | → Go back to the Privacy & Data protection home page]] |