- Data Categories
Agriculture Data 
B2B Data 
Biometric Data 
Company Data 
Conservation Data 
Demographic Data 
Economic Data 
Environmental Data 
Geospatial Data 
Healthcare Data 
Individual Data 
Industry-Specific Data 
Internet of Things (IoT) Data 
Legal and IP Data 
People and Employment Data 
Political Data 
Psychology Data 
Real Estate Data 
Retail & Commerce Data 
Social Data 
Space Exploration Data 
Sports & Entertainment Data 
Web Data
- Data Categories
- Agriculture Data
- B2B Data
- Biometric Data
- Company Data
- Conservation Data
- Demographic Data
- Economic Data
- Environmental Data
- Geospatial Data
- Healthcare Data
- Individual Data
- Industry-Specific Data
- Internet of Things (IoT) Data
- Legal and IP Data
- People and Employment Data
- Political Data
- Psychology Data
- Real Estate Data
- Retail & Commerce Data
- Social Data
- Space Exploration Data
- Sports & Entertainment Data
- Web Data
Biometric Data
What Is Biometric Data?
Biometric data is the measurement of living organisms, usually humans, and usually for the purpose of identifying individuals. These biological measurements may be morphological, like DNA, or behavioral, like gait patterns.
Where Does Biometric Data Come From?
Cameras, especially CCTV cameras, record most of this data. Various sensor technologies cover most of the rest. However, anything that can measure biological data may be a source, such as blood or DNA tests, audio recordings, EEG measurements for the brain, and so on.
However, it is not all high-tech: fingerprints pressed onto thick paper with black ink also count.
What Types of Columns/Attributes Should I Expect When Working with This Data?
Most biometric databases are image-based, such as historical mugshot photos or detailed brainwave scans. Further, as mentioned above, the data divides into morphological and behavioral data. Morphological data includes relatively static measures like DNA, face shape, and iris image, as well as more dynamic measures like body temperature or heartbeat. Behavior includes measurements like eye tracking data, typing rhythm, or, gait.
What Is Biometric Data Used For?
This data is used most by security services. The data is there to ensure that only authorized personnel access sensitive locations or equipment, for example – that national elections remain secure, that housemates don’t log into an individual’s phone, and so on.
The healthcare and fitness fields use the most biometric data, after security systems. Remotely-collected biometric data is used by both general practitioners and specialists to monitor patients or as a supplement to diagnosis. Individuals also make use of data to track their general health and fitness journeys. A runner, for example, would use wearable devices to track their stride, distance run, and fatigue levels in order to improve their running ability.
How Should I Test the Quality of Biometric Data?
Essentially biometric data must be fit for the purpose required. For example, heart rate or brainwave data may be necessary for health-related needs. For IT security, however, that information is likely irrelevant.
In both cases, however, the data must accurately measure whatever biological aspect is required of it. Data that is being measured should also be both unique and universal. That is to say, the data must be something that nearly the entire population possesses and it must be specific enough to allow users to distinguish between the individuals being measured.
Interesting Case Studies and Blogs to Look Into
UIDAI: About Your Aadhaar
Thales Group: Biometrics: definition, trends, use cases, laws and latest news
Tangible Examples of Impact
Countries that have adopted data privacy and biometric laws have specific requirements around the collection of personal information related to children. Due to the nature of the app and its purpose, TikTok also has been scrutinized for compliance with privacy laws affecting minors.
Connected Datasets
KHIPU Networks Cyber Security Services
KHIPU Networks Cyber Security consists of twenty-five security products maintained by experts in technology all over the world. These services can be divided into two main areas: Next-generation networking and advanced cyber security.
Novetta Data Analytics
Novetta Data Analytics analyzes geospatial, biometric, identification, & other data to support law enforcement, maritime, & other uses
REACH Identity Verification
As part of its acquisition, engagement, and automation platform, REACH manages identity verification data. The REACH Identity Verification process is proprietary and privacy-compliant. In order to verify customer identity, the platform uses biometric data, document verification, liveness checks, and more.