Internet-of-Things (IoT) devices, sensors, and wearables allow you to trigger data collection that can be contextualized by location, time, and other factors.
![Smart phone screens showing systems to capture mobile data](/sites/default/files/styles/57_desktop/public/2023-11/TransferOfData.png.webp?itok=gP03CrqM)
Many researchers are creating datasets by collecting data through such methods as surveys, sensors, and simulations.
The technologies required to capture and track these data are often cutting-edge and require access to equipment, including Internet-of-Things (IOT) devices, mobile devices, 3D scanners, or high-performance computers. OARC’s consulting teams are experienced with a wide array of data generation methodologies.
Solutions We Offer
![A composite of a smart watch, cell phone, and sensors](/sites/default/files/styles/featured_card_desktop/public/2023-11/IoT-SensorData.jpg.webp?itok=i60f-fuC)
![hands holding a smart phone capturing an image of two young students in a classroom](/sites/default/files/styles/featured_card_desktop/public/2023-11/MobileDesignDataCollection.jpg.webp?itok=DybJPJUJ)
Apps associated with a research study can help you gather passive sensor data (e.g., GPS or time stamps.) or actively captured data such as self-reported input or observations from the field (e.g., images or video).
![Computer model of human heads](/sites/default/files/styles/featured_card_desktop/public/2023-10/SimulationAndModeling.png.webp?itok=gAzJduZ-)
Make predictions about real-world systems using mathematical models.
![Hands holding a tablet that is displaying a scan of the room](/sites/default/files/styles/featured_card_desktop/public/2023-10/IMG_3444.jpg.webp?itok=jE2EeigP)
Gather three-dimensional data about objects or extract of three-dimensional measurements from two-dimensional photographs.