DataPruebas: An Online Platform for Data Collection

Abstract

We introduce DataPruebas, a user-friendly platform developed in Spanish, designed to streamline scientific data collection. The platform leverages public interest in contributing to scientific research. Participants can register, browse, and participate in various experiments either online with instant access or asynchronously through a flexible scheduling system. For researchers, the platform simplifies the process of uploading experimental protocols and specifying participant criteria based on demographic variables such as age, place of birth, and other relevant characteristics. It is compatible with multiple open-source experiment frameworks, including PsychoPy, jsPsych, and lab.js, allowing researchers to integrate existing paradigms with minimal adaptation. This flexibility makes it easy to migrate previously developed experiments or design new ones using familiar tools. The platform has already been utilised to collect data on decision-making, attention, memory, and survey-based studies, among others. In addition to supporting traditional behavioral experiments, DataPruebas is designed to facilitate the creation of high-quality datasets for machine learning research. It enables the collection of diverse data modalities, including audio recordings, webcam-based eye tracking, and mouse trajectories, allowing researchers to build multimodal datasets tailored to real-world applications.