The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N₁ = 226, N₂ = 261, N₃ = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition.

瑞士学生生活研究（SSL Study）是在三个本科生群体中进行的纵向社交网络数据收集（N ₁ = 226，N ₂ = 261，N ₃= 660）在2016-2019年。该研究的主要目的是了解非正式学生社区的出现及其对不同个人成果（例如幸福感，动力和学业成就）的影响。为此，结合了基于计算机的调查，社交传感器，社交媒体数据和现场实验，对社交联系的多个维度进行了评估。这些社交网络的动态在不同的时间尺度上进行了测量。在本文中，我们介绍了SSL研究的设计和数据收集策略。我们从四个方面讨论了与数据收集相关的实际挑战和解决方案，这是我们项目成功的关键：研究设计，研究伦理，沟通和人口定义。