Center on Violence Against Women and Children, 242612Rutgers University School of Social Work, New Brunswick, NJ, USA.
Division of Student Affairs, Rutgers University-Rutgers Biomedical and Health Sciences, New Brunswick, NJ, USA.
J Interpers Violence. 2022 Dec;37(23-24):NP23563-NP23586. doi: 10.1177/08862605221078817. Epub 2022 Mar 2.
Sexual violence is well documented as a major problem on college campuses, and the delivery of service and programs at institutions of higher education (IHE) has proliferated over recent years. However, the implementation of these efforts has often outpaced the field's work in developing evaluation models. Many institutions depend on campus climate surveys for data to inform their efforts, yet there are multiple data points that can be accessed to provide a more holistic picture of efforts to address sexual violence on campus. The data ecosystem framework provided by Driver-Linn & Svenson (2017) offers a comprehensive approach for assessing efforts to address campus sexual violence (CSV), but implementation models are needed that connect evaluation and practice, take local context into account, and lead to changes on campus. This paper presents a case study from a multisite university to describe the process of implementing a "data ecosystem" to assess the institutions' efforts to effectively address CSV, and how the data was used by practitioners and administrators. The collaborative, utilization-driven model has provided valuable data to inform the delivery of services and programs across the university yet has limitations and requires a wide range of resources to sustain.
性暴力是大学校园里一个众所周知的严重问题，近年来，高等教育机构（IHE）提供的服务和项目也迅速增加。然而，这些努力的实施往往超过了该领域开发评估模型的工作。许多机构依赖校园气候调查来获取数据，以指导他们的工作，但有多个数据点可以用来更全面地了解校园性暴力问题的解决工作。Driver-Linn 和 Svenson（2017）提供的数据生态系统框架为评估解决校园性暴力（CSV）的努力提供了一种全面的方法，但需要实施将评估和实践联系起来、考虑当地背景并导致校园变革的模型。本文从一个多校区大学的案例研究出发，描述了实施“数据生态系统”来评估机构有效解决 CSV 努力的过程，以及数据是如何被从业者和管理人员使用的。这种协作的、以利用为驱动的模式为整个大学提供了有价值的服务和项目交付数据，但也存在局限性，需要广泛的资源来维持。
