Proto-OKN Theme 1: An integrated platform to connect criminal justice data across data silos

美国拥有世界上最大的刑事司法系统，每年解决超过1800万起刑事案件。考虑到刑事司法职能的普遍性和严肃性，以及该系统收集的数据量，在美国全国范围内可以访问的刑事司法数据很少。关于谁被起诉和定罪，以及他们经历了什么样的最终结果，缺乏可获得的信息。这个原型-开放知识网络项目在一个综合平台上连接跨数据孤岛的刑事司法数据，旨在建立一个综合知识网络作为数据基础设施，以便在刑事司法系统内的数据系统之间建立必要的连接。这一平台将有助于提高对刑事司法运作和结果的集体认识。它还将有助于评估该制度中任何偏见的影响，并有助于评估其他法外因素，例如犯罪的社会决定因素。将刑事司法系统对犯罪的综合反应联系起来，对于揭示司法行政方面的不公平和效率低下至关重要。知识网络也将有助于推动知识网络科学的发展。首先从华盛顿州和佐治亚州开始，第一个成果将是建立一个运作良好的知识网络，为这些地区提供迄今为止最完整的刑事司法情况。长期目标是将这种方法推广到所有地区/州。该平台使用公共数据集来实现其创建公共利益信息资源的目标，该资源与司法统计局、国家司法研究所、司法部和地方法院等刑事司法机构的信息协调一致。这些司法管辖区已经产生了大量的数据，这些数据需要协调、联网，并使其更加透明和有意义，供感兴趣的用户使用。知识网络将采用以用户为中心的方法构建，考虑技术的可用性以及对知识网络中数据的个人造成的伤害最小化。该项目将通过在需要平衡数据透明度和数据危害的大数据世界中重新定义数据最佳实践来实现这些目标。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The United States has the largest criminal justice system in the world, resolving over 18 million criminal cases each year. Given the pervasiveness and seriousness of the criminal justice function, and the amount of data collected by that system, very little criminal justice data is nationally-accessible across the United States. There is a dearth of accessible information about who is prosecuted and convicted and what kinds of ultimate outcomes they experience. This Prototype-Open Knowledge Network project on an integrated platform to connect criminal justice data across data silos seeks to establish an integrated knowledge network as the data infrastructure for making necessary connections across data systems within the criminal justice system. This platform will help improve the collective knowledge of criminal justice functioning and outcomes. It will also help in the evaluation of the influence of any bias in the system, and in the evaluation of other extralegal factors, such as the social determinants of crime. Correlating the aggregated response of the criminal justice system to crime is essential to reveal inequities and inefficiencies in the administration of justice. The knowledge network will also help advance the science of knowledge networks. Beginning initially with the states of Washington and Georgia, the first outcome will be a functioning knowledge network that provides the most complete picture of criminal justice to date for these regions. The longer term objective is to extend this approach to all regions/states. The platform uses public data sets to achieve its objectives of creating a public interest information resource that works in harmony with information from criminal justice institutions like the Bureau of Justice Statistics, the National Institute of Justice, the Department of Justice, and the local courts. These jurisdictions are already producing huge amounts of data that need to be harmonized, networked, and made more transparent and meaningful for use by interested users. The knowledge network will be constructed using a user-centered approach that considers usability of the technology as well as minimization of harm caused to individuals whose data populates the knowledge network. The project will achieve these goals by re-conceptualizing data best practices in a big data world where data transparency and data harm need to be balanced.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.