RRSS #7-Confidentiality During Release of Records w/Address or other GeoData-Iowa

在公共卫生领域，使用地理信息系统（GIS）来了解癌症的空间格局正变得越来越普遍（见《国际卫生地理学杂志》的无数例子），但很少有登记处能够获得内部专门知识来最大限度地利用新的GIS技术。为了与第三方合作进行此类分析，有理由担心数据发布和可能违反已发布数据的空间保密性。数据需要被充分掩盖以保持机密性，同时保持足够的空间信息，以便进行复杂和准确的分析。需要开发健壮但有效（相对容易使用和负担得起）的技术来维护来自注册中心的空间数据的机密性，同时最大限度地促进空间分析的协作。此外，还需要制定一个全seer范围的标准，用于分发用于空间分析的数据。

The use of a Geographic Information System (GIS) to understand spatial patterns of cancer is becoming more common within the public health field (see the International Journal of Health Geographics for countless examples), yet few registries have access to in-house expertise for maximizing new GIS technologies. In order to collaborate with a third party in performing such analyses, there are justifiable concerns regarding data release and potential spatial confidentiality violations of released data. Data need to be sufficiently masked to preserve confidentiality, while at the same time maintaining enough spatial information to allow sophisticated and accurate analyses. The development of robust but effective (relatively easy to use and affordable) techniques for maintaining the confidentiality of spatial data from registries, while maximizing collaboration for spatial analysis, is required. Moreover, a SEER-wide standard for distributing data for spatial analyses needs to be developed. This proposal shall concentrate on optimizing methods for developing datasets with geographical data that can be shared in an appropriate manner without losing spatial patterns of interest. A form of spatial regression called Geographically Weighted Regression shall be tested. Other commonly used spatial analytical approaches, ranging from smoothing surfaces to tests for aggregate level spatial autocorrelation shall also be tested.