数据抑制对重新识别风险和国家儿童虐待和忽视数据系统中的数据访问的影响
Martin Eiermann1, Sarah Sernaker2
1Department of Sociology, Duke University, Durham, NC, USA.
Child maltreatment
|April 21, 2025
概括
新的儿童局规则国家儿童虐待和忽视数据系统 (NCANDS) 数据现在允许识别更多的县. 这增加了儿童虐待研究的重新识别风险.
科学领域:
- 儿童福利研究儿童福利研究
- 数据隐私和安全数据隐私和安全
- 公共卫生统计 公共卫生统计
背景情况:
- 国家儿童虐待和忽视数据系统 (NCANDS) 是美国儿童虐待数据的主要来源.
- 数据抑制规则对于保护个人隐私和防止敏感数据集重新识别至关重要.
- 以前的NCANDS数据压制规则阻止识别年不到1000起虐待案件的县.
研究的目的:
- 分析2024年夏天实施的修订后的NCANDS数据抑制规则的影响.
- 量化县级数据可识别性和相关重新识别风险的变化.
- 评估新规对农村县和具有独特人口特征的儿童识别能力的影响.
主要方法:
- 在2024年夏季规则修订之前和之后NCANDS数据抑制值的比较分析.
- 计算可识别县的增加,包括农村县.
- 评估重识别风险较高的儿童百分比变化的评估.
主要成果:
- 数据抑制门从1000个减少到700个案件,可识别县的数量增加了31.3% (从835个增加到1096个).
- 可识别的农村县的数量翻了一番.
- 具有独特的人口特征的儿童面临重新识别风险较高的比例从0.7%上升到1.0%.
结论:
- 修订后的NCANDS数据隐藏规则显著提高了县级数据的可识别性.
- 这些变化增加了儿童重新识别的风险,特别是那些在农村地区或具有独特特征的儿童.
- 使用NCANDS数据的未来研究必须考虑这些更新的隐私影响.
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