{"title":"数据抑制规则对领养和寄养分析与报告系统年度档案中数据访问和重新识别风险的影响。","authors":"Martin Eiermann","doi":"10.1177/10775595241270042","DOIUrl":null,"url":null,"abstract":"<p><p>One of the most widely used data sources for research on foster care and adoption is the Adoption and Foster Care Analysis and Reporting System (AFCARS). County identifiers in AFCARS are suppressed for all counties with fewer than 1000 cases to prevent the re-identification of vulnerable children, but this also impacts researchers' ability to study smaller communities and analyze how local environments may affect out-of-home placements. This study uses non-public AFCARS datasets to assess, for the first time, how data suppression rules impact data access and re-identification risk. It compares the long-standing 1000-case threshold against a wide range of potential alternatives and finds substantial data access gains coupled with moderate risk increases for thresholds between 400 and 700. Adopting a 700-case threshold leads to a 50% increase in the number of identifiable counties while also keeping the percentage of fostered children who face an elevated risk of re-identification below 1%. Making data from a substantial number of rural counties available to researchers requires much larger threshold changes, which in turn increases re-identification risks.</p>","PeriodicalId":48052,"journal":{"name":"Child Maltreatment","volume":" ","pages":"10775595241270042"},"PeriodicalIF":4.5000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Data Suppression Rules on Data Access and Re-Identification Risk in Adoption and Foster Care Analysis and Reporting System Annual Files.\",\"authors\":\"Martin Eiermann\",\"doi\":\"10.1177/10775595241270042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>One of the most widely used data sources for research on foster care and adoption is the Adoption and Foster Care Analysis and Reporting System (AFCARS). County identifiers in AFCARS are suppressed for all counties with fewer than 1000 cases to prevent the re-identification of vulnerable children, but this also impacts researchers' ability to study smaller communities and analyze how local environments may affect out-of-home placements. This study uses non-public AFCARS datasets to assess, for the first time, how data suppression rules impact data access and re-identification risk. It compares the long-standing 1000-case threshold against a wide range of potential alternatives and finds substantial data access gains coupled with moderate risk increases for thresholds between 400 and 700. Adopting a 700-case threshold leads to a 50% increase in the number of identifiable counties while also keeping the percentage of fostered children who face an elevated risk of re-identification below 1%. Making data from a substantial number of rural counties available to researchers requires much larger threshold changes, which in turn increases re-identification risks.</p>\",\"PeriodicalId\":48052,\"journal\":{\"name\":\"Child Maltreatment\",\"volume\":\" \",\"pages\":\"10775595241270042\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Child Maltreatment\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/10775595241270042\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FAMILY STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child Maltreatment","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/10775595241270042","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FAMILY STUDIES","Score":null,"Total":0}
The Impact of Data Suppression Rules on Data Access and Re-Identification Risk in Adoption and Foster Care Analysis and Reporting System Annual Files.
One of the most widely used data sources for research on foster care and adoption is the Adoption and Foster Care Analysis and Reporting System (AFCARS). County identifiers in AFCARS are suppressed for all counties with fewer than 1000 cases to prevent the re-identification of vulnerable children, but this also impacts researchers' ability to study smaller communities and analyze how local environments may affect out-of-home placements. This study uses non-public AFCARS datasets to assess, for the first time, how data suppression rules impact data access and re-identification risk. It compares the long-standing 1000-case threshold against a wide range of potential alternatives and finds substantial data access gains coupled with moderate risk increases for thresholds between 400 and 700. Adopting a 700-case threshold leads to a 50% increase in the number of identifiable counties while also keeping the percentage of fostered children who face an elevated risk of re-identification below 1%. Making data from a substantial number of rural counties available to researchers requires much larger threshold changes, which in turn increases re-identification risks.
期刊介绍:
Child Maltreatment is the official journal of the American Professional Society on the Abuse of Children (APSAC), the nation"s largest interdisciplinary child maltreatment professional organization. Child Maltreatment"s object is to foster professional excellence in the field of child abuse and neglect by reporting current and at-issue scientific information and technical innovations in a form immediately useful to practitioners and researchers from mental health, child protection, law, law enforcement, medicine, nursing, and allied disciplines. Child Maltreatment emphasizes perspectives with a rigorous scientific base that are relevant to policy, practice, and research.