John E Marcotte,Sarah Rush,Kelly Ogden-Schuette
John E Marcotte
Research data have expanded in their gradation of the risks associated with both re-identification and harm, which has created a need for multiple levels of access controls beyond public and restricted access. Public-access data have typica...
BEYOND LEGAL FRAMEWORKS AND SECURITY CONTROLS FOR ACCESSING CONFIDENTIAL SURVEY DATA IN THE UNITED STATES: ENGAGING DATA USERS IN DATA PROTECTION [0.03%]
超越法律框架和安全控制在美国访问机密调查数据中的应用——通过与数据使用者的互动来保护数据
Amy M Pienta,Joy Bohyun Jang,Margaret C Levenstein
Amy M Pienta
With growing demand for data reuse and open data within the scientific ecosystem, protecting the confidentialy of survey data and privacy of data subjects is increasingly important. Doing so requires more than legal procedures and technolog...
Joy Bohyun Jang,Amy M Pienta,Margaret C Levenstein et al.
Joy Bohyun Jang et al.
Many organizations across the world that manage restricted data have adapted the Five Safes framework (safe data, safe projects, safe people, safe setting, safe output) for their management of restricted and confidential data. While the Fiv...
NATIONAL ADDICTION AND HIV DATA ARCHIVE PROGRAM: DEVELOPING AN APPROACH FOR REUSE OF SENSITIVE AND CONFIDENTIAL DATA [0.03%]
国家成瘾与艾滋病毒数据档案程序：开发用于重复使用敏感和机密数据的方法
Kathy Etz,Heather L Kimmel,Amy Pienta
Kathy Etz
Sharing data produced through health research projects has been increasingly recognized as a way to advance science more rapidly by facilitating discovery and increasing rigor and reproducibility. Much of the data collected from human subje...
CONSISTENT SPECTRAL CLUSTERING OF NETWORK BLOCK MODELS UNDER LOCAL DIFFERENTIAL PRIVACY [0.03%]
具有本地差分隐私属性的网络块模型的一致谱聚类算法研究
Jonathan Hehir,Aleksandra Slavković,Xiaoyue Niu
Jonathan Hehir
The stochastic block model (SBM) and degree-corrected block model (DCBM) are network models often selected as the fundamental setting in which to analyze the theoretical properties of community detection methods. We consider the problem of ...
A Adam Ding,Guanhong Miao,Samuel S Wu
A Adam Ding
Privacy protection is an important requirement in many statistical studies. A recently proposed data collection method, triple matrix-masking, retains exact summary statistics without exposing the raw data at any point in the process. In th...
Samuel S Wu,Shigang Chen,Deborah Burr et al.
Samuel S Wu et al.
A major obstacle that hinders medical and social research is the lack of reliable data due to people's reluctance to reveal private information to strangers. Fortunately, statistical inference always targets a well-defined population rather...
Caroline Uhlerop,Aleksandra Slavković,Stephen E Fienberg
Caroline Uhlerop