Susan Hautaniemi Leonard

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I am faculty at ICPSR, the largest social science data archive in the world. I manage an education research pre-registration site (sreereg.org) that is focused on transparency and replicability. I also manage a site for sharing work around record linkage, including code (linkagelibrary.org). I am involved in the LIFE-M project (life-m.org), recently classifying the mortality data. That project uses cutting-edge techniques for machine-reading handwritten forms.

Mortality rates for selected causes in the total population per 1,000, 1850–1912, Holyoke and Northampton, Massachusetts

Amy Pienta

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My research at ICPSR is developing ingest and curation workflows for new data types (including EEG) to ensure these data are Findable, Accessible, Interoperable, and Reusable (FAIR) within data repositories.

My funded projects and programs:
National Addiction and HIV Data Archive Program (NAHDAP) funded by the National Institute on Drug Abuse (NIDA)
Health and Medical Care Archive funded by Robert Wood Johnson Foundation (RWJF)
Archive of Data on Disability to Enhance Policy and research (ADDEP) funded by NIH

John E Marcotte

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John E. Marcotte, PhD is a statistician and data security expert. His research concerns data sharing, data security, data management, disclosure, health policy, nursing staffing and patient outcomes. He has over 25 years of experience implementing computing systems and performing quantitative analysis. During his career, Marcotte has served as a quantitative researcher, biostatistician, data archivist, data security officer and computing director. Among Marcotte’s statistical fortes are linear and logistic regression, survival analysis and sampling while his computing specialties include secure systems, high performance systems and numerical methods. He has collaborated with social and natural scientists as well as nurses and physicians. Marcotte regularly presents at professional conferences and contributes to invited panels on data security and disclosure. He has formal training in Demography, Statistics and Computer Science.

Research Data Security Options