“Making Research Transparent and Reproducible,” Florio Arguillas, Cornell University

ISPS POLICY LAB TALK ON RESEARCH REPRODUCIBILITY

Replication of results is a core requirement of the scientific method. Satisfying this requirement becomes increasingly complex when data from disparate sources is integrated and reused. While code used for analysis of data must be verified, it is also imperative that code and processes used to clean, integrate and harmonize data be documented and verified. This can be time-intensive and intimidating, especially for individual researchers seeking to openly share their work. Workshop participants will be introduced to CISER’s Reproduction of Results Service workflow which incorporates the Teaching Integrity in Empirical Research (TIER) Protocol.

Florio Arguillas is a Research Associate at the Cornell Institute for Social and Economic Research (CISER). Florio conducts workshops and works with individual researchers at Cornell on the management and processing of qualitative and quantitative data, stewardship of private or confidential data, and the use of statistical software packages. As a consultant with the Research Data Management Service Group, he helps researchers develop data management plans and access the services necessary to implement them. Florio established CISER’s Data Curation and Reproduction of Results Service, or R2, which allows researchers to submit their data and code to CISER prior to manuscript submission for appraisal, curation, and replication by CISER data curation and computing experts. He also co-founded Curation for Reproducibility (CURE), a consortium of Cornell, Yale, and the University of North Carolina, that promotes workflows and documentation methods that enhance the reproducibility of statistical research. As a TIER Fellow, Florio incorporates the TIER Protocol in the trainings on Research Transparency and Reproducibility that he conducts for several cohorts of Cornell graduate students every year. Florio earned an A.B. in Economics at the Ateneo de Davao University, an M.A. in Demography at the University of the Philippines-Diliman, and both an M.S. and Ph.D. in Development Sociology at Cornell University.

Sponsored in cooperation with the Institution for Social and Policy Studies, the Stat Lab, the Center for Science and Social Science Information, and the Center for Research Computing at Yale University.

This event is recommended to Yale faculty, postdocs, graduate students, and undergraduate students in the social sciences.