DataTags in Dataverse

Slides Available Here

Abstract: The DataTags system classifies and standardizes sensitive data by using a set of DataTags levels that assign security and access requirements to the data, from no requirements for non-sensitive data to maximum restrictions for very high sensitive data. This Talk presents how the DataTags system is integrated with the Dataverse repository to enable depositing, access, and archiving of sensitive data.

Bio: Mercè Crosas is the Chief Data Science and Technology Officer at the Institute for Quantitative Social Science (IQSS) at Harvard University. She has more than 10 years of experience leading the Dataverse project and more than 15 years of experience building data management and analysis systems in academia and biotechnology companies. She is part of numerous committees and working groups focused on research data management, data citation, and data standards. Crosas is co-PI of the Dataverse Project, with IQSS director Gary King, and supervises the Zelig project for statistical analysis, the Consilience project for text analysis, and the Data Science Services and Data Curation teams at IQSS. She collaborates with a wide range of data related projects, including the Harvard Privacy Tools, DataTags, Data Provenance, the Structural Biology Grid Data, Cloud Dataverse with the Massachusetts Open Cloud, and the Boston Area Research Initiative, among others. Crosas holds a Ph.D. in Astrophysics and a B.S. in Physic. Learn more at and @mercecrosas on Twitter.