By Merce Crosas – Harvard University
A critical element of Open Science is open access to research data and code. Successful implementation of widely used solutions for sharing open data must combine technology, standards, and incentives. For the last 15 years, the Dataverse project has focused on these three aspects to enhance research data sharing and enable access to tens of thousands of research datasets around the word. Currently, the Dataverse project is working to add two crucial components to continue supporting open science: 1) sharing code associated with the data and reproducible packages to verify scientific results, and 2) standardized data policies and differential privacy features to enable sharing and analysis of sensitive data. This talk will summarize the achievements made so far and outline the future improvements.
Mercè Crosas is Harvard University’s Research Data Officer, with Harvard University Information Technology (HUIT), and Chief Data Science and Technology Officer at Harvard’s Institute for Quantitative Social Science (IQSS).
In her role at HUIT, Dr. Crosas provides leadership to mature Harvard’s data management and governance practices. She works in close collaboration with key constituencies in Research, Information Technology, and the Library to coordinate support for the data lifecycle and guide university policy, process, and procedures for research data. Dr. Crosas brings to this role a wealth of experience in data management architecture and international community data standards as well as the vision to make data more accessible for research while preserving privacy.
- Time and place: from 4 pm, BC420, EPFL