#Dataverse2017: Dataverse and the Data Lifecycle
During the third Dataverse Community Meeting, members of our community explore how Dataverse continues to grow as an integral part of the data lifecycle, with talks that include a broad range of topics: managing data with Dataverse institutional data repositories, supporting large scale data, integrating data sharing with computing and with tools that help reproducible research, and connecting data to scholarly and other research outputs.
June 14: Pre-Meeting Workshops
- IQSS Workshop: Best practices building social science R packages
- Dataverse User Training Workshop
- Dataverse Development Workshop
- Data-PASS Workshop: Evolving Practices for Data Management and Sharing
June 15: Day 1 Dataverse Community Meeting
Keynote address by Phil Bourne on "Are Funders and Academic Institutions Approaches to Data Science Aligned?"
Followed by a panel discussion on "How Can Funders and Academic Institutions Incentivize Data Sharing?" More >