The Dataverse Community Meeting, hosted by Harvard’s Institute for Quantitative Social Science, welcomes researchers, librarians, publishers, developers and anyone interested in data sharing or building repositories.
The Dataverse Project has a growing and active community of users and developers and is now a mature repository software used to share and archive research data. Learn more about the project at our dataverse.org site.
#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.
Highlights
June 14: Pre-Meeting Workshops
Morning
- IQSS Workshop: Best practices for building social science R packages
- Dataverse User Training Workshop
- Dataverse Development Workshop
Afternoon
- Dataverse Development Workshop
- Data-PASS Workshop: Evolving Practices for Data Management and Sharing (by invitation only - if interested, please contact the organizers)
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?" with Phil Bourne, Rick McCullough, Barbara Bierer, and Josh Greenberg. More >
June 16: Day 2 Dataverse Community Meeting
Keynote address by Victoria Stodden on "Toward a Reproducible Scholarly Record"
Followed by a panel discussion on "Reproducibility and Data Sharing" with Victoria Stodden, Margo Seltzer, and Thomas Leeper. More >
Register for the Dataverse Community Meeting on June 15th and 16th and/or for the workshops on June 14th here:
Register Now!
Would you like to bring a poster? Follow instructions here.