Last week, more than 200 participants from around the world gathered to learn about, discuss, and improve Harvard’s own open-source research data repository software, Dataverse. Dataverse is developed at the Institute for Quantitative Social Science (IQSS) and used by researchers and journals at Harvard University and beyond to archive, share and receive credit for data. At the 2017 Dataverse Community Meeting, attendees and speakers from over 60 universities and other research organizations convened to discuss and address subjects such as data sharing, reproducibility of research, the data lifecycle, and integrating Dataverse with visualization tools, computational resources, and expanded data storage options.

Collaborative coding at the 2017 Dataverse Community Meeting Hackathon. Photo by Dwayne Liburd

“Why do we organize an annual Dataverse Community Meeting? The community is key to any open-source project such as Dataverse,” said Mercè Crosas, Chief Data Science and Technology Officer at IQSS. “For a true open-source project to be successful, the community must feel ownership of the project, and thus be empowered to actively contribute and drive changes. We share a common vision and motivation: to make data sharing a regular practice to enable reuse and reproducibility. It’s about working together to build the tools, incentives, and standards that will make that possible for years to come.”

From June 14–16, Dataverse’s broad, worldwide community came together to hold presentations, hands-on workshops, panels, and a hackathon where Dataverse’s software development team collaborated with attendees to make direct fixes and additions to the software’s code.

Read the full article on the Dataverse Project Blog.

 

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