[118] Dataverse: an Open-Source Platform for Research Data

Join our Meetup group: https://www.meetup.com/data-umbrella # Dataverse: an Open-Source Platform for Research Data ## Alternate Titles - The Dataverse Project and the Global Dataverse Community Consortium. An Open-Source Platform and Global Community for Research Data ## Timestamps 00:00 Data Umbrella introduction 04:22 Dataverse presentation begins 04:41 Agenda (Five main items) 05:13 The Dataverse Project (background, goals, and timeline) 06:12 FAIR guiding principles 06:46 Research Data Sharing and the Repository Ecosystem 10:29 Connecting research objects in the scholarly ecosystem 10:52 The Dataverse in Practice (repository platform, integrations, APIs) 12:15 pyDataverse 13:21 Dataverse AI-Related Resources, Tools & Projects 13:54 Harvard Dataverse Repository 19:09 Dataverse features: new or coming soon 20:47 Global Dataverse Community Consortium (GDCC) 21:45 GDCC’s range of community services and activities 27:36 Challenges in the Dataverse and GDCC communities, the bright side 30:04 Addressing the challenges with a working group, 10 recommendations for sustainable growth 31:19 Resources 31:30 Q&A - How are FAIR guidelines implemented when a project is submitted to the repository? 33:58 Q&A - What is the difference between the Dataverse and CKAN? 36:30 Q&A - How are data standards being considered? 40:47 Q&A - What is the most significant development need for the project? 43:54 Q&A - What are some success stories? 49:50 Q&A - What repositories of genetic and metabolic data are available? 53:10 Q&A - Are there initiatives around installation location diversity? 56:36 Q&A - Is Dataverse use impacted by internet access? 59:40 Q&A - What was the experience during and post-COVID? ## Resources - Slides: https://dataverse.org/publication/dataverse-project-and-global-dataverse-community-consortium-fair-open-source-platform - Dataverse website: https://dataverse.org/ - FULL LIST of resources: https://github.com/data-umbrella/event-transcripts/blob/main/2026/118-dataverse.md#resources ## About the Event Research data is foundational to data science, analytics, and research across disciplines—but sharing, preserving, and reusing data effectively remains a challenge. In this Data Umbrella webinar, speakers from the Dataverse Project and the Global Dataverse Community Consortium (GDCC) will introduce Dataverse, a widely used, open source research data repository platform that supports the FAIR Guiding Principles. Dataverse enables researchers and institutions around the world to publish, preserve, cite, and reuse research data across disciplines. The session will begin with an overview of what research data is, why sharing it matters, and how research data repositories fit into today’s data ecosystem. The presenters will then introduce the Dataverse software platform, highlighting key features such as data citation, metadata, versioning, APIs, and integrations that support reproducible and reusable research. The webinar will also spotlight the global Dataverse community and the role of the GDCC in coordinating collaboration, governance, and sustainability. Attendees will learn about community working groups, annual Dataverse Community Meetings, and regular community calls—low‑barrier ways for newcomers and experienced users alike to get involved. This session is designed for: - Data scientists and analysts - Researchers and students - Librarians, data stewards, and repository managers Anyone interested in open science, open source, and research data infrastructure Whether you are looking to find and reuse high‑quality research data, share your own datasets, or contribute to an open source global community, this webinar will provide a practical and community‑focused introduction to Dataverse. ## About the Speaker(s) [1] Ceilyn Boyd - GitHub: https://github.com/cmbz - LinkedIn: https://www.linkedin.com/in/ceilyn-boyd-08b868a/ [2] Philipp Conzett - GitHub: https://github.com/philippconzett - LinkedIn: https://www.linkedin.com/in/philippconzett/ [3] Sonia Maria Barbosa - GitHub: https://github.com/sbarbosadataverse - LinkedIn: https://www.linkedin.com/in/soniamariabarbosa/ #opendata #opensource #data