Harvard Data Commons Project
An ecosystem of integrated tools for research data
Mission & Vision
The vision of the Harvard Data Commons is to improve the researcher experience by automating the flow of research data from research computing environments to management, publication, discovery, and preservation environments, which will result in an increased ability to meet sponsor requirements for data integrity, data provenance, and the reproducibility of research.
Project Background
Since 2019, a collaborative team from divisions and schools across Harvard has been pursuing the idea of a Data Commons to support the lifecycle of research at Harvard. We are currently building a small proof of concept or “Harvard Data Commons Minimum Viable Product (MVP)” using internal capital funding to start connecting key systems in the research data lifecycle.
The Harvard Data Commons MVP initiated its work in July 2021 and is executing its three primary objectives:
Objective 1
Automating the technical pipeline between the research computing infrastructures and Dataverse.
Objective 2
Enhancing Dataverse to support machine-actionable workflows of various types.
Objective 3
Automating connections between key research and library systems used for archiving and publication
In addition to the 8 members of the Harvard Data Commons leadership team, there are an additional 24 staff from across Harvard contributing to the effort in one way or another, making this an inspiring and true cross-institutional collaboration.
Resources
Briefings & Presentations
Workshop Materials
Harvard Data Commons
Project Briefing
HUIT Tech Talk
by Mercè Crosas
Harvard Data Commons Workshop Slides
Workshop Recording, Transcript, and Zoom Chat
People
Leadership Team
Bill Barnett
Senior Director for Research Computing | Harvard Medical School
Paul DiBello
Senior Director, Research Computing Services | Harvard Business School
Emre Keskin
University Research Data Officer | Harvard University Information Technology (HUIT)
Stefano Iacus
Director of Data Science and Product Research | The Institute for Quantitative Social Science
Ardys Kozbial
Assistant University Librarian for Content Strategies and Associate Librarian for Faculty of Arts and Sciences | Harvard Library
Stuart Snydman
Associate University Librarian and Managing Director Library Technology Services | Harvard University Information Technology (HUIT)
Len Wisniewski
Director of Engineering | The Institute for Quantitative Social Science
Scott Yockel
University Research Computing Officer | Harvard University Information Technology (HUIT)
Project Sponsorship, Leadership, and Objective Teams
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