Trusted Data: Progress

Project Timeline

November 2025

Since the project began in August 2025, the Dataverse team has collected and analysed functional and metadata requirements from use case partners, New York University, and the University of North Carolina, and achieved several milestones:

• Trusted Reviews. We developed and introduced a new research type, Trusted Reviews, that connects a community's trust metadata and assessment scores to the specific dataset or other resource the community has reviewed. Trusted Reviews support custom metadata and documentation, appear in Harvard Dataverse Repository searches, have persistent identifiers (e.g., digital object identifiers), can be exported from or harvested from Harvard Dataverse, and can be grouped into Dataverse collections. The Trusted Review functionality extends Dataverse's underlying support for different resource types, including research datasets, computational workflows, software, and documents.
• Design, Development, and Prototyping. We identified an appropriate DataCite resourceType, relation types, and a suitable schema.org metadata category for Trusted Reviews. We also developed and demoed a prototype of the Trusted Review functionality, identified implementation strategies, and began design work for the Trusted Review user interface in Harvard Dataverse.
• Assessment scenarios. We identified scenarios for allowing community members to assess resources, including methods for collecting and tabulating assessments and assigning final trust metadata scores.
• Hosting policies. We began to develop policies for hosting Trusted Reviews on the Harvard Dataverse Repository.

Read our full report here: November 2025 Progress Report.