Proposal: Supporting Multiple Dataset Types in Dataverse

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Purpose

• This proposal describes a process for designing and implementing support for research objects in Dataverse software. Research objects are mechanisms for associating "elated resources about a scientific investigation so that they can be shared using a single identifier." (Wikipedia)
• Research objects will be expressed as different Dataverse dataset types.

Timeline

See proposal

Release 6.2

• Design. Discuss the General Technical Approach at one or more Dataverse Tech Hours involving the Dataverse Team and other key stakeholders
• Create Implementation Plan. Define the components of the proposed Incremental Development approach that addresses additional requirements and considerations and mitigates potential risks)
• Create and Size Issues. Create Github issues in the dataverse repo to implement the proposed incremental development approach
• Prioritize and Schedule Issues. Collaborate with others to schedule issues in an upcoming Release Plan
• Begin Development of the Initial Issues (listed below)
• Complete Development

Release 6.3

• Prioritize and Schedule Remaining Issues
• Complete Development of Remaining Issues
• Activate Research Object Support in Harvard Dataverse
• Assess implementation. Test the implementation in Harvard Dataverse with a relevant use case, such as Computational Workflows

Participants

• Lead: @qqmyers
• Dataverse team

Resources

• Proposal: Supporting Multiple Dataset Types in Dataverse

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Status: April 2024

• Proposal was finalized in February 2024
• Creation of related issues is pending

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Closed as complete