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Using the Dataverse Network: How to Archive your Research Outputs

Course Bandwidth:

Medium

Brief Description:

Research & Metrics will adopt the Dataverse Network, a project of Harvard University's Institute for Quantitative Social Science, to archive and share research outputs. This course will guide researchers through the process for archiving their research outputs in a Dataverse, ensuring that it can be shared with internal and external stakeholders. This course will also demonstrate how research outputs are checked for quality, and how the Dataverse Network will improve upon current R&M processes.

Course Details:

Rating:

3.5
Average: 3.5 (2 votes)

Language of Course:

English

Provider:

PSI Research & Metrics

Competency:

Act with Long Term Perspective
Communicate and Share Information
Manage Complexity
Plan and Organize
Solve Problems

Course Category:

PSI-Specific

Time To Complete:

22 minutes

Target Audience:

Local research teams, research managers, research advisors, Regional Researchers

Skills:

Be able to contribute a research study to a Dataverse, including cataloging information and documentation
Understand how to ensure a quality contribution to a Dataverse
Identify ways that the Dataverse Network will improve our partnerships with external stakeholders
Improve upon current document archiving system by using the DVN as a primary archiving system