Adopting Dataverse at the Qualitative Data Repository

Adopting Dataverse at the Qualitative Data Repository
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The process of incorporating Dataverse into the Qualitative Data Repository, featuring insights on the significance of QDR, annotations as data, and evaluation criteria for selecting a data platform. Learn about the considerations, implementation steps, and future outlook in enhancing data management capabilities within research settings.

  • Data repository
  • Qualitative data
  • Dataverse
  • Annotations
  • Evaluation criteria

Uploaded on Mar 18, 2025 | 0 Views


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  1. Adopting Dataverse at the Qualitative Data Repository Nic Weber and Sebastian Karcher, QDR

  2. What Is QDR?

  3. Annotations as Data https://qdr.syr.edu/discover/projectcontentherrera

  4. Why Consider Dataverse

  5. Evaluation 11 criteria Criteria Fed DV CKAN Explanation Platform can achieve all of current QDR functionality, and all of specifications from QDR 2.0 document; can be used across different development, testing and production environments. Functionality 5 5 5 Ability for the repository to scale to manage large and heterogeneous collections of digital objects Scalability 5 5 5 Ability to integrate external tools with the repository in order to extend the functionality of the repository (e.g. APIs, OSS, etc.) Extensibility 3 3 5 Ability to interoperate with other repositories -, those included in the Data Pass initiative, and to have content harvested by DPN. Interoperability 5 5 5 Platform can be developed / maintained by our current team, or has requirements that we can affordably recruit from existing developer pool. Labor Force 0 3 5 Initial installation and ease of integration with other needed software. Ease of deployment 3 5 5 Ability of the system to meet QDR + Syracuse security requirements. System security 5 5 5 Ability to deploy multiple instances for offsite and disaster recovery; ability to interface with AWS. System back-ups 5 5 3 In academic settings, or other scholarly communication venues. Demonstrated successful deployments 5 5 5 Quality of documentation and responsiveness of support staff or developer/user community (open source) to assist with problems. System support 5 5 3 Reliability and support track record of the company providing the software; or size, productivity, and cohesion of the open source developer community. Strength of development community 3 5 3

  6. Evaluation How? Interviews with other repositories Documentation Trial Install (Vagrant)

  7. Towards Initial Implementation Simple SAML Authent ication Authent ication Existing Userbase

  8. Outlook Annotations as Data (Open Annotations) Multi-media File Preview Granular Data (Paragraphs, Timestamps, Image Locations)

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