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

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

7. Towards Initial Implementation
Simple SAML
Authentication
Authentication
Existing Userbase

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