1. Adoption Update: Opening up Northern Forest Research Data
James Duncan, Mike Finnegan, Jennifer Pontius
9/16/2016

2. Ecosystem Monitoring Collaborator Network Data Archive, Access and Integration
We take this holistic ecosystem approach to monitoring changes in forest condition

3. With Many Disciplines, Many Contributors, Many Users…
Monitoring Research
Because we are seeking to develop the clearest picture of change over time, we have to utilize all dat astreams – monitoring, research, and other sources.
Allows us to capture a lot of Dark Data, but means an incredibly complex group of contributors and users

4. … Ownership, Access and Usability Are Critical
So that policy makers, land managers and researchers can utilize
This made the adoption of RDA recommendations particularly attractive.
Providing a way to cite and version data and enrich the metadata we’ve already developed, and doing it in a way that any dataset manager can access, will provide a lot of new power to users, and by extension to our community.
Vermont Public Radio
Vermont Audubon Society

5. Adoption Seed Funding
Implement the Data Types Registry recommendations on top of existing attribute metadata system
Implement the Dynamic Data Citation recommendations, a new development within our catalog.

6. Data Types Registry – Why We Need It
Discoverability and dataset traversal
Semantic clarity and rigor
Standardization
Unit/Concept Definition
Transformations
Spelling
More rigorous and nuanced than EML

7. Dynamic Citation - Why We Need It
Continually evolving datasets
Some errors not caught till next field season
Frequent reporting and publishing

8. Adoption Approach Pre-implementation Testing Implementation
Regional Data Ingest Workshops and Post-Implementation Testing

9. Adoption Overview Implement Data Types Registry Recommendation
Implement Dynamic Data Citation Recommendation
Conduct pre and post implementation testing groups
Outreach to present the benefits of the work to others

10. Implementation Challenges
Data Type Registry
Generically address dimensionless concepts
Limiting entries to avoid clutter
Governance of the ENRICH DTR
Dynamic Citation
Result uniqueness and normalizing queries
Re-creation of past versions, in terms of garbage collection and storage

11. Exciting Surprises But the best is yet to come…
Immediate new pathway to traverse datasets
Recommendation work synergies
Insights from other adopters
Straight-forward, rapid integration with powerful knock-on results
And even being here, seeing the myriad ways that the data citation recommendation could be extended into other technical patterns coming out of RDA is heartening, that our adoption doesn’t have to stop here
But the best is yet to come…

12. Acknowledgments
Adoption seed funding - MacArthur Foundation and the Research Data Alliance
The US Forest Service State and Private Forestry program for core operational funding of the VMC
Fran Berman, Yolanda Meleco and the other adopters who have been sharing their experiences.
All the VMC cooperators that contribute

13. Thank you!

14. Data Types Registry – Status of Adoption
Completed
Pending
Data Type Registry updated to match VMC needs
Database schema upgraded
Related DTR PIDs to field metadata
Related dataset traversal
More robust dataset discovery/recommend ation
Improved UI
Governance methodology
based on DTR Unit/Concept relationship

15. Dynamic Data Citation – Status of Adoption
Completed
Pending
Database schema
Portal UI
Web-based data editing
Version minting
Version re-creation
Web-based data editing validation
DOI minting integration
Front-end interaction