Notes from the FAIR Island Project
Key Outcomes & Updates from Year 3
Summary of Highlights and Outcomes for Year 3 of the NSF Project "EAGER: The FAIR Island Project for Place-based Open Science" Major Goals of the Project Develop and iterate on an exemplar place-based data policy. Adapt and prove the capabilities of networked Data...
Call for AGU Abstracts for: IN19 Curating and Interconnecting Persistent Identifiers for Better Research and Funder Mandates
FAIR Island team members, John Chodacki and Erin Robinson, are excited to co-convene this upcoming session. The FAIR Island project is one example of the power of PIDs to comply with research and funder mandates. If you work in this area, please consider submitting an...
The Power of Machine Actionable DMPs
The quick video above shows the DataCite Commons page for the FAIR Island EAGER Data Management Plan. Over the life of our project we followed the suggested practice of referencing our own DMP. Figure 1 shows the links showing up organically on the DMP page. Figure 1....
Field Station Journal MVP
This is our first field station journal, iPlaces Tetiaroa and the first edition of the journal, an MVP. It brings together the tremendous effort of scientists, the Tetiaroa Ecostation staff and the Tetiaroa Society to highlight some of the incredible work happening on...
New Publication: A Programmatic and Scalable Approach to making Data Management Machine-Actionable
Praetzellis, M., Buys, M., Chen, X., Chodacki, J., Davies, N., Garza, K., Nancarrow, C., Riley, B. and Robinson, E. (2023) ‘A Programmatic and Scalable Approach to making Data Management Machine-Actionable’, Data Science Journal, 22(1), p. 26. Available at:...
Key Outcomes & Updates from Year 2
Summary of Highlights and Outcomes for Year 2 of the NSF Project "EAGER: The FAIR Island Project for Place-based Open Science" Major Goals of the Project Develop and adopt a place-based data policy for Tetiaroa Ecostation and create a generalized data policy for other...
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