The FAIR Island

Project

Real-world examples of FAIR and CARE at field stations

The relationship between people, place, and data underpins some of the greatest challenges, and opportunities, of the 21st century. Relationships between human communities and their natural and built environments are increasingly mediated through digital data. In addition, there has been general enthusiasm for, and work towards Findable, Accessible, Interoperable, and Reusable (FAIR) data for Open Science.

The FAIR Island Project translates FAIR Data Principles (Wilkinson et al., 2016) and the CARE Principles for Indigenous Data Governance (Carroll et al., 2020) into practice for scientific field stations through the development of place-based data policies and critical research infrastructure centered on machine-actionable data management plans.

About the Project 

Using working field stations that are linked to a range of international research networks in marine and terrestrial environments, the Project builds interoperability between pieces of critical research infrastructure

Field Station FAIR & fair Toolkit

Building on experience with the Tetiaroa Ecostation, we have developed a toolkit which includes a generic place-based data policy for reuse and modification at other sites, details on sharing projects and more.

Researcher Guidance

The FAIR Island Project provides research guidance on using identifiers like ORCiDS for peoples, linking DMPs to projects, and sharing research outputs back to the field station.  

Integrate with Existing Infrastructure

Integration with other systems is a core requirement and scalable benefit of the Project. These PID connections facilitate further development of the DataCite Commons interface as a field station dashboard. Additional social network analysis is also possible. 

Participating Field Stations

The FAIR Island Project started as a partnership between the California Digital Library (CDL), the University of California, Berkeley, Gump South Pacific Research Station and the Tetiaroa Society’s Ecostation.

coral with black and white striped fish

Tetiaroa Ecostation

Tetiaroa, French Polynesia

Gump field station

Gump South Pacific Research Station

Moorea, French Polynesia

a bird in flight over island

Interested Field Stations? 

If your site is interested in collaborating please send us an email at info at fairisland.org.

Recent Outputs

Here are some of our recent activities. Find all of our published outputs in our Zenodo community

(Publication) A Programmatic and Scalable Approach to making Data Management Machine-Actionable

Praetzellis, M., Buys, M., Chen, X., Chodacki, J., Davies, N., Garza, K., … Robinson, E. (2023). A Programmatic and Scalable Approach to making Data Management Machine-Actionable. Data Science Journal22(1), 26. https://doi.org/10.5334/dsj-2023-026 

(Publication) FAIR Island: real-world examples of place-based open science

Erin Robinson, Matthew Buys, John Chodacki, Kristian Garzas, Steven Monfort, Catherine Nancarrow, Maria Praetzellis, Brian Riley, Sarala Wimalaratne, Neil Davies, FAIR Island: real-world examples of place-based open science, GigaScience, Volume 12, 2023, giad004, https://doi.org/10.1093/gigascience/giad004

iPlaces Tetiaroa MVP

10.5281/zenodo.12571688
A minimum viable product example of a field station journal. It highlights recent scientific, legal and cultural work going on at the field station. Blog describing this work. 

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...
Gigascience webpage

(Project Output) FAIR Island: real-world examples of place-based open science

We are excited to announce that our first paper from the FAIR Island Project was published on March 23. This paper summarizes the FAIR Island concept and some of our initial experiments.  Erin Robinson, Matthew Buys, John Chodacki, Kristian Garzas, Steven Monfort,...

Generic Data Policy V1.0 Release and Github/Zenodo Workflow

 After more than a year of community consultation and feedback, the FAIR Island Project team published the first official release of the Generic Place-based Data Policy to Zenodo. The Generic Place-based data policy is a template derived from the draft Tetiaroa...

Provide Data Policy Feedback with Hypothes.is

Several weeks ago we posted about the migration of our data policy work from Google Docs to Github. With that migration we began to use Github issues for both repos that hosted the Generic Data Policy and the draft Tetiaroa Data Policy. This was great - it allowed us...
FAIR Island Newsletter - Project 1

Project Newsletter #1

We just sent our first project newsletter! Below is a quick blurb and to read the full thing, check out this link. To be on the list to get these quarterly updates moving forward click subscribe at the bottom of the page. Thanks for following along!Hello from the FAIR...

Stay in touch

There are lots of ways to support the FAIR Island Project. We are looking to integrate with existing infrastructure projects to show the power of reuse. We love working with students to provide a real-world project to learn from. We are also actively looking to expand the field sites that we work with. If any of this sounds interesting, please connect! 

ten people standing around a boat in shallow water

Contact Us

Questions, comments, or advice?
info@fairisland.org

Join the FAIR Island Newsletter

Legal Disclaimer

Privacy Policy | Accessibility 

Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 4.0 International license.