Award Abstract # 2132549
EAGER: The FAIR Island Project for Place-based Open Science

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Initial Amendment Date: June 30, 2021
Latest Amendment Date: June 30, 2021
Award Number: 2132549
Award Instrument: Standard Grant
Program Manager: Plato Smith
plsmith@nsf.gov
 (703)292-4278
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: July 1, 2021
End Date: June 30, 2024 (Estimated)
Total Intended Award Amount: $296,234.00
Total Awarded Amount to Date: $296,234.00
Funds Obligated to Date: FY 2021 = $296,234.00
History of Investigator:
  • John Chodacki (Principal Investigator)
    john.chodacki@ucop.edu
  • Neil Davies (Co-Principal Investigator)
  • Erin Robinson (Co-Principal Investigator)
  • Matthew Buys (Co-Principal Investigator)
Recipient Sponsored Research Office: University of California, Office of the President, Oakland
1111 FRANKLIN ST FL 8
OAKLAND
CA  US  94607-5201
(510)987-9850
Sponsor Congressional District: 12
Primary Place of Performance: University of California, Office of the President, Oakland
1111 Franklin Street
Oakland
CA  US  94607-5200
Primary Place of Performance
Congressional District:
12
Unique Entity Identifier (UEI): PKK5TD16N4H1
Parent UEI:
NSF Program(s): NSF Public Access Initiative
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7916
Program Element Code(s): 741400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

This exploratory project will test FAIR (Findable, Accessible, Interoperable, and Reusable) data principles for Open Science purposes in a comprehensive manner for field station data gathering on the Pacific atoll of Tetiaroa. This project is a timely opportunity to leverage the new field station on the atoll of Tetiaroa which has close ties to U.S. institutions through the University of California, including a nearby NSF Long Term Ecological Research (LTER) site, as well as international research programs.

Place-based data have a unique quality in that they span the sciences and humanities with time and space (geolocation) acting as foundational metadata used to assign data to ?place? (or nested ?places?). The FAIR Island Project will build interoperability between pieces of critical research infrastructure -- Data Management Plans (DMPs), research practice, DOIs, and publications contributing to the advancement and adoption of Open Science.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Praetzellis, Maria and Buys, Matthew and Chen, Xiaoli and Chodacki, John and Davies, Neil and Garza, Kristian and Nancarrow, Catherine and Riley, Brian and Robinson, Erin "A Programmatic and Scalable Approach to Making Data Management Machine-Actionable" Data science journal , v.22 , 2023 https://doi.org/10.5334/dsj-2023-026 Citation Details
Robinson, Erin and Buys, Matthew and Chodacki, John and Garzas, Kristian and Monfort, Steven and Nancarrow, Catherine and Praetzellis, Maria and Riley, Brian and Wimalaratne, Sarala and Davies, Neil "FAIR Island: real-world examples of place-based open science" GigaScience , v.12 , 2023 https://doi.org/10.1093/gigascience/giad004 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The FAIR Island Project has significantly improved field station data management and research practices over the past three years. Here are the key outcomes:
Developed Place-based Data Policies
We created and refined a place-based data policy for Tetiaroa Ecostation, which set clear data management and compliance expectations. This policy was also adapted into a generic version for other field stations, downloaded over 100 times on Zenodo. To support the adoption of these policies, we developed a comprehensive toolkit, including templates and guides for field station administrators. These resources have empowered field stations to effectively manage their data, ensuring it adheres to FAIR principles (Findable, Accessible, Interoperable, and Reusable).
Advanced the use of Data Management Plans (DMPs)
The DMPTool was enhanced to meet the specific needs of field stations, such as adding a contributor-type sponsor to the template to link the DMP to the field station. We made it mandatory for all projects at the field station to have a DMP. By integrating the DMPTool with platforms like Zenodo and DataCite, we improved data tracking and compliance, ensuring that research outputs are properly documented and accessible. This integration also facilitated better monitoring and reporting, providing a clear overview of ongoing projects and their data management status.
In conclusion, the FAIR Island Project has set a new standard for data management at field stations, fostering a culture of open science and ensuring that valuable research data is preserved and shared in a manner that maximizes its impact and utility. Our work has not only benefited Tetiaroa Ecostation but has also provided a model that can be replicated by other field stations globally.


Last Modified: 07/26/2024
Modified by: John Chodacki

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