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EAGER: The FAIR Island Project for Place-based Open Science

Authors: Praetzellis, Maria; Chodacki, John; Davies, Neil; Robinson, Erin; Buys, Matthew; Nancarrow, Catherine;

EAGER: The FAIR Island Project for Place-based Open Science

Abstract

National Science Foundation EAGER grant proposal. PIs: John Chodacki (Principal Investigator), Neil Davies (Co-Principal Investigator), Erin Robinson (Co-Principal Investigator), Matthew Buys (Co-Principal Investigator). 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.

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Keywords

open science, research data management, data management plan

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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