FAIR Data Primer for Data Producers

Audrey Mickle; Danie Kinkade; E. V. Satterthwaite; H. M. Benway; Angelicque White; Justin Buck; Pier Luigi Buttigieg; Kim Currie; Dana Gerlach; Rut Pedrosa Pàmies; Nico Lange; Frank Muller-Karger; Todd O’Brien; Margaret O'Brien; Fernando C. Pacheco; Albert Plueddemann; Adam Shepherd; R. Somavilla

doi:10.5281/zenodo.18756285

February 24, 2026Open Access

FAIR Data Primer for Data Producers

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Key Points

The aim is to educate data producers about FAIR data principles and their importance for time series datasets.
Developed a comprehensive framework explaining FAIR data principles.
Identified roles of researchers and repositories in data production.
Presented best practices for improving data findability and interoperability.
Clarified essential concepts of FAIR data for time series.
Outlined specific roles of researchers in making data more accessible.
Promoted the use of repositories to enhance data reusability.

Implication

This primer outlines the key concepts of FAIR data and roles in enhancing time series datasets, suggesting improved practices.

Abstract

A FAIR Data (Findable, Accessible, Interoperable, and Reusable Data) primer for Time Series Data Producers laying out the fundamental concepts of FAIR data and the roles that researchers and repositories play in the creation of more FAIR data for Time Series datasets.

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Cite This Study

Mickle et al. (2026) studied this question.

synapsesocial.com/papers/699fe3af95ddcd3a253e7ba7 https://doi.org/10.5281/zenodo.18756285

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FAIR Data Primer for Data Producers

Key Points

Implication

Abstract

Discussion

Cite This Study

FAIR Data Primer for Data Producers

Key Points

Implication

Abstract

Discussion

Cite This Study

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