AutoGeoFAIR: A framework for evaluating the sharing degree of open earth surface system data based on extended FAIR...

Area of Science:

• Earth Surface Systems science
• Data Science
• Information Science

Background:

• Openly accessible Earth Surface System (ESS) data is rapidly increasing across diverse web platforms.
• This data is often dispersed, multi-sourced, heterogeneous, and multi-modal, presenting challenges for evaluation.
• Existing data sharing evaluation frameworks are not optimized for the complexities of ESS data.

Purpose of the Study:

• To develop an evaluation tool specifically for assessing the sharing degree of open ESS data.
• To address the need for rapid and quantitative evaluation of ESS data sharing.
• To improve researchers' access to highly shared and valuable ESS datasets.

Main Methods:

• Developed an ESS-oriented evaluation tool incorporating an evaluation metric system and model.
• Formulated a sharing degree assessment index based on FAIR principles (Findable, Accessible, Interoperable, Reusable), comprising 19 secondary metrics under 5 primary metrics.
• Integrated hierarchical analysis and the entropy method into a novel evaluation model for quantifying data sharing degree.

Main Results:

• The study introduces a novel evaluation tool for open ESS data sharing.
• The tool quantifies data sharing degree using a comprehensive index and an integrated evaluation model.
• It enhances the accuracy and reliability of evaluations by capturing data uncertainties.

Conclusions:

• The developed software tool enables rapid, quantitative assessment of open ESS data sharing degree.
• It facilitates the recommendation of highly shared datasets to researchers and modelers.
• This contributes to more efficient utilization of open scientific data in Earth Surface Systems research.