ARM Evaluation Data User Metrics and Best Practices

 
Poster PDF

Authors

Rachael Isphording — Oak Ridge National Laboratory
Maggie Davis — Oak Ridge National Laboratory
Richard T. Cederwall — Oak Ridge National Laboratory

Category

ARM infrastructure

Description

Evaluation data are an important component of scientific advancement featured at ARM Data Discovery. We currently have over 16 TB of archived evaluation data accessible to the ASR and Earth Science communities. This study aims to provide insight into the overall impact of ARM evaluation data to help inform scientific priorities. We also seek to update ASR and ARM investigators on the path that evaluation products take before becoming routine data products, and we will provide best practices for using archived evaluation data including mechanisms for providing feedback on the utility, maturity or quality of the data. We will address: 1) the average length of time a data product is categorized as “Evaluation” before transitioning to a “Routine” status; 2) ARM user statistics (e.g., total number of downloads, frequency, citing) for current and previous evaluation data, 3) correlation to how long data remains in an evaluation state and the impact of the data once it is migrated to a routine data status. This information can help guide the ASR community in developing new and effective evaluation products.