A prototype field-to-publication data system for a multi-variable permafrost observation network.

Analysis and prediction of permafrost change are hampered by lack of observational data. We implement a permafrost data management system to support multi-variable permafrost observation networks. It addresses five key challenges we identified for permafrost data management and publication: (1) existing data management strategies do not scale well, (2) data users have different skills and needs, (3) permafrost data are varied, (4) resources for permafrost data management are limited, and (5) existing permafrost data sources are difficult to integrate. This prototype system supports a workflow from observation to the distribution of interoperable data. It comprises a database with auxiliary software, a set of practices, and an ERDDAP server. We find the system simplifies data publication, hurdles in adapting CF conventions and ERDDAP for permafrost data remain, and technology cannot replace good practice. Our learning can inform organizations who collect, manage, or distribute permafrost data or those who manage large observation networks. [Display omitted] • Five broad challenges limit permafrost data management and publication. • Framed as requirements, the challenges share similarities with the FAIR principles. • We prototype a permafrost data system to support field-to-publication workflows. • We adopt and adapt standards and software for observational permafrost data. • Our data system supports the FAIR-ification of permafrost data. [ABSTRACT FROM AUTHOR]