Many different experimental techniques are required to characterize the various types of gases and particles found in the atmosphere. As a result, modern atmospheric science experiments typically require numerous complex instruments. It is crucial to implement FAIR (findable, accessible, interoperable, and reusable) data processing workflows for these complex, multi-instrument experiments to perform science that is robust and trust-worthy. This was the overarching goal of the OPEN-ACTRIS project, which took the example of atmospheric measurements collected in Switzerland for the Aerosols, Clouds and Trace Gases Research Infrastructure (ATRIS): a pan-European measurement network dedicated to the characterization of short-lived atmospheric constituents. Following on from the previous ORD project IVDAV, tools for curating multi-instrument research datasets (the Data Integration and Metadata Annotation – DIMA – package) and for codifying reproducible data processing workflows (the Improve Data Exchange and Reuse – IDEAR – template) were finalized and published in public data repositories. A specific test case – ACTRIS Aerosol Chemical Speciation Monitor (ACSM) data – was chosen to illustrate how these tools could be adapted and applied in practice. A new tool was developed that implements the ACTRIS ACSM data processing pipeline (ACSM FAIRifier), and this tool was applied to generate processed ACSM datasets that were uploaded to public repositories. Several other datasets were produced during the project using newly developed ACTRIS data chains. By providing working examples of real-world ORD practices, OPEN-ACTRIS paves the way for further adaptation and use of DIMA, IDEAR, and other similar tools in atmospheric science experiments.