Thread: IRIS releases new tool for quick data quality reports for temporary experiments

Started: 2021-07-20 13:58:36
Last activity: 2021-07-20 13:58:36
Dear Colleagues,

IRIS is pleased to announce the release of a new software tool for producing quick data quality reports using MUSTANG-generated metrics, designed for use with PASSCAL experiments and other temporary deployments. Named PIQQA (PI's Quick Quality Assessment), this tool is the result of a collaborative effort between IRIS Data Services and Instrumentation Services.

For several years, IRIS Data Services have been generating a wealth of data quality metrics and products using an automated system known as MUSTANG. Users can query MUSTANG to grab these metrics directly via web services, or they can access metrics through a variety of client tools, including PIQQA. PIQQA is designed to be quick and easy to operate and will provide users with a quick snapshot of several data quality metrics for a specified network or subset of stations/channels.

This recent Data Services Newsletter article provides a nice overview of PIQQA, including an example report:
https://ds.iris.edu/ds/newsletter/vol23/no1/533/piqqa-data-quality-reports-for-passcal-experiments/

PIQQA is open-source and will run on any dataset archived at the IRIS DMC for which MUSTANG metrics have been generated (please bear in mind that there are limits to the amount of metric data that MUSTANG web services can deliver through this tool; multi-year requests for large networks may not be appropriate). We think PIQQA will be particularly useful for PIs of recent temporary/PASSCAL deployments, who may appreciate a quick overview of the quality of their dataset. PIQQA does not display all MUSTANG metrics, and users interested in exploring additional metrics in greater detail are encouraged to explore additional MUSTANG clients or query MUSTANG directly via web services.

People wishing to use PIQQA may download the source code from theGitHub repository https://github.com/iris-edu/piqqa

Once downloaded, the software can be installed on your computer and run locally to generate a pre-formatted data quality report. In order to operate, the software will require internet access so that it may query the MUSTANG database directly. Reports can be generated in both HTML and PDF formats and contain links to additional information about the metrics themselves, as well as the particular network/stations/channels included in the report.

We hope PIQQA data quality reports will be useful to many members of our community, and that they will serve as a fast and easy introduction to the many helpful data quality products IRIS offers via MUSTANG. If you have comments or questions on PIQQA, please don’t hesitate to contact me directly.

Sincerely,

Justin

The IRIS Team that developed PIQQA includes:
Laura Keyson, Data Services
Gillian Sharer, Data Services
Mary Templeton, Data Services
Kent Anderson, Instrumentation Services
Justin Sweet, Instrumentation Services

-----------------------------------
Justin Sweet, PhD
Portable Project Associate
IRIS/PASSCAL Instrument Center



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