Getting Started

Get started with OpenRBQM, find answers, and learn how to contribute.

Getting Started

Interested in using {gsm}? Key resources are provided in response to the FAQs below.

How do I calculate a metric?

See the “Process Overview” section and then check out these articles:

How do I evaluate a study?

The {gsm} workflow process allows creation of reusable pipelines for study (or even cross-study) data snapshots including data mapping, calculation of multiple metrics and creation of reports. Runtime execution is provided by {workr}, while {gsm.core} provides the analytical functions used inside those workflows. See the articles below for details and examples.

How do I customize my study?

The {gsm} framework is designed to be highly modular and customizable. The sections above show examples of customized metrics and workflows. It’s also straightforward to add entire custom modules that add new mappings, metrics and reports. See the vignettes below for details.

  • gsm Extensions Vignette describes how to extend {gsm.core} by creating new ‘modules’, including metrics, reports and shiny apps that can be run using the standard gsm pipeline.
  • Step-by-Step Guide to add a new KRI outlines the necessary analytics tasks required before a new Key Risk Indicator (KRI), Quality Tolerance Limit (QTL), or similar metric can be put into production.

What reports are available for my study?

Here are links to sample reports that are available in the {gsm} family of packages. We’re working on adding more all the time and will continue adding examples to this list as they are released.

Contributing