Meta Tools

Meta Tools is a set of R packages, specificallymetacoreandmetatools, designed to help manage and work with metadata, especially for clinical trial data programming. These tools make it easier to handle information about your data, ensuring consistency and accuracy.

Benefits

Meta Tools helps streamline the process of working with metadata. By clearly separating metadata for multiple datasets from metadata for a single dataset, it makes your work more organized. This new approach improves how the tools work and makes them faster. Printing your metadata objects now gives a clearer picture of what information is included. The tools also provide helpful error messages and warnings to guide you, making it easier to catch mistakes early.

Use Cases

These tools are particularly useful for clinical programmers who work with complex clinical trial data. They can be used to create new variables from existing code lists, derive new categorical variables, and check your data variables for consistency. For example, you can usecreate_var_from_codelist()to add new columns to your dataset based on predefined lists, orcreate_cat_var()to group data into categories. Thebuild_from_derived()function allows you to create columns based on information from other source datasets, andcombine_supp()helps integrate data from supplementary sources.

Vibes

Christina Fillmore, a clinical programmer at GSK, has taken over as the main maintainer for themetatoolspackage, indicating ongoing development and support for the tools.

Additional Information

The latest release, version 0.2.0, introduced significant changes to how metadata objects are handled. Future plans include addressing outstanding issues, improving documentation, and enhancing user messages. The development team is also looking into creating a user interface for custom specification readers. The next release is expected around the end of the year.