Dataset creation and transformation is an important step in reporting clinical trial data. Unfortunately, it can also be a challenging process. The goal is to always look for ways to do the job more efficiently, to lower costs, and to increase productivity among our staff. Digital Journal brought this news our direction in their article, “Using Metadata for Data Transformation: How Your Specifications Can Serve You, New Life Science Webinar Hosted by Xtalks.”
Traditional macros have assumptions about the input and output data built into them. Changing standards over time and/or inconsistency in input data often make them difficult to maintain and limits their flexibility.
Is it possible to use documentation as metadata to automate much of the datasets? A flexible system that can adapt and not be constrained by standards or inconsistency. It is worth the consideration.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
