Introducing the Verisian Validator
After a lot of hard work by the Verisian team, I’m so excited to announce the first release of the Verisian Validator!
With the Validator, we want to change the way SAS execution logs are analyzed, offering an immersive experience to help programmers grasp all important log messages, extract executed code (with macros resolved), and ensure comprehensive data and derivation traceability.
You can access our demo for free on our website. A community edition and cloud offering to use the Validator with your own logs will soon be available, so don’t forget to sign up to get notified when they’re ready!
When entering the Validator, we recommend starting with the Validation Overview. We built this to transform your experience of working through your study analysis logs. We highlight essential messages that ensure data integrity and Good Programming Practice (GPP). This is not just about identifying issues; it's about deepening your understanding of your analysis and instilling confidence and integrity into your study.
You'll be able to navigate your entire analysis by either file or dataset of interest, all powered by the Verisian real-time data and code traceability. We provide a clear view of each code step and its related log messages, linking directly to the original log file and the extracted code.
A feature we’re particularly excited about, which is coming soon, is our graph-powered logical inference and AI engine. This will be able to identify which code is responsible for specific log messages, suggest how to fix it, and indicate how issues and their fixes will affect others throughout you derivations.
We’ve built the Study Graph to give you an easy way to understand where data comes from, how it is transformed, and where it ends up. It starts where your SAS code starts: from raw data (i.e. eCRF), through SDTM and ADaM to TFLs. Our goal is to provide you with an understanding of your analysis’ full data provenance (or traceability) in a way that wasn't possible before. We want it to be easy to understand how the code is connected to datasets, variables, formats, and everything else required to analyse clinical trial data.
A few of the things we want to enable you to do with the Study Graph:
- Full data provenance by making it easy to track your data's full journey, easily and accurately
- Helping your colleagues to onboard on new studies faster
- Facilitate the review of analyses across teams and CROs
- Discuss SAP-specification and implementation details in depth
We’ve tried making navigating the Study Graph as simple as possible. The interface consists of datasets that are represented by nodes. If you click on one, you’ll get the actually executed code that generated it, along with key log messages. Our goal is that by traversing data sets throughout the graph, you’ll gain an unparalleled insight into your data provenance!
We’ve just released the Validator as an initial demo that anyone can access for free on this link. We’ll also soon release a community edition that you can run on your own laptop along with a cloud trial offering for you to use with your own analysis logs.