Why to structure your data, what to do with it, and how DIGGS can help.

Transition unwieldy CSV data into DIGGS - the easy way!

The DIGGS Code Jam was the first time multiple vendors attempted to import the most comprehensive DIGGS file produced to date. Vendors were challenged to import the file and produce a variety of outputs based on the data. The results were encouraging -- and eye-opening!

Have you ever shared geotechnical data with a colleague only to hear "I can't open this file" or "The values don't make sense"? These common frustrations stem from inconsistent data formatting and structure. This validation framework tackles these issues by checking your DIGGS files at three increasingly sophisticated levels.

CodeType properties and code list dictionaries serve to manage controlled vocabularies and are foundational elements of the DIGGS standard. To improve both interoperability and flexibility across geotechnical data exchange, the DIGGS Team is pleased to announce updated guidelines for referencing code list dictionaries in DIGGS instances. These changes address key feedback from the 2025 DIGGS Code Jam Challenge.

What is DIGGS, and how can it improve AI for geotechs?

Got piles of pile installation data? DIGGS can help!