IDS, Intermediate Data Schema, is an intuitive and powerful data modeling framework to harmonize your heterogeneous R&D data.
Whether CRO report, HPLC injection, plate reader runs or any other data sets, harmonize them into vendor-neutral and data science compatible formats. Connect data across heterogeneous sources and targets at enterprise-scale, leveraging the open data format of choice for data science and big data applications. Quickly define your data validation rules, indexing, partition and embed ontologies of your choice.
The Tetra Data Platform provides an intuitive, queryable data catalogue of harmonized data for common R&D data types with versioning.
IDS is an open framework, with detailed documentation; or, build your own IDS specific to your needs. Comprehensive tooling provides programmatic validation, browse, sharing and publish mechanisms.
Harmonized IDS files get automatically prepared for query, enabling flexible and powerful search, filter, aggregations and queries.
IDS files are easy to read, write and consume out-of-the-box, and compatible with big data and web applications. Automated file conversion further transforms data to industry standards.