Harmonize your heterogeneous data with IDS
IDS, Intermediate Data Schema, is an intuitive and powerful data modeling framework to harmonize your heterogeneous scientific 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.
How it works
Select from the TetraScience library or create your own.
Automatically harmonize scientific data to vendor agnostic open data format.
Automatically prepare the data for queries from big data tools like Elasticsearch, Python/R, Spark, Presto, Pandas, Streamlit.
Automatically convert IDS files to other formats of your choice, such as Allotrope Data Format with the Tetra File Converter Application.
Use IDS to harmonize your lab data sets
Built for enterprise
Built-In Library
The Tetra Data Platform provides an intuitive, queryable data catalogue of harmonized data for common scientific data types with versioning.
Open Framework and Tooling
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.
Future-Proof
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.
Ready to Query
Harmonized IDS files get automatically prepared for query, enabling flexible and powerful search, filter, aggregations and queries.
