Ovation’s unique scientific data layer and enterprise services connect your organization’s existing systems, analytical tools and instruments to create to create one uniform platform for the entire lifecycle of your research data. Ovation also provides a central location to visualize and explore the relationships between data, analyses, insights and more, giving you the ability to make the most out of every dataset.
Our enterprise services team can help you transfer existing data to Ovation from onsite storage, relational databases, HDFS, or your own S3 bucket
Ovation’s Python, command-line and REST APIs enable integration with legacy systems (ELN, LIMS, SDMS, etc.) and analysis tools (R, Python, Excel, Galaxy, etc.). Data can be pushed from these legacy systems to Ovation using Ovation’s APIs or our enterprise services team can help you build a connector to pull data from these systems via those systems’ APIs.
Ovation helps capture ancillary files, metadata, conversations and provenance that is currently lost because legacy systems don’t capture or consolidate them. Excel and your email inbox no longer have to be the only record of a project. Instead, feel confident that the entire context and provenance of your projects are accessible to current and future project teams.
Ovation adheres to HIPAA and 21 CFR 11 standards
All data is encrypted in transit and at rest
All interactions with Ovation are logged and auditable in the case of an incident
Ovation supports your existing identity infrastructure including Active Directory, LDAP, and SAML
Support for two-factor authentication
Ovation integrates with Spark, PostgreSQL and IBM DashDB for deep analytics across your entire organization’s data
With available 24/7 phone & email support, you’ll always be able to reach an engineer.
Enterprise customers can build custom integrations between our Ovation Service Lab LIMS and the Ovation Research data layer to provide a seamless bench-to-knowledge solution
Ovation has worked closely with organizations of every size (small, big, very big) to break down silos and tell your data's story.