MDR - Metadata Repository
Manage standards, medical concepts, & study builds
Collaborate with your partners on metadata specification and drive reuse in study build by connecting to EDC systems. Refine your standards using the Sycamore MDR Governance.
Ensure compliance of study metadata to standards and mappings with Sycamore MDR’s AI/ML based Conformance Checking Module.
Accelerate your EDC build, data transformations and statistical programming using Sycamore MDR.
Unique Benefits:
Capture metadata standards and mappings/ transformations, with optional biomedical concepts
Bulk import or cherry pick from standards into study metadata for consumption
Improve operations by using advanced comparison and collaboration tools
Import from key or legacy systems / Export for regulatory review and integration
Capture traceability, versioning, & lifecycle
Extend metadata, configure workflows, and integrate with CDR & SCE
The Sycamore Metadata Repository (Sycamore MDR) is industry's leading application for defining, governing, managing, consuming and delivering clinical trials data standards, metadata and mappings. Sycamore MDR supports industry standards including multiple versions and releases of CDISC metadata definitions and controlled terminology as well as an organization’s internal metadata standards. It focuses on using metadata to accelerate study build and transform collected data for submissions. It has been quickly and efficiently implemented with industry and company standards and specifications for collecting and transforming clinical trial data.
Using Sycamore's proprietary technology, Sycamore MDR manages the relationships between different models down to the variable level and maintains the integrity of the relationships between these models, their use in studies and orchestrates the bi-directional movement of metadata between multiple systems such as DCIs, EDCs and Clinical Data Repositories. It provides templates for importing and exporting metadata for leading EDC and the Sycamore MDR Workbench for organizations to build their own automation.
Sycamore MDR's proprietary Machine Learning and AI algorithms enable instantaneous auto-generation of end-to-end Study Instance Metadata (SIM). The generated SIM includes variables from Collection (Forms) to Submission to Analysis and the associated mappings from Source to Data Review to SDTM to ADaM. Sycamore MDR tracks and versions all changes to studies, models and variables making it simple to see what has changed in a study over time and how the metadata has changed during the course of a study. Any impact of proposed changes to studies, models and variables can also be easily previewed and visualized. Users can view, download, and comment on metadata, and impact analysis and governance tools are available for reviewing and approving changes to metadata.
