Data Management
A high performing team of global data management experts.
Our data center of excellence prioritizes clean, reproducible, fit for analysis data and specializes in a wide range of therapeutic areas.
Driven by quality, the experts at MMS approach every biometrics deliverable as a top priority, no matter the size or scope of the project. You and your team can expect in-depth, thoughtful conversations with team members, knowing that they are thought leaders, invited speakers, and change makers in industry groups across the globe.
Certified in multiple industry esteemed EDC platforms, allowing for flexible approach to database builds and efficiencies to tailor to Sponsor requirements as projects progress.
Data Management services at MMS are designed to streamline the process of design, collection, reconciliation, and review of clinical research data. Our clinical data specialists manage all aspects of the data while you stay in complete control — with continuous access to data and total transparency to study progress.
Working with MMS brings:
- An experienced, award-winning team to manage studies across a variety of industry leading EDC platforms, including accreditations to build in Rave, Zelta, and Medrio
- Expertise to recommend and deploy cutting-edge “e” technologies, including eCOA (eClinRO and ePRO), eDiary, and eConsent
- A wide range of therapeutic area expertise
- Proven processes to begin clinical studies faster, with accurate, clean results that exceed expectations
- Near real-time access to clean clinical data, including added visibility via Datacise technology
- A single point of contact, reducing communication burden and increasing historical knowledge
MMS Clinical Data Managers provide:
- Expert knowledge on EDC technology and surrounding processes
- Clean, reproducible fit-for-analysis data, with cross functional support from the entire biometrics team
- Lead Data Managers that rise to the challenge of aggressive study timelines
- Knowledge transfer and industry-leading CRO retention rates increase efficiencies to propel study conduct to the finish line while ensuring data integrity