Mquiry

A highly secure, cloud-based solution for data collaboration

Mathematica's Mquiry platform enables researchers, data scientists, and engineers to gather, discover, manage, and analyze data securely. The platform includes a centralized repository to ingest, store, and catalog structured and unstructured data and supporting materials, as well as an analytics workspace for data processing and in-depth analyses. Mquiry also provides connectivity to leading data visualization tools to simplify the dissemination of insights. With an intuitive user interface, security and governance controls, and leading data technology, Mquiry reduces burden on data collaborators and uncovers insights faster.

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Mquiry puts relevant, reliable data at your fingertips to drive insights and improvements.

Explore and search by keywords to find datasets. Researchers can access a centralized data repository using keyword search to explore datasets and supporting documents. With built-in controls for restricting access, teams can easily preview available data and request access from data owners.
Use scalable computing resources. Data analytics teams can use a powerful analytics toolkit and scalable on-demand compute resources in the cloud, leveraging Amazon Web Services (AWS) technology. Mquiry provides best-in-class tools to support the data lifecycle through ingestion, storage, cataloging, analysis, and reporting. The platform comes complete with security, logging, and governance features.
Collaborate easily in one platform. Mquiry makes collaboration easier for interdisciplinary teams, which might include researchers, data engineers, data scientists, and others. With easy access to raw data, expandable data storage, and audit logs, users can work with data in one place, without repeated downloads or copying data across multiple systems or locations.
Focus on insights. Data analytics teams that support program operations and evaluation benefit from fast project startup and outsourced data infrastructure, leaving them with more time to focus on generating insights.
Facilitate secure data sharing. Research teams partnering with outside entities can authorize access to datasets within the platform, eliminating cross-organizational IT challenges. Mquiry’s strict security controls and audit and logging features provide robust data governance.
Mquiry import and export screenshot
Flexible import and export: Mquiry makes it easy to ingest large volumes of structured, unstructured, and semi-structured data from multiple sources into one place, while ensuring proper quality control and easy data organization.
Mquiry data catalog and archive screenshot
Data catalog and archive: Access publicly available datasets or build your own. Mquiry’s keyword search and filtering capabilities, along with its capacity to support a variety of data types, make it easy to browse, find, preview, and share data, improving data accessibility and collaboration among research teams. The data catalog also includes controls and workflow features to ensure proper use of restricted datasets.
Mquiry processing workspace screenshot
Processing workspace: Take advantage of scalable computing resources to easily process large datasets and manage your workloads through a built-in advanced analytics toolkit that includes RStudio, Stata, QGIS, Python, JupyterLab, and Visual Studio Code. These workspaces also come with office productivity tools and easily integrate with the GitHub code repository so data scientists, engineers, and analysts can share code and collaborate with team members.
Mquiry data visualization screenshot
Data visualization: Design and develop powerful visualizations for storytelling using tools such as Tableau, PowerBI, AWS QuickSight, or R Shiny to share research insights. You can connect visualization tools to unstructured and structured data in Mquiry and control access to these dashboards to secure your data and insights.
Mquiry security controls screenshot
Security controls, auditing, and cost management: Platform administrators can implement strict controls and manage user access to data and resources to meet privacy and compliance requirements. With Mquiry, you’ll have ready access to compliance reports and key metrics to ensure efficient use of resources and cost optimization.

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Saba Karunanithi

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Erika Krzton-Presson

Erika Krzton-Presson

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Kate Miller

Kate Miller

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Mary Grider

Mary Grider

Director, Data Analytics

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Mark Flick

Mark Flick

Senior Director, Data Science and Analytics

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