Mquiry

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.

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.

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.

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.

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.