A Data Management System to ensure the secure preservation, retention, and sharing of data and metadata during the research project and beyond
GO TO PortalSciDataManager adhers FAIR and TRUST principle.
SciDataManager is designed to accommodate data repositories, visualizers, analyzers, and many more in the Data Lake.
Working with stakeholders is our way to achieve goals and objectives. We believe the customers are the best judge of our work.
SciDataManager is pluggable to any cloud infrastructure with the ability to scale horizontally and vertically.
SciDataManager has the ability to host any number or size of data. Every dataset is assigned and can be identified by a Persistent Identifier (PID)
Each Dataset has four stages to pass: Landing Zone, Staging Zone, Refined Zone and Archival Zone.
Dataset (collection of data and metadata), Data Templates, News are categorized by Group
A Group can represent a project, research lab, study, and so on.
Access policy of a group's content is customizable and can be set based on the group's preference
Version 0.0.1
SciDataManager is an initiatives under P2IRC Project
The sustainable preservation, retention, and sharing of P2IRC (meta)data
Develop a federated repository and public-facing portal with a well-defined (meta)data model
Adhere to FAIR Data Principles
We are a team of Principal Investigators, Researchers and Developers
Director of Genomics and Bioinfomatics
Global Institute For Food Security
Professor
Department of Computer Science
University of Saskatchewan
Professor
Department of Computer Science
University of Saskatchewan
Professor
School of Environment and Sustainability
University of Saskatchewan
Assistant Professor
Department of Computer Science
University of Saskatchewan
Bioinformatics Support Specialist
Global Institute For Food Security
Platform Leader, Data Management and Analytics
Global Institute For Food Security
Senior System Analyst