Collaborative GARDIAN Labs (CGLabs) is the latest offering in the GARDIAN data ecosystem. CGLabs has a built-in collaboration platform, allowing a user to create either private or public virtual spaces, invite members, receive notifications and collaborate remotely and asynchronously.
Access is handled by a Single Sign-On (SSO) functionality via Globus secure data software. Additionally, CG Labs offers three key modules offering specific, interlinked functionalities, allowing the user to:
Find data: Search, download, and save datasets from GARDIAN in CG Labs;
Securely share data: This may be published (or unpublished but sensitive data) securely exchanged via a Globus implementation; and
Analyze data: Collaboratively write scripts and run analyses via Jupyter, which has been extended to support smooth data file exchange via the CG Labs Globus Server.
About the Platform
The CGIAR Platform for Big Data in Agriculture aims to harness of big data capabilities to accelerate and enhance the impact of international agricultural research. This 5-year platform (2017 – 2021) provides global leadership in organizing Findable, Accessible, Interoperable, and Reusable (FAIR) data, convening partners to develop innovative ideas, and demonstrating the power of big data analytics through inspiring projects.
This is achieved by
enhancing collaboration across Centers, CGIAR Research Programs (CRPs) and partners to leverage state-of-the-art data standards, analytics and ICTs
enabling unrestricted discoverability of inter-linked data sets to understand and tackle multifaceted challenges in data and evidence-driven ways
leveraging CGIAR expertise with external partners to broaden and deepen experience and capacity and position CGIAR in the broader big data and ICT sphere to establish CGIAR as an innovative thought leader
developing initiatives using proven big data innovations to drive agricultural growth in developing countries
The CGIAR Platform for Big Data in Agriculture is implemented with support from the CGIAR Trust Fund and bilateral funding agreements.