Embedded Files
Date: Tuesday 22 September 2020
Duration: 60 min
Summary
Collaborative GARDIAN (CG) Labs is the latest offering in the GARDIAN data ecosystem, and a key use case for Globus, which enables the secure transfer and exchange of data among trusted users in line with stringent medical privacy regulations. CGLabs has 2 key functionalities, both drawing on Globus:
1) Collaboration and networking: The tools enables users to create either private or public virtual spaces, invite members, receive notifications and in collaborate remotely and asynchronously. Globus mediates access through Single Sign-On (SSO) functionality.
2) Analytics: This functionality includes modules for researchers to: (a) search GARDIAN’s data resources, and download and save datasets in CGLabs; (b) securely upload and share unpublished (or published but sensitive) data via Globus; and (c) write and run analytics in Python and R via Jupyter, which has been extended to support smooth data file exchange via the CGLabs Globus Server.
Additionally, the Globus integration into CG Labs CG Labs can also mediate the upload of data assets to the GARDIAN Dataverse via workflows to generate Findable, Accessible, Interoperable and Reusable (FAIR) outputs, thereby assuring secure transfer of data assets to and from the repository.
Presenters
Medha Devare is an agronomist and microbial ecologist with experience in bioinformatics, data management and semantic web standards. She is a Senior Research Fellow at IFPRI and leads one of the three Modules of the CGIAR Platform for Big Data in Agriculture, spearheading efforts to operationalize the FAIR Principles towards Findable, Accessible, Interoperable, and Reusable data. Prior to this she led the CGIAR System‘s Open Access and Open Data Initiative, and as a Scientist with CIMMYT, coordinated a project to increase the productivity and profitability of small farmers and the sustainability of farming systems in western Nepal. Before moving to CIMMYT, Medha worked at Cornell University where she also received a PhD and helped develop VIVO, a semantic web application to represent research and scholarship.
Pythagoras Karampiperis is a co-founder and CEO of SCiO. He holds a Diploma and MSc in Electronics and Computer Engineering, an MSc in Operational Research, and a PhD in Digital Systems. Pythagoras has been involved in the conception, coordination and realization of more than twenty-five (25) R&D Projects funded by the European Commission and the US-National Science Foundation. His main interests are in the areas of Big Data Analytics, Semantic Web Technologies, Machine Learning, Data Mining, and Artificial Intelligence. He is the co-author of more than 70 publications in scientific books, journals and conferences with more than 1100 known citations (h-index: 18), as listed in Google Scholar.
Sotiris Konstantinidis is a co-founder and CTO of SCiO. He holds a BSc in Computer Science and MSc in Bioinformatics. Sotiris has more than 10 years of experience on the design and development of Big Data solutions in the context of EC-funded and commercial projects. He has participated in more than ten (10) R&D Projects funded by the European Commission, as a developer and system designer. His main interests are in the areas of Bioinformatics, Artificial Intelligence and Big Data Management.
This webinar was organized by the CGIAR Globus Working Group.
Recording_CGLabs-Globus webinar_22SEP2020 — Video recording of the webinar
Use of Globus in CGLabs — Webinar PowerPoint presentation
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