Scientific grants
HPC and Big Data Technologies for Global Challenges
Multimodal Extreme Scale Data Analytics for Smart Cities Environments
HPC and Big Data Technologies for Global Challenges
AMU Nature Collections
e-Infrastructure Reflection Group Support Programme 5
Centre of Excellence for Global Systems Science
Deployment of Remote Instrumentation Infrastructure
Remote Instrumentation in Next-Generation Grids
A Production Astronomy e-VLBI Infrastructure
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Projects
Digital repository of 2+ million specimen records drawn from 200 years of natural history collections at the Faculty of Biology, AMU — covering algae, plants, fungi, lichens and animals. Built to ABCD and Darwin Core standards with online analytical tools, a mobile field application and GBIF data exchange.
Online portal that scores natural history collections against 20 transparent criteria and centralises management of documentation, loans, publications, citations and Nagoya-ABS permits. Built jointly with the Faculty of Biology, AMU; integrates with GBIF, BOLD and Crossref.
Automates dataset and metadata transfer from CKAN instances to Zenodo.
Python client that bridges CKAN data portals with HPC environments via SFTP or the CKAN API.
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