• PROCESS (2018-2021): Ground-breaking services prototypes and tools to speed-up uptake of future extreme scale data processing offerings aimed at boosting scientific progress and disruptive business innovation. [software: LOBCDER2, Brane]

• Edison (2015-2017):   the purpose of Edison (EU H2020 project) is to accelerate the process of establishing the profession of Data Scientist. This will be achieved by coordinating the vision and activities of the stakeholders who will contribute to and benefit from Data Science as a professional practice.

• Commit (2011-2017): within the research program COMMIT the e-Infrastructure virtualization for eScience applications project allows application scientists to effectively use the e-Science infrastructure and deal with its increasing complexity, which is due to its inherent collaborative and distributed nature, the explosion of data and the strong heterogeneity of both its hardware and software. [software: pumking]

•  VPH-share (2010-2014):VPH-Share will develop the organisational fabric (the infostructure) and integrate the optimised services to: (1) expose and share data and knowledge (2) jointly develop multiscale models for the composition of new VPH workflows and (3) facilitate collaborations within the VPH community. [software: LOBCDER]

• gSLM (2010-2012):  gSLM project is a European project aims to improve Service Level Management (SLM) in the grid domain. 

• VL-e (2004-2009): The aim of the ‘Virtual Laboratory for e-Science’ project is to bridge the gap between the technology push of the high performance networking and the Grid and the application pull of a wide range of scientific experimental applications. It will provide generic functionalities that support a wide class of specific e-Science application environments and set up an experimental infrastructure for the evaluation of the ideas. [software: wsvlam]

• VLAM-G (2000-2004): VLAM-G, the Grid-based Virtual Laboratory AMsterdam, provides a science portal for distributed analysis in applied scientific research. It offers scientists the possibility to carry out their experiments in a familiar environment, where content and data are clearly separated.  

• JERA (1997-2000): The JERA project focuses on the realization of a fault tolerant Distributed Web Service.