Key performance indicators presented in the West-Life grant application.
Number of consortium members at project meetings and activities
Number of project members and external visitors accessing the website
Number of reports and deliverables completed and submitted on time
Number of new open access tools/open source software developed.
Yearly increase in the number of open datasets released.
Yearly increase if the fraction of gold and green open access publications versus not open access.
West-Life policy and licensing model is published and applied
Additional metric: Feedback from industrial users on the suitability of the IP regime for their use
Training sessions conducted (and audience)
Joint publications/position papers involving authors from infrastructures beyond the current partnership
Number of round tables and joint meetings
Number of sessions at plenary meetings of RDA and other relevant organizations/initiatives
Meeting of Structural Biology Interest Group at RDA Plenary April 2017
Participation in data-related meetings and initiatives
5th RDA IG/WG Collaboration Meeting, Nottingham (UK) 8-9 June 2016
Digital Infrastructures for research 2016, Krakow (PL) 28-30 September 2016
FAIR Data Management: best practices and open issues”, Florence (IT) 14-15 November 2016
Number of CPU-cores, RAM and storage resources provisioned for the project
211,000 CPU cores were available to the project (not exclusively, shared with other VOs) in the EGI grid, additional 624 cores as Federated Cloud resources.
420 TB RAM (estimate, exact information is not available from EGI)
Number of Jobs run
3,300,000 in the grid, 1325 cloud virtual machines were spawned
CPU time used
19,600,000 CPU hours normalized with HEPSPEC06 in the grid, 151,000 hours in the cloud
Number of services integrated in the VRE portal (success expressed in % increase with respect to the baseline/ previous report)
Number of tutorials and use cases (success expressed in % increase with respect to the baseline/previous report)
Number of registered users (success measured as sustained or increased growth rate compare to the previous period)
Number of grid/cloud jobs/CPU usage originating from the service portals (success measured as the %increase compared to the previous period)
UI and Processing jobs use virtual folder mechanism
Installations of repository
Queries run on assembly service
Visits to provenance reports
Number of jobs using new functionalities
Number of publications described new functionalities