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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