Scalable Data Mining

Scalable Data Mining is a facility to perform statistical analysis.

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Basic Service Information

Description: Basic Service Information

Field Value
Service Multimedia N/A
Service Name Scalable Data Mining
Service Options N/A
Service Provider Name D4Science.org
Service Symbol N/A
Service Tagline A comprehensive and collaborative environment to perform statistical data analysis.
Service URL https://bluebridge.d4science.org/explore
Target Users Software Developer, IT Manager, Data Manager, Scientist, Scientific Advisory working group
User Base The service is widely used by the members of the following VREs:Aquaculture Training Lab,InfraTraining,SIASPA - Strategic Investment Analysis and Scientific Planning/Alerting VRE,SustainableBlueEconomy,Alieia VRE,Aquabiotech,ARDAG_Aquaculture,Ellinika Psaria VRE,Forkys VRE,GALAXIDI,iLKNAK_Aquaculture,KIMAGRO_Fishfarming,MARKELLOS_Aquaculture,Sinay,STRATOS_AQUACULTURES,SDG-Indicator14.4.1,FrenchTropicalTunaAtlas,StockAssessment,ICCAT BFT-E,IOTC SS3,Bay of Bengale Large Marine Ecosystem Hilsa WG,CWP Secretariat,WECAFC-FIRMS,Global Record of Stocks and Fisheries (GRSF),GRSF Admin,Tuna Atlas,SDG-Indicator14.4.1,AnalyticsLab,Aquaculture Atlas Generation,Protected Area Impact Maps,SDI_Lab,Vulnerable Marine Ecosystem (VME) DB,SIASPA - Strategic Investment Analysis and Scientific Planning/Alerting VRE,SustainableBlueEconomy,Biodiversity Lab,ScalableDataMining,TabularDataLab,Aquaculture Training Lab,InfraTraining,SustainableBlueEconomy,Blue Datathon,DRuMFISH,ICES_BNetworkAnalysis,ICES_DALSA - ICES Trainign Course on Data Limited Stock Assessment,ICES_DASC - ICES Training Course on Design and Analysis od Statistically Sound Catch Sampling Programmes,ICES_FIACO - ICES Trainign Course on Principles and Methods of broadband/wideband technologies: application to Fisheries Acoustics,ICES_FIACO2017 - ICES Trainign Course on Principles and Methods of broadband/wideband technologies: application to Fisheries Acoustics,ICES_AbundanceEstimationFromAcoustic - ICES Training Course: Introduction to abundance estimation from fisheries acoustic surveys,ICES_IntroStockAssessment - ICES Training Course: Introduction to Stock Assessment,ICES_IntroToREnv - ICES Training Course Introduction to the R Environment,ICES_LogbookData - ICES Trainign Course on VMS and EU logbook data,ICES_MSE - ICES Training Course: Introduction to Management Strategy Evaluation,ICES_MSY - ICES Training course on methods for setting proxy MSY reference points,ICES OnlineOceanography,ICES_SA - ICES Training Course on Stock Assessment Advanced,ICES_TCRE - ICES Training Course in the R Environment,ICES_TCSSM - ICES Training Course on Social Science Methods for Natural Scientists,Tuna Atlas,SDG-Indicator14.4.1,TabularDataLab,StockAssessment,WECAFC-FIRMS,Aquaculture Atlas Generation,Protected Area Impact Maps,Vulnerable Marine Ecosystem (VME) DB,Global Record of Stocks and Fisheries (GRSF),GRSF Admin,Tuna Atlas,SDG-Indicator14.4.1,AnalyticsLab,Biodiversity Lab,FrenchTropicalTunaAtlas,RPrototypingLab,RStudioLab,ScalableDataMining,TabularDataLab,StockAssessment,Bionym,ICCAT BFT-E,IOTC SS3,Aquaculture Atlas Generation,Protected Area Impact Maps,SDI_Lab,Vulnerable Marine Ecosystem (VME) DB,Aquaculture Training Lab,InfraTraining,SIASPA - Strategic Investment Analysis and Scientific Planning/Alerting VRE,SustainableBlueEconomy,Blue Datathon,DRuMFISH,ICES_BNetworkAnalysis,ICES_DALSA - ICES Trainign Course on Data Limited Stock Assessment,ICES_DASC - ICES Training Course on Design and Analysis od Statistically Sound Catch Sampling Programmes,ICES_FIACO - ICES Trainign Course on Principles and Methods of broadband/wideband technologies: application to Fisheries Acoustics,ICES_FIACO2017 - ICES Trainign Course on Principles and Methods of broadband/wideband technologies: application to Fisheries Acoustics,ICES_AbundanceEstimationFromAcoustic - ICES Training Course: Introduction to abundance estimation from fisheries acoustic surveys,ICES_IntroStockAssessment - ICES Training Course: Introduction to Stock Assessment,ICES_IntroToREnv - ICES Training Course Introduction to the R Environment,ICES_LogbookData - ICES Trainign Course on VMS and EU logbook data,ICES_MSE - ICES Training Course: Introduction to Management Strategy Evaluation,ICES_MSY - ICES Training course on methods for setting proxy MSY reference points,ICES OnlineOceanography,ICES_SA - ICES Training Course on Stock Assessment Advanced,ICES_TCRE - ICES Training Course in the R Environment,ICES_TCSSM - ICES Training Course on Social Science Methods for Natural Scientists,Alieia VRE,Aquabiotech,ARDAG_Aquaculture,Ellinika Psaria VRE,Forkys VRE,GALAXIDI,iLKNAK_Aquaculture,KIMAGRO_Fishfarming,MARKELLOS_Aquaculture,Sinay,STRATOS_AQUACULTURES,Global Record of Stocks and Fisheries (GRSF),GRSF Admin
User Value a. Software Developers can easily test, validate, and run algorithms developed in a large spectrum of software languages (e.g. R, Java, Python, Fortran) on a distributed infrastructure that appears to them as a single coherent system effectively hiding the different technologies and security frameworks; b. IT Managers can offer a scalable (on demand), controlled (by maximum quota of exploitable resources per user/per day), and secure environment where executing reproducible data analytical algorithms; c. Data Managers select the appropriate data analytical models among the wide spectrum of models offered with the aim of offering an easy-to-use data dashboard; d. Individual scientists have access to a wide spectrum of available data analytical models and can easily test, validate, and run algorithms developed in a large spectrum of software languages (e.g. R, Java, Python, Fortran); e. Scientific Advisory working group (user group) can configure and enrich the data dashboard with the aim of supporting the activities of a working group while hiding the complexity of a powerful, controlled, and secure e-infrastructure that can scale according to the evolving needs of the group.
Service Classification Information

Description: Service Classification Information

Field Value
Required Services None
Service Category Data
Service Changelog N/A
Service Language English
Service Last Update April 2018
Service Life Cycle Status 5. Production
Service Place Europe
Service Sub Category Mining
Service TRL TRL 9. actual system proven in operational environment
Service Valid For Up to end of 2019.
Service Version 3
Service Support Information

Description: Service Support Information

Field Value
Service Feedback http://support.d4science.org
Service Helpdesk http://support.d4science.org
Service Order http://support.d4science.org
Service User Manual https://gcube.wiki.gcube-system.org/gcube/Data_Mining_Facilities
Service Contractual Information

Description: Service Contractual Information

Field Value
Service Funding This work has received support from the BlueBRIDGE Project (European Union's Horizon 2020 research and innovation programme, Grant agreement No 675680) and is operated by the D4Science Infrastructure (D4Science.org).
Service Level Agreement http://support.d4science.org
Service Price Free, subscription, membership to corporate customers
Terms Of Use https://bluebridge.d4science.org/terms-of-use
Service Operations Information

Description: Service Operations Information

Field Value
Decommissioning Procedure https://wiki.d4science.org/index.php?title=Procedure_Decommissioning_Procedure
Disaster Recovery Plan https://wiki.d4science.org/index.php?title=Procedure_Disaster_Recovery_Plan
Metrics And Statistics https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Accounting_Dashboard
Operations Documentation https://wiki.d4science.org/index.php?title=D4Science_Deployment_and_Operation
Service Accounting https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Accounting
Service Availability Hours https://wiki.d4science.org/index.php?title=Procedure_Service_Availability_Hours
Service Level 1 Support https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Incident_Management#1st_Line_Support
Service Level 1 Support Hours https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Incident_Management#Prioritization_and_Assignment
Service Level 2 Support https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Incident_Management#2nd_Line_Support
Service Level 2 Support Hours https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Incident_Management#Prioritization_and_Assignment
Service Level 3 Support https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Incident_Management#Management_Decision
Service Level 3 Support Hours https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Incident_Management#Prioritization_and_Assignment
Service Maintenance Window https://wiki.d4science.org/index.php?title=Procedure_Downtime_Declaration
Service Monitoring https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Monitoring
Service Owner D4Science.org
Service Performance Indicator

Description: Service Performance Indicator

Field Value
Notes Reported performance indicators are aggregated values starting from 1st of April, 2017. For more information please refer to https://wiki.d4science.org/index.php?title=Procedure_Infrastructure_Accounting_Dashboard
Service Availability 99.99%
Service Reliability 99.97%
Service Serviceability 100%
Service Users 5109
Additional Info
Field Value
system:type Service
Management Info
Field Value
Author Fabio Sinibaldi
Maintainer D4Science.org
Version 1
Last Updated 18 April 2018, 19:00 (CEST)
Created 18 April 2018, 18:59 (CEST)