This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n° 654237 Data Repositories.

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Presentation transcript:

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n° Data Repositories and Science Gateways for Open Science Presenter: Roberto Barbera – University of Catania - Italy 19 November 2015 – UbuntuNet Connect 2015 – Maputo (Mozambique)

Outline 2 Introduction and definitions The Sci-GaIA project Enabling the Knowledge Workflow with Open Access Repositories and Science Gateways Summary and conclusions

e-Science 3 Applications Data Instruments/sensors e-Infrastructure Virtual Research Communities

e-Infrastructures support the Scientific Method 4 Data Infrastructures Open Access Doc. Repos. Data Repos. Semantic-web enrichment of linked data Data preservation HTC/HPC Clusters Grids, Clouds both ways Challenge: «walk» across the knowledge path both ways G. Galilei

Open Science (definition) ( 5  “Open Science refers to a scientific culture that is characterized by its openness. Scientists share results almost immediately and with a very wide audience”

6 Open Science Schools of Thought ( /Cloud

Open Science (tools) 7

Different kinds of global “connections” 8 Challenge: make African science/scientists more «visible» Opportunity: exploit e-Infrastructures to do it Goal: promote the Open Science paradigm in Africa

The Sci-GaIA Project ( 9 Energising Scientific Endeavour through Science Gateways and e-Infrastructures in Africa Research Infrastructures – Coordination & Support Action Grant Agreement no EC contribution: ~1.4 MEuro Start date: 1 May 2015 Duration: 24 Months

10 Sci-GaIA is strongly committed to promote Open Science

11 The Sci-GaIA Federated Platform for an Open Science Commons in Africa

The Open Knowledge workflow 12

The Sci-GaIA requirements for an Open Access Repository 13 Requirements: Open source Standard compliant Well supported Scalable up to O(10 6 )-O(10 7 ) resources (to begin with) Choice: Invenio ( – actual version: our «add-ons» Motivations: Fully compliant with OAI-PMH and Marc21 standards Co-developed by an international collaboration comprising institutes such as ​ CERN, ​ DESY, ​ EPFL, ​ FNAL, ​ SLAC and used by about 30 scientific institutions worldwide ZENODO (OpenAIRE flagship repository), SCOAP 3 and inSPIRE HEP repositories are based on InvenioZENODOSCOAP 3inSPIRE HEP The CERN Document Server ( based on Invenio, contains more than 1.3 million documentshttp://cds.cern.ch/ UNESCO and UEMOA are leading an initiative to create a virtual library based on Invenio in 8 West African countriesinitiative

The Sci-GaIA Open Access Repository ( 14 federated authentication Resources can be:  Manually uploaded  Automatically harvested and ingested from external sources

(Single) resource upload and DOI registration 15 The Sci-GaIA OAR has already a prefix of: And we are also discussing with:

Examples of resources (documents, data, software) 16

Example of “research package” 17

Science Gateways 18 “A Science Gateway is a community-developed set of tools, applications, and data that is integrated via a portal or a suite of applications, usually in a graphical user interface, that is further customized to meet the needs of a specific community.”

The Catania Science Gateway Framework (CSGF) in a nutshell ( 19 Born in 2010 to hide Grid – and now Cloud - complexity (especially security-wise) Designed to be: Sustainable (fully based on standards) Scalable (through “parallel” application servers) Secure (integrated AAAAI) Interoperable (one system  many infrastructures) Accessible anytime from anywhere (including mobile devices)

Science Gateway Framework Architecture ( 20 Africa Grid SG Grid HPC Cloud VO a App 1 App 2 App i App j App k … App x App n … VO b … Tenant a Tenant b … App 2 Grid & Cloud Engine App k App x

The Africa Grid Science Gateway ( 21

Example of HEP analyses reproducibility and reusability 22 R AA Analysis p t Analysis 1. From the OAR it is possible to select an “analysis” and run it on the Africa Grid SG 2. Clicking on RUN PAGE, the researcher can either reproduce or extend that particular analysis using the Africa Grid SG

Example of analysis reproducibility and reusability 23 1.From within the Africa Grid Science Gateway entitled researchers can also book and start VMs already configured to re-use/extend data analyses 2.The VMs are deployed on research cloud, including the EGI Federated Cloud

Example of analysis reproducibility and reusability 24 1.The VM is available tor a customizable amount of time during which the user has full access to the dataset(s) and analysis algorithm(s) and source code(s) of the experiment 2.The user can access the VM using different protocols (e.g., SSH, VNC); clicking on the SSH or VNC icons the user can directly access the VM instantiated on the cloud from within the Science Gateway

Example of analysis reproducibility and reusability 25 New stable analyses (and their results), generated running the VM, may be registered in the OAR (with DOIs) to further extend the analysis catalogue shared within the Virtual Research Community

Summary and conclusions 26 Open Science vision can be implemented only if the “openness” paradigm becomes pervasive in day-by-day research Science outputs’ reproducibility, but also re-usability and extensibility, are key to walk through the “knowledge path” in both directions The Sci-GaIA project is strongly committed to promote the uptake of the Open Science paradigm and it’s building a viable federated platform for Open Science Commons across Europe and Africa A novel approach connects Open Access Repositories to Science Gateways and exploits Grid/Cloud/local resources worldwide to easily reproduce/reuse/extend scientific analyses The Africa Grid SG and the Sci-GaIA OAR can be easily cloned wherever in Africa such services are required/needed; feel free to contact if you’re

List of authors 27 Roberto Barbera (University of Catania, Italy) Carla Carrubba (University of Catania, Italy) Giuseppina Inserra (University of Catania, Italy) Rita Ricceri (University of Catania, Italy) Mario Torrisi (University of Catania, Italy)

Thank you! sci-gaia.eu