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Outline

Outline. Presentation of Partners Short Introduction to the Project: Motivation, Concept, Objectives, Approach, Tangible Outcomes, Summary of Evaluation Comments. OpenScienceLink Consortium. OpenScienceLink Short Introduction to the Project. OpenScienceLink in Brief.

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Outline

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  1. Outline Presentation of Partners Short Introduction to the Project: Motivation, Concept, Objectives, Approach, Tangible Outcomes, Summary of Evaluation Comments

  2. OpenScienceLink Consortium

  3. OpenScienceLinkShort Introduction to the Project

  4. OpenScienceLink in Brief • Open Semantically-enabled, Social-aware Access to Scientific Data • Duration: 36 months • ICT PSP Main Theme identifier: • THEME 2 - DIGITAL CONTENT, OPEN DATA AND CREATIVITY • Objective 2.2: Open Data and open access to scientific information • b) Open access to scientific information • Budget: • Commission contribution: 2,099,977 euros • Total budget: 4,199,955 euros • Partners: 8

  5. OpenScienceLink Landscape

  6. The Biomedical Landscape in particular Average Drug Development timeline: >10 years from basic research to market • High failure rate : • 5 in 5000 compounds that enter preclinical testing make it to human testing • 1 out of the 5 ones tested in people is approved Research in Biomedical and Clinical Domain Cost per drug candidate is more than € 900 million, with the greatest cost being failure. New active ingredients reaching the patients yearly significantly decreasing: ~ 60/year (late 1980s), 52 (1991), 31 (2001), 20-25 (currently) Drug Repositioning

  7. OpenScienceLink Overall Objectives • To introduce and pilot a holistic approach to the publication, sharing, linking, review and evaluation of research results, based on the open access to scientific information. • To empower a novel eco-system for open access to scientific information, which will provide a range of added-value services for all stakeholders.

  8. OpenScienceLink Pilot Services #1 - Data journals development based on semantically-enabled research dynamics detection #2 - Novel open, semantically-assisted peer review process #3 - Research Trends Detection and Analysis #4: Dynamic researchers’ collaboration based on non-declared, semantically-inferred relationships #5: Scientific field-aware, Productivity- and Impact-oriented Enhanced Research Evaluation Services

  9. OpenScienceLink Platform UniProt, GO, MeSH, CDM, DMAP, PONTE Eligibility Criteria, PONTE Global EHR, PONTE Drug, PONTE Disease, PONTE Target SocIoS Data Model Models/Ontologies OpenScienceLink Added-value Services Research Dynamics-aware Open Access Data Journals Development Novel open, semantically-assisted peer review process Data Mining for Biomedical and Clinical Research Trends Detection and Analysis Data Mining for Proactive Formulation of Scientific Collaborations Scientific field-aware, Productivity- and Impact-oriented Enhanced Research Evaluation System Semantic Data Mining and Reasoning Services Social Media Services Social Media Information Aggregation Content Ranking Sentiment Analysis Concept Correlation Ranking Crowd-sourcing Mechanism Community Lifecycle Monitoring Event Detection Term Co-occurrence Index Building Knowledge-based Concept Correlation Influencer Tracking Topic-based Community Identification Semantic Filtering Results Ranking Recommendation Ontology-based Data mining Text Annotation Policy Evaluation Open Access Data Infrastructure Social Media Data Feeds Linked Data (DrugBank, Diseasome, LinkedCT, SIDER,…) Social Media Data PROMISCUOUS DATABASE IUCLID DS Social Media Registry of Open Access Repositories

  10. GoPubMed Platform A semantic search engine for the life sciences Data mining, semantic filtering and ranking mechanisms Document annotation with ontology concepts Instant ontology-based viewing of the retrieved results

  11. PONTE Platform • Provision of a set of tools, mechanisms, models and services which facilitate the researchers’ work towards formulating their test of hypothesis, designing clinical trial protocols and selecting subjects for potential recruitment to clinical trials: • Intelligent semantic inference mechanisms • Knowledge-based correlation services • Models of clinical trial protocol, drug, disease, target, patient health data, eligibility criteria, …

  12. SocIoS Platform Social media aggregation through a powerful object model Social analytics services Cross-platform application development and deployment Open source components

  13. +Spaces Platform (positive spaces) Citizen engagement through applications that leverage on social media platforms like Twitter and Facebook but also 3D virtual worlds Typical and innovative engagement mechanisms (polls, debates, Role playing simulation) Cross-platform application deployment Open source components

  14. OpenScienceLink Impact (1/3)

  15. OpenScienceLink Impact (2/3)

  16. OpenScienceLink Impact (3/3)

  17. Service-oriented Architecture (SOA)

  18. Technical Interoperability • XML based protocols (SOAP or REST) • Related Web Services • SOAP 1.2 • Web Services Addressing • Web Services Notification • WSDL-S • Web Services Metadata Exchange • Web Services Resource Framework

  19. Data Interoperability Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) OAI-PMH will be employed by data providers wishing to make their data available to the harvesters of the OpenScienceLink platform This protocol will be also used in order to publish metadata and enable search over its repositories

  20. Semantic Interoperability W3C RDF/OWL ontologies Linked Data approach UMLS mappings between domain ontologies (GO, MeSH, UniProt) Shared models

  21. Thank you very much! • Want to get involved? Visit us at: http://projects.biotec.tu-dresden.de/opensciencelink/

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