Granted by European Commission Seventh FrameworkProgrammes
Open Science Link: “Open Semantically-enabled, Social-aware Access to Scientific Data (CIP-ICT PSP-2012-6)”, represented by habil.dr. Robertas Bunevičius (2013.02.01 - 2014.04)
Open Science Link will 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. OpenScienceLink will pilot a range of novel services that could alleviate the lack of structured data journals and associated data models, the weaknesses of the review process, the poor linking of scientific information, as well as the limitations of current research evaluation metrics and indicators. Five pilot services will be integrated and piloted in particular: (a) Data journals development based on semantically-enabled research dynamics detection, (b) A novel open, semantically-assisted peer review process, (c) A services for detection and analysis of research trends, (d) Services for Dynamic researchers’ collaboration based on non-declared, semantically-inferred relationships, and (e) A set of scientific field-aware, productivity- and impact-oriented enhanced research evaluation services. These services will be developed over the OpenScienceLink platform, which will be based on the semantic and social networking capabilities of background FP7 projects, as well as of the popular GoPubMed search engine. The OpenScienceLink services will be piloted with the active participation of over 1200 researchers from the consortium organizations. OpenScienceLink has already established a group of external users/stakeholders that will contribute additional users/researchers in the scope of the validation process, while also engaging in the sustainable use of the services. OpenScienceLink will also study the business potential of open access paradigms, through investigating and pursuing multiple business models including author fees, hard copy sales, advertisements, sponsorship, as well as subscription based models. Furthermore, as part of its holistic approach, OpenScienceLink will devise and validate a legal framework for regulating and reusing open scientific data.
7 BP BIO ASQ: “A challenge on large-scale biomedical sematic indexing and question answering (ICT Call 8:FP7-ICT-2011-8)”. Project underway since 2013.02.01, represented by habil.dr. Robertas Bunevičius.
BP BIO ASQ initiates a series of challenges on biomedical semantic indexing and question answering (QA).
The challenge (aka competition or shared task) will assess:
- large-scale classification of biomedical documents onto ontology concepts (semantic indexing),
- classification of biomedical questions onto relevant concepts,
- retrieval of relevant document snippets, concepts and knowledge base triples, delivery of the retrieved information in a concise and user-understandable form.
7BP PONTE:”Efficient Patient Recruitment for Innovative Clinical Trials of Existing Drugs to other Indications”, (Sut.Nr.247945). Project underway 2010-2013 m, represented by habil.dr. Robertas Bunevičius.
Efficient Patient Recruitment for Innovative Clinical Trials of Existing Drugs to other Indications Clinical trials are increasingly considered to be not only a means for evaluating the effectiveness of new medicine and pharmaceutical formulas but also for experimenting on existing drugs and their appliance to new diseases and disorders. Pharmaceutical companies tend to prefer launching modified versions of existing drugs, which generate generous profits while carrying little risk of rejection. Translation into clinical therapy has to overcome substantial barriers at the preclinical and clinical levels. Thus, bridging basic science to clinical practice comprises a new scientific challenge which can result in successful clinical applications with low financial cost. In the aforementioned context, the results yielding from clinical trials, which are testing the effectiveness of existing drugs and pharmaceutical formulas on diseases other than the ones they are currently treating, are closely dependent on the available data and the patients. The efficacy of such trials requires the pursuit of a number of aspects that need to be addressed ranging from the aggregation of data from various heterogeneous distributed sources (such as electronic health records - EHRs) to the intelligent processing of this data based on the clinical trial-specific requirements for choosing the appropriate patients eligible for recruitment. Within this framework, PONTE aims at providing a platform following a Service Oriented Architecture (SOA) approach that will offer intelligent automatic identification of individuals eligible (concerning their safety and clinical trial efficacy) to participate in clinical trials, as these will be designed and planned through a flexible authoring tool, enabling semantic interoperability of clinical care information systems with clinical research information systems and drug and disease knowledge databases, as well as the appliance of advanced data mining techniques and enhanced learning algorithms.