Deliverables Websites, patent fillings, videos etc. (5) MIDAS Website The project website will function as the primary source of information available at all times to all stakeholders providing the following: - Project Activities and outcomes; - Repository for external facing project information, reports and deliverables; - Project consortium details and the Horizon 2020 funding mechanism; - Mechanism for contacting the project team and sign-up to project e-newsletter; - Big Data Challenges; The website will make use of an open source mobile responsive framework, such as Twitter Bootstrap, to deliver a high quality device-agnostic, responsive design, user experience. The website and associated social media platforms for MIDAS will make use of appropriate platform tools for digital analytics to measure and report on digital interaction and allow iterative design based on functional test results. Brochure, Poster and e-Newsletters 4 Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points Brochure, Poster and e-Newsletters 1 Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points. Brochure, Poster and e-Newsletters 2 Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points. Brochure, Poster and e-Newsletters 3 Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points Open Research Data Pilot (1) Data management plan Development of an open data related Data Management Plan (DMP) in accordance to the “Guidelines on data management in Horizon 2020” Documents, reports (8) Project Plan MIDAS Framework User Guide Framework and model for the use of the MIDAS platform. This will address issues highlighted in D1.1. This framework and model will include guides on implementation, engagement, communication and benefits. Report on Public Perceptions of Personal Identifiable Data Report on Public Perceptions of Personal Identifiable Data (M24) - A paper exploring public perceptions of various health and security-related uses of PID prepared and submitted for publication. Gender balance participation report As part of the dissemination activities, a more balanced workforce will be promoted. A report on gender balance participation performance within the Consortium will be presented to the Commission at the end of the project. It is anticipated that the report will support the Commission regarding equality policies decision making as well as interim reviews of the effective implementation of the Horizon 2020 framework programme Good Practice Report 1 Good Practice Report 1 describing current legislation, good practice and process in respect of consent, access, storage and use of personal data throughout the consortium/ member states. Visual analytics tool(s) concept V1 Concepts of visualization and visual analytics tools for different stakeholders are defined, including: • Identification of the different stakeholders (e.g. government, national and regional/local health authorities, individuals) and their visualization and analytics needs. The MIDAS Policy Board will play an important role in supporting this work; • Analysis of the data resources and selection of the data variables and indicators for the visualizations. Definitions of information abstraction levels to be able to explore specific impacts in detail; • Selection of the visualization, analysis and other methods (e.g. simulation) for different stakeholders and purposes; • Definition of most critical scenario’s/use cases (Simulation, Forecasting, Policy, Effectiveness assessment, Feedback); • Visual analytics tool specification, including interfaces to data sources, user interfaces and iterative reasoning loop support. Visual analytics tool(s) concept V2 Concepts of visualization and visual analytics tools for different stakeholders are defined, including: • Identification of the different stakeholders (e.g. government, national and regional/local health authorities, individuals) and their visualization and analytics needs. The MIDAS Policy Board will play an important role in supporting this work; • Analysis of the data resources and selection of the data variables and indicators for the visualizations. Definitions of information abstraction levels to be able to explore specific impacts in detail; • Selection of the visualization, analysis and other methods (e.g. simulation) for different stakeholders and purposes; • Definition of most critical scenario’s/use cases (Simulation, Forecasting, Policy, Effectiveness assessment, Feedback); • Visual analytics tool specification, including interfaces to data sources, user interfaces and iterative reasoning loop support. Good Practice Report 2 Good Practice Report 2 describing current legislation, good practice and process in respect of consent, access, storage and use of personal data throughout the consortium/ member states. Other (2) Synthetic Datasets 2 Synthetic data is known as ‘artificial data’ that is simulated from real data using statistical models in order to represent the population yet avoid any divulgence of actual patient records. This task will involve creating synthetic data from the real population datasets that are made available in this project. This artificial data will be simulated using the SynthPop library inside the R programming environment. The synthetic datasets will be validated with the real data by analysing summary statistics and Gaussian distributions. Whilst they are somewhat representative, synthetic datasets avoid various governance and confidentiality issues since real patient or citizen records are not provided or disclosed. Synthetic Datasets 1 Synthetic data is known as ‘artificial data’ that is simulated from real data using statistical models in order to represent the population yet avoid any divulgence of actual patient records. This task will involve creating synthetic data from the real population datasets that are made available in this project. This artificial data will be simulated using the SynthPop library inside the R programming environment. The synthetic datasets will be validated with the real data by analysing summary statistics and Gaussian distributions. Whilst they are somewhat representative, synthetic datasets avoid various governance and confidentiality issues since real patient or citizen records are not provided or disclosed. Publications Conference proceedings (28) System dynamics modelling in policy level innovation orchestration Author(s): Pikkarainen, M., Iivari, M., Gomes, J.F., Ranta, J., Ylén, P. and Hurmelinna-Laukkanen, P. Published in: ISPIM Innovation Symposium, Issue December 2017, 2017 Publisher: The International Society for Professional Innovation Management (ISPIM) Towards the Integration of Prescription Analytics into Health Policy and General Practice Author(s): Cleland, B., Wallace, J., Bond, R., Black, M., Mulvenna, M., Rankin, D. and Tanney, A. Published in: International Conference on Innovative Techniques and Applications of Artificial Intelligence, Issue November 2017, 2017, Page(s) 193-206 Publisher: Springer Text mining tools to explore the news in the context of public health Author(s): Joao Pita Costa, Flavio Fuart, Marko Grobelnik, Gregor Leban, Luka Stopar and Paul Carlin Published in: Slovenian Conference on Data Mining and Data Warehouses (SIKDD 2017), 2017 Publisher: SIKDD 2017 Text mining open datasets to support public health Author(s): Joao Pita Costa, Flavio Fuart, Marko Grobelnik, Gregor Leban, Luka Stopar and Paul Carlin Published in: Workshop on Information Technologies and Systems (WITS 2017), 2017 Publisher: WITS 2017 Q-Methodology Evaluation of a European Health Data Analytic End User Framework Author(s): A Boilson, S Gauttier, R Connolly, P Davis, J Connolly, D Weston, A Staines Published in: Abstract Supplement to the European Journal of Public Health, 2019 Publisher: European Public Health Association (EPH) BOTter than the real thing Author(s): Peter Poliwoda, Juha Pajula Published in: OpenTech AI workshop, Issue 06/05/2019, 2019 Publisher: IBM Helsinki, VTT Finland Application of Q-Methodology & Mixed Methods Design to Explore the Utility of a Data Analytic Framework Author(s): A Boilson, S Gauttier, R Connolly, P Davis, J Connolly, D Weston, A Staines Published in: Journal of the Operational Research Society, 2019 Publisher: (OR) Society Evaluating Impact of an Emerging Big Health Data Platform: A Logic Model and Q-Methodology Approach Author(s): Connolly, J., Staines, A., Connolly, R., Boilson, A., Davis, P., Weston, D., Bloodworth, N. Published in: Entrenova, 2018 Publisher: Entrenova A topological data analysis approach to influenza-like-illness Author(s): Joao Pita Costa, Primož Škraba, Daniela Paolotti and Ricardo Mexia Published in: KDD Healthday 2018, 2018 Publisher: KDD Qualitative Evaluation of a Multi-Level Framework of Technology Acceptance & Use for a European Health Data Analytic Platform Author(s): A Boilson, A Staines, J Connolly, R Connolly, P Davis, D Weston Published in: International Journal of Informatics, 2019 Publisher: International Conference on Information Society (i Society) Text mining MEDLINE to support public health Author(s): Joao Pita Costa, Luka Stopar, Flavio Fuart, Marko Grobelnik, Raghu Santanam, Chen Lu, Paul Carlin, Michaela Black, Johnathan Wallace Published in: SiKDD 2018, 2018 Publisher: IJS Health news bias, public health and digital epidemiology Author(s): J. Pita Costa, F. Fuart, L. Stopar, M. Grobelnik, D. Mladenić, A. Košmerlj, Evgenia Belayeva, Gregor Leban Published in: Data and Algorithms Bias, 2018 Publisher: CIKM Digitalisation of healthcare: Use of data in policy making Author(s): Iivari, Marika., Gomes, Julius Francis., Pikkarainen, Minna., Häikiö, Juha., Ylén, Peter. Published in: XXVIII ISPIM Innovation Conference, Issue 18-21 June 2017, 2018 Publisher: ISPIM """MyData"" potential in public health decisions" Author(s): Gomes, Julius Francis., Pääkkönen, Jarmo., Iivari, Marika., Kemppainen, Laura., Pikkarainen, Minna. Published in: 9th Annual EDSI Conference, Issue 3 - 6 June, 2018, 2018 Publisher: European Decision Science Institute Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch Author(s): Michaela Black, Jonathan Wallace, Debbie Rankin, Paul Carlin, Raymond Bond, Maurice Mulvenna, Brian Cleland, Scott Fischaber, Gorka Epelde, Gorana Nikolic, Juha Pajula, Regina Connolly Published in: 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems`, 2019 Publisher: IEEE Logic Model Early Stage Evaluation of a European Public Health Data Analytic Framework Author(s): A Boilson, A Staines, R Connolly, P Davis, J Connolly, D Weston Published in: Journal Informatics, Special Issue (Open Access Journal by MDPI), 2019 Publisher: 24th UK Academy for Information Systemsms International Conference System dynamics modelling in policy level innovation orchestration Author(s): Pikkarainen, Minna., Iivari, Marika., Gomes, Julius Francis., Ranta, Jukka., Ylén, Peter., Hurmelinna-Laukkanen, Pia. Published in: ISPIM Innovation Summit 2017, Issue 10 - 13 December 2017, 2018 Publisher: ISPIM Using Big Data to Transform Health: The Importance of Evaluation Frameworks Author(s): Connolly, J., Staines, A., Connolly, R., Weston, D., Boilson, A., Davis, P. Published in: Irish Academy of Management Conference, 2018 Publisher: Entrenova Q-Method and the Bootstrap - Visualizations Author(s): A Staines, S Gauttier, R Connolly, P Davis, J Connolly, D Weston, A Boilson Published in: The International Journal of Q Methodology, 2019 Publisher: 35th Annual Q Conference for the Scientific Study of Subjectivity Improving European Healthcare Systems through the Development of a Realist Evaluation Framework for a European Public Health Data Analytic Project Author(s): A Boilson, R Connolly, A Staines, P Davis, J Connolly, D. Weston Published in: Biomed Central (BMC) Implementation Science Journal, 2019 Publisher: 2nd UK Implementation Science Research Conference Machine learning using synthetic and real data: Similarity of evaluation metrics for different healthcare datasets and for different algorithms Author(s): Rachel Heyburn, Raymond R. Bond, Michaela Black, Maurice Mulvenna, Jonathan Wallace, Deborah Rankin, Brian Cleland Published in: Data Science and Knowledge Engineering for Sensing Decision Support, 2018, Page(s) 1281-1291, ISBN 978-981-327-323-8 Publisher: WORLD SCIENTIFIC DOI: 10.1142/9789813273238_0160 Q-Method Evaluation of a European Health Data Analytic End User Framework Author(s): A Boilson, S Gauttier, R Connolly, P Davis, J Connolly, D Weston, A Staines Published in: ENTRENOVA Conference Proceedings, 2019 Publisher: Enterprise Research Innovation Conference (ENTERNOVA) "Mining MEDLINE for the visualisation of a global perspective on biomedical knowledge""" Author(s): Joao Pita Costa, Luka Stopar, Flavio Fuart, Marko Grobelnik, Raghu Santanam, Chen Lu, Paul Carlin, Michaela Black, Johnathan Wallace Published in: KDD Project Showcase Track, 2018 Publisher: KDD Advancing open innovation in data-driven preventive healthcare Author(s): Iivari, Marika., Pikkarainen, Minna., Ylén, Peter., Gomes, Julius Francis., Ranta, Jukka. Published in: 4th World Open Innovation Conference 2017, Issue 14 - 15 December, 2018, 2018 Publisher: N/A Health News Bias and Epidemic Intelligence for Public Health Author(s): J. Pita Costa, F. Fuart, L. Stopar, M. Grobelnik, D. Mladenić, A. Košmerlj, E. Belayeva, L. Rei, G. Leban, J. Wallace Published in: SIKDD Conference Proceedings, 2019 Publisher: Institute Jozef Stefan The meaningfulness of open data in Public Health and Healthcare Author(s): J. Pita Costa, F. Fuart, A. Staines, O.Belar, J. Bidaurrazaga, J. Pääkkönen, G. Epelde, P. Poliwoda, B. Cleland, J. Wallace Published in: European Public Health Conference, 2019 Publisher: EUPHA How To Manage Privacy In A Database For Biomedical Research Purposes In The Rgpd Framework: An Opportunity For Biobanks Author(s): Ezkerra Elizalde, I ; Belar Beitia, O; González Lopez, N; Bidaurrazaga Van-Dierdonck, J; Bilbao Urquiola, R Published in: National Biobank Congress, 2019 Publisher: National Biobank Congress Local-to-global analysis of influenza-like-illness data Author(s): J. Pita Costa, F. Fuart, L. Stopar, D. Paolotti, M. Hirsch, R. Mexia, Paul Carlin, J. Wallace Published in: SIKDD Conference Proceedings, 2019 Publisher: Institute Jozef Stefan Other (3) The MIDAS platform: facilitating the utilisation of healthcare big data in Northern Ireland and beyond (Poster) Author(s): Rankin, D., Black, M., Mulvenna, M., Bond, R., Cleland, B. Published in: 8th Translational Medicine Conference (TMED8), Issue September 2017, 2017 Publisher: 8th Translational Medicine Conference (TMED8) Meaningful Integration of Data, Analytics and Services – Finnish Pilot (Poster) Author(s): Juha Pajula, Mark van Gils Published in: EMBEC 2017, Issue June 2017, 2017 Publisher: EMBEC 2017 A luta europeia contra o coronavirus vista do seu epicentro Author(s): Joao Pita Costa Published in: 2020 Publisher: Visao Peer reviewed articles (1) Insights into Antidepressant Prescribing Using Open Health Data Author(s): Brian Cleland, Jonathan Wallace, Raymond Bond, Michaela Black, Maurice Mulvenna, Deborah Rankin, Austin Tanney Published in: Big Data Research, 2018, ISSN 2214-5796 Publisher: Elsevier Inc. DOI: 10.1016/j.bdr.2018.02.002 Book chapters (1) Towards the Integration of Prescription Analytics into Health Policy and General Practice Author(s): Brian Cleland, Jonathan Wallace, Raymond Bond, Michaela Black, Maurice Mulvenna, Deborah Rankin, Austin Tanney Published in: Artificial Intelligence XXXIV, Issue 10630, 2017, Page(s) 193-206, ISBN 978-3-319-71077-8 Publisher: Springer International Publishing DOI: 10.1007/978-3-319-71078-5_18 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
