Risultati finali
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 4Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points
Brochure, Poster and e-Newsletters 1Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points.
Brochure, Poster and e-Newsletters 2Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points.
Brochure, Poster and e-Newsletters 3Information materials will be developed within the brand platform: logos, social media material, e-newsletters, banners, letter templates, power points
Development of an open data related Data Management Plan (DMP) in accordance to the “Guidelines on data management in Horizon 2020”
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 DataReport 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 reportAs 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 1Good 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 V1Concepts 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 V2Concepts 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 2Good 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.
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 1Synthetic 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.
Pubblicazioni
Autori:
Pikkarainen, M., Iivari, M., Gomes, J.F., Ranta, J., Ylén, P. and Hurmelinna-Laukkanen, P.
Pubblicato in:
ISPIM Innovation Symposium, Numero December 2017, 2017
Editore:
The International Society for Professional Innovation Management (ISPIM)
Autori:
Cleland, B., Wallace, J., Bond, R., Black, M., Mulvenna, M., Rankin, D. and Tanney, A.
Pubblicato in:
International Conference on Innovative Techniques and Applications of Artificial Intelligence, Numero November 2017, 2017, Pagina/e 193-206
Editore:
Springer
Autori:
Joao Pita Costa, Flavio Fuart, Marko Grobelnik, Gregor Leban, Luka Stopar and Paul Carlin
Pubblicato in:
Slovenian Conference on Data Mining and Data Warehouses (SIKDD 2017), 2017
Editore:
SIKDD 2017
Autori:
Joao Pita Costa, Flavio Fuart, Marko Grobelnik, Gregor Leban, Luka Stopar and Paul Carlin
Pubblicato in:
Workshop on Information Technologies and Systems (WITS 2017), 2017
Editore:
WITS 2017
Autori:
A Boilson, S Gauttier, R Connolly, P Davis, J Connolly, D Weston, A Staines
Pubblicato in:
Abstract Supplement to the European Journal of Public Health, 2019
Editore:
European Public Health Association (EPH)
Autori:
Peter Poliwoda, Juha Pajula
Pubblicato in:
OpenTech AI workshop, Numero 06/05/2019, 2019
Editore:
IBM Helsinki, VTT Finland
Autori:
A Boilson, S Gauttier, R Connolly, P Davis, J Connolly, D Weston, A Staines
Pubblicato in:
Journal of the Operational Research Society, 2019
Editore:
(OR) Society
Autori:
Connolly, J., Staines, A., Connolly, R., Boilson, A., Davis, P., Weston, D., Bloodworth, N.
Pubblicato in:
Entrenova, 2018
Editore:
Entrenova
Autori:
Joao Pita Costa, Primož Škraba, Daniela Paolotti and Ricardo Mexia
Pubblicato in:
KDD Healthday 2018, 2018
Editore:
KDD
Autori:
A Boilson, A Staines, J Connolly, R Connolly, P Davis, D Weston
Pubblicato in:
International Journal of Informatics, 2019
Editore:
International Conference on Information Society (i Society)
Autori:
Joao Pita Costa, Luka Stopar, Flavio Fuart, Marko Grobelnik, Raghu Santanam, Chen Lu, Paul Carlin, Michaela Black, Johnathan Wallace
Pubblicato in:
SiKDD 2018, 2018
Editore:
IJS
Autori:
J. Pita Costa, F. Fuart, L. Stopar, M. Grobelnik, D. Mladenić, A. Košmerlj, Evgenia Belayeva, Gregor Leban
Pubblicato in:
Data and Algorithms Bias, 2018
Editore:
CIKM
Autori:
Iivari, Marika., Gomes, Julius Francis., Pikkarainen, Minna., Häikiö, Juha., Ylén, Peter.
Pubblicato in:
XXVIII ISPIM Innovation Conference, Numero 18-21 June 2017, 2018
Editore:
ISPIM
Autori:
Gomes, Julius Francis., Pääkkönen, Jarmo., Iivari, Marika., Kemppainen, Laura., Pikkarainen, Minna.
Pubblicato in:
9th Annual EDSI Conference, Numero 3 - 6 June, 2018, 2018
Editore:
European Decision Science Institute
Autori:
Michaela Black, Jonathan Wallace, Debbie Rankin, Paul Carlin, Raymond Bond, Maurice Mulvenna, Brian Cleland, Scott Fischaber, Gorka Epelde, Gorana Nikolic, Juha Pajula, Regina Connolly
Pubblicato in:
32nd IEEE CBMS International Symposium on Computer-Based Medical Systems`, 2019
Editore:
IEEE
Autori:
A Boilson, A Staines, R Connolly, P Davis, J Connolly, D Weston
Pubblicato in:
Journal Informatics, Special Numero (Open Access Journal by MDPI), 2019
Editore:
24th UK Academy for Information Systemsms International Conference
Autori:
Pikkarainen, Minna., Iivari, Marika., Gomes, Julius Francis., Ranta, Jukka., Ylén, Peter., Hurmelinna-Laukkanen, Pia.
Pubblicato in:
ISPIM Innovation Summit 2017, Numero 10 - 13 December 2017, 2018
Editore:
ISPIM
Autori:
Connolly, J., Staines, A., Connolly, R., Weston, D., Boilson, A., Davis, P.
Pubblicato in:
Irish Academy of Management Conference, 2018
Editore:
Entrenova
Autori:
A Staines, S Gauttier, R Connolly, P Davis, J Connolly, D Weston, A Boilson
Pubblicato in:
The International Journal of Q Methodology, 2019
Editore:
35th Annual Q Conference for the Scientific Study of Subjectivity
Autori:
A Boilson, R Connolly, A Staines, P Davis, J Connolly, D. Weston
Pubblicato in:
Biomed Central (BMC) Implementation Science Journal, 2019
Editore:
2nd UK Implementation Science Research Conference
Autori:
Rachel Heyburn, Raymond R. Bond, Michaela Black, Maurice Mulvenna, Jonathan Wallace, Deborah Rankin, Brian Cleland
Pubblicato in:
Data Science and Knowledge Engineering for Sensing Decision Support, 2018, Pagina/e 1281-1291, ISBN 978-981-327-323-8
Editore:
WORLD SCIENTIFIC
DOI:
10.1142/9789813273238_0160
Autori:
A Boilson, S Gauttier, R Connolly, P Davis, J Connolly, D Weston, A Staines
Pubblicato in:
ENTRENOVA Conference Proceedings, 2019
Editore:
Enterprise Research Innovation Conference (ENTERNOVA)
Autori:
Joao Pita Costa, Luka Stopar, Flavio Fuart, Marko Grobelnik, Raghu Santanam, Chen Lu, Paul Carlin, Michaela Black, Johnathan Wallace
Pubblicato in:
KDD Project Showcase Track, 2018
Editore:
KDD
Autori:
Iivari, Marika., Pikkarainen, Minna., Ylén, Peter., Gomes, Julius Francis., Ranta, Jukka.
Pubblicato in:
4th World Open Innovation Conference 2017, Numero 14 - 15 December, 2018, 2018
Editore:
N/A
Autori:
J. Pita Costa, F. Fuart, L. Stopar, M. Grobelnik, D. Mladenić, A. Košmerlj, E. Belayeva, L. Rei, G. Leban, J. Wallace
Pubblicato in:
SIKDD Conference Proceedings, 2019
Editore:
Institute Jozef Stefan
Autori:
J. Pita Costa, F. Fuart, A. Staines, O.Belar, J. Bidaurrazaga, J. Pääkkönen, G. Epelde, P. Poliwoda, B. Cleland, J. Wallace
Pubblicato in:
European Public Health Conference, 2019
Editore:
EUPHA
Autori:
Ezkerra Elizalde, I ; Belar Beitia, O; González Lopez, N; Bidaurrazaga Van-Dierdonck, J; Bilbao Urquiola, R
Pubblicato in:
National Biobank Congress, 2019
Editore:
National Biobank Congress
Autori:
J. Pita Costa, F. Fuart, L. Stopar, D. Paolotti, M. Hirsch, R. Mexia, Paul Carlin, J. Wallace
Pubblicato in:
SIKDD Conference Proceedings, 2019
Editore:
Institute Jozef Stefan
Autori:
Rankin, D., Black, M., Mulvenna, M., Bond, R., Cleland, B.
Pubblicato in:
8th Translational Medicine Conference (TMED8), Numero September 2017, 2017
Editore:
8th Translational Medicine Conference (TMED8)
Autori:
Juha Pajula, Mark van Gils
Pubblicato in:
EMBEC 2017, Numero June 2017, 2017
Editore:
EMBEC 2017
Autori:
Joao Pita Costa
Pubblicato in:
2020
Editore:
Visao
Autori:
Brian Cleland, Jonathan Wallace, Raymond Bond, Michaela Black, Maurice Mulvenna, Deborah Rankin, Austin Tanney
Pubblicato in:
Big Data Research, 2018, ISSN 2214-5796
Editore:
Elsevier Inc.
DOI:
10.1016/j.bdr.2018.02.002
Autori:
Brian Cleland, Jonathan Wallace, Raymond Bond, Michaela Black, Maurice Mulvenna, Deborah Rankin, Austin Tanney
Pubblicato in:
Artificial Intelligence XXXIV, Numero 10630, 2017, Pagina/e 193-206, ISBN 978-3-319-71077-8
Editore:
Springer International Publishing
DOI:
10.1007/978-3-319-71078-5_18
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