UM Data Science Research Seminar
The UM Data Science Research Seminar Series are monthly sessions organised by the Institute of Data Science, on behalf of the UM Data Science Community, in collaboration with different departments across UM with the aim to bring together data scientists from Maastricht University to discuss breakthroughs and research topics related to Data Science.
This session is organised in collaboration with the BISS Institute.
Time: 12:00 - 12:30
Title: Federated clinical registries: opportunities and practical challenges.
Speaker: Johan van Soest and Ananya Choudhury
Abstract: Clinical registries collect patient, treatment and outcome information to perform quality control and improvement for given conditions and treatments. In the Netherlands, such registries are maintained by institutes with the specific task to maintain these registries. However, this centralized registry approach raises concerns regarding patient privacy, and influence of such companies. Federated Learning (and secure multiparty computation) is seen as a solution to privacy concerns inherent in centralized data analysis. Using this technique, the analysis is sent to the institute maintaining the data, instead of sending the data to a centralized location. This will reduce the need for centralized data storage and analysis, and creates a more transparent audit trail of analyses performed on a given cohort.
In this presentation, we will present our results developing a proof-of-concept regarding such a federated clinical registry. Furthermore, we will present the practical challenges and consequences for data providers/owners and researchers.
Time: 12:30 - 13:00
Title: Small Business, Big Data: An assessment framework for big data analytics capabilities in SMEs.
Speaker: Mahdi Ebrahim
Abstract: Though firms are investing a lot in big data analytics (BDA), it is not well-understood how this creates business value. Prior research identified important dimensions of BDA capabilities (BDACs) of large organizations, but these capabilities are also relevant for small and medium-sized enterprises (SMEs) in order to sustain and improve their competitiveness. However, due to major differences between large and small organizations, BDAC dimensions are not directly transferrable to SMEs. Therefore, this research aims to develop a framework to assess BDACs of SMEs. A preliminary assessment framework is developed from a systematic literature review that in a later stage is validated by semi-structured interviews with BDA experts. The interviews are also used to customize and augment the framework for SMEs. Our findings indicate that whereas many BDACs dimensions are relevant for both large and small organizations, SMEs should devote attention to non-technical aspects of BDACs as well. Specifically, regarding the knowledge and resource constraints of SMEs, they require more outsourcing and external collaborations for developing BDACs. Our framework contributes to the research on digital transformation of SMEs in general, and specifically, to the assessment of their BDACs. The paper’s practical implication lies in its usefulness for SMEs to successfully develop BDACs and to survive today’s competitive environment.
This event is free and open to everyone. Please register before Thursday 16 September, 11:59 A.M.