Data, the raw material from which information is derived, is stored, copied, moved and modified more easily than ever. This quantum leap reaches levels outside our imagination. Surrounded by sensors, recommendation systems, invisible algorithms, spreadsheets and blockchains, the ‘difference that makes …

Traditionally moving raw data from source to destination has been a tedious process of planning infrastructure predicting scalability, availability, and costs. The solution demonstrated in this thesis is a serverless ETL pipeline that manages semi-structured data and transforms it into a query-compatible …

Uit: M. Kraan, S. Weijers, & B. Vannieuwenhuyse (Eds.), Bijdragen Vervoerslogistieke Werkdagen 2022 Digitalization and the introduction of data driven logistics are developments that Dutch SME’s cannot afford to ignore.

Data has been deemed fundamental to the digital transformation in society and businesses. It can influence all spheres of a company. Data-driven insights enable companies to make better decisions and thus to become more competitive in the market. The demand for data-literate employees and citizens needs …

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

PURPOSE: To understand the patient journey to Lumbar Spinal Fusion Surgery (LSFS) and patients' experiences of surgery. METHODS: Qualitative study using interpretive phenomenological analysis. Adult participants following LSFS were recruited from 4 UK clinical sites using purposive sampling to ensure …

During the COVID-19 pandemic, the bidirectional relationship between policy and data reliability has been a challenge for researchers of the local municipal health services. Policy decisions on population specific test locations and selective registration of negative test results led to population differences …

Background Identifying modifiable factors associated with well-being is of increased interest for public policy guidance. Developments in record linkage make it possible to identify what contributes to well-being from a myriad of factors. To this end, we link two large-scale data resources; the Geoscience …

In projects concerning big data, ethical questions need to be answered during the design process. In this paper the Value Sensitive Design method is applied in the context of data-driven health services aimed at disease prevention. It shows how Value Sensitive Design, with the use of a moral dialogue …