D2.2 Data register, feature report and accreditation
Year: 2025
Type: article
Abstract: The PHOEBE Framework is a methodological approach designed for cities to improve understanding of the safety implications of future changes in the transport systems, such as behavioural changes, redesign or new infrastructure, or evolving modes of travel. To do so, this requires evidential data and proven approaches. This document details the use of data in the PHOEBE framework. This is supported by: 1. An account of the purpose of this document. 2. A review of the project data including: a. A review of prior project data registers and the need for public facing registers. b. A documented summary of the D2.2 live document public registers related to data. This includes: i. Data resource and FAIR register, detailing the aim and structure of this resource. ii. Features framework register, detailing the aim and structure of this resource. 3. A review of AI usage in the project, including: a. Summary of management controls and processes for AI management in the project. b. Extensive details on the usage of AI and its management for compliance. 4. The use of accreditation approaches to ensure new data sources meet the required standards of accuracy and value. Ultimately, this report summarises the use of data, AI and accreditation in the PHOEBE project from a data management perspective. This document is supported by public registers published at https://doi.org/10.5281/zenodo.16737146.
Authors: The Floow, Chapman, Sam
Institution: The Floow (United Kingdom)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7083417205
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