Policy Cloud has published a preliminary version of the Data Management Plan (DMP) which defines the general rules and mechanisms for the management of data to be collected, generated and processed during the project.
Key Principles
Prepared by Policy Cloud coordinating partner ATOS, the DMP reflects a strategy in adherence with European Commission (2016) Guidelines on FAIR Data Management in Horizon 2020, and which articulates around the following principles:
Key Topics
In line with the purpose of the DMP, which is to support the data management lifecycle so as to maximise data access, the document lays out guidelines in these areas:
Datasets
Currently the document identifies 17 datasets. Given that the purpose of the Policy Cloud project is to harness the potential of digitisation, big data and cloud technologies to improve the modelling, creation and implementation of policy, most of these datasets are pertinent to the four pilot use cases at the core of the project. Other datasets include stakeholder information and public deliverables within the project scope.
Pilot Use Cases
The outputs from Policy Cloud will be applied to the full lifecycle of policy management in four thematically distinct pilot use cases which will demonstrate the use of data in formulating policy around political political radicalisation, the food value chain, urban environmental planning, and social services planning.
The DMP is a living document and will be periodically updated during the course of the project.