Data Privacy and Governance
This resource hub provides insights and guidance on key issues in data privacy and governance, with a focus on protecting sensitive information while enabling effective data use. It offers frameworks, practical tools, and strategic approaches to help organizations, policymakers, and practitioners navigate privacy challenges, implement best practices, and strengthen digital governance. Designed to support informed decision-making in a continually evolving landscape, this collection will expand over time to reflect emerging developments and priorities.
Data Governance Resource Collection | MedBiquitous Data Governance Resource Collection
This resource collection offers an overview of core data culture and governance principles and practices upon which data culture relies. Rather than being prescriptive, the intent is to present resources that can be browsed and selected according to the unique needs of a particular institution.
Introduction to Data Governance | MedBiquitous Data Governance Resource Collection
Data culture is the shared mindset, values, and practices that guide how an institution uses data to inform decisions, improve outcomes, and foster trust. It promotes data literacy, transparency, and collaboration, ensuring data is accessible, understandable, and used ethically. A key tool for building data culture is a data catalog, which organizes and describes available data so stakeholders can easily find, understand, and use it effectively.
Mapping the Data Landscape | MedBiquitous Data Governance Resource Collection
Mapping the Institutional Data Landscape is a process for identifying, organizing, and visualizing all of an institution’s data assets, how they move, and who is responsible for them. It begins with creating a detailed data inventory—covering data types, locations, ownership, usage, classification, and security—to support better governance, compliance, and strategic use of data. This helps institutions improve visibility, ensure accountability, and make informed decisions about their data.
Privacy Enhancing Technologies: Adoption Guides | GOV.UK
This guide, developed by the Centre for Data Ethics and Innovation (CDEI), serves as an interactive tool to assist organizations in determining the suitability of Privacy Enhancing Technologies (PETs) for their data-driven projects. By navigating a decision-tree format, users can assess factors such as data sensitivity and intended use, facilitating informed choices about implementing PETs like differential privacy or federated learning. The guide is particularly valuable for data practitioners and policymakers aiming to enhance data privacy while maintaining utility.
Repository of Use Cases | PETs Adoption Guide
This repository complements the CDEI's adoption guide by showcasing real-world applications of PETs across various sectors, including healthcare, finance, and education. Each case study details the specific PETs employed, the development stage, and the context of use, providing practical insights into how these technologies can address privacy challenges. Organizations exploring PETs can leverage this repository to learn from existing implementations and tailor solutions to their unique needs.
The Digital, Data and Technology Playbook | GOV.UK
This comprehensive playbook outlines the UK government's approach to procuring and delivering digital, data, and technology projects. It introduces 11 key policy reforms aimed at improving project outcomes, emphasizing principles such as early market engagement, agile delivery, and addressing legacy IT challenges. The playbook serves as a critical resource for government departments and suppliers, promoting best practices and ensuring that digital initiatives are user-centric, efficient, and aligned with strategic objectives.