Group Lead: Uruguay
At the fifth Ministerial Summit in Israel, Digital Nations members agreed to the formation of a new thematic group, Data 360.
Data is a critical asset to create proactive public services and effective public policies, as well as a catalyst for the digital transformation of governments. The name "Data 360" refers to an encompassing view of data. Data360 TG will seek to develop a holistic approach of data management in the public administration. The group will: Share experience and best practices among member countries in developing this data strategy Identify which data dimensions appear to be most critical and develop a programme of work to guide the implementation of data strategies with a holistic approach Perform other actions between members, such as Proof of Concept.
Data is the central asset in everything that government oversees and provides. The ability to leverage that data strategically, in real time, will drive data-based decision making and enable step-level change in government's ability to seamlessly deliver services. For the development of digital government, different concepts and initiatives have been addressed on how to generate, share, make available and manage data by governments. Interoperability, open data, personal data protection, information security and data analytics are examples of this. Moreover, as New Zealand's data strategy states: "the availability of new data sets and sophisticated technologies has enables new and exciting data uses that continue to transform how individuals see, act and engage with the world." Most Digital Nations countries have developed or are announcing the development of a national strategy. Taking advantage of these experiences to showcase state-of-art technologies, share best practices, and create new capabilities is one of the greatest assets of the Digital Nations network
Key Questions and Issues
The group will consider State-of-the-art: Share national data strategies Data dimensions: Identify data dimensions to be addressed under a 360 approach. These dimensions may include: Semantics, integration: How is the public sector data conceptualized, exchanged and shared? Classifications and initiatives: Open data (open by default), personal data (privacy by design, data empowerment of citizens), exchange of public data (interoperability platforms, enterprise architecture), unstructured data (how big data, IoT, NLP and other technologies bring new paradigms in the way data are collected, combined and analysed?). How are these initiatives related? Rights and ethics: Governance models and principles to balance privacy and safety concerns, how to ensure that data-driven decisions are not perpetuating biases and prejudice? Data management: The amount of data available is growing at an amazing speed. How to effectively manage data and information assets? (roles and competencies, management tools, security, quality) Data exploitation technologies: How to implement data analytics or AI projects?
Opportunities and Challenges
Identify and discuss opportunities and challenges around data, such as official data vs informal public data, legal and economic value of the public data, and public-private data exchange.