DaLiF: a data lifecycle framework for data-driven governments

Abstract The public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity comes from a diversity of sources. This kind known as big data. Public Administrations (PAs) pursue “new oil” implement data-centric policies to transform into knowledge, promote good governance, transparency, innovative digital services, citizens’ engagement policy. From the above, Government Big Data Ecosystem (GBDE) emerges. Managing throughout its lifecycle becomes challenging task for governmental organizations. Despite vast interest this ecosystem, appropriate management still challenge. study intends fill above-mentioned gap by proposing framework data-driven governments. Through Systematic Literature Review, we identified analysed 76 lifecycles models propose governments (DaliF). In way, contribute ongoing discussion around management, which attracts researchers’ practitioners’ interest.